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11 Pie plots
class pie_plot.T
Pie plots.
Sample pie chart
Below is the source code that produces the above chart.
../demos/pietest.py
from pychart import *
import sys
data = [("foo", 10),("bar", 20), ("baz", 30), ("ao", 40)]
ar = area.T (size=(150,150), legend=legend. T(),
x_grid_style = None, y_grid_style = None)
plot = pie_plot.T (data=data, arc_offsets=[0,10,0,10],
shadow = (2, -2, fill_style. gray50),
label_offset = 25,
arrow_style = arrow.a3)
ar.add_plot(plot)
ar.draw()
This class supports the following attributes:
arc_offsets
Type: list
Default: None.
You can draw each pie "slice" shifted off-center.
This attribute, if non-None,
must be a number sequence whose length is equal to
the number of pie slices. The Nth value in arc_offsets
specify the amount of offset
(from the center of the circle)
for the Nth slice.
The value of None will draw all the slices
anchored at the center.
arrow_style
Type: arrow.T
( see Section 19 )
Default: None.
The style of arrow that connects a label
to the corresponding "pie".
center
Type: (x,y) or None
Default: None.
The location of the center of the pie.
data
Type: any
Default: None.
Specifies the data points. See Section 5
data_col
Type: int
Default: 1.
The column, within "data", from which the data values are retrieved.
fill_styles
Type: list
Default: ['fill_style.black', 'fill_style.gray70', 'fill_style.diag', 'fill_style.gray50', 'fill_style.white', 'fill_style.rdiag', 'fill_style.vert', 'fill_style.gray30', 'fill_style.gray20', 'fill_style.gray10', 'fill_style.diag2', 'fill_style.rdiag2', 'fill_style.diag3', 'fill_style.horiz', 'fill_style.gray90', 'fill_style.rdiag3', 'fill_style.wave', 'fill_style.vwave', 'fill_style.stitch', 'fill_style.lines', 'fill_style.diag_fine', 'fill_style.diag2_fine', 'fill_style.diag3_fine', 'fill_style.rdiag_fine', 'fill_style.rdiag2_fine', 'fill_style.rdiag3_fine', 'fill_style.horiz_fine', 'fill_style.vert_fine'].
The fill style of each item. The length of the
list should be equal to the length of the data.
label_col
Type: int
Default: 0.
The column, within "data", from which the labels of items are retrieved.
label_fill_style
Type: fill_style.T
( see Section 16 )
Default: fill_style.default.
The fill style of the frame surrounding each label.
label_format
Type: printf format string
Default: "%s".
Format string of the label
label_line_style
Type: line_style.T
( see Section 14 )
Default: None.
The style of the frame surrounding each label.
label_offset
Type: length in points ( See Section 4 )
Default: None.
The distance from the center of each label.
line_style
Type: line_style.T
( see Section 14 )
Default: line_style.black.
The style of the outer edge of each pie slice.
radius
Type: length in points ( See Section 4 )
Default: None.
The radius of the pie.
shadow
Type: (xoff,yoff,fill)
Default: None.
The value is either None or a tuple. When non-None,
a drop-shadow is drawn beneath the object. X-off, and y-off specifies the
offset of the shadow relative to the object, and fill specifies the
style of the shadow ( see Section 16 ).
start_angle
Type: number
Default: 90.
The angle at which the first item is drawn.
Documentation released on July 2, 2005.
PyChart-1.39/doc/pychart/module-text-box.html 0000644 0001750 0001750 00000022011 10352146646 022621 0 ustar santiago santiago 0000000 0000000
18 Annotation
class text_box.T
A text box is an optional element that adds a text box and arrows to a
chart. This class supports the following attributes:
bottom_fudge
Type: length in points ( See Section 4 )
Default: 5.
The amount of space below the last line
fill_style
Type: fill_style.T
( see Section 16 )
Default: fill_style.white.
Specifies the fill style of the text box.
left_fudge
Type: length in points ( See Section 4 )
Default: 5.
The amount of space left of the box
line_style
Type: line_style.T
( see Section 14 )
Default: line_style.black.
The line style of the surrounding frame.
loc
Type: tuple
Default: (0, 0).
The location of the text box.
radius
Type: length in points ( See Section 4 )
Default: 0.
Radius of the four corners of the rectangle.
If the value is zero, a sharp-cornered
rectangle is drawn.
right_fudge
Type: length in points ( See Section 4 )
Default: 5.
The amount of space right of the box
shadow
Type: (xoff,yoff,fill)
Default: None.
The value is either None or a tuple. When non-None,
a drop-shadow is drawn beneath the object. X-off, and y-off specifies the
offset of the shadow relative to the object, and fill specifies the
style of the shadow ( see Section 16 ).
text
Type: str
Default: "???".
Text body. See Section 17
top_fudge
Type: length in points (See Section 4 )
Default: 0.
The amount of space (in points) above the first line
In addition to the above attributes, this class
provides the following methods.
add_arrow tip, tail=None, arrow=arrow.default )
This method adds a straight arrow that points to tip , which is
a tuple of integers. Parameter tail
specifies the starting point of the
arrow. It is either None or a string consisting of the following
letters:
'l', 'c', 'r', 't', 'm,', 'b'
Letters 'l', 'c', or 'r'
means to start the arrow from the left, center, or right of the text
box, respectively. Letters 't', 'm', or 'b' means to start the arrow
from the top, middle or bottom of the text box. For example, when
tail = 'tc' then arrow is drawn from top-center point of the text
box. Parameter arrow specifies the style of the arrow.
See Also:
Section
19 for arrows.
Annotations example
Below is the source code that produces the above chart.
../demos/annotations.py
from pychart import *
tb = text_box.T (loc=(100,100), text="Without frame")
tb.add_arrow((50, 100))
tb.add_arrow((180, 100))
tb.draw()
tb = text_box.T (loc=(100,130), text="/hCMulti\n/bLine")
tb.add_arrow((50, 120))
tb.add_arrow((180, 100))
tb.draw()
tb = text_box.T (loc=(100,160), text="Fat arrow", line_style=None)
tb.add_arrow((180, 140), tail='rm', arrow = arrow.fat1)
tb.draw()
text_box.T (loc=(180, 100), text="/a90Funny background",
fill_style = fill_style. gray70).draw()
text_box.T (loc=(180, 140), text="/hL/20Big/oText\n/24/bHuge/oText",
fill_style = None).draw()
Documentation released on July 2, 2005.
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12 Rose plots
class rose_plot.T
Rose plot class is contributed by Kilian Hagemann. It's still experimental.
Sample rose plot
Below is the source code that produces the above chart.
../demos/roseplottest.py
from pychart import *
theme. use_color = 1
data1 = [ 0.27027027, 0.74324324, 0. ,
0.34459459 ,0.47297297 ,0.06756757,
0.90540541 ,1. ,0.40540541 ,
0.33783784 ,0.33783784 ,0.16216216]
data2 = [ 0.93333333, 0.46666667 ,0.26666667 ,
0.60666667 ,0.6 ,0.73333333,
0.22666667, 0.72 ,0.13333333 ,
0.46666667 ,1. ,0.29333333]
data = [('/7Model', data1), ('/7Station', data2)]
ar = area.T (legend=legend. T(loc=(100,-5), right_fudge=0, left_fudge=3))
plot = rose_plot.T(data=data, sector_centred=True)
ar.add_plot(plot)
ar.draw()
This class supports the following attributes:
base_radius
Type: number
Default: None.
center
Type: (x,y) or None
Default: None.
data
Type: any
Default: None.
Specifies the data points. See Section 5
data_col
Type: int
Default: 1.
The column, within "data", from which the data values are retrieved.
dir_fill_style
Type: fill_style.T
( see Section 16 )
Default: fill_style.default.
dir_line_style
Type: line_style.T
( see Section 14 )
Default: None.
dir_offset
Type: length in points ( See Section 4 )
Default: None.
The distance between the directions and the outermost circle. Defaults fine for most cases
fill_styles
Type: list
Default: ['fill_style.black', 'fill_style.gray70', 'fill_style.diag', 'fill_style.gray50', 'fill_style.white', 'fill_style.rdiag', 'fill_style.vert', 'fill_style.gray30', 'fill_style.gray20', 'fill_style.gray10', 'fill_style.diag2', 'fill_style.rdiag2', 'fill_style.diag3', 'fill_style.horiz', 'fill_style.gray90', 'fill_style.rdiag3', 'fill_style.wave', 'fill_style.vwave', 'fill_style.stitch', 'fill_style.lines', 'fill_style.diag_fine', 'fill_style.diag2_fine', 'fill_style.diag3_fine', 'fill_style.rdiag_fine', 'fill_style.rdiag2_fine', 'fill_style.rdiag3_fine', 'fill_style.horiz_fine', 'fill_style.vert_fine'].
The fill style of each item. The length of the
list should be equal to the length of the data.
label_col
Type: int
Default: 0.
The column, within "data", from which the labels of items are retrieved.
line_style
Type: line_style.T
( see Section 14 )
Default: linestyle: width=0.3, color=default, dash=None, cap=0, join=0 .
sector_centred
Type: int
Default: 1.
Bool indicating whether the sectors should be centred on each sector_width(e.g. on 0)
sector_width
Type: int
Default: None.
shadow
Type: (xoff,yoff,fill)
Default: None.
The value is either None or a tuple. When non-None,
a drop-shadow is drawn beneath the object. X-off, and y-off specifies the
offset of the shadow relative to the object, and fill specifies the
style of the shadow ( see Section 16 ).
start_angle
Type: number
Default: 90.
Documentation released on July 2, 2005.
PyChart-1.39/doc/pychart/module-line-style.html 0000644 0001750 0001750 00000014344 10352146645 023145 0 ustar santiago santiago 0000000 0000000
14 Line styles
class line_style.T
This class defines the looks of line segments.
This class supports the following attributes:
cap_style
Type: int
Default: 0.
Defines the style of the tip of the line segment.
0: butt cap (square cutoff, with no projection beyond),
1: round cap (arc), 2: projecting square cap
(square cutoff, but the line extends half the line width).
See also Postscript/PDF reference manual.
color
Type: color.T
( see Section 15 )
Default: color.black.
The color of the line.
dash
Type: tuple
Default: None.
The value
of None will draw a solid line. Otherwise, this
attribute specifies the style of dashed lines.
The 2N'th value specifies the length of the line (in points),
and 2N+1'th value specifies the length of the blank.
For example, the dash style of (3,2,4,1) draws a dashed line that
looks like ---__----_---__----_....
join_style
Type: int
Default: 0.
Join style. 0: Miter join (sharp, pointed corners),
1: round join (rounded corners),
2: bevel join (flattened corners).
See also Postscript/PDF reference manual.
width
Type: length in points ( See Section 4 )
Default: 0.4.
Width of the line, in points.
The below picture show standard line styles.
These styles are referred to by names
line_style.name , where name is the label below each item.
Documentation released on July 2, 2005.
PyChart-1.39/doc/pychart/node29.html 0000644 0001750 0001750 00000013624 10352146646 020676 0 ustar santiago santiago 0000000 0000000
17.2 Procedures provided in the font module
font module
font module defines several procedures and variables for
manipulating texts and fonts:
text will display
as-is when passed to canvas.show().
>>> font.quotemeta("foo/bar")
"foo//bar"
Return the total height of the text and the length from the
base point to the top of the text box.
Return the width of the text in points.
Return the bounding box of the text ,
assuming that the left-bottom corner
of the first letter of the text is at (0, 0). This procedure ignores
/h, /v, and /a directives when calculating the boundingbox; it just returns the
alignment specifiers as a part of the return value. The return value is a
tuple (width, height, halign, valign, angle).
Documentation released on July 2, 2005.
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Index
Symbols a b c d e f g h i j l m n o p q r s t u v w x y z { }
Symbols
A
B
C
D
E
F
file
generating multiple files
read
write ,
[Link] ,
[Link]
file name ,
[Link]
file object
fill-style (extension module)
fill_style
fill_style (bar_plot.T attribute)
fill_style (error_bar.error_bar4 attribute)
fill_style (error_bar.error_bar6 attribute)
fill_style (range_plot.T attribute)
fill_style (text_box.T attribute)
fill_style (tick_mark.T attribute)
fill_style.Diag (class in fill-style)
fill_style.Horiz (class in fill-style)
fill_style.Lines (class in fill-style)
fill_style.Plain (class in fill-style)
fill_style.Rdiag (class in fill-style)
fill_style.Stitch (class in fill-style)
fill_style.T (class in fill-style)
fill_style.Vert (class in fill-style)
fill_style.Vwave (class in fill-style)
fill_style.Wave (class in fill-style)
fill_styles (interval_bar_plot.T attribute)
fill_styles (pie_plot.T attribute)
fill_styles (rose_plot.T attribute)
filter() (in module chart-data)
font ,
[Link] ,
[Link] ,
[Link] ,
[Link]
family ,
[Link]
gray scale
height
size ,
[Link] ,
[Link]
font (extension module)
format
read_csv
read_str
write
format (axis.X attribute)
format (axis.Y attribute)
frame_fill_style (legend.T attribute)
frame_line_style (legend.T attribute)
func() (in module chart-data)
G
H
I
J
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
{
}
Documentation released on July 2, 2005.
PyChart-1.39/doc/pychart/modules.png 0000644 0001750 0001750 00000001126 10352146643 021055 0 ustar santiago santiago 0000000 0000000 PNG
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17.3 Displaying Unicode strings
Starting from version 1.39, PyChart can display single-byte Unicode
characters (that is, code point below 256), such as European umlaut
and accent characters. It still does not support composite
fonts, including Chinese, Japanese, and Korean (volunteer
contributions welcome!!). To display a Unicode text, pass a Python's
unicode string to the text-drawing functions, such as
canvas.show. Below is an example.
Unicode example
Below is the source code that produces the above chart.
../demos/unicodetest.py
# -*- coding: utf-8 -*-
from pychart import *
can = canvas. default_canvas()
x, y = (100, 500)
def show_text(str):
global x, y
can.show(x, y, str)
can.show(x + 200, y, "/12/C" + font.quotemeta(str))
y -= 20
show_text(unicode('Zürich', 'utf-8'))
show_text(unicode('X äöü Y', 'utf-8'))
Documentation released on July 2, 2005.
PyChart-1.39/doc/pychart/module-bar-plot.html 0000644 0001750 0001750 00000035027 10352146644 022600 0 ustar santiago santiago 0000000 0000000
7 Bar plots
class bar_plot.T
This class draws a bar plot.
Sample bar plot
Below is the source code that produces the above chart.
../demos/bartest.py
from pychart import *
theme. get_options()
data = [(10, 20, 30, 5), (20, 65, 33, 5),
(30, 55, 30, 5), (40, 45, 51, 7), (50, 25, 27, 3)]
chart_object.set_defaults(area.T , size = (150, 120), y_range = (0, None),
x_coord = category_coord.T (data, 0))
chart_object.set_defaults(bar_plot.T , data = data)
# Draw the 1st graph. The Y upper bound is calculated automatically.
ar = area.T (x_axis=axis. X(label="X label", format="/a-30{}%d"),
y_axis=axis. Y(label="Y label", tic_interval=10))
ar.add_plot(bar_plot.T (label="foo", cluster=(0, 3)),
bar_plot.T (label="bar", hcol=2, cluster=(1, 3)),
bar_plot.T (label="baz", hcol=3, cluster=(2, 3)))
ar.draw()
ar = area.T (legend = legend. T(), loc=(250,0),
x_axis=axis. X(label="X label", format="/a-30{}%d"),
y_axis=axis. Y(label="Y label", tic_interval=10))
bar_plot.fill_styles.reset();
plot1 = bar_plot.T (label="foo")
plot2 = bar_plot.T (label="bar", hcol=2, stack_on = plot1)
plot3 = bar_plot.T (label="baz", hcol=3, stack_on = plot2)
ar.add_plot(plot1, plot2, plot3)
ar.draw()
Bar plot with error bars
Below is the source code that produces the above chart.
../demos/bartest2.py
from pychart import *
theme. get_options()
data = [(10, 20, 3.0), (20, 65, 2.5),
(30, 55, 5.0), (40, 45, 3.0), (50, 25, 2.0)]
ar = area.T (x_axis=axis. X(label="X", format="/a-30{}%d", tic_interval=20),
y_axis = axis. Y())
ar.add_plot(bar_plot.T (data=data,
line_style=None, fill_style = fill_style. gray50,
error_bar = error_bar. bar2, error_minus_col=2))
ar.draw()
The list the attributes understood by an bar_plot.T object follow:
bcol
Type: int
Default: 0.
Specifies the column from which base values (i.e., X values when attribute "direction" is "vertical", Y values otherwise) are extracted.
The
combination of "data", "bcol", and "hcol" attributes defines
the set of boxes drawn by this chart. See the
below example:
d = [[5,10], [7,22], [8,25]]
p = bar_plot.T (data = d, bcol = 1, hcol = 2)
Here, three bars will be drawn. The X values of the bars
will be 5, 7, and 8. The Y values of the bars will be
10, 22, and 25, respectively. (In practice, because
the values of bcol and hcol defaults to 1 and 2, you can
write the above example just as "p = bar_plot.T(data = d)".
cluster
Type: tuple
Default: (0, 1).
This attribute is used to
cluster multiple bar plots side by side in a single chart.
The value should be a tuple of two integers. The second value should be equal to the total number of bar plots in the chart. The first value should be the relative position of this chart; 0 places this chart the leftmost, and N-1
(where N is the 2nd value of this attribute) places this chart the rightmost. Consider the below example:
a = area.T (...)
p1 = bar_plot.T (data = [[1,20][2,30]], cluster=(0,2))
p2 = bar_plot.T (data = [[1,25],[2,10]], cluster=(1,2))
a.add_plot(p1, p2)
a.draw()
In this example, one group of bars will be drawn side-by-side at
position x=1, one with height 20, the other with height 25. The
other two bars will be drawn side by side at position x=2, one
with height 30 and the other with height 10.
cluster_sep
Type: length in points ( See Section 4 )
Default: 0.
The separation between
clustered boxes.
data
Type: any
Default: None.
Specifies the data points. See Section 5
data_label_format
Type: printf format string
Default: None.
The
format string for the label displayed besides each
bar. It can be a `printf' style format
string, or a two-parameter function that
takes (x,y) values and returns a string. The appearance of the string produced here can be
controlled using escape sequences. See Section 17
data_label_offset
Type: (x,y) or None
Default: (0, 5).
The location of data labels relative to the sample point. See also attribute data_label_format.
direction
Type: str
Default: "vertical".
The direction the growth of the bars. The value is either 'horizontal'
or 'vertical'.
error_bar
Type: error_bar.T
( see Section 9.2 )
Default: None.
Specifies the style of the error bar. See Section 9.2
error_minus_col
Type: int
Default: -1.
Specifies the column from which the depth of the errorbar is extracted. This attribute is meaningful only when
error_bar != None.
error_plus_col
Type: int
Default: -1.
The depth of the errorbar is extracted from
this column in data. This attribute is meaningful only
when error_bar != None.
fill_style
Type: fill_style.T
( see Section 16 )
Default: The style is picked from standard styles round-robin..
Defines the fill style of each box.
hcol
Type: int
Default: 1.
The column from which the height of each bar is extracted.
See also the description of the 'bcol' attribute.
label
Type: str
Default: "???".
The label to be displayed in the legend. See Section 6.3 , See Section 17
legend_fill_style
Type: fill_style.T
(see Section 16 )
Default: None.
The fill style used to draw a legend entry. Usually, the value is None, meaning that the value of "fill_style" attribute is used.
legend_line_style
Type: line_style.T
( see Section 14 )
Default: None.
The line style used to draw a legend entry. Usually, the value is None, meaning that the value of "line_style" attribute is used.
line_style
Type: line_style.T
( see Section 14 )
Default: line_style.black.
The style of the outer frame of each box.
qerror_minus_col
Type: int
Default: -1.
The depth of the "quartile" errorbar is extracted from
this column in data. This attribute is meaningful only
when error_bar != None.
qerror_plus_col
Type: int
Default: -1.
The depth of the "quartile" errorbar is extracted from
this column in data. This attribute is meaningful only
when error_bar != None.
stack_on
Type: any
Default: None.
The value must be either None or bar_plot.T. If not None, bars of this plot are stacked on top of another bar plot.
width
Type: length in points ( See Section 4 )
Default: 5.
Width of each box.
Documentation released on July 2, 2005.
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9.1 Tick marks
class tick_mark.T
Tick marks are used in conjunction with line plots ( see Section 9 )
to show where sample points are.
Class tick_mark.T is an abstract base class, from which
several built-in tick mark classes are derived. They are described later.
Class tick_mark.T supports the following set of attributes.
fill_style
Type: fill_style.T
( see Section 16 )
Default: fill_style.white.
The fill style.
line_style
Type: line_style.T
( see Section 14 )
Default: line_style.black.
The line style of the tick mark.
size
Type: length in points ( See Section 4 )
Default: 5.
Size of the tick mark.
Several types of tick marks are offered by PyChart as subclasses of
tick_mark.T. They include: tick_mark.Circle,
tick_mark.Square, tick_mark.Triangle, tick_mark.DownTriangle,
tick_mark.X, tick_mark.Plus, tick_mark.Diamond, tick_mark.Star,
tick_mark.Null. Specific instance of these classes are also defined for
your convenience. Below is the list of such standard tick marks. They
are referred to by as "tick_mark.name ", where name is
the labels below them.
Documentation released on July 2, 2005.
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1@D P1@N :D P1@N :r$+ IENDB` PyChart-1.39/doc/pychart/module-theme.html 0000644 0001750 0001750 00000031464 10352146646 022165 0 ustar santiago santiago 0000000 0000000
13.1 theme - Defining the default behaviour of PyChart
theme - Defining the default behaviour of PyChart
You can change PyChart's behavior by setting variables in the module
theme. After setting values, you must call
theme.reinitialize() to reflect the changes to other parts of
PyChart.
Notice that these variables are meaningful only before the first call to
area.T.draw() (see Section 6 ).
The below are the list of variables in the theme
module that you can
modify.
scale_factor
This variable defines the scaling factor.
The default value is 1.0, meaning that
one point in PyChart actually means one PostScript point.
Setting this value to
3.0, for example, makes PyChart draw everything three times larger.
See Also:
See Section
4 for how the length and the coordinate system
are defined in PyChart.
output_format
ps:
eps:
pdf:Adobe Page Description Format, or PDF.
pdf-uncompressed:PDF without compression.
This option should be used for a debugging purpose only.
png:PNG graphics. You need to have ghostscript (gs) installed to use
this option, because PyChart internally calls ghostscript to convert
PostScript to PNG.
svg:Scalable vector graphics.
x11:Interactive display on in X window. This format works on UNIX-based
systems, but not on Windows. You need to have ghostscript installed to
use this option.
When this variable is not set (or is set to None),
PyChart guesses the format from the file name
(theme.output_file; see below).
Failing that, PyChart will generate
an encapsulated PostScript file.
output_file
canvas.init(file ) (see Section 21 ).
use_color
The default value of this variable is False.
If the value is True,
PyChart colorizes some of the default objects.
If the value is False, PyChart uses gray scale for the color of
these objects.
In particular:
The standard color list (colors.standards) will include all
the colors listed in X's RGB file. So you can use something like
"color.slate_blue"1 15 for more about colors.
The standard fill style list (fill_style.standards) will
be colorized. Thus, if you create a bar plot without explicitly
specifying its fill style, you will see colored bars on the canvas.
See Section 16 for more about fill styles.
The standard line style list (line_style.standards) will be colorized.
See Section 14 for more about line styles.
default_font_family
This variable sets the default font family used when
drawing texts. The default is Helvetica.
See Section 17.1 .
default_font_size
This variable sets the font size used when
drawing texts. The default is 9 points.
See Section 17.1 .
default_halign
Sets the default horizontal alignment of texts (Default value: /h).
See Section 17.1 .
default_valign
Sets the default vertical alignment of texts (Default value: /v).
See Section 17.1 .
default_angle
Default text-drawing angle (Default value: 0).
See Section 17.1 .
default_line_height
Defines the separation between two text lines.
See Section 17.1 .
default_line_width
4 ). (Default value: 0.4)
See Section 14 .
debug_level
This variable controls the verbosity of messages from PyChart. The
default value is 1, meaning that PyChart only displays error
messages. The larger the value, the more verbose PyChart becomes.
bounding_box
This variable, if set, manually sets the bounding box of the
chart(s) produced by PyChart. It is a four-tuple of numbers, i.e.,
(xmin, ymin, xmax, ymax ).
PyChart usually calculates
the bounding box of a chart
automatically. Thus, you set this variable only
when you want to override the
calculation by PyChart, or PyChart screws the calculation. The latter
situation happens especially when you use really thick lines for
drawing. See also delta_bounding_box, described next.
delta_bounding_box
This variable, if set, adjusts the size of the bounding box of
the chart(s).
It is a four-tuple of numbers (xmin , ymin , xmax , ymax ). Each of the number is added to the bounding box computed by
PyChart.
If both bounding_box and delta_bounding_box are
set, then delta_bounding_box is ignored.
After changing any of the variables described so far, you must
call the reinitialize function to reflect the change to
the rest of PyChart:
This procedure must be called after setting variables in
the theme module. This procedure propagates the new values of
the theme variables to other modules that depend on their values.
Footnotes
...color.slate_blue" 1 In fact, you can use these color names
in gray-scale mode as well. They will appear in some gray color though.
Documentation released on July 2, 2005.
PyChart-1.39/doc/pychart/drawing-canvas.html 0000644 0001750 0001750 00000022605 10352146643 022476 0 ustar santiago santiago 0000000 0000000
21.3 Drawing other objects on canvas
The objects of canvas.T class and its subclasses provides
several methods that can be invoked manually to draw variety of things
if you desire so. These methods take Postscript points
as the unit of X and Y
coordinates, as described in Section 4 .
(These methods obey the scaling-factor specifications).
line linestyle, x1, y1, x2, y2 )
# draw a line segment from (10,20) to (100, 200)
can.line(line_style. blackdash1, 10, 20, 100, 200)
polygon linestyle, fillstyle, [(x1,y1), ..., (xn, yn)], shadow = None )
Draw a polygon points , with linestyle
( see Section 14 ), and fill with
fillstyle
(see Section 16 ). Parameter points
is a list of
coordinates, e.g., ((10,10), (15,5), (20,8)).
Value of linestyle can be None, in which case
no line is drawn on the perimeter. Value of fillstyle can also be
None, in which the internal of the polygon are left undrawn.
Parameter shadow is either None or tuple (xdelta, ydelta, shadowstyle ). If non-None, a shadow of shadowstyle (see Section 16 ) is drawn beneath the polygon at the offset (xdelta, ydelta ).
rectangle linestyle, fillstyle, x1, y1, x2, y2, shadow=None )
Parameter shadow is either None or tuple (xdelta, ydelta, shadowstyle ). If non-None, a shadow of shadowstyle ( see Section 16 ) is drawn beneath the polygon at the offset (xdelta, ydelta ).
ellipsis linestyle, fillstyle, x, y, radius, y_elongation=1, start=0, end=360, shadow=None )
The start and end angles are specified in degrees; i.e., between 0 and
360.
Parameter shadow is either None or tuple (xdelta, ydelta, shadowstyle ). If non-None, a shadow of shadowstyle ( see Section 16 ) is drawn beneath the polygon at the offset (xdelta, ydelta ).
round_rectangle linestyle, fillstyle, x1, y2, x2, y2, radius, shadow=None )
radius specifies the radius of each corner.
Parameter shadow is either None or tuple (xdelta, ydelta, shadowstyle ). If non-None, a shadow of shadowstyle ( see Section 16 ) is drawn beneath the polygon at the offset (xdelta, ydelta ).
curve linestyle, [(x1,y2), ..., (xn, yn)] )
Draw a Bezier curve.
Draw a text on the canvas at location (x, y ).
Parameter text supports font manipulation, as
described in See Section 17 .
This procedure outputs an arbitrary string to the output file.
Documentation released on July 2, 2005.
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9 Line and scatter plots
class line_plot.T
This class raws a line plot. By specifying None to its line style,
you can also draw a scatter plot.
Sample line plot
Below is the source code that produces the above chart.
../demos/linetest3.py
from pychart import *
theme. get_options()
data = chart_data. read_csv("lines.csv")
xaxis=axis. X(label="X", tic_interval=10)
yaxis=axis. Y(label="Y", tic_interval=10)
ar = area.T (x_range=(0,100), y_range=(0,100), x_axis=xaxis, y_axis=yaxis)
eb = error_bar. error_bar2(tic_len=5, hline_style=line_style. gray50)
ar.add_plot(line_plot.T (label="foo", data=data, error_bar=eb, y_error_minus_col=3),
line_plot.T (label="bar", data=data, ycol=2, error_bar=eb, y_error_minus_col=3))
ar.draw()
tb = text_box.T (loc=(40, 130), text="This is\nimportant!", line_style=None)
tb.add_arrow((ar.x_pos(data[6][0]), ar.y_pos(data[6][1])), "cb")
tb.draw()
ar = area.T (loc=(200, 0), x_range=(0,100), y_range=(0,100),
x_axis=xaxis, y_axis=yaxis, legend=legend. T())
ar.add_plot(line_plot.T (label="foo", data=data, data_label_format="/8{}%d"),
line_plot.T (label="bar", data=data, ycol=2))
ar.draw()
Sample scatter plot
Below is the source code that produces the above chart.
../demos/scattertest.py
from pychart import *
import random
random.seed(0)
def randomdata():
data = []
for i in range(0, 30):
data.append((random.random() * 1000, random.random() * 1000))
return data
theme. get_options()
chart_object.set_defaults(line_plot.T , line_style=None)
tick1 = tick_mark. Circle(size=2)
tick2 = tick_mark. Circle(size=2, fill_style=fill_style. black)
xaxis = axis. X(label="foo", format="/a-60{}%d")
yaxis = axis. Y(label="bar")
ar = area.T (x_axis=xaxis, y_axis=yaxis,
x_grid_interval=100, x_grid_style=line_style. gray70_dash3,
legend = legend. T(loc=(350, 50)), loc = (0, 0))
ar.add_plot(line_plot.T (label="plot1", data=randomdata(), tick_mark=tick1))
ar.add_plot(line_plot.T (label="plot2", data=randomdata(), tick_mark=tick2))
ar.draw()
xaxis = axis. X(label="foo", format="/a-30{}%d")
yaxis = axis. Y(label="bar")
ar = area.T (x_axis=xaxis, y_axis=yaxis,
x_coord=log_coord.T (), y_coord=log_coord.T (), loc = (200, 0),
legend = None)
ar.add_plot(line_plot.T (label="plot1", data=randomdata(), tick_mark=tick1))
ar.add_plot(line_plot.T (label="plot2", data=randomdata(), tick_mark=tick2))
ar.draw()
data
Type: any
Default: None.
Specifies the data points. See Section 5
data_label_format
Type: printf format string
Default: None.
The format string for the label printed
beside a sample point.
It can be a `printf' style format string, or
a two-parameter function that takes the (x, y)
values and returns a string. The appearance of the string produced here can be
controlled using escape sequences. See Section 17
data_label_offset
Type: (x,y) or None
Default: (0, 5).
The location of data labels relative to the sample point. Meaningful only when data_label_format != None.
error_bar
Type: error_bar.T
( see Section 9.2 )
Default: None.
The style of the error bar. See Section 9.2
label
Type: str
Default: "???".
The label to be displayed in the legend. See Section 6.3 , See Section 17
line_style
Type: line_style.T
(see Section 14 )
Default: By default, a style is picked from standard styles round-robin. See Section 14 .
The style of the line.
tick_mark
Type: tick_mark.T
( see Section 9.1 )
Default: None.
Tick marks to be displayed at each sample point. See Section 9.1
xcol
Type: int
Default: 0.
The column, within attribute "data", from which the X values of sample points are extracted. See Section 5
y_error_minus_col
Type: int
Default: 2.
The column (within "data") from which the depth of the errorbar is extracted. Meaningful only when error_bar != None. See Section 9.2
y_error_plus_col
Type: int
Default: -1.
The column (within "data") from which the height of the errorbar is extracted. Meaningful only when error_bar != None. See Section 9.2
y_qerror_minus_col
Type: int
Default: -1.
See Section 9.2
y_qerror_plus_col
Type: int
Default: -1.
See Section 9.2
ycol
Type: int
Default: 1.
The column, within attribute "data", from which the Y values of sample points are extracted. See Section 5
Documentation released on July 2, 2005.
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6.2 Axes
Module axis defines the look of an axis as well as grid
lines. Two classes, axis.X and axis.Y, are provided by
this module.
class axis.X
This class is draws an X (horizontal) axis.
draw_tics_above
Type: int
Default: 0.
If true, tick lines and labels are drawn above the axis line.
format
Type: printf format string
Default: "%s".
The format string for tick labels.
It can be a `printf' style format string, or
a single-parameter function that takes an X (or Y) value
and returns a string. The appearance of the string produced here can be
controlled using escape sequences. See Section 17
label
Type: str
Default: "axis label".
The descriptive string displayed below (or to the left of) the axis. See Section 17 .
label_offset
Type: (x,y) or None
Default: (None, None).
The location for drawing the axis label,
relative to the middle point of the axis.
If the value is None, the label is displayed
below (or to the left of) of axis at the middle.
line_style
Type: line_style.T
( see Section 14 )
Default: line_style.black.
Specifies the style of axis and tick lines.
minor_tic_interval
Type: number or function
Default: None.
When the value is a number, it specifies the interval at which minor tick marks are drawn. Otherwise, the value must be a function that takes two arguments, min and max X (or Y) values. It must return a list of numbers that specify the X or Y points at which minor tick marks are drawn.
minor_tic_len
Type: length in points ( See Section 4 )
Default: 3.
The length of minor tick marks. The value can be negative, in which case the tick lines are drawn right of (or above) the axis.
offset
Type: length in points ( See Section 4 )
Default: 0.
The location of the axis.
The value of 0 draws the
axis at the left (for the Y axis) or bottom (for the X axis)
edge of the drawing area.
tic_interval
Type: number or function
Default: None.
When the value is a number, it specifies the interval at which tick marks are drawn. Otherwise, the value must be a function that takes two arguments, min and max X (or Y) values. It must return a list of numbers that specify the X or Y points at which tick marks are drawn.
tic_label_offset
Type: (x,y) or None
Default: (0, 0).
The location for drawing tick labels,
relative to the tip of the tick line.
tic_len
Type: length in points ( See Section 4 )
Default: 6.
The length of tick lines. The value can be negative, in which case the tick lines are drawn right of (or above) the axis.
class axis.Y
This class is draws a Y (vertical) axis.
draw_tics_right
Type: int
Default: 0.
If true, tick lines and labels are drawn right of the axis line.
format
Type: printf format string
Default: "%s".
The format string for tick labels.
It can be a `printf' style format string, or
a single-parameter function that takes an X (or Y) value
and returns a string. The appearance of the string produced here can be
controlled using escape sequences. See Section 17
label
Type: str
Default: "axis label".
The descriptive string displayed below (or to the left of) the axis. See Section 17 .
label_offset
Type: (x,y) or None
Default: (None, None).
The location for drawing the axis label,
relative to the middle point of the axis.
If the value is None, the label is displayed
below (or to the left of) of axis at the middle.
line_style
Type: line_style.T
( see Section 14 )
Default: line_style.black.
Specifies the style of axis and tick lines.
minor_tic_interval
Type: number or function
Default: None.
When the value is a number, it specifies the interval at which minor tick marks are drawn. Otherwise, the value must be a function that takes two arguments, min and max X (or Y) values. It must return a list of numbers that specify the X or Y points at which minor tick marks are drawn.
minor_tic_len
Type: length in points ( See Section 4 )
Default: 3.
The length of minor tick marks. The value can be negative, in which case the tick lines are drawn right of (or above) the axis.
offset
Type: length in points ( See Section 4 )
Default: 0.
The location of the axis.
The value of 0 draws the
axis at the left (for the Y axis) or bottom (for the X axis)
edge of the drawing area.
tic_interval
Type: number or function
Default: None.
When the value is a number, it specifies the interval at which tick marks are drawn. Otherwise, the value must be a function that takes two arguments, min and max X (or Y) values. It must return a list of numbers that specify the X or Y points at which tick marks are drawn.
tic_label_offset
Type: (x,y) or None
Default: (0, 0).
The location for drawing tick labels,
relative to the tip of the tick line.
tic_len
Type: length in points ( See Section 4 )
Default: 6.
The length of tick lines. The value can be negative, in which case the tick lines are drawn right of (or above) the axis.
Documentation released on July 2, 2005.
PyChart-1.39/doc/Makefile 0000644 0001750 0001750 00000001440 10354321416 016657 0 ustar santiago santiago 0000000 0000000 PYCHART_DIR=..
PYTHON_DOC_DIR=$(HOME)/Python-2.4.2/Doc
all: pychart examples
pychart: pychart.tex
$(PYTHON_DOC_DIR)/tools/mkhowto --html pychart.tex
$(MAKE) markup
pychart.pdf: pychart.tex
$(PYTHON_DOC_DIR)/tools/mkhowto --pdf pychart.tex
pychart.tex: template.tex doc.py
make -C$(PYCHART_DIR)/demos colorpng
PYTHONPATH=$(PYCHART_DIR):$(PYCHART_DIR)/demos python doc.py --pychart-dir=$(PYCHART_DIR) template.tex >$@
markup:
for f in pychart/*.html; do echo $$f; python markuphtml.py <$$f >foo.html; mv foo.html $$f; done
clean:
rm -f *.pyc *~ *.html *.info tmp.texi *.png *.eps pychart.tex
rm -rf examples html demos
demo:
PYTHONPATH=..:../demos python demodoc.py
examples: examples.py $(wildcard ../demos/*.py)
python examples.py
index.html: index.html $(GIFFILES)
gtml index.gtml
PyChart-1.39/doc/README 0000644 0001750 0001750 00000000362 10354321345 016102 0 ustar santiago santiago 0000000 0000000 Compiling python.tex requires following packages:
- The Python source package. Download it from www.python.org and set
its Docs directory in PYTHON_DOC_DIR.
- LaTeX (TeX). It's most likely to be knows as 'tetex' on Linux.
- Linux2html.
PyChart-1.39/doc/examples.py 0000644 0001750 0001750 00000003267 10354321374 017423 0 ustar santiago santiago 0000000 0000000 import sys
sys.path.append("..")
sys.path.append("../demos")
import pychart.doc_support
from pychart import *
import list_sources
import re
import dircache
import os
import posixpath
target_dir="examples"
cwd = os.getcwd()
python_path = "python"
if sys.platform == "win32":
python_path = "c:/Python22/python"
try:
os.mkdir(target_dir)
except:
pass
index_fp = open(target_dir + "/index.html", "w")
index_fp.write("pychart Samples \n\n")
for file in list_sources.list_sources("../demos"):
mo = re.match("^(.*).py$", file)
assert mo
basename = mo.group(1)
pngFile = "%s/%s/%s.png" % (cwd, target_dir, basename)
smallPngFile = "%s/%s/%s-small.png" % (cwd, target_dir, basename)
src_file = "%s/%s/%s" % (cwd, target_dir, file)
os.environ["PYTHONPATH"] = "..:" + os.environ.get("PYTHONPATH", "")
if not os.access(pngFile, os.R_OK):
print "Creating ", pngFile
os.environ["PYCHART_OPTIONS"] = "color=yes scale=3 output=%s" % pngFile
os.chdir("../demos")
os.system(python_path + " " + file)
os.chdir(cwd)
if not os.access(smallPngFile, os.R_OK):
print "Creating ", smallPngFile
os.environ["PYCHART_OPTIONS"] = "color=yes scale=0.6 output=%s" % smallPngFile
os.chdir("../demos")
os.system(python_path + " " + file)
os.chdir(cwd)
if not os.access(src_file, os.R_OK):
os.system("cp ../demos/%s %s" % (file, src_file))
index_fp.write("
Source code ")
index_fp.write("\n")
index_fp.close()
PyChart-1.39/doc/doc.py 0000644 0001750 0001750 00000013661 10354321416 016346 0 ustar santiago santiago 0000000 0000000 from pychart import *
import pychart.doc_support
import optik
import string
import sys
import re
parser = optik.OptionParser()
parser.add_option("-S", "--ps", action="store_true", default=None)
parser.add_option("-D", "--pdf", action="store_true", default=None)
parser.add_option("-X", "--pychart-dir", action="store", default=None)
opt, argv = parser.parse_args(sys.argv[1:])
ftype = "png"
pychart_dir = ".."
if opt.ps:
ftype="pdf"
elif opt.pdf:
ftype="eps"
if opt.pychart_dir:
pychart_dir = opt.pychart_dir
def resubfunc(mo):
typename = re.sub("_", "-", mo.group(1))
return "\\xref{module-%s}" % typename
def xxx(mo):
xx = "var"
return "\\" + xx + "{" + mo.group(1) + "}"
def format_doc_string(str):
str = re.sub("<<([^>]+)>>", resubfunc, str)
str = re.sub("<([^>]+)>", xxx, str)
str = re.sub("\|([^|]+)\|", "\\code{\\1}", str)
str = str.replace("#", "\\#")
str = str.replace("%", "\\%")
str = str.replace("@pxref", "\\pxref")
str = str.replace("@xref", "\\xref")
str = str.replace("@code", "\\code")
str = str.replace("@samp", "\\code")
str = str.replace("@var", "\\var")
str = str.replace("@example", "\\begin{verbatim}")
str = str.replace("@end example", "\\end{verbatim}")
str = re.sub("@cindex ([^\n]+)", "\\index{\\1}", str)
return str
def outputClassAttrs(moduleName, className):
x = pychart.doc_support.modules[moduleName]
v = x[className]
keys = v.keys.keys()
keys.sort()
for key in keys:
if key[0] == '_':
continue
val = v.keys[key]
type_str = pychart.doc_support.stringify_type(val[0])
print "\\begin{memberdesc}{%s}\n\\textbf{Type:} %s" % (key, type_str)
if False:
print "\\label{%s.%s.%s}" % (moduleName.replace("_","-"),
className.replace("_","-"),
key.replace("_", "-"))
mm = re.match("(.*)\\.T$", str(type_str))
if mm:
print "(\\pxref{module-%s})" % re.sub("_", "-", mm.group(1))
if len(val) > 3:
print "\\textbf{Default:} %s." % format_doc_string(val[3]),
else:
print "\\textbf{Default:} %s." % format_doc_string(str(pychart.doc_support.stringify_value(val[1]))),
print ""
print ""
if len(val) > 2:
print format_doc_string(val[2])
print "\\end{memberdesc}"
#print "@end multitable";
def copy_file(src, dest):
sys.stderr.write("%s->%s\n" % (src, dest))
infp = open(src, "rb")
outfp = open(dest, "wb")
outfp.writelines(infp.readlines())
infp.close()
outfp.close()
nodeNames = []
nodeReplaces = []
demoDir = pychart_dir + "/demos/"
def scan_nodes(fp):
global nodeNames
for line in fp.readlines():
mo_node = re.match("^@node ([^,]*)", line)
if mo_node:
nodeNames.append(re.compile("\\b(" + mo_node.group(1) + ")\\b"))
def include_text_file(file):
fp = open(file, "r")
print "\\noindent\\bfcode{%s}\n\n" % file
print "\\begin{verbatim}"
line = fp.readline()
if line.startswith('#'):
# Skip the first comment block. It's usually a copyright statement.
while True:
line = fp.readline()
assert line
if not line.startswith('#'):
break
print line,
for line in fp.readlines():
line = string.expandtabs(line)
print line,
fp.close()
print "\\end{verbatim}"
def format_doc(str):
out = ""
empty_line_found = False
in_example = None
for line in string.split(str, "\n"):
if empty_line_found and len(line) > 0 and line[0] != ' ':
if not in_example:
out = out + "\\begin{verbatim}\n"
in_example = True
out = out + line + "\n"
else:
if line == "":
empty_line_found = True
if in_example:
out = out + line + "\n\\end{verbatim}\n"
else:
# Do some formatting.
line = format_doc_string(line)
out = out + line + "\n"
in_example = None
if in_example:
out = out + "\n\end{verbatim}\n"
return out
fp = open(argv[0], "r")
scan_nodes(fp)
fp.seek(0)
while True:
line = fp.readline()
if line == "": break
mo7 = re.match("@xximage\\{(.*),\\}", line)
line = line.replace("@chart{}", "PyChart")
line = line.replace("@shadow", "Parameter \\var{shadow} is either None or tuple (\\var{xdelta, ydelta, shadowstyle}). If non-None, a shadow of \\var{shadowstyle} (\\pxref{module-fill-style}) is drawn beneath the polygon at the offset (\\var{xdelta, ydelta}).")
mo = re.match("^%%([^.]+)\\.(.*)", line)
if mo:
outputClassAttrs(mo.group(1), mo.group(2))
continue
mo = re.match("^@samplechartandcode\{([^,]*),(.*)\}", line)
if mo:
basename = mo.group(1)
description = mo.group(2)
for ext in ["png", "eps", "pdf"]:
copy_file("%s%s-c.%s" % (demoDir, basename, ext),
"%s.%s" % (basename, ext))
print "\\includegraphics{%s}\n" % (basename)
print description, "\n"
print "Below is the source code that produces the above chart."
include_text_file(demoDir + basename + ".py")
continue
mo = re.match("^@samplecode\{(.*)\}", line)
if mo:
basename = mo.group(1)
include_text_file(demoDir + basename + ".py")
continue
mo = re.match("^@samplechart\{(.*)\}", line)
if mo:
basename = mo.group(1)
for ext in ["png", "eps", "pdf"]:
copy_file("%s%s-c.%s" % (demoDir, basename, ext),
"%s.%s" % (basename, ext))
print "\\includegraphics{%s}\n" % (basename)
continue
mo = re.match("^@pydescribe\{(.*)\}", line)
if mo:
obj_name = mo.group(1)
obj = eval(obj_name)
print format_doc(str(obj.__doc__)), "\n"
continue
print line,
PyChart-1.39/doc/template.tex 0000644 0001750 0001750 00000143557 10354321416 017574 0 ustar santiago santiago 0000000 0000000 \documentclass{howto}
\usepackage{ltxmarkup}
\usepackage{graphicx}
\title{PyChart}
\author{Yasushi Saito}
\date{July 2, 2005}
\authoraddress{
Email: \email{yasushi@cs.washington.edu}
}
\makeindex
\newcommand{\pychart}{PyChart}
\newcommand{\pyversion}{1.34}
\newcommand{\secref}[1]{Section~\ref{#1}}
\newcommand{\xref}[1]{See Section~\ref{#1}}
\newcommand{\pxref}[1]{see Section~\ref{#1}}
\begin{document}
\maketitle
\section{Introduction}\label{introduction}
This document describes \pychart{} Version \pyversion{}, a Python library
designed for drawing professional-quality charts. It produces line
plots, bar plots, range-fill plots, pie charts, and wind-rose charts
in PostScript, PDF,
PNG, or SVG. \pychart{} is distributed under the General Public License (GPL).
\begin{seealso*}
\seeurl{http://www.gnu.org/copyleft/gpl.html}{Follow this link for more information about GPL.}
\end{seealso*}
The following examples illustrate uses of \pychart{}.
\subsection{Line plot}
\index{line plot}
@samplechart{linetest}
This example draws a simple line plot. Below is the source code needed to
produce this chart.
@samplecode{linetest}
To produce a PostScript chart, just feed the file to Python.
\begin{verbatim}
% python linetest.py >linetest.eps
\end{verbatim}
\index{redirecting output}
Or, to produce a PDF chart, run python like below
\begin{verbatim}
% python linetest.py --format=pdf >linetest.pdf
\end{verbatim}
\index{PDF}
\index{\texttt{--format} option}
To handle command-line options such as \code{--format=pdf},
you need to put \code{theme.get_options()} in the beginning of your file.
\pychart{} also supports PNG, SVG, and interactive X11 display.
\begin{seealso}
\secref{options} for more information about output control.
\end{seealso}
Every \pychart{} program starts with line "\code{from pychart import *}"
to import
classes and objects provided by \pychart{}. Each chart is represented by
an \code{area} object (\pxref{module-area}),
which defines the size , the coordinate system
(linear, log, etc; \pxref{module-coord}), and plots to be drawn. The final line
of a program should end with \code{area.draw()}, which draws all the
components of the chart to the standard output.
\subsection{Bar plot}
@samplechart{bartestv}
The below program generates this chart.
@samplecode{bartestv}
\section{Anatomy of a chart}\label{anatomy}
A chart comprises a set of \dfn{components}. Each component belongs to a
certain class, from which an instance tailored for a particular chart is
generated. The below picture shows example of a chart and its components.
@samplechart{failureannot}
The standard set of component classes follow:
\begin{description}
\item[\code{area.T}:]
This class defines the size, the location, and the coordinate
system (linear, logarithmic, etc) of a chart (\pxref{module-area}). It also
contains axes, plots, and legends, as described below. At least one
Area must be created in any chart.
\item[\code{axis.X}:]
\item[\code{axis.Y}:]
The axis class defines the look of an axis. You can specify, for
example, the interval and the style of tick marks and grid lines
(\pxref{module-axis}). \pychart{} provides two types of axes, \code{axis.X} and
\code{axis.Y}, corresponding to horizontal and vertical axes.
\item[\code{bar_plot.T}:]
\item[\code{line_plot.T}:]
\item[\code{pie_plot.T}:]
\item[\code{range_plot.T}:]
\item[\code{interval_plot.T}:]
\item[\code{rose_plot.T}:]
These classes actually plot a chart. You can draw multiple plots in a
single chart, and most of the times you can even mix different types of
plots, e.g., line plots and bar plots.
\item[\code{legend.T}:]
The class draws an optional rectangular box that describes what each plot
means (\pxref{module-legend}).
\item[\code{text_box.T}:]
This class draws an optional rectangular box that contains arbitrary
text. It can also contain arrows (\pxref{module-text-box}).
\item[\code{canvas.T}:]
The \code{canvas} is a "virtual paper" that defines graph-drawing
primitives, such as lines, rectangles, and texts. One canvas corresponds
to one output file. Canvas is used by other components in the graph and
is usually not manipulated by users directly. It's handy, however, if
you want to draw a line/circle/text/etc, directly on the PostScript or
PDF file. \xref{module-canvas}.
\end{description}
\section{Attributes}\label{attribute}
\index{attribute}
The look of a component of a chart (\pxref{anatomy}) is defined by a
collection of \dfn{attributes}. For example, an X or Y axis
includes an integer \code{tic_len} attribute
that defines
the length of "tick" lines drawn perpendicular to the axis (\pxref{module-axis}). It also has
an integer \code{tic_interval} attribute that defines the separation
between tick lines. \xref{module-axis} for the full list of Axis's attributes.
Attributes are usually specified by named arguments during component creation:
\begin{verbatim}
ax = axis.X(tic_len = 3, tic_interval = 50)
\end{verbatim}
\noindent
Attributes can also be changed after a component is created, but before
\code{area.T.draw()}, the main drawing procedure (\pxref{module-area}), is called.
The below example has the same effect as the above.
\begin{verbatim}
ax = axis.X()
ax.tic_len = 3
ax.tic_interval = 50
\end{verbatim}
\index{attribute!setting default values}
Each attribute has a default value that supposedly gives you a standard
look to the chart. You can change the default values through
\code{chart_object} module. For example, the below example has the same
effect as the above, except that all X axes created in the future will
have the new default values.
\declaremodule{extension}{chart-object}
\index{set_defaults}
\begin{verbatim}
chart_object.set_defaults(axis.X, tic_len=3, tic_interval=50)
ax = axis.X()
\end{verbatim}
\section{Unit of length and the coordinate System}\label{unit}
\index{unit of length}
\index{PostScript}
\index{points}
\index{coordinate system}
In \pychart{}, the X axis grows to the right, and the Y axis grows up
(the same as PostScript, but different from X and Windows).
The length is measured in ``PostScript points'', which coincides with \TeX{}
points. Usually, one point is equal to 1/72 inch. Several variables and
functions are provided to manipulate lengths.
Chart magnification can be changed by setting
variable \code{theme.scale_factor}.
One can convert a sample data value to a canval coordinate by
calling two methods, \code{x_pos} and \code{y_pos} in \code{area.T} object.
\index{scaling charts}
\index{magnifying charts}
\begin{seealso}
\xref{module-theme} for the \module{theme} module.
\xref{module-area} for the \module{area} mobule.
\end{seealso}
\section{Reading CSV files and transforming data}
\declaremodule{extension}{chart-data}
\index{data}
\index{samples}
The basic function of \pychart{} is to plot sample data in a variety of
ways. Sample data are simply a \emph{sequence} of \emph{sequences},
where the term "sequence" is a Python jargon for either a tuple
(comma-separated numbers or strings enclosed in parenthesis, e.g.,
\code{(5, 10, 15)}) or a list
(comma-separated numbers or strings enclosed in square brackets, e.g.,
\code{[5, 10, 15]}). Data
are given to plots through the "\code{data}" attribute of a plot object:
\begin{verbatim}
l = line_plot.T(data=[(10,20), (11,38), (12,29)], xcol=0, ycol=1)
\end{verbatim}
\noindent
In the above example, three sample points will be drawn along with line
segments that connect them: (10, 20) - (11, 38) - (12, 29).
Attribute \code{xcol} tells the locations of X values within data (the
first column of each sample in \code{data}), and \code{ycol} similarly
tell the locations of Y values (the last column of each sample in
\code{data}). A sample point can contain None, in which case
it is ignored.
\begin{verbatim}
data = [(10, 20, 21), (11, 38, 22), (13, None, 15), (12, 29, 30)]
l1 = line_plot.T(data=data, xcol=0, ycol=1)
l2 = line_plot.T(data=data, xcol=0, ycol=2)
\end{verbatim}
\noindent
The above example is equivalent to:
\begin{verbatim}
l1 = line_plot.T(data=[(10, 20), (11, 38), (12, 29)], xcol=0, ycol=1)
l2 = line_plot.T(data=[(10, 21), (11, 22), (13, 15), (12, 30)], xcol=0, ycol=1)
\end{verbatim}
Module \code{chart_data} provides several functions for generating,
reading, or transforming samples.
\index{conversion!CSV}
\index{CSV}
\index{comma-separated values (see CSV)}
\begin{funcdesc}{read_csv}{path, delim = ','}
\index{scanf}
\index{format!read_csv}
\index{comments!- in CSV files}
@pydescribe{chart_data.read_csv}
\indexii{file}{read}
\end{funcdesc}
\begin{funcdesc}{read_str}{delim, lines}
@pydescribe{chart_data.read_str}
\index{format!read_str}
\indexii{string}{read}
\end{funcdesc}
\begin{funcdesc}{write_csv}{path, data}
@pydescribe{chart_data.write_csv}
\indexii{file}{write}
\end{funcdesc}
\begin{funcdesc}{func}{f, from, to, step}
@pydescribe{chart_data.func}
\end{funcdesc}
\begin{funcdesc}{filter}{f, data}
@pydescribe{chart_data.filter}
\end{funcdesc}
\begin{funcdesc}{extract_rows}{data, rows...}
@pydescribe{chart_data.extract_rows}
\end{funcdesc}
\begin{funcdesc}{extract_columns}{data, cols...}
@pydescribe{chart_data.extract_columns}
\end{funcdesc}
\begin{funcdesc}{moving_average}{data, xcol, ycol, width}
\index{average (computing -)}
\index{mean (computing -)}
@pydescribe{chart_data.moving_average}
\end{funcdesc}
\begin{funcdesc}{median}{data, freq_col=1}
@pydescribe{chart_data.median}
\end{funcdesc}
\begin{funcdesc}{mean_samples}{data, xcol, ycollist}
@pydescribe{chart_data.mean_samples}
\end{funcdesc}
\begin{funcdesc}{stddev_samples}{data, xcol, ycollist, delta}
\index{standard deviation (computing -)}
\index{variance (computing -)}
@pydescribe{chart_data.stddev_samples}
\end{funcdesc}
\begin{funcdesc}{transform}{func, data}
@pydescribe{chart_data.transform}
\end{funcdesc}
One of the frequent uses of \code{transform} is to convert a date string
to number and back to some other string for display. The next example
does this: it takes the input for date in the format of "10/5/1983", and
displays the graph in the format of "Oct 5, 1983".
\indexii{conversion}{date}
\index{time (see date)}
@samplecode{date}
@samplechart{date}
\section{Area}
\declaremodule{extension}{area}
\begin{classdesc*}{area.T}
Class \code{area.T} defines the location and size of a chart. It also
defines the coordinate system (linear, log, or enumeration) of the X and
Y axes.
\indexii{scale}{logarithmic}
\indexii{scale}{linear}
\index{category axis}
The X (or Y) coordinate system is defined by attribute
\code{x_coord} (or \code{y_coord}), which takes an object
of type \code{coord.T}. Class \code{coord.T} defines how an X (or a Y)
value is mapped to a display (canvas) location. \pychart{} provides
three standard coordinate systems: \code{linear_coord.T} (for linear
mapping; this is the default), \code{log_coord.T} (for logarithmic
mapping), and \code{category_coord.T} (enumeration of values). Most
charts will do ok by instantiating one of these pre-defined coordinate
classes, but you can also define your own wacky coordinate system.
\begin{seealso}
\xref{module-coord} for more about the coordinate system.
\end{seealso}
For log and linear coordinate systems, the minimum and maximum
displayable values in the area are computed automatically from the plots
unless they are defined explicitly via attribute \code{x_range}.
In the next example, the X axis is drawn with a
logarithmic scale. The minimum value
will be 10, and the maximum value will be computed from the values given
to plots.
\begin{verbatim}
ar = area.T(x_coord = log_coord.T(), x_range = (10, None), ...)
\end{verbatim}
In the below example of a category coordinate system,
the X axis will list three strings,
``apple'', ``orange'', and ``blueberry''.
\begin{verbatim}
samples = [("apple", 10), ("orange", 30), ("blueberry", 20)],
ar = area.T(x_coord = category_coord(samples, 0))
ar.add_plot(bar_plot.T(data = samples))
\end{verbatim}
\end{classdesc*}
We now list the attributes understood by an \code{area.T} object.
%%area.T
An object of \code{area.T} also provides several methods:
\begin{methoddesc}{add_plot}{plot, ...}
Add plots to the area. Each \var{plot} must be a plot object.
\xref{module-line-plot}, \secref{module-bar-plot},
\secref{module-pie-plot}, \secref{module-range-plot}.
\end{methoddesc}
\begin{methoddesc}{draw}{canvas = None}
Draw plots, axes, and the legend. This procedure must be called at the
end of every \pychart{} application.
Parameter \var{canvas} is an optional parameter that specifies the output.
If omitted, the default canvas is used.
\begin{seealso}
Section~\ref{module-canvas} for more about canvas.
\end{seealso}
\end{methoddesc}
\begin{methoddesc}{x_pos}{xval}
Converts \var{xval} to a coordinate on the canvas (\pxref{module-canvas}).
\xref{unit}.
\end{methoddesc}
\index{PostScript}
\begin{methoddesc}{y_pos}{yval}
Converts \var{yval} to a coordinate on the canvas (\pxref{module-canvas}).
\xref{unit}.
\end{methoddesc}
\begin{verbatim}
ar = area.T(loc=(50, 50), size=(100, 100),
xrange=(0,200), yrange=(0, 1000))
px = ar.x_pos(50)
py = ar.y_pos(100)
\end{verbatim}
\noindent
In the above example, the chart is drawn in the area defined by
rectangle (50, 50) - (150, 150). The point (\code{px, py}) will
be at (75, 60), which is the screen location at which the point
(50, 100) would be drawn (i.e., 50 + 100 * 50/200 = 75,
50 + 100 * 100 / 1000 = 60).
\index{coordinate system}
\index{X axis}
\index{Y axis}
\index{axis (extension module)}
\subsection{Specifying the coordinate system}
\declaremodule{extension}{coord}
\index{coordinate system}
\indexii{scale}{linear}
\indexii{scale}{logarithmic}
\index{coordinate system!linear}
\index{coordinate system!logarithmic}
Attributes \code{x_coord} and \code{y_coord} specify the coordinate
systems for the area's X and Y axes. The values of these attributes
must of type \code{coord.T}. \pychart{} provides three popular subclasses
of \code{coord}. Both \code{x_coord} and \code{y_coord} defaults to
\code{linear_coord.T()}.
\begin{classdesc*}{linear_coord.T}
This class creates a linear coordinate system.
\begin{verbatim}
ar = area.T(x_coord = linear_coord.T(), y_coord = linear_coord.T(), ...)
\end{verbatim}
\end{classdesc*}
\begin{classdesc*}{log_coord.T}
This class displays a logarithmic coordinate system.
\end{classdesc*}
\begin{classdesc}{category_coord.T}{data, col}
This class defines a ``categorical'' coordinate system, in which the
axis only takes discrete values. This class takes two constructors:
\var{data} (\pxref{module-chart-data}) and column \var{col}
from which the axis values are
extracted from the data. See the following example:
@samplecode{categbar}
The output will look like the below:
@samplechart{categbar}
\end{classdesc}
\index{zap marks}
All the classes described so far are derived from the \code{coord.T} class:
\begin{classdesc}{coord.T}{}
This is an abstract base class that defines methods for
calculating the mapping between sample values and coordinates.
Every \code{coord.T} object must implement the following three methods:
\end{classdesc}
\begin{methoddesc}{get_data_range}{dmin, dmax, interval}
This method should compute the minimum and maximum values that are to be
displayed on the canvas. \var{dmin}, \var{dmax}
are the minimum and maximum values found
in the sample data given to the plots. \var{interval} is the value of
the area's \code{x_grid_interval} (or \code{y_grid_interval})
attribute (\pxref{module-area}),
or \code{None} if the
attribute is omitted by the user. This method should return tuple
(MIN, MAX, INTERVAL), where MIN, MAX are the minimum and maximum values
to be displayed, and INTERVAL is the interval with which label and tick lines
are drawn.
\end{methoddesc}
\begin{methoddesc}{get_canvas_pos}{size, val, range}
This method converts a data value (\var{val}) to canvas location.
Parameter \var{size} is the size of the
axis, either X or Y, and \var{range} is the minimum and maximum sample
values obtained by calling \code{self.get_data_range}.
\end{methoddesc}
\begin{methoddesc}{get_tics}{range, interval}
This method should return the list of values (not canvas locations) at which
labels and ``tick'' lines are drawn. Parameters \var{range} and
\var{interval} are the
values returned by get_data_range.
\end{methoddesc}
\index{coordinate system!- with a gap}
You can create fancier coordinate systems by subtyping \code{coord.T}.
The below example shows how you can create a chart with ``zap'' marks.
@samplechart{zaptest}
@samplecode{zaptest}
\subsection{Axes}
\declaremodule{extension}{axis}
\index{X axis}
\index{Y axis}
Module \code{axis} defines the look of an axis as well as grid
lines. Two classes, \code{axis.X} and \code{axis.Y}, are provided by
this module.
\begin{classdesc*}{axis.X}
This class is draws an X (horizontal) axis.
%%axis.X
\end{classdesc*}
\begin{classdesc*}{axis.Y}
This class is draws a Y (vertical) axis.
%%axis.Y
\end{classdesc*}
\subsection{Legends}
\declaremodule{extension}{legend}
\begin{classdesc*}{legend.T}
A legend is a subcomponent of area that draws a rectangular box with
the description of each plots.
\end{classdesc*}
This class supports the following attributes:
%%legend.T
\section{Bar plots}
\declaremodule{extension}{bar-plot}
\begin{classdesc*}{bar_plot.T}
This class draws a bar plot.
@samplechartandcode{bartest,Sample bar plot}
@samplechartandcode{bartest2, Bar plot with error bars}
\end{classdesc*}
The list the attributes understood by an \code{bar_plot.T} object follow:
%%bar_plot.T
\section{Interval bar plots}
\declaremodule{extension}{interval-bar-plot}
\begin{classdesc*}{interval_bar_plot.T}
An interval bar plot is a special kind of bar plot that draws
an alternating sequence of bars.
@samplechartandcode{intvlbartestv, Sample interval bar chart}
\end{classdesc*}
The list the attributes understood by an \code{interval_bar_plot.T} object:
%%interval_bar_plot.T
\section{Line and scatter plots}
\declaremodule{extension}{line-plot}
\index{scatter plot}
\begin{classdesc*}{line_plot.T}
This class raws a line plot. By specifying None to its line style,
you can also draw a scatter plot.
@samplechartandcode{linetest3, Sample line plot}
@samplechartandcode{scattertest, Sample scatter plot}
\index{scale!logarithmic (example)}
\index{coordinate system!logarithmic (example)}
\end{classdesc*}
%%line_plot.T
\subsection{Tick marks}
\declaremodule{extension}{tick-mark}
\begin{classdesc*}{tick_mark.T}
Tick marks are used in conjunction with line plots (\pxref{module-line-plot})
to show where sample points are.
Class \code{tick_mark.T} is an abstract base class, from which
several built-in tick mark classes are derived. They are described later.
\end{classdesc*}
Class \code{tick_mark.T} supports the following set of attributes.
%%tick_mark.T
Several types of tick marks are offered by \pychart{} as subclasses of
\code{tick_mark.T}. They include: tick_mark.Circle,
tick_mark.Square, tick_mark.Triangle, tick_mark.DownTriangle,
tick_mark.X, tick_mark.Plus, tick_mark.Diamond, tick_mark.Star,
tick_mark.Null. Specific instance of these classes are also defined for
your convenience. Below is the list of such standard tick marks. They
are referred to by as "\code{tick_mark.}\var{name}", where \var{name} is
the labels below them.
@samplechart{tickmarks}
\subsection{Error bars}
\declaremodule{extension}{error-bar}
\begin{classdesc*}{error_bar.T}
Error bars are used in conjunction with line, scatter, or bar plots to
show the confidence interval of each sample value. \xref{module-bar-plot}.
Class \code{error_bar.T} is an abstract base class. Actual drawing is
done by its subclasses, described next.
\end{classdesc*}
@samplechart{errorbars}
\begin{classdesc*}{error_bar.error_bar1}
This class supports the following attributes:
%%error_bar.error_bar1
\end{classdesc*}
\begin{classdesc*}{error_bar.error_bar2}
This class supports the following attributes:
%%error_bar.error_bar2
\end{classdesc*}
\begin{classdesc*}{error_bar.error_bar3}
This class supports the following attributes:
%%error_bar.error_bar3
\end{classdesc*}
\begin{classdesc*}{error_bar.error_bar4}
This class supports the following attributes:
%%error_bar.error_bar4
\end{classdesc*}
\begin{classdesc*}{error_bar.error_bar5}
This class supports the following attributes:
%%error_bar.error_bar5
\end{classdesc*}
\begin{classdesc*}{error_bar.error_bar6}
This class supports the following attributes:
%%error_bar.error_bar6
\end{classdesc*}
\section{Range plots}
\declaremodule{extension}{range-plot}
\begin{classdesc*}{range_plot.T}
A range plot is similar to line plots (\pxref{module-line-plot}), but
it fills regions, instead of drawing line.
@samplechartandcode{rangetest,Sample range plot}
\end{classdesc*}
This class supports the following attributes:
%%range_plot.T
\section{Pie plots}
\declaremodule{extension}{pie-plot}
\begin{classdesc*}{pie_plot.T}
Pie plots.
@samplechartandcode{pietest, Sample pie chart}
\end{classdesc*}
This class supports the following attributes:
%%pie_plot.T
\section{Rose plots}
\declaremodule{extension}{rose-plot}
\index{wind rose plot}
\begin{classdesc*}{rose_plot.T}
Rose plot class is contributed by Kilian Hagemann. It's still experimental.
@samplechartandcode{roseplottest, Sample rose plot}
\end{classdesc*}
This class supports the following attributes:
%%rose_plot.T
\section{PyChart options}\label{options}
\index{command-line options}
\index{redirecting output}
The behavior of \pychart{} can be changed in three ways,
by
setting variables in module \code{theme}, via command-line options,
and via environment variable \code{PYCHART_OPTIONS}.
\subsection{\module{theme} -- Defining the default behaviour of PyChart}
\declaremodule{extension}{theme}
You can change \pychart{}'s behavior by setting variables in the module
\code{theme}. After setting values, you \emph{must} call
\code{theme.reinitialize()} to reflect the changes to other parts of
\pychart{}.
Notice that these variables are meaningful only before the first call to
area.T.draw() (\pxref{module-area}).
\begin{verbatim}
theme.scale_factor = 3
theme.reinitialize()
\end{verbatim}
The below are the list of variables in the \module{theme}
module that you can
modify.
\index{magnifying charts}
\begin{datadesc}{scale_factor}
This variable defines the scaling factor.
The default value is 1.0, meaning that
one point in \pychart{} actually means one PostScript point.
Setting this value to
3.0, for example, makes \pychart{} draw everything three times larger.
\begin{seealso}
\xref{unit} for how the length and the coordinate system
are defined in \pychart{}.
\end{seealso}
\end{datadesc}
\begin{datadesc}{output_format}
\indexii{write}{format}
This variable sets the encoding of the data produced by \pychart{}.
The value of this variable must be one of the following strings.
\begin{description}
\item[\code{ps}:]
\item[\code{eps}:]
\index{PostScript}
\index{Encapsulated PostScript!see \textit{PostScript}}
Encapsulated PostScript. This is the default.
\item[\code{pdf}:]
\index{PDF}
Adobe Page Description Format, or PDF.
\item[\code{pdf-uncompressed}:]
PDF without compression.
This option should be used for a debugging purpose only.
\item[\code{png}:]
\index{PNG}
PNG graphics. You need to have ghostscript (\code{gs}) installed to use
this option, because \pychart{} internally calls ghostscript to convert
PostScript to PNG.
\begin{seealso}
\seeurl{http://www.ghostscript.com/}{See this web page for more information about Ghostscript.}
\end{seealso}
\item[\code{svg}:]
\index{SVG}
Scalable vector graphics.
\begin{seealso}
\seeurl{http://www.w3.org/Graphics/SVG/}{See this web page for more information about SVG.}
\end{seealso}
\item[\code{x11}:]
\index{X11}
\index{ghostscript}
Interactive display on in X window. This format works on UNIX-based
systems, but not on Windows. You need to have ghostscript installed to
use this option.
\end{description}
When this variable is not set (or is set to \code{None}),
\pychart{} guesses the format from the file name
(\code{theme.output_file}; see below).
Failing that, \pychart{} will generate
an encapsulated PostScript file.
\end{datadesc}
\begin{datadesc}{output_file}
\indexii{write}{file}
\index{file name}
Sets the output file name. Without this option, \pychart{} sends code
to the standard output.
If you want to produce multiple charts from a single Python source file,
use \code{canvas.init(\var{file})} (\pxref{module-canvas}).
\end{datadesc}
\begin{datadesc}{use_color}
\index{gray scale}
\index{color!-ing charts}
The default value of this variable is \code{False}.
If the value is \code{True},
\pychart{} colorizes some of the default objects.
If the value is \code{False}, \pychart{} uses gray scale for the color of
these objects.
In particular:
\begin{itemize}
\item
The standard color list (\code{colors.standards}) will include all
the colors listed in X's RGB file. So you can use something like
"\code{color.slate_blue}"\footnote{In fact, you can use these color names
in gray-scale mode as well. They will appear in some gray color though.}.
\xref{module-color} for more about colors.
\index{color!names}
\item
The standard fill style list (\code{fill_style.standards}) will
be colorized. Thus, if you create a bar plot without explicitly
specifying its fill style, you will see colored bars on the canvas.
\xref{module-fill-style} for more about fill styles.
\index{fill_style}
\item
The standard line style list (\code{line_style.standards}) will be colorized.
\xref{module-line-style} for more about line styles.
\index{line_style}
\end{itemize}
\end{datadesc}
\begin{datadesc}{default_font_family}
This variable sets the default font family used when
drawing texts. The default is Helvetica.
\xref{escape-sequence}.
\index{font!family}
\index{Helvetica (font)}
\end{datadesc}
\begin{datadesc}{default_font_size}
This variable sets the font size used when
drawing texts. The default is 9 points.
\xref{escape-sequence}.
\indexii{font}{size}
\end{datadesc}
\begin{datadesc}{default_halign}
Sets the default horizontal alignment of texts (Default value: \code{/h}).
\xref{escape-sequence}.
\end{datadesc}
\begin{datadesc}{default_valign}
Sets the default vertical alignment of texts (Default value: \code{/v}).
\xref{escape-sequence}.
\end{datadesc}
\begin{datadesc}{default_angle}
Default text-drawing angle (Default value: 0).
\xref{escape-sequence}.
\end{datadesc}
\begin{datadesc}{default_line_height}
Defines the separation between two text lines.
\xref{escape-sequence}.
\index{font!height}
\end{datadesc}
\begin{datadesc}{default_line_width}
\indexii{line}{width}
Set the default line width, in points (\pxref{unit}). (Default value: 0.4)
\xref{module-line-style}.
\end{datadesc}
\begin{datadesc}{debug_level}
This variable controls the verbosity of messages from \pychart{}. The
default value is 1, meaning that \pychart{} only displays error
messages. The larger the value, the more verbose \pychart{} becomes.
\end{datadesc}
\begin{datadesc}{bounding_box}
This variable, if set, manually sets the bounding box of the
chart(s) produced by \pychart{}. It is a four-tuple of numbers, i.e.,
(\var{xmin, ymin, xmax, ymax}).
\pychart{} usually calculates
the bounding box of a chart
automatically. Thus, you set this variable only
when you want to override the
calculation by \pychart{}, or \pychart{} screws the calculation. The latter
situation happens especially when you use really thick lines for
drawing. See also \code{delta_bounding_box}, described next.
\end{datadesc}
\begin{datadesc}{delta_bounding_box}
This variable, if set, adjusts the size of the bounding box of
the chart(s).
It is a four-tuple of numbers (\var{xmin}, \var{ymin}, \var{xmax}, \var{ymax}). Each of the number is added to the bounding box computed by
\pychart{}.
If both \code{bounding_box} and \code{delta_bounding_box} are
set, then \code{delta_bounding_box} is ignored.
\end{datadesc}
After changing any of the variables described so far, you \emph{must}
call the \code{reinitialize} function to reflect the change to
the rest of \pychart{}:
\begin{funcdesc}{reinitialize}{}
@pydescribe{theme.reinitialize}
\end{funcdesc}
\subsection{Changing the default behavior via command-line options}\label{command-line-options}
\index{command-line options}
The variables in the \module{theme} module can
also be set from the command line. To do this, the program
that imports \pychart{} must call \code{theme.get_options} in the
beginning, because \pychart{} itself is just a library. Below is an example.
\begin{funcdesc}{get_options}{ARGV = sys.argv[1:]}
@pydescribe{theme.get_options}
\end{funcdesc}
\subsection{Changing the default behavior via environment variable PYCHART_OPTIONS}\label{PYCHART-OPTIONS}
\index{environment variable}
\index{PYCHART_OPTIONS}
The variables in the \module{theme} module can also be set
via environment variable \code{PYCHART_OPTIONS}.
The value of this variable, if set, should be a
sequence of \code{var=val}, separated by space. For instance, the below
example tells \pychart{} to write to file \file{foo.pdf} and use
Times-Roman as the default font.
\begin{verbatim}
% PYCHART_OPTIONS="output=foo.pdf font-family=Times"
% export PYCHART_OPTIONS
\end{verbatim}
The summary of attributes that can be set via \code{PYCHART_OPTIONS}
follows.
\begin{description}
\item[font-family=\var{name}:]
\index{font}{family}
Same as setting \code{theme.default_font_family} variable.
\item[font-size=\var{size}:]
\index{font}{size}
Same as setting \code{theme.default_font_size} variable.
\item[line-width=\var{points}:]
Same as setting \code{theme.default_line_width} variable.
\item[scale=\var{n}:]
\index{scale!scaling charts}
\index{size!scaling charts (see \textit{scale})}
\index{magnifying charts!see \textit{scale}}
Same as setting \code{theme.scale_factor} variable.
\item[color=[yes|no]:]
\index{color!-izing charts}
Same as setting \code{theme.use_color} variable.
\item[debug-level=\var{N}:]
Same as setting \code{theme.debug_level} variable.
\item[bbox=\var{LEFT},\var{BOTTOM},\var{RIGHT},\var{TOP}:]
\index{bounding box}
This option sets \code{theme.bounding_box} and/or
\code{theme.delta_bounding_box}.
The value of this option is a sequence of four values, separated by
commas. Each value is of the form, \code{+}\var{num}, \code{-}\var{num},
or \var{num}. \code{+}\var{num} and \code{-}\var{num} adds to or subtracts
from the bounding-box value computed by \pychart{} (the unit is PostScript
points; \xref{unit}.) \var{num} sets the bounding box at that value. For
example,
\begin{verbatim}
bbox=-10,0,+10,100
\end{verbatim}
Extends the bounding box 10 points to both left and right, and sets the
vertical stretch from 0 to 100.
\end{description}
\section{Line styles}
\declaremodule{extension}{line-style}
\begin{classdesc*}{line_style.T}
This class defines the looks of line segments.
This class supports the following attributes:
\end{classdesc*}
%%line_style.T
The below picture show standard line styles.
These styles are referred to by names
\code{line_style.}\var{name}, where \var{name} is the label below each item.
@samplechart{linestyles}
\section{Colors}
\declaremodule{extension}{color}
\begin{classdesc*}{color.T}
This class determines the color.
\end{classdesc*}
This class supports the following attributes:
%%color.T
\index{rgb.txt}
\index{color!names}
For example, \code{color.T(r=1, g=1, b=1)} will produce white.
The color of \code{color.T(r=1, g=0, b=1)} will produce purple.
You can use all the colors defined in X rgb.txt (usually at
\file{/usr/X11R6/lib/X11/rgb.txt}). The below shows some of the standard
colors defined in the module. They are refereed to by the names
\code{color.}\var{name} (e.g., \code{color.gray1}).
@samplechart{colors}
\section{Fill styles}
\declaremodule{extension}{fill-style}
\begin{classdesc*}{fill_style.T}
This class determines the color and the pattern of the
background of a region. Class \code{fill_style.T} itself is an
abstract base class; actual drawing functions are provided by
its subclassess, which are described later.
\end{classdesc*}
This class supports the following attributes:
%%fill_style.T
\begin{classdesc*}{fill_style.Plain}
@pydescribe{fill_style.Plain}
\end{classdesc*}
\begin{classdesc*}{fill_style.Diag}
@pydescribe{fill_style.Diag}
\end{classdesc*}
\begin{classdesc*}{fill_style.Rdiag}
Fills the region with diagonal lines, but tilted in the opposite
direction from \code{fill_style.Diag}.
\end{classdesc*}
\begin{classdesc*}{fill_style.Vert}
Fills the region with vertical lines.
\end{classdesc*}
\begin{classdesc*}{fill_style.Horiz}
Fills the region with horizontal lines.
\end{classdesc*}
\begin{classdesc*}{fill_style.Stitch}
Fills the region with horizontal and vertical lines.
\end{classdesc*}
\begin{classdesc*}{fill_style.Wave}
Fills the region with horizontal wavy lines.
\end{classdesc*}
\begin{classdesc*}{fill_style.Vwave}
Fills the region with vertical wavy lines.
\end{classdesc*}
\begin{classdesc*}{fill_style.Lines}
Fills the region with a series of short line segments.
\end{classdesc*}
The below picture shows the standard set of fill styles. They are named
like \code{fill_style.}\var{name}, where \var{name} are the labels shown
in the picture.
@samplechart{fillstyles}
Just for your information, the "rdiag3" style shown in the picture can
be created manually by the following code:
\begin{verbatim}
rdiag3 = fill_style.Rdiag(line_style=line_style.T(width=3, color=color.gray5),
line_interval=6)
\end{verbatim}
You can create your own fill style by subtyping \code{fill_style.T}.
It should provide the following public method:
\begin{methoddesc}{draw}{self, can, x1, y1, x2, y2}
This method is called to fill a rectangular
region in a canvas. Parameter
\var{can} is a canvas (\pxref{module-canvas}), and
region (\var{x1,y1})-(\var{x2,y2}) specifies the region to be filled.
\end{methoddesc}
Just for your information, below is how the Rdiag class is implemented.
\begin{verbatim}
class Rdiag(fill_style.T):
"""Fills the region with diagonal lines, but tilted in the opposite
direction from fill_style.Diag."""
def draw(self, can, x1, y1, x2, y2):
line_width = self.line_style.width
interval = self.line_interval * 1.414
x1 -= line_width
y1 -= line_width
x2 += line_width
y2 += line_width
len = max(y2 - y1, x2 - x1)
while curx in range(x1, x2 + len, interval):
can.line(self.line_style, curx, y1, curx-len, y1+len)
\end{verbatim}
\section{Drawing texts}
\index{drawing!texts}
\index{text!see \textit{font}}
\index{font}
\index{show}
\declaremodule{extension}{font}
You can display text strings in chart as a part of axis labels, plot
labels, legends, etc. You can also display an arbitrary text in an
arbitrary location using annotations (\pxref{module-text-box}) or
\code{canvas.show} function (\pxref{module-canvas}).
\begin{seealso}
\secref{options} for a variety of ways to set default text attributes.
\end{seealso}
\subsection{Escape sequences}\label{escape-sequence}
\index{escape character}
A text string may contain escape characters that control its
appearance. The escape sequences all start with the letter
``\code{/}''. Thus, to display ``\code{/}'' itself, you must write
``\code{//}''.
\begin{quote}
\textbf{Restrictions}: \code{/h}, \code{/v}, and \code{/a} \emph{must}
appear in the beginning of a string.
\end{quote}
\index{/}
\index{alignment (font)}
\index{justification (font)}
\begin{description}
\item[\code{/a\var{dd}}]
Specifies the angle of the text. Parameter \var{dd} is a number
between -360 to 360. Value 0 means left-to-right text, 90 means
bottom-to-up, etc.
If you want to print numbers right after an angle specification, put
\code{\{} between the angle and the number. For example, the below
code shows string "\code{"100"}" at a 60-degree angle.
\begin{verbatim}
"/a60{}100"
\end{verbatim}
\index{rotation (text)}
\item[\code{/h}\var{A}:]
Specifies horizontal alignment of the text. \var{A} is one of
"\code{L}" (left alignment), "\code{R}" (right alignment), or "\code{C}"
(center alignment).
\item[\code{/v}\var{A}:]
Specifies vertical alignment of the text. \var{A} is one of "\code{B}"
(bottom), "\code{T}" (top), or "\code{M}" (middle).
\item[\code{/T}]:
Switch to Times font family.
\index{Times-Roman (font)}
\item[\code{/H}:] Switch to Helvetica font family.
\index{Helvetica (font)}
\item[\code{/C}:] Switch to Courier font family.
\index{Courier (font)}
\item[\code{/B}:] Switch to Bookman-Demi font family.
\index{Bookman-Demi (font)}
\item[\code{/A}:] Switch to AvantGarde-Book font family.
\index{AvantGarde-Book (font)}
\item[\code{/P}:] Switch to Palatino font family.
\index{Palatino (font)}
\item[\code{/S}:] Switch to Symbol font family.
\index{Symbol (font)}
\item[\code{/F\{\var{family}\}}:] Switch to \var{family} font family.
The below example draws string "Funny" using ZapfDingbat font
(which produces some meaningless output).
\index{font!family}
\begin{verbatim}
canvas.show(100, 200, "/F{ZapfDingbat}Funny")
\end{verbatim}
The list of available fonts are the following:
\begin{quote}
Bookman-Demi Bookman-Light Courier AvantGarde-Book AvantGarde-Demi
Helvetica Helvetica-Narrow Palatino NewCenturySchlbk Times
Symbol ZapfChancery-MediumItalic ZapfChancery-Medium-Italic ZapfDingbats
\end{quote}
\item[\code{/b}:] Switch to bold typeface.
\index{bold (typeface)}
\item[\code{/i}:] Switch to italic typeface.
\index{italic (typeface)}
\item[\code{/o}:] Switch to oblique typeface.
\index{oblique (typeface)}
\item[\code{/}\var{dd}:] Set font size to \var{dd} points.
\indexii{size}{font}
\index{font!size}
\begin{verbatim}
"/20{}2001 space odyssey!"
\end{verbatim}
\item[\code{/c}\var{dd}:] Set gray-scale to 0.\var{dd}.
Gray-scale of 0 means black, 1 means white.
\indexii{gray scale}{font}
\item[\code{//}, \code{/\{}, \code{/\}}:] Display `/', `\}', or `\{'.
\item[\code{\{ ... \}}:] Limit the scope of escape sequences. For example,
\code{"\{/10\{/20Big text\} and small text\}"}
will display \code{"Big Text"} using
a 20-point font, and \code{"and small text"} using a 10-point font.
\index{\{}
\index{\}}
\index{/}
\item[\code{$\backslash$n}:] Break the line.
\index{line break}
\end{description}
@samplechartandcode{fonttest, Font usage example}
\subsection{Procedures provided in the \module{font} module}
\index{escape character}
\index{font}
The \module{font} module defines several procedures and variables for
manipulating texts and fonts:
\begin{funcdesc}{quotemeta}{text}
\index{escape character}{quoting -}
@pydescribe{font.quotemeta}
\end{funcdesc}
\begin{funcdesc}{text_height}{text}
@pydescribe{font.text_height}
\end{funcdesc}
\begin{funcdesc}{text_width}{text}
@pydescribe{font.text_width}
\end{funcdesc}
\begin{funcdesc}{get_dimension}{text}
@pydescribe{font.get_dimension}
\end{funcdesc}
\section{Annotation}
\index{arrow (extension module)}
\index{annotation}
\declaremodule{extension}{text-box}
\begin{classdesc*}{text_box.T}
A text box is an optional element that adds a text box and arrows to a
chart. This class supports the following attributes:
\end{classdesc*}
%%text_box.T
In addition to the above attributes, this class
provides the following methods.
\begin{methoddesc}{add_arrow}{tip, tail=None, arrow=arrow.default}
This method adds a straight arrow that points to \var{tip}, which is
a tuple of integers. Parameter \var{tail}
specifies the starting point of the
arrow. It is either None or a string consisting of the following
letters:
\begin{quote}
'l', 'c', 'r', 't', 'm,', 'b'
\end{quote}
Letters 'l', 'c', or 'r'
means to start the arrow from the left, center, or right of the text
box, respectively. Letters 't', 'm', or 'b' means to start the arrow
from the top, middle or bottom of the text box. For example, when
\code{tail = 'tc'} then arrow is drawn from top-center point of the text
box. Parameter \var{arrow} specifies the style of the arrow.
\begin{seealso}
Section~\ref{module-arrow} for arrows.
\end{seealso}
\end{methoddesc}
@samplechartandcode{annotations, Annotations example}
\section{Arrows}
\declaremodule{extension}{arrow}
\begin{classdesc*}{arrow.T}
Arrow is an optional component of a chart that draws line segments with
an arrowhead. To draw an arrow, one creates an arrow.T object, and calls
its "draw" method usually after area.draw() is called (otherwise, area.draw()
may overwrite the arrow). For example, the below code draws an arrow
from (10,10) to (20,30).
\begin{verbatim}
ar = area.T(...)
a = arrow.T(head_style = 1)
ar.draw()
a.draw([(10,10), (20,30)])
\end{verbatim}
\end{classdesc*}
This class supports the following attributes:
%%arrow.T
An arrow object exports a single public method, \code{draw}.
\begin{methoddesc}{draw}{points}
@pydescribe{arrow.T.draw}
\end{methoddesc}
@samplechart{arrows}
\section{Zap marks}
\declaremodule{extension}{zap}
A zapping symbol is a zig-zag symbol that indicates that a certain
region of a plot is cut out due to space constraints. It's usually used
in conjunction with non-linear/non-logarithmic coordinate system.
\xref{module-coord}, for an sample of zap symbols.
\begin{funcdesc}{zap.zap_horizontally}{canvas, style, fill_style, x1, y1, x2, y2, xsize, ysize}
@pydescribe{zap.zap_horizontally}
\end{funcdesc}
\begin{funcdesc}{zap.zap_vertically}{canvas, style, fill_style, x1, y1, x2, y2, xsize, ysize}
@pydescribe{zap.zap_vertically}
\end{funcdesc}
\section{\module{canvas} -- Controlling output and format}
\declaremodule{extension}{canvas}
\index{canvas (default -)}
\begin{classdesc*}{canvas.T}
Canvas is an object that corresponds to a single output file. It
provides a set of methods for drawing lines, polygons, texts, and other
things in a manner independent of the file's format. Canvas is usually
hidden from the user, as \pychart{} creates a \emph{default canvas} when it
starts up and implicitly writes all charts on the default canvas (unless
the user specifies otherwise; more on that later). There are some
occasions, however, in which you might want to manipulate a canvas
explicitly, e.g., when you want to create multiple plots from a single
file, or you just want to add lines and texts directly.
Class \code{canvas.T} is an abstract base class. \pychart{} provides several
subclasses that correspond to specific file formats. For example,
\code{pscanvas.T} implements methods for PostScript output. Class
\code{pdfcanvas.T} implements methods for PDF output.
\index{PostScript}
\index{PDF}
\index{file}{format}
\end{classdesc*}
\subsection{Creating a canvas}\label{creating-canvas}
\index{canvas.T (class in canvas)}
\index{redirecting output}
\indexii{write}{file}
\index{file name}
A new canvas is created by calling the class static method
\code{canvas.init}. It is closed by
calling the \code{close()} method of the canvas object.
\begin{funcdesc}{init}{fname=None format=None}
@pydescribe{canvas.init}
\end{funcdesc}
\begin{methoddesc}{close}{}
@pydescribe{basecanvas.T.close}
\end{methoddesc}
\subsection{Drawing plots on canvas}\label{drawing-graph-canvas}
\index{drawing!plots on canvas}
\pychart{} creates a new canvas object when "\code{area.T.draw()}"
(\pxref{module-area}) is called for the first time, and no canvas is yet
created at that moment. You can thus use you own canvas by creating a
canvas \emph{before} calling the first \code{area.T.draw()}, like below:
\begin{verbatim}
can = canvas.init("foo.pdf")
...
ar = area.T(...)
ar.draw()
\end{verbatim}
You can also achieve the same effect by passing the canvas object to the
\code{area.T.draw()} method explicitly:
\begin{verbatim}
can = canvas.init("foo.pdf")
...
ar = area.T(...)
ar.draw(can)
\end{verbatim}
You can also pass a file object (or file-like object, such as
\code{StringIO}) to canvas.init. In this case, you need
to define the output format via the second argument.
\index{file object}
\index{StringIO}
\indexii{string}{write}
\begin{verbatim}
fd = file("foo.pdf", "w")
can = canvas.init(fd, "pdf")
...
ar.draw(can)
\end{verbatim}
\index{drawing!multiple graphs}
\index{file!generating multiple files}
Naturally, you can write to multiple files by passing multiple
\code{canvas} objects to different \code{area.T.draw()}. For example,
the below example draws the first chart to \file{graph1.pdf} and the next
chart to \file{graph2.pdf}.
@samplecode{twographs}
\subsection{Drawing other objects on canvas}\label{drawing-canvas}
\index{drawing!arbitrary objects on canvas}
The objects of \code{canvas.T} class and its subclasses provides
several methods that can be invoked manually to draw variety of things
if you desire so. These methods take Postscript points
as the unit of X and Y
coordinates, as described in \secref{unit}.
(These methods obey the scaling-factor specifications).
\begin{methoddesc}{line}{linestyle, x1, y1, x2, y2}
\begin{verbatim}
# draw a line segment from (10,20) to (100, 200)
can.line(line_style.blackdash1, 10, 20, 100, 200)
\end{verbatim}
\index{line}
\end{methoddesc}
\begin{methoddesc}{polygon}{linestyle, fillstyle, [(x1,y1), ..., (xn, yn)], shadow = None}
Draw a polygon \var{points}, with \var{linestyle}
(\pxref{module-line-style}), and fill with
\var{fillstyle}
(\pxref{module-fill-style}). Parameter \var{points}
is a list of
coordinates, e.g., ((10,10), (15,5), (20,8)).
Value of \var{linestyle} can be None, in which case
no line is drawn on the perimeter. Value of \var{fillstyle} can also be
None, in which the internal of the polygon are left undrawn.
@shadow
\begin{verbatim}
can.polygon(line_style.default, fill_style.default,
[(10, 20), (100, 200), (300,300)])
\end{verbatim}
\end{methoddesc}
\begin{methoddesc}{rectangle}{linestyle, fillstyle, x1, y1, x2, y2, shadow=None}
@shadow
\begin{verbatim}
can.rectangle(line_style.default, fill_style.default, 10, 20, 300, 300)
\end{verbatim}
\end{methoddesc}
\begin{methoddesc}{ellipsis}{linestyle, fillstyle, x, y, radius, y_elongation=1, start=0, end=360, shadow=None}
The start and end angles are specified in degrees; i.e., between 0 and
360.
@shadow
\end{methoddesc}
\begin{methoddesc}{round_rectangle}{linestyle, fillstyle, x1, y2, x2, y2, radius, shadow=None}
\index{marquee}
\index{round_rectangle}
@pydescribe{basecanvas.T.round_rectangle}
@shadow
\end{methoddesc}
\index{Bezier curve}
\begin{methoddesc}{curve}{linestyle, [(x1,y2), ..., (xn, yn)]}
Draw a Bezier curve.
\end{methoddesc}
\begin{methoddesc}{show}{x, y, text}
Draw a \var{text} on the canvas at location (\var{x, y}).
Parameter \var{text} supports font manipulation, as
described in \xref{module-font}.
\end{methoddesc}
\begin{methoddesc}{verbatim}{string}
This procedure outputs an arbitrary \var{string} to the output file.
\index{PostScript}
\index{verbatim}
\end{methoddesc}
\subsection{Clipping}\label{clipping-canvas}
\index{clipping}
A rectangle, polygon, or ellipsis can be used to define a clipping
region. Any drawing commands (\pxref{module-canvas}) issued afterward are
confined in the region. You can even nest multiple clipping regions,
in which case, drawings will be clipped to the intersection of the
regions. \code{canvas.endclip()} ends the clipping. Clipping commands
and \code{endclip()} must nest properly.
@samplechartandcode{cliptest, Clipping test}
The following \code{canvas.T} methods are used to control clipping:
\begin{methoddesc}{clip}{x1, y1, x2, y2}
@pydescribe{basecanvas.T.clip}
\end{methoddesc}
\begin{methoddesc}{clip_ellipsis}{x, y, radius, y_elongation}
@pydescribe{basecanvas.T.clip_ellipsis}
\end{methoddesc}
\begin{methoddesc}{clip_polygon}{[(x1,y2),(x2,y2), ..., (xn, yn)]}
@pydescribe{basecanvas.T.clip_polygon}
\end{methoddesc}
\begin{methoddesc}{endclip}{}
@pydescribe{basecanvas.T.endclip}
\end{methoddesc}
\subsection{Setting canvas properties}\label{property-canvas}
A \code{canvas.T} object provides the following methods to define the
information about the output file.
\begin{verbatim}
can = canvas.init("foo.pdf")
ar = area.T(...)
can.set_author("Charles Dickens")
can.set_title("A tale of two cities")
ar.draw(can)
\end{verbatim}
\begin{methoddesc}{set_title}{str}
\index{title (setting - of chart)}
@pydescribe{basecanvas.T.set_title}
\end{methoddesc}
\begin{methoddesc}{set_author}{str}
\index{author (setting - of chart)}
@pydescribe{basecanvas.T.set_author}
\end{methoddesc}
\begin{methoddesc}{set_creator}{str}
\index{creator (setting - of chart)}
\index{producer (setting - of chart)}
@pydescribe{basecanvas.T.set_creator}
\end{methoddesc}
\begin{methoddesc}{set_creation_date}{str}
\index{date!setting creation - of chart}
@pydescribe{basecanvas.T.set_creation_date}
\end{methoddesc}
\subsection{Shortcut functions for the default canvas}\label{default-canvas}
For the default canvas (\pxref{drawing-canvas}), you can call the
following functions provided in the \code{canvas} module directly:
\begin{funcdesc}{line}{linestyle, x1, y1, x2, y2}
Calls the method with the same name on the default canvas object.
\end{funcdesc}
\begin{funcdesc}{polygon}{linestyle, fillstyle, [(x1,y1), ..., (xn, yn)]}
Calls the method with the same name on the default canvas object.
\end{funcdesc}
\begin{funcdesc}{rectangle}{linestyle, fillstyle, x1, y1, x2, y2, shadow=None}
Calls the method with the same name on the default canvas object.
@shadow
\end{funcdesc}
\begin{funcdesc}{ellipsis}{linestyle, fillstyle, x, y, radius, y_elongation=1, start=0, end=360, shadow=None}
Calls the method with the same name on the default canvas object.
@shadow
\end{funcdesc}
\begin{funcdesc}{round_rectangle}{linestyle, fillstyle, x1, y2, x2, y2,radius, shadow=None}
Calls the method with the same name on the default canvas object.
@shadow
\end{funcdesc}
\begin{funcdesc}{curve}{linestyle, [(x1,y2), ..., (xn, yn)]}
Calls the method with the same name on the default canvas object.
\end{funcdesc}
\index{font}
\begin{funcdesc}{show}{x, y, text}
Calls the method with the same name on the default canvas object.
\end{funcdesc}
\index{comments!- in PS or PDF}
\begin{funcdesc}{verbatim}{str}
Calls the method with the same name on the default canvas object.
\end{funcdesc}
\begin{funcdesc}{default_canvas}{}
Return the default canvas.
\end{funcdesc}
\index{canvas (default -)}
\begin{funcdesc}{clip}{x1, y1, x2, y2}
Calls the method with the same name on the default canvas object.
\end{funcdesc}
\begin{funcdesc}{clip_ellipsis}{x, y, radius, y_elongation}
Calls the method with the same name on the default canvas object.
\end{funcdesc}
\begin{funcdesc}{clip_polygon}{[(x1,y2),(x2,y2), ..., (xn, yn)]}
Calls the method with the same name on the default canvas object.
\end{funcdesc}
\begin{funcdesc}{endclip}{}
Calls the method with the same name on the default canvas object.
\end{funcdesc}
\input{pychart.ind}
\end{document}
PyChart-1.39/doc/markuphtml.py 0000644 0001750 0001750 00000003452 10354321374 017765 0 ustar santiago santiago 0000000 0000000 import re
import sys
pats = (
("theme.get_options()", "options"),
("area.T", "module-area"),
("interval_bar_plot.T", "module-interval-bar-plot"),
("bar_plot.T", "module-bar-plot"),
("line_plot.T", "module-line-plot"),
("range_plot.T", "module-range-plot"),
("pie_plot.T", "module-pie-plot"),
("color\\.", "module-color"),
("line_style\\.", "module-line-style"),
("fill_style\\.", "module-fill-style"),
("tick_mark\\.", "module-tick-mark"),
("log_coord\\.T", "module-coord"),
("linear_coord\\.T", "module-coord"),
("category_coord\\.T", "module-coord"),
("error_bar\\.", "module-error-bar"),
("text_box\\.T", "module-text-box"),
("arrow\\.T", "module-arrow"),
("axis\\.", "module-axis"),
("chart_data\\.", "module-chart-data"),
("legend\\.", "module-legend"),
("theme\\.", "options"),
("canvas\\.", "module-canvas"),
("zap\\.", "module-zap"),
)
re_pats = {}
for pat, repl in pats:
re_pats[re.compile("(" + pat + ")")] = repl
def hackimgref(mo):
path = mo.group(1)
i = path.rfind("/")
path2 = path[(i+1):]
print >>sys.stderr, "PATH=", path, path2
return 'SRC="%s"' % path2
in_example = False
for l in sys.stdin.readlines():
l = re.sub('SRC="(/nfs[^\"]+)"', hackimgref, l)
if re.match(".*]*>", l):
in_example = True
elif l.find("") >= 0:
in_example = False
if not in_example:
l = re.sub("", """\n""", l)
print l,
continue
for str, ref in pats:
l = re.sub("(" + str + ")", "\\1 " % ref, l)
#l = re.sub(str, "\\1 " % ref, l)
print l,
PyChart-1.39/pychart/ 0000755 0001750 0001750 00000000000 10352125055 016124 5 ustar santiago santiago 0000000 0000000 PyChart-1.39/pychart/afm/ 0000755 0001750 0001750 00000000000 10352125056 016670 5 ustar santiago santiago 0000000 0000000 PyChart-1.39/pychart/afm/Helvetica.py 0000644 0001750 0001750 00000002707 10354321374 021157 0 ustar santiago santiago 0000000 0000000 # AFM font Helvetica (path: /usr/share/fonts/afms/adobe/phvr8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Helvetica"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 278, 355, 556, 556, 889, 667, 222, 333, 333, 389, 584, 278, 333, 278, 278, 556, 556, 556, 556, 556, 556, 556, 556, 556, 556, 278, 278, 584, 584, 584, 556, 1015, 667, 667, 722, 722, 667, 611, 778, 722, 278, 500, 667, 556, 833, 722, 778, 667, 778, 722, 667, 611, 722, 667, 944, 667, 667, 611, 278, 278, 278, 469, 556, 222, 556, 556, 500, 556, 556, 278, 556, 556, 222, 222, 500, 222, 833, 556, 556, 556, 556, 333, 500, 278, 556, 500, 722, 500, 500, 500, 334, 260, 334, 584, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 556, 556, 167, 556, 556, 556, 556, 191, 333, 556, 333, 333, 500, 500, 500, 556, 556, 556, 278, 500, 537, 350, 222, 333, 333, 556, 1000, 1000, 500, 611, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 1000, 500, 370, 500, 500, 500, 500, 556, 778, 1000, 365, 500, 500, 500, 500, 500, 889, 500, 500, 500, 278, 500, 500, 222, 611, 944, 611, )
PyChart-1.39/pychart/afm/Helvetica_Bold.py 0000644 0001750 0001750 00000002720 10354321374 022112 0 ustar santiago santiago 0000000 0000000 # AFM font Helvetica-Bold (path: /usr/share/fonts/afms/adobe/phvb8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Helvetica-Bold"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 333, 474, 556, 556, 889, 722, 278, 333, 333, 389, 584, 278, 333, 278, 278, 556, 556, 556, 556, 556, 556, 556, 556, 556, 556, 333, 333, 584, 584, 584, 611, 975, 722, 722, 722, 722, 667, 611, 778, 722, 278, 556, 722, 611, 833, 722, 778, 667, 778, 722, 667, 611, 722, 667, 944, 667, 667, 611, 333, 278, 333, 584, 556, 278, 556, 611, 556, 611, 556, 333, 611, 611, 278, 278, 556, 278, 889, 611, 611, 611, 611, 389, 556, 333, 611, 556, 778, 556, 556, 500, 389, 280, 389, 584, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 556, 556, 167, 556, 556, 556, 556, 238, 500, 556, 333, 333, 611, 611, 500, 556, 556, 556, 278, 500, 556, 350, 278, 500, 500, 556, 1000, 1000, 500, 611, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 1000, 500, 370, 500, 500, 500, 500, 611, 778, 1000, 365, 500, 500, 500, 500, 500, 889, 500, 500, 500, 278, 500, 500, 278, 611, 944, 611, )
PyChart-1.39/pychart/afm/Palatino_BoldItalic.py 0000644 0001750 0001750 00000002732 10354321374 023106 0 ustar santiago santiago 0000000 0000000 # AFM font Palatino-BoldItalic (path: /usr/share/fonts/afms/adobe/pplbi8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Palatino-BoldItalic"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 250, 333, 500, 500, 500, 889, 833, 278, 333, 333, 444, 606, 250, 389, 250, 315, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 250, 250, 606, 606, 606, 444, 833, 722, 667, 685, 778, 611, 556, 778, 778, 389, 389, 722, 611, 944, 778, 833, 667, 833, 722, 556, 611, 778, 667, 1000, 722, 611, 667, 333, 606, 333, 606, 500, 278, 556, 537, 444, 556, 444, 333, 500, 556, 333, 333, 556, 333, 833, 556, 556, 556, 537, 389, 444, 389, 556, 556, 833, 500, 556, 500, 333, 606, 333, 606, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 500, 500, 167, 500, 500, 556, 500, 250, 500, 500, 333, 333, 611, 611, 500, 500, 556, 556, 250, 500, 556, 606, 250, 500, 500, 500, 1000, 1000, 500, 444, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 556, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 944, 500, 333, 500, 500, 500, 500, 611, 833, 944, 333, 500, 500, 500, 500, 500, 738, 500, 500, 500, 333, 500, 500, 333, 556, 778, 556, )
PyChart-1.39/pychart/afm/Utopia_Regular.py 0000644 0001750 0001750 00000002717 10354321374 022176 0 ustar santiago santiago 0000000 0000000 # AFM font Utopia-Regular (path: /usr/share/fonts/afms/adobe/putr8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Utopia-Regular"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 225, 242, 458, 530, 530, 838, 706, 278, 350, 350, 412, 570, 265, 392, 265, 460, 530, 530, 530, 530, 530, 530, 530, 530, 530, 530, 265, 265, 570, 570, 570, 389, 793, 635, 646, 684, 779, 606, 580, 734, 798, 349, 350, 658, 568, 944, 780, 762, 600, 762, 644, 541, 621, 791, 634, 940, 624, 588, 610, 330, 460, 330, 570, 500, 278, 523, 598, 496, 598, 514, 319, 520, 607, 291, 280, 524, 279, 923, 619, 577, 608, 591, 389, 436, 344, 606, 504, 768, 486, 506, 480, 340, 228, 340, 570, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 242, 530, 530, 150, 530, 530, 554, 530, 278, 458, 442, 257, 257, 610, 610, 500, 500, 504, 488, 265, 500, 555, 409, 278, 458, 458, 442, 1000, 1208, 500, 389, 500, 400, 400, 400, 400, 400, 400, 400, 400, 500, 400, 400, 500, 400, 400, 400, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 876, 500, 390, 500, 500, 500, 500, 574, 762, 1025, 398, 500, 500, 500, 500, 500, 797, 500, 500, 500, 291, 500, 500, 294, 577, 882, 601, )
PyChart-1.39/pychart/afm/NewCenturySchlbk_Roman.py 0000644 0001750 0001750 00000002740 10354321374 023636 0 ustar santiago santiago 0000000 0000000 # AFM font NewCenturySchlbk-Roman (path: /usr/share/fonts/afms/adobe/pncr8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["NewCenturySchlbk-Roman"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 296, 389, 556, 556, 833, 815, 204, 333, 333, 500, 606, 278, 333, 278, 278, 556, 556, 556, 556, 556, 556, 556, 556, 556, 556, 278, 278, 606, 606, 606, 444, 737, 722, 722, 722, 778, 722, 667, 778, 833, 407, 556, 778, 667, 944, 815, 778, 667, 778, 722, 630, 667, 815, 722, 981, 704, 704, 611, 333, 606, 333, 606, 500, 204, 556, 556, 444, 574, 500, 333, 537, 611, 315, 296, 593, 315, 889, 611, 500, 574, 556, 444, 463, 389, 611, 537, 778, 537, 537, 481, 333, 606, 333, 606, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 296, 556, 556, 167, 556, 556, 500, 556, 204, 389, 426, 259, 259, 611, 611, 500, 556, 500, 500, 278, 500, 606, 606, 204, 389, 389, 426, 1000, 1000, 500, 444, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 1000, 500, 334, 500, 500, 500, 500, 667, 778, 1000, 300, 500, 500, 500, 500, 500, 796, 500, 500, 500, 315, 500, 500, 315, 500, 833, 574, )
PyChart-1.39/pychart/afm/Courier_BoldOblique.py 0000644 0001750 0001750 00000002726 10354321374 023145 0 ustar santiago santiago 0000000 0000000 # AFM font Courier-BoldOblique (path: /usr/share/fonts/afms/adobe/pcrbo8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Courier-BoldOblique"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 500, 600, 600, 600, 600, 500, 600, 600, 600, 600, 600, 600, 600, 600, 500, 600, 500, 600, 600, 600, 600, 600, 600, 600, 600, 500, 600, 600, 500, 600, 600, 600, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 600, 500, 600, 500, 500, 500, 500, 600, 600, 600, 600, 500, 500, 500, 500, 500, 600, 500, 500, 500, 600, 500, 500, 600, 600, 600, 600, )
PyChart-1.39/pychart/afm/Palatino_Roman.py 0000644 0001750 0001750 00000002717 10354321374 022157 0 ustar santiago santiago 0000000 0000000 # AFM font Palatino-Roman (path: /usr/share/fonts/afms/adobe/pplr8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Palatino-Roman"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 250, 278, 371, 500, 500, 840, 778, 278, 333, 333, 389, 606, 250, 333, 250, 606, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 250, 250, 606, 606, 606, 444, 747, 778, 611, 709, 774, 611, 556, 763, 832, 337, 333, 726, 611, 946, 831, 786, 604, 786, 668, 525, 613, 778, 722, 1000, 667, 667, 667, 333, 606, 333, 606, 500, 278, 500, 553, 444, 611, 479, 333, 556, 582, 291, 234, 556, 291, 883, 582, 546, 601, 560, 395, 424, 326, 603, 565, 834, 516, 556, 500, 333, 606, 333, 606, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 500, 500, 167, 500, 500, 500, 500, 208, 500, 500, 331, 331, 605, 608, 500, 500, 500, 500, 250, 500, 628, 606, 278, 500, 500, 500, 1000, 1144, 500, 444, 500, 333, 333, 333, 333, 333, 333, 250, 333, 500, 333, 333, 500, 380, 313, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 944, 500, 333, 500, 500, 500, 500, 611, 833, 998, 333, 500, 500, 500, 500, 500, 758, 500, 500, 500, 287, 500, 500, 291, 556, 827, 556, )
PyChart-1.39/pychart/afm/Helvetica_LightOblique.py 0000644 0001750 0001750 00000002741 10354321374 023625 0 ustar santiago santiago 0000000 0000000 # AFM font Helvetica-LightOblique (path: /usr/share/fonts/afms/adobe/phvlo8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Helvetica-LightOblique"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 333, 278, 556, 556, 889, 667, 222, 333, 333, 389, 660, 278, 333, 278, 278, 556, 556, 556, 556, 556, 556, 556, 556, 556, 556, 278, 278, 660, 660, 660, 500, 800, 667, 667, 722, 722, 611, 556, 778, 722, 278, 500, 667, 556, 833, 722, 778, 611, 778, 667, 611, 556, 722, 611, 889, 611, 611, 611, 333, 278, 333, 660, 500, 222, 556, 611, 556, 611, 556, 278, 611, 556, 222, 222, 500, 222, 833, 556, 556, 611, 611, 333, 500, 278, 556, 500, 722, 500, 500, 500, 333, 222, 333, 660, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 556, 556, 167, 556, 556, 556, 556, 222, 389, 556, 389, 389, 500, 500, 500, 500, 556, 556, 278, 500, 650, 500, 222, 389, 389, 556, 1000, 1000, 500, 500, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 1000, 500, 334, 500, 500, 500, 500, 556, 778, 1000, 334, 500, 500, 500, 500, 500, 889, 500, 500, 500, 222, 500, 500, 222, 556, 944, 500, )
PyChart-1.39/pychart/afm/Bookman_Light.py 0000644 0001750 0001750 00000002716 10354321374 021770 0 ustar santiago santiago 0000000 0000000 # AFM font Bookman-Light (path: /usr/share/fonts/afms/adobe/pbkl8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Bookman-Light"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 320, 300, 380, 620, 620, 900, 800, 220, 300, 300, 440, 600, 320, 400, 320, 600, 620, 620, 620, 620, 620, 620, 620, 620, 620, 620, 320, 320, 600, 600, 600, 540, 820, 680, 740, 740, 800, 720, 640, 800, 800, 340, 600, 720, 600, 920, 740, 800, 620, 820, 720, 660, 620, 780, 700, 960, 720, 640, 640, 300, 600, 300, 600, 500, 220, 580, 620, 520, 620, 520, 320, 540, 660, 300, 300, 620, 300, 940, 660, 560, 620, 580, 440, 520, 380, 680, 520, 780, 560, 540, 480, 280, 600, 280, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 300, 620, 620, 140, 620, 620, 520, 620, 220, 400, 360, 240, 240, 620, 620, 500, 500, 540, 540, 320, 500, 600, 460, 220, 400, 400, 360, 1000, 1280, 500, 540, 500, 340, 340, 420, 440, 440, 460, 260, 420, 500, 320, 320, 500, 380, 320, 420, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 1260, 500, 420, 500, 500, 500, 500, 600, 800, 1240, 420, 500, 500, 500, 500, 500, 860, 500, 500, 500, 300, 500, 500, 320, 560, 900, 660, )
PyChart-1.39/pychart/afm/Times_Roman.py 0000644 0001750 0001750 00000002710 10354321374 021462 0 ustar santiago santiago 0000000 0000000 # AFM font Times-Roman (path: /usr/share/fonts/afms/adobe/ptmr8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Times-Roman"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 250, 333, 408, 500, 500, 833, 778, 333, 333, 333, 500, 564, 250, 333, 250, 278, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 278, 564, 564, 564, 444, 921, 722, 667, 667, 722, 611, 556, 722, 722, 333, 389, 722, 611, 889, 722, 722, 556, 722, 667, 556, 611, 722, 722, 944, 722, 722, 611, 333, 278, 333, 469, 500, 333, 444, 500, 444, 500, 444, 333, 500, 500, 278, 278, 500, 278, 778, 500, 500, 500, 500, 333, 389, 278, 500, 500, 722, 500, 500, 444, 480, 200, 480, 541, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 500, 500, 167, 500, 500, 500, 500, 180, 444, 500, 333, 333, 556, 556, 500, 500, 500, 500, 250, 500, 453, 350, 333, 444, 444, 500, 1000, 1000, 500, 444, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 889, 500, 276, 500, 500, 500, 500, 611, 722, 889, 310, 500, 500, 500, 500, 500, 667, 500, 500, 500, 278, 500, 500, 278, 500, 722, 500, )
PyChart-1.39/pychart/afm/Courier.py 0000644 0001750 0001750 00000002675 10354321374 020667 0 ustar santiago santiago 0000000 0000000 # AFM font Courier (path: /usr/share/fonts/afms/adobe/pcrr8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Courier"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 500, 600, 600, 600, 600, 500, 600, 600, 600, 600, 600, 600, 600, 600, 500, 600, 500, 600, 600, 600, 600, 600, 600, 600, 600, 500, 600, 600, 500, 600, 600, 600, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 600, 500, 600, 500, 500, 500, 500, 600, 600, 600, 600, 500, 500, 500, 500, 500, 600, 500, 500, 500, 600, 500, 500, 600, 600, 600, 600, )
PyChart-1.39/pychart/afm/Bookman_Demi.py 0000644 0001750 0001750 00000002715 10354321374 021576 0 ustar santiago santiago 0000000 0000000 # AFM font Bookman-Demi (path: /usr/share/fonts/afms/adobe/pbkd8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Bookman-Demi"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 340, 360, 420, 660, 660, 940, 800, 320, 320, 320, 460, 600, 340, 360, 340, 600, 660, 660, 660, 660, 660, 660, 660, 660, 660, 660, 340, 340, 600, 600, 600, 660, 820, 720, 720, 740, 780, 720, 680, 780, 820, 400, 640, 800, 640, 940, 740, 800, 660, 800, 780, 660, 700, 740, 720, 940, 780, 700, 640, 300, 600, 300, 600, 500, 320, 580, 600, 580, 640, 580, 380, 580, 680, 360, 340, 660, 340, 1000, 680, 620, 640, 620, 460, 520, 460, 660, 600, 800, 600, 620, 560, 320, 600, 320, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 360, 660, 660, 120, 660, 660, 600, 660, 240, 540, 400, 220, 220, 740, 740, 500, 500, 440, 380, 340, 500, 800, 460, 320, 540, 540, 400, 1000, 1360, 500, 660, 500, 400, 400, 500, 480, 460, 500, 320, 500, 500, 340, 360, 500, 440, 320, 500, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 1140, 500, 400, 500, 500, 500, 500, 640, 800, 1220, 400, 500, 500, 500, 500, 500, 880, 500, 500, 500, 360, 500, 500, 340, 620, 940, 660, )
PyChart-1.39/pychart/afm/ZapfDingbats.py 0000644 0001750 0001750 00000002725 10354321374 021627 0 ustar santiago santiago 0000000 0000000 # AFM font ZapfDingbats (path: /usr/share/fonts/afms/adobe/pzdr.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["ZapfDingbats"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 974, 961, 974, 980, 719, 789, 790, 791, 690, 960, 939, 549, 855, 911, 933, 911, 945, 974, 755, 846, 762, 761, 571, 677, 763, 760, 759, 754, 494, 552, 537, 577, 692, 786, 788, 788, 790, 793, 794, 816, 823, 789, 841, 823, 833, 816, 831, 923, 744, 723, 749, 790, 792, 695, 776, 768, 792, 759, 707, 708, 682, 701, 826, 815, 789, 789, 707, 687, 696, 689, 786, 787, 713, 791, 785, 791, 873, 761, 762, 762, 759, 759, 892, 892, 788, 784, 438, 138, 277, 415, 392, 392, 668, 668, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 732, 544, 544, 910, 667, 760, 760, 776, 595, 694, 626, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 788, 894, 838, 1016, 458, 748, 924, 748, 918, 927, 928, 928, 834, 873, 828, 924, 924, 917, 930, 931, 463, 883, 836, 836, 867, 867, 696, 696, 874, 500, 874, 760, 946, 771, 865, 771, 888, 967, 888, 831, 873, 927, 970, 918, )
PyChart-1.39/pychart/afm/Helvetica_Oblique.py 0000644 0001750 0001750 00000002730 10354321374 022633 0 ustar santiago santiago 0000000 0000000 # AFM font Helvetica-Oblique (path: /usr/share/fonts/afms/adobe/phvro8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Helvetica-Oblique"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 278, 355, 556, 556, 889, 667, 222, 333, 333, 389, 584, 278, 333, 278, 278, 556, 556, 556, 556, 556, 556, 556, 556, 556, 556, 278, 278, 584, 584, 584, 556, 1015, 667, 667, 722, 722, 667, 611, 778, 722, 278, 500, 667, 556, 833, 722, 778, 667, 778, 722, 667, 611, 722, 667, 944, 667, 667, 611, 278, 278, 278, 469, 556, 222, 556, 556, 500, 556, 556, 278, 556, 556, 222, 222, 500, 222, 833, 556, 556, 556, 556, 333, 500, 278, 556, 500, 722, 500, 500, 500, 334, 260, 334, 584, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 556, 556, 167, 556, 556, 556, 556, 191, 333, 556, 333, 333, 500, 500, 500, 556, 556, 556, 278, 500, 537, 350, 222, 333, 333, 556, 1000, 1000, 500, 611, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 1000, 500, 370, 500, 500, 500, 500, 556, 778, 1000, 365, 500, 500, 500, 500, 500, 889, 500, 500, 500, 278, 500, 500, 222, 611, 944, 611, )
PyChart-1.39/pychart/afm/ZapfChancery_MediumItalic.py 0000644 0001750 0001750 00000002743 10354321374 024256 0 ustar santiago santiago 0000000 0000000 # AFM font ZapfChancery-MediumItalic (path: /usr/share/fonts/afms/adobe/pzcmi8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["ZapfChancery-MediumItalic"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 220, 280, 220, 440, 440, 680, 780, 240, 260, 220, 420, 520, 220, 280, 220, 340, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 260, 240, 520, 520, 520, 380, 700, 620, 600, 520, 700, 620, 580, 620, 680, 380, 400, 660, 580, 840, 700, 600, 540, 600, 600, 460, 500, 740, 640, 880, 560, 560, 620, 240, 480, 320, 520, 500, 240, 420, 420, 340, 440, 340, 320, 400, 440, 240, 220, 440, 240, 620, 460, 400, 440, 400, 300, 320, 320, 460, 440, 680, 420, 400, 440, 240, 520, 240, 520, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 280, 440, 440, 60, 440, 440, 420, 440, 160, 340, 340, 240, 260, 520, 520, 500, 500, 460, 480, 220, 500, 500, 600, 180, 280, 360, 380, 1000, 960, 500, 400, 500, 220, 300, 340, 440, 440, 440, 220, 360, 500, 300, 300, 500, 400, 280, 340, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 740, 500, 260, 500, 500, 500, 500, 580, 660, 820, 260, 500, 500, 500, 500, 500, 540, 500, 500, 500, 240, 500, 500, 300, 440, 560, 420, )
PyChart-1.39/pychart/afm/Helvetica_Narrow_BoldOblique.py 0000644 0001750 0001750 00000002751 10354321374 024767 0 ustar santiago santiago 0000000 0000000 # AFM font Helvetica-Narrow-BoldOblique (path: /usr/share/fonts/afms/adobe/phvbo8an.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Helvetica-Narrow-BoldOblique"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 228, 273, 389, 456, 456, 729, 592, 228, 273, 273, 319, 479, 228, 273, 228, 228, 456, 456, 456, 456, 456, 456, 456, 456, 456, 456, 273, 273, 479, 479, 479, 501, 800, 592, 592, 592, 592, 547, 501, 638, 592, 228, 456, 592, 501, 683, 592, 638, 547, 638, 592, 547, 501, 592, 547, 774, 547, 547, 501, 273, 228, 273, 479, 456, 228, 456, 501, 456, 501, 456, 273, 501, 501, 228, 228, 456, 228, 729, 501, 501, 501, 501, 319, 456, 273, 501, 456, 638, 456, 456, 410, 319, 230, 319, 479, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 273, 456, 456, 137, 456, 456, 456, 456, 195, 410, 456, 273, 273, 501, 501, 500, 456, 456, 456, 228, 500, 456, 287, 228, 410, 410, 456, 820, 820, 500, 501, 500, 273, 273, 273, 273, 273, 273, 273, 273, 500, 273, 273, 500, 273, 273, 273, 820, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 820, 500, 303, 500, 500, 500, 500, 501, 638, 820, 299, 500, 500, 500, 500, 500, 729, 500, 500, 500, 228, 500, 500, 228, 501, 774, 501, )
PyChart-1.39/pychart/afm/Courier_Bold.py 0000644 0001750 0001750 00000002707 10354321374 021623 0 ustar santiago santiago 0000000 0000000 # AFM font Courier-Bold (path: /usr/share/fonts/afms/adobe/pcrb8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Courier-Bold"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 500, 600, 600, 600, 600, 500, 600, 600, 600, 600, 600, 600, 600, 600, 500, 600, 500, 600, 600, 600, 600, 600, 600, 600, 600, 500, 600, 600, 500, 600, 600, 600, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 600, 500, 600, 500, 500, 500, 500, 600, 600, 600, 600, 500, 500, 500, 500, 500, 600, 500, 500, 500, 600, 500, 500, 600, 600, 600, 600, )
PyChart-1.39/pychart/afm/Helvetica_Narrow_Oblique.py 0000644 0001750 0001750 00000002741 10354321374 024165 0 ustar santiago santiago 0000000 0000000 # AFM font Helvetica-Narrow-Oblique (path: /usr/share/fonts/afms/adobe/phvro8an.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Helvetica-Narrow-Oblique"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 228, 228, 291, 456, 456, 729, 547, 182, 273, 273, 319, 479, 228, 273, 228, 228, 456, 456, 456, 456, 456, 456, 456, 456, 456, 456, 228, 228, 479, 479, 479, 456, 832, 547, 547, 592, 592, 547, 501, 638, 592, 228, 410, 547, 456, 683, 592, 638, 547, 638, 592, 547, 501, 592, 547, 774, 547, 547, 501, 228, 228, 228, 385, 456, 182, 456, 456, 410, 456, 456, 228, 456, 456, 182, 182, 410, 182, 683, 456, 456, 456, 456, 273, 410, 228, 456, 410, 592, 410, 410, 410, 274, 213, 274, 479, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 273, 456, 456, 137, 456, 456, 456, 456, 157, 273, 456, 273, 273, 410, 410, 500, 456, 456, 456, 228, 500, 440, 287, 182, 273, 273, 456, 820, 820, 500, 501, 500, 273, 273, 273, 273, 273, 273, 273, 273, 500, 273, 273, 500, 273, 273, 273, 820, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 820, 500, 303, 500, 500, 500, 500, 456, 638, 820, 299, 500, 500, 500, 500, 500, 729, 500, 500, 500, 228, 500, 500, 182, 501, 774, 501, )
PyChart-1.39/pychart/afm/Bookman_LightItalic.py 0000644 0001750 0001750 00000002732 10354321374 023114 0 ustar santiago santiago 0000000 0000000 # AFM font Bookman-LightItalic (path: /usr/share/fonts/afms/adobe/pbkli8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Bookman-LightItalic"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 300, 320, 360, 620, 620, 800, 820, 280, 280, 280, 440, 600, 300, 320, 300, 600, 620, 620, 620, 620, 620, 620, 620, 620, 620, 620, 300, 300, 600, 600, 600, 540, 780, 700, 720, 720, 740, 680, 620, 760, 800, 320, 560, 720, 580, 860, 720, 760, 600, 780, 700, 640, 600, 720, 680, 960, 700, 660, 580, 260, 600, 260, 600, 500, 280, 620, 600, 480, 640, 540, 340, 560, 620, 280, 280, 600, 280, 880, 620, 540, 600, 560, 400, 540, 340, 620, 540, 880, 540, 600, 520, 360, 600, 380, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 320, 620, 620, 20, 620, 620, 620, 620, 200, 440, 300, 180, 180, 640, 660, 500, 500, 620, 620, 300, 500, 620, 460, 320, 480, 440, 300, 1000, 1180, 500, 540, 500, 340, 320, 440, 440, 440, 440, 260, 420, 500, 300, 320, 500, 340, 260, 440, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 1220, 500, 440, 500, 500, 500, 500, 580, 760, 1180, 400, 500, 500, 500, 500, 500, 880, 500, 500, 500, 280, 500, 500, 340, 540, 900, 620, )
PyChart-1.39/pychart/afm/dir.py 0000644 0001750 0001750 00000000014 10354321374 020016 0 ustar santiago santiago 0000000 0000000 afm = {}
PyChart-1.39/pychart/afm/NewCenturySchlbk_BoldItalic.py 0000644 0001750 0001750 00000002751 10354321374 024572 0 ustar santiago santiago 0000000 0000000 # AFM font NewCenturySchlbk-BoldItalic (path: /usr/share/fonts/afms/adobe/pncbi8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["NewCenturySchlbk-BoldItalic"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 287, 333, 400, 574, 574, 889, 889, 259, 407, 407, 500, 606, 287, 333, 287, 278, 574, 574, 574, 574, 574, 574, 574, 574, 574, 574, 287, 287, 606, 606, 606, 481, 747, 741, 759, 759, 833, 741, 704, 815, 870, 444, 667, 778, 704, 944, 852, 833, 741, 833, 796, 685, 722, 833, 741, 944, 741, 704, 704, 407, 606, 407, 606, 500, 259, 667, 611, 537, 667, 519, 389, 611, 685, 389, 370, 648, 389, 944, 685, 574, 648, 630, 519, 481, 407, 685, 556, 833, 574, 519, 519, 407, 606, 407, 606, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 574, 574, 167, 574, 574, 500, 574, 287, 481, 481, 278, 278, 685, 685, 500, 500, 500, 500, 287, 500, 650, 606, 259, 481, 481, 481, 1000, 1167, 500, 481, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 889, 500, 412, 500, 500, 500, 500, 704, 833, 963, 356, 500, 500, 500, 500, 500, 815, 500, 500, 500, 389, 500, 500, 389, 574, 852, 574, )
PyChart-1.39/pychart/afm/Helvetica_Light.py 0000644 0001750 0001750 00000002722 10354321374 022303 0 ustar santiago santiago 0000000 0000000 # AFM font Helvetica-Light (path: /usr/share/fonts/afms/adobe/phvl8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Helvetica-Light"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 333, 278, 556, 556, 889, 667, 222, 333, 333, 389, 660, 278, 333, 278, 278, 556, 556, 556, 556, 556, 556, 556, 556, 556, 556, 278, 278, 660, 660, 660, 500, 800, 667, 667, 722, 722, 611, 556, 778, 722, 278, 500, 667, 556, 833, 722, 778, 611, 778, 667, 611, 556, 722, 611, 889, 611, 611, 611, 333, 278, 333, 660, 500, 222, 556, 611, 556, 611, 556, 278, 611, 556, 222, 222, 500, 222, 833, 556, 556, 611, 611, 333, 500, 278, 556, 500, 722, 500, 500, 500, 333, 222, 333, 660, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 556, 556, 167, 556, 556, 556, 556, 222, 389, 556, 389, 389, 500, 500, 500, 500, 556, 556, 278, 500, 650, 500, 222, 389, 389, 556, 1000, 1000, 500, 500, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 1000, 500, 334, 500, 500, 500, 500, 556, 778, 1000, 334, 500, 500, 500, 500, 500, 889, 500, 500, 500, 222, 500, 500, 222, 556, 944, 500, )
PyChart-1.39/pychart/afm/Palatino_Bold.py 0000644 0001750 0001750 00000002720 10354321374 021755 0 ustar santiago santiago 0000000 0000000 # AFM font Palatino-Bold (path: /usr/share/fonts/afms/adobe/pplb8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Palatino-Bold"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 250, 278, 402, 500, 500, 889, 833, 278, 333, 333, 444, 606, 250, 333, 250, 296, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 250, 250, 606, 606, 606, 444, 747, 778, 667, 722, 833, 611, 556, 833, 833, 389, 389, 778, 611, 1000, 833, 833, 611, 833, 722, 611, 667, 778, 778, 1000, 667, 667, 667, 333, 606, 333, 606, 500, 278, 500, 611, 444, 611, 500, 389, 556, 611, 333, 333, 611, 333, 889, 611, 556, 611, 611, 389, 444, 333, 611, 556, 833, 500, 556, 500, 310, 606, 310, 606, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 500, 500, 167, 500, 500, 500, 500, 227, 500, 500, 389, 389, 611, 611, 500, 500, 500, 500, 250, 500, 641, 606, 333, 500, 500, 500, 1000, 1000, 500, 444, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 1000, 500, 438, 500, 500, 500, 500, 611, 833, 1000, 488, 500, 500, 500, 500, 500, 778, 500, 500, 500, 333, 500, 500, 333, 556, 833, 611, )
PyChart-1.39/pychart/afm/Utopia_BoldItalic.py 0000644 0001750 0001750 00000002726 10354321374 022603 0 ustar santiago santiago 0000000 0000000 # AFM font Utopia-BoldItalic (path: /usr/share/fonts/afms/adobe/putbi8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Utopia-BoldItalic"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 210, 285, 455, 560, 560, 896, 752, 246, 350, 350, 500, 600, 280, 392, 280, 260, 560, 560, 560, 560, 560, 560, 560, 560, 560, 560, 280, 280, 600, 600, 600, 454, 828, 634, 680, 672, 774, 622, 585, 726, 800, 386, 388, 688, 586, 921, 741, 761, 660, 761, 681, 551, 616, 776, 630, 920, 630, 622, 618, 350, 460, 350, 600, 500, 246, 596, 586, 456, 609, 476, 348, 522, 629, 339, 333, 570, 327, 914, 635, 562, 606, 584, 440, 417, 359, 634, 518, 795, 516, 489, 466, 340, 265, 340, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 285, 560, 560, 100, 560, 560, 568, 560, 246, 455, 560, 360, 360, 651, 652, 500, 500, 514, 490, 280, 500, 580, 465, 246, 455, 455, 560, 1000, 1297, 500, 454, 500, 400, 400, 400, 400, 400, 400, 402, 400, 500, 400, 400, 500, 400, 350, 400, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 890, 500, 444, 500, 500, 500, 500, 592, 761, 1016, 412, 500, 500, 500, 500, 500, 789, 500, 500, 500, 339, 500, 500, 339, 562, 811, 628, )
PyChart-1.39/pychart/afm/AvantGarde_BookOblique.py 0000644 0001750 0001750 00000002742 10354321374 023561 0 ustar santiago santiago 0000000 0000000 # AFM font AvantGarde-BookOblique (path: /usr/share/fonts/afms/adobe/pagko8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["AvantGarde-BookOblique"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 277, 295, 309, 554, 554, 775, 757, 351, 369, 369, 425, 606, 277, 332, 277, 437, 554, 554, 554, 554, 554, 554, 554, 554, 554, 554, 277, 277, 606, 606, 606, 591, 867, 740, 574, 813, 744, 536, 485, 872, 683, 226, 482, 591, 462, 919, 740, 869, 592, 871, 607, 498, 426, 655, 702, 960, 609, 592, 480, 351, 605, 351, 606, 500, 351, 683, 682, 647, 685, 650, 314, 673, 610, 200, 203, 502, 200, 938, 610, 655, 682, 682, 301, 388, 339, 608, 554, 831, 480, 536, 425, 351, 672, 351, 606, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 295, 554, 554, 166, 554, 554, 615, 554, 198, 502, 425, 251, 251, 487, 485, 500, 500, 553, 553, 277, 500, 564, 606, 354, 502, 484, 425, 1000, 1174, 500, 591, 500, 378, 375, 502, 439, 485, 453, 222, 369, 500, 332, 324, 500, 552, 302, 502, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 992, 500, 369, 500, 500, 500, 500, 517, 868, 1194, 369, 500, 500, 500, 500, 500, 1157, 500, 500, 500, 200, 500, 500, 300, 653, 1137, 554, )
PyChart-1.39/pychart/afm/Palatino_Italic.py 0000644 0001750 0001750 00000002722 10354321374 022304 0 ustar santiago santiago 0000000 0000000 # AFM font Palatino-Italic (path: /usr/share/fonts/afms/adobe/pplri8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Palatino-Italic"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 250, 333, 500, 500, 500, 889, 778, 278, 333, 333, 389, 606, 250, 333, 250, 296, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 250, 250, 606, 606, 606, 500, 747, 722, 611, 667, 778, 611, 556, 722, 778, 333, 333, 667, 556, 944, 778, 778, 611, 778, 667, 556, 611, 778, 722, 944, 722, 667, 667, 333, 606, 333, 606, 500, 278, 444, 463, 407, 500, 389, 278, 500, 500, 278, 278, 444, 278, 778, 556, 444, 500, 463, 389, 389, 333, 556, 500, 722, 500, 500, 444, 333, 606, 333, 606, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 500, 500, 167, 500, 500, 500, 500, 333, 500, 500, 333, 333, 528, 545, 500, 500, 500, 500, 250, 500, 500, 500, 278, 500, 500, 500, 1000, 1000, 500, 500, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 941, 500, 333, 500, 500, 500, 500, 556, 778, 1028, 333, 500, 500, 500, 500, 500, 638, 500, 500, 500, 278, 500, 500, 278, 444, 669, 500, )
PyChart-1.39/pychart/afm/Times_Bold.py 0000644 0001750 0001750 00000002712 10354321374 021270 0 ustar santiago santiago 0000000 0000000 # AFM font Times-Bold (path: /usr/share/fonts/afms/adobe/ptmb8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Times-Bold"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 250, 333, 555, 500, 500, 1000, 833, 333, 333, 333, 500, 570, 250, 333, 250, 278, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 333, 570, 570, 570, 500, 930, 722, 667, 722, 722, 667, 611, 778, 778, 389, 500, 778, 667, 944, 722, 778, 611, 778, 722, 556, 667, 722, 722, 1000, 722, 722, 667, 333, 278, 333, 581, 500, 333, 500, 556, 444, 556, 444, 333, 500, 556, 278, 333, 556, 278, 833, 556, 500, 556, 556, 444, 389, 333, 556, 500, 722, 500, 500, 444, 394, 220, 394, 520, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 500, 500, 167, 500, 500, 500, 500, 278, 500, 500, 333, 333, 556, 556, 500, 500, 500, 500, 250, 500, 540, 350, 333, 500, 500, 500, 1000, 1000, 500, 500, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 1000, 500, 300, 500, 500, 500, 500, 667, 778, 1000, 330, 500, 500, 500, 500, 500, 722, 500, 500, 500, 278, 500, 500, 278, 500, 722, 556, )
PyChart-1.39/pychart/afm/Helvetica_BoldOblique.py 0000644 0001750 0001750 00000002737 10354321374 023443 0 ustar santiago santiago 0000000 0000000 # AFM font Helvetica-BoldOblique (path: /usr/share/fonts/afms/adobe/phvbo8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Helvetica-BoldOblique"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 333, 474, 556, 556, 889, 722, 278, 333, 333, 389, 584, 278, 333, 278, 278, 556, 556, 556, 556, 556, 556, 556, 556, 556, 556, 333, 333, 584, 584, 584, 611, 975, 722, 722, 722, 722, 667, 611, 778, 722, 278, 556, 722, 611, 833, 722, 778, 667, 778, 722, 667, 611, 722, 667, 944, 667, 667, 611, 333, 278, 333, 584, 556, 278, 556, 611, 556, 611, 556, 333, 611, 611, 278, 278, 556, 278, 889, 611, 611, 611, 611, 389, 556, 333, 611, 556, 778, 556, 556, 500, 389, 280, 389, 584, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 556, 556, 167, 556, 556, 556, 556, 238, 500, 556, 333, 333, 611, 611, 500, 556, 556, 556, 278, 500, 556, 350, 278, 500, 500, 556, 1000, 1000, 500, 611, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 1000, 500, 370, 500, 500, 500, 500, 611, 778, 1000, 365, 500, 500, 500, 500, 500, 889, 500, 500, 500, 278, 500, 500, 278, 611, 944, 611, )
PyChart-1.39/pychart/afm/Helvetica_Narrow.py 0000644 0001750 0001750 00000002720 10354321374 022502 0 ustar santiago santiago 0000000 0000000 # AFM font Helvetica-Narrow (path: /usr/share/fonts/afms/adobe/phvr8an.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Helvetica-Narrow"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 228, 228, 291, 456, 456, 729, 547, 182, 273, 273, 319, 479, 228, 273, 228, 228, 456, 456, 456, 456, 456, 456, 456, 456, 456, 456, 228, 228, 479, 479, 479, 456, 832, 547, 547, 592, 592, 547, 501, 638, 592, 228, 410, 547, 456, 683, 592, 638, 547, 638, 592, 547, 501, 592, 547, 774, 547, 547, 501, 228, 228, 228, 385, 456, 182, 456, 456, 410, 456, 456, 228, 456, 456, 182, 182, 410, 182, 683, 456, 456, 456, 456, 273, 410, 228, 456, 410, 592, 410, 410, 410, 274, 213, 274, 479, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 273, 456, 456, 137, 456, 456, 456, 456, 157, 273, 456, 273, 273, 410, 410, 500, 456, 456, 456, 228, 500, 440, 287, 182, 273, 273, 456, 820, 820, 500, 501, 500, 273, 273, 273, 273, 273, 273, 273, 273, 500, 273, 273, 500, 273, 273, 273, 820, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 820, 500, 303, 500, 500, 500, 500, 456, 638, 820, 299, 500, 500, 500, 500, 500, 729, 500, 500, 500, 228, 500, 500, 182, 501, 774, 501, )
PyChart-1.39/pychart/afm/NewCenturySchlbk_Bold.py 0000644 0001750 0001750 00000002735 10354321374 023446 0 ustar santiago santiago 0000000 0000000 # AFM font NewCenturySchlbk-Bold (path: /usr/share/fonts/afms/adobe/pncb8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["NewCenturySchlbk-Bold"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 287, 296, 333, 574, 574, 833, 852, 241, 389, 389, 500, 606, 278, 333, 278, 278, 574, 574, 574, 574, 574, 574, 574, 574, 574, 574, 278, 278, 606, 606, 606, 500, 747, 759, 778, 778, 833, 759, 722, 833, 870, 444, 648, 815, 722, 981, 833, 833, 759, 833, 815, 667, 722, 833, 759, 981, 722, 722, 667, 389, 606, 389, 606, 500, 241, 611, 648, 556, 667, 574, 389, 611, 685, 370, 352, 667, 352, 963, 685, 611, 667, 648, 519, 500, 426, 685, 611, 889, 611, 611, 537, 389, 606, 389, 606, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 296, 574, 574, 167, 574, 574, 500, 574, 241, 481, 500, 333, 333, 685, 685, 500, 500, 500, 500, 278, 500, 747, 606, 241, 481, 481, 500, 1000, 1000, 500, 500, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 981, 500, 367, 500, 500, 500, 500, 722, 833, 1000, 367, 500, 500, 500, 500, 500, 870, 500, 500, 500, 370, 500, 500, 352, 611, 907, 611, )
PyChart-1.39/pychart/afm/NewCenturySchlbk_Italic.py 0000644 0001750 0001750 00000002741 10354321374 023770 0 ustar santiago santiago 0000000 0000000 # AFM font NewCenturySchlbk-Italic (path: /usr/share/fonts/afms/adobe/pncri8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["NewCenturySchlbk-Italic"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 333, 400, 556, 556, 833, 852, 204, 333, 333, 500, 606, 278, 333, 278, 606, 556, 556, 556, 556, 556, 556, 556, 556, 556, 556, 278, 278, 606, 606, 606, 444, 747, 704, 722, 722, 778, 722, 667, 778, 833, 407, 611, 741, 667, 944, 815, 778, 667, 778, 741, 667, 685, 815, 704, 926, 704, 685, 667, 333, 606, 333, 606, 500, 204, 574, 556, 444, 611, 444, 333, 537, 611, 333, 315, 556, 333, 889, 611, 500, 574, 556, 444, 444, 352, 611, 519, 778, 500, 500, 463, 333, 606, 333, 606, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 556, 556, 167, 556, 556, 500, 556, 278, 389, 426, 333, 333, 611, 611, 500, 500, 500, 500, 278, 500, 650, 606, 204, 389, 389, 426, 1000, 1000, 500, 444, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 870, 500, 422, 500, 500, 500, 500, 667, 778, 981, 372, 500, 500, 500, 500, 500, 722, 500, 500, 500, 333, 500, 500, 333, 500, 778, 556, )
PyChart-1.39/pychart/afm/Courier_Oblique.py 0000644 0001750 0001750 00000002716 10354321374 022343 0 ustar santiago santiago 0000000 0000000 # AFM font Courier-Oblique (path: /usr/share/fonts/afms/adobe/pcrro8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Courier-Oblique"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 600, 500, 600, 600, 600, 600, 500, 600, 600, 600, 600, 600, 600, 600, 600, 500, 600, 500, 600, 600, 600, 600, 600, 600, 600, 600, 500, 600, 600, 500, 600, 600, 600, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 600, 500, 600, 500, 500, 500, 500, 600, 600, 600, 600, 500, 500, 500, 500, 500, 600, 500, 500, 500, 600, 500, 500, 600, 600, 600, 600, )
PyChart-1.39/pychart/afm/Bookman_DemiItalic.py 0000644 0001750 0001750 00000002732 10354321374 022723 0 ustar santiago santiago 0000000 0000000 # AFM font Bookman-DemiItalic (path: /usr/share/fonts/afms/adobe/pbkdi8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Bookman-DemiItalic"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 340, 320, 380, 680, 680, 880, 980, 320, 260, 260, 460, 600, 340, 280, 340, 360, 680, 680, 680, 680, 680, 680, 680, 680, 680, 680, 340, 340, 620, 600, 620, 620, 780, 720, 720, 700, 760, 720, 660, 760, 800, 380, 620, 780, 640, 860, 740, 760, 640, 760, 740, 700, 700, 740, 660, 1000, 740, 660, 680, 260, 580, 260, 620, 500, 320, 680, 600, 560, 680, 560, 420, 620, 700, 380, 320, 700, 380, 960, 680, 600, 660, 620, 500, 540, 440, 680, 540, 860, 620, 600, 560, 300, 620, 300, 620, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 320, 680, 680, 120, 680, 680, 620, 680, 180, 520, 380, 220, 220, 820, 820, 500, 500, 420, 420, 340, 500, 680, 360, 300, 520, 520, 380, 1000, 1360, 500, 620, 500, 380, 340, 480, 480, 480, 460, 380, 520, 500, 360, 360, 500, 560, 320, 480, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 1140, 500, 440, 500, 500, 500, 500, 640, 760, 1180, 440, 500, 500, 500, 500, 500, 880, 500, 500, 500, 380, 500, 500, 380, 600, 920, 660, )
PyChart-1.39/pychart/afm/AvantGarde_Book.py 0000644 0001750 0001750 00000002723 10354321374 022237 0 ustar santiago santiago 0000000 0000000 # AFM font AvantGarde-Book (path: /usr/share/fonts/afms/adobe/pagk8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["AvantGarde-Book"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 277, 295, 309, 554, 554, 775, 757, 351, 369, 369, 425, 606, 277, 332, 277, 437, 554, 554, 554, 554, 554, 554, 554, 554, 554, 554, 277, 277, 606, 606, 606, 591, 867, 740, 574, 813, 744, 536, 485, 872, 683, 226, 482, 591, 462, 919, 740, 869, 592, 871, 607, 498, 426, 655, 702, 960, 609, 592, 480, 351, 605, 351, 606, 500, 351, 683, 682, 647, 685, 650, 314, 673, 610, 200, 203, 502, 200, 938, 610, 655, 682, 682, 301, 388, 339, 608, 554, 831, 480, 536, 425, 351, 672, 351, 606, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 295, 554, 554, 166, 554, 554, 615, 554, 198, 502, 425, 251, 251, 487, 485, 500, 500, 553, 553, 277, 500, 564, 606, 354, 502, 484, 425, 1000, 1174, 500, 591, 500, 378, 375, 502, 439, 485, 453, 222, 369, 500, 332, 324, 500, 552, 302, 502, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 992, 500, 369, 500, 500, 500, 500, 517, 868, 1194, 369, 500, 500, 500, 500, 500, 1157, 500, 500, 500, 200, 500, 500, 300, 653, 1137, 554, )
PyChart-1.39/pychart/afm/AvantGarde_DemiOblique.py 0000644 0001750 0001750 00000002742 10354321374 023545 0 ustar santiago santiago 0000000 0000000 # AFM font AvantGarde-DemiOblique (path: /usr/share/fonts/afms/adobe/pagdo8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["AvantGarde-DemiOblique"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 280, 280, 360, 560, 560, 860, 680, 280, 380, 380, 440, 600, 280, 420, 280, 460, 560, 560, 560, 560, 560, 560, 560, 560, 560, 560, 280, 280, 600, 600, 600, 560, 740, 740, 580, 780, 700, 520, 480, 840, 680, 280, 480, 620, 440, 900, 740, 840, 560, 840, 580, 520, 420, 640, 700, 900, 680, 620, 500, 320, 640, 320, 600, 500, 280, 660, 660, 640, 660, 640, 280, 660, 600, 240, 260, 580, 240, 940, 600, 640, 660, 660, 320, 440, 300, 600, 560, 800, 560, 580, 460, 340, 600, 340, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 280, 560, 560, 160, 560, 560, 560, 560, 220, 480, 460, 240, 240, 520, 520, 500, 500, 560, 560, 280, 500, 600, 600, 280, 480, 480, 460, 1000, 1280, 500, 560, 500, 420, 420, 540, 480, 420, 480, 280, 500, 500, 360, 340, 500, 700, 340, 540, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 900, 500, 360, 500, 500, 500, 500, 480, 840, 1060, 360, 500, 500, 500, 500, 500, 1080, 500, 500, 500, 240, 500, 500, 320, 660, 1080, 600, )
PyChart-1.39/pychart/afm/Utopia_Bold.py 0000644 0001750 0001750 00000002711 10354321374 021447 0 ustar santiago santiago 0000000 0000000 # AFM font Utopia-Bold (path: /usr/share/fonts/afms/adobe/putb8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Utopia-Bold"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 210, 278, 473, 560, 560, 887, 748, 252, 365, 365, 442, 600, 280, 392, 280, 378, 560, 560, 560, 560, 560, 560, 560, 560, 560, 560, 280, 280, 600, 600, 600, 456, 833, 644, 683, 689, 777, 629, 593, 726, 807, 384, 386, 707, 585, 918, 739, 768, 650, 768, 684, 561, 624, 786, 645, 933, 634, 617, 614, 335, 379, 335, 600, 500, 252, 544, 605, 494, 605, 519, 342, 533, 631, 316, 316, 582, 309, 948, 638, 585, 615, 597, 440, 446, 370, 629, 520, 774, 522, 524, 483, 365, 284, 365, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 560, 560, 100, 560, 560, 566, 560, 252, 473, 487, 287, 287, 639, 639, 500, 500, 510, 486, 280, 500, 552, 455, 252, 473, 473, 487, 1000, 1289, 500, 456, 500, 430, 430, 430, 430, 430, 430, 430, 430, 500, 430, 430, 500, 430, 430, 430, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 879, 500, 405, 500, 500, 500, 500, 591, 768, 1049, 427, 500, 500, 500, 500, 500, 806, 500, 500, 500, 316, 500, 500, 321, 585, 866, 662, )
PyChart-1.39/pychart/afm/AvantGarde_Demi.py 0000644 0001750 0001750 00000002723 10354321374 022223 0 ustar santiago santiago 0000000 0000000 # AFM font AvantGarde-Demi (path: /usr/share/fonts/afms/adobe/pagd8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["AvantGarde-Demi"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 280, 280, 360, 560, 560, 860, 680, 280, 380, 380, 440, 600, 280, 420, 280, 460, 560, 560, 560, 560, 560, 560, 560, 560, 560, 560, 280, 280, 600, 600, 600, 560, 740, 740, 580, 780, 700, 520, 480, 840, 680, 280, 480, 620, 440, 900, 740, 840, 560, 840, 580, 520, 420, 640, 700, 900, 680, 620, 500, 320, 640, 320, 600, 500, 280, 660, 660, 640, 660, 640, 280, 660, 600, 240, 260, 580, 240, 940, 600, 640, 660, 660, 320, 440, 300, 600, 560, 800, 560, 580, 460, 340, 600, 340, 600, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 280, 560, 560, 160, 560, 560, 560, 560, 220, 480, 460, 240, 240, 520, 520, 500, 500, 560, 560, 280, 500, 600, 600, 280, 480, 480, 460, 1000, 1280, 500, 560, 500, 420, 420, 540, 480, 420, 480, 280, 500, 500, 360, 340, 500, 700, 340, 540, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 900, 500, 360, 500, 500, 500, 500, 480, 840, 1060, 360, 500, 500, 500, 500, 500, 1080, 500, 500, 500, 240, 500, 500, 320, 660, 1080, 600, )
PyChart-1.39/pychart/afm/__init__.py 0000644 0001750 0001750 00000001533 10354321374 021006 0 ustar santiago santiago 0000000 0000000 __all__ = ["Courier_Oblique", "AvantGarde_BookOblique", "Times_Italic", "Helvetica_Bold", "NewCenturySchlbk_Roman", "Helvetica", "Helvetica_Narrow", "AvantGarde_Demi", "Times_BoldItalic", "Helvetica_Narrow_Bold", "Helvetica_Light", "Bookman_DemiItalic", "Utopia_Regular", "Times_Roman", "Palatino_Italic", "Courier_Bold", "ZapfChancery_MediumItalic", "NewCenturySchlbk_Italic", "NewCenturySchlbk_BoldItalic", "Helvetica_Narrow_BoldOblique", "Courier", "AvantGarde_DemiOblique", "Courier_BoldOblique", "Bookman_LightItalic", "Symbol", "Utopia_Bold", "Times_Bold", "Helvetica_BoldOblique", "Utopia_BoldItalic", "AvantGarde_Book", "Bookman_Demi", "Palatino_Roman", "Bookman_Light", "Utopia_Italic", "NewCenturySchlbk_Bold", "Helvetica_LightOblique", "ZapfDingbats", "Helvetica_Narrow_Oblique", "Helvetica_Oblique", "Palatino_BoldItalic", "Palatino_Bold", "dir"]
PyChart-1.39/pychart/afm/Symbol.py 0000644 0001750 0001750 00000002714 10354321374 020516 0 ustar santiago santiago 0000000 0000000 # AFM font Symbol (path: /usr/share/fonts/afms/adobe/psyr.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Symbol"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 250, 333, 713, 500, 549, 833, 778, 439, 333, 333, 500, 549, 250, 549, 250, 278, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 278, 278, 549, 549, 549, 444, 549, 722, 667, 722, 612, 611, 763, 603, 722, 333, 631, 722, 686, 889, 722, 722, 768, 741, 556, 592, 611, 690, 439, 768, 645, 795, 611, 333, 863, 333, 658, 500, 500, 631, 549, 549, 494, 439, 521, 411, 603, 329, 603, 549, 549, 576, 521, 549, 549, 521, 549, 603, 439, 576, 713, 686, 493, 686, 494, 480, 200, 480, 549, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 620, 247, 549, 167, 713, 500, 753, 753, 753, 753, 1042, 987, 603, 987, 603, 400, 549, 411, 549, 549, 713, 494, 460, 549, 549, 549, 549, 1000, 603, 1000, 658, 823, 686, 795, 987, 768, 768, 823, 768, 768, 713, 713, 713, 713, 713, 713, 713, 768, 713, 790, 790, 890, 823, 549, 250, 713, 603, 603, 1042, 987, 603, 987, 603, 494, 329, 790, 790, 786, 713, 384, 384, 384, 384, 384, 384, 494, 494, 494, 494, 500, 329, 274, 686, 686, 686, 384, 384, 384, 384, 384, 384, 494, 494, 494, )
PyChart-1.39/pychart/afm/Times_Italic.py 0000644 0001750 0001750 00000002711 10354321374 021614 0 ustar santiago santiago 0000000 0000000 # AFM font Times-Italic (path: /usr/share/fonts/afms/adobe/ptmri8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Times-Italic"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 250, 333, 420, 500, 500, 833, 778, 333, 333, 333, 500, 675, 250, 333, 250, 278, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 333, 675, 675, 675, 500, 920, 611, 611, 667, 722, 611, 611, 722, 722, 333, 444, 667, 556, 833, 667, 722, 611, 722, 611, 500, 556, 722, 611, 833, 611, 556, 556, 389, 278, 389, 422, 500, 333, 500, 500, 444, 500, 444, 278, 500, 500, 278, 278, 444, 278, 722, 500, 500, 500, 500, 389, 389, 278, 500, 444, 667, 444, 444, 389, 400, 275, 400, 541, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 389, 500, 500, 167, 500, 500, 500, 500, 214, 556, 500, 333, 333, 500, 500, 500, 500, 500, 500, 250, 500, 523, 350, 333, 556, 556, 500, 889, 1000, 500, 500, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 889, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 889, 500, 276, 500, 500, 500, 500, 556, 722, 944, 310, 500, 500, 500, 500, 500, 667, 500, 500, 500, 278, 500, 500, 278, 500, 667, 500, )
PyChart-1.39/pychart/afm/Helvetica_Narrow_Bold.py 0000644 0001750 0001750 00000002732 10354321374 023445 0 ustar santiago santiago 0000000 0000000 # AFM font Helvetica-Narrow-Bold (path: /usr/share/fonts/afms/adobe/phvb8an.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Helvetica-Narrow-Bold"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 228, 273, 389, 456, 456, 729, 592, 228, 273, 273, 319, 479, 228, 273, 228, 228, 456, 456, 456, 456, 456, 456, 456, 456, 456, 456, 273, 273, 479, 479, 479, 501, 800, 592, 592, 592, 592, 547, 501, 638, 592, 228, 456, 592, 501, 683, 592, 638, 547, 638, 592, 547, 501, 592, 547, 774, 547, 547, 501, 273, 228, 273, 479, 456, 228, 456, 501, 456, 501, 456, 273, 501, 501, 228, 228, 456, 228, 729, 501, 501, 501, 501, 319, 456, 273, 501, 456, 638, 456, 456, 410, 319, 230, 319, 479, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 273, 456, 456, 137, 456, 456, 456, 456, 195, 410, 456, 273, 273, 501, 501, 500, 456, 456, 456, 228, 500, 456, 287, 228, 410, 410, 456, 820, 820, 500, 501, 500, 273, 273, 273, 273, 273, 273, 273, 273, 500, 273, 273, 500, 273, 273, 273, 820, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 820, 500, 303, 500, 500, 500, 500, 501, 638, 820, 299, 500, 500, 500, 500, 500, 729, 500, 500, 500, 228, 500, 500, 228, 501, 774, 501, )
PyChart-1.39/pychart/afm/Times_BoldItalic.py 0000644 0001750 0001750 00000002723 10354321374 022420 0 ustar santiago santiago 0000000 0000000 # AFM font Times-BoldItalic (path: /usr/share/fonts/afms/adobe/ptmbi8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Times-BoldItalic"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 250, 389, 555, 500, 500, 833, 778, 333, 333, 333, 500, 570, 250, 333, 250, 278, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 333, 333, 570, 570, 570, 500, 832, 667, 667, 667, 722, 667, 667, 722, 778, 389, 500, 667, 611, 889, 722, 722, 611, 722, 667, 556, 611, 722, 667, 889, 667, 611, 611, 333, 278, 333, 570, 500, 333, 500, 500, 444, 500, 444, 333, 500, 556, 278, 278, 500, 278, 778, 556, 500, 500, 500, 389, 389, 278, 556, 444, 667, 500, 444, 389, 348, 220, 348, 570, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 389, 500, 500, 167, 500, 500, 500, 500, 278, 500, 500, 333, 333, 556, 556, 500, 500, 500, 500, 250, 500, 500, 350, 333, 500, 500, 500, 1000, 1000, 500, 500, 500, 333, 333, 333, 333, 333, 333, 333, 333, 500, 333, 333, 500, 333, 333, 333, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 944, 500, 266, 500, 500, 500, 500, 611, 722, 944, 300, 500, 500, 500, 500, 500, 722, 500, 500, 500, 278, 500, 500, 278, 500, 722, 500, )
PyChart-1.39/pychart/afm/Utopia_Italic.py 0000644 0001750 0001750 00000002716 10354321374 022001 0 ustar santiago santiago 0000000 0000000 # AFM font Utopia-Italic (path: /usr/share/fonts/afms/adobe/putri8a.afm).
# Derived from Ghostscript distribution.
# Go to www.cs.wisc.edu/~ghost to get the Ghostcript source code.
import dir
dir.afm["Utopia-Italic"] = (500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 225, 240, 402, 530, 530, 826, 725, 216, 350, 350, 412, 570, 265, 392, 265, 270, 530, 530, 530, 530, 530, 530, 530, 530, 530, 530, 265, 265, 570, 570, 570, 425, 794, 624, 632, 661, 763, 596, 571, 709, 775, 345, 352, 650, 565, 920, 763, 753, 614, 753, 640, 533, 606, 794, 637, 946, 632, 591, 622, 330, 390, 330, 570, 500, 216, 561, 559, 441, 587, 453, 315, 499, 607, 317, 309, 545, 306, 912, 618, 537, 590, 559, 402, 389, 341, 618, 510, 785, 516, 468, 468, 340, 270, 340, 570, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 240, 530, 530, 100, 530, 530, 530, 530, 216, 402, 462, 277, 277, 607, 603, 500, 500, 500, 490, 265, 500, 560, 500, 216, 402, 402, 462, 1000, 1200, 500, 425, 500, 400, 400, 400, 400, 400, 400, 402, 400, 500, 400, 400, 500, 400, 350, 400, 1000, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 500, 880, 500, 425, 500, 500, 500, 500, 571, 753, 1020, 389, 500, 500, 500, 500, 500, 779, 500, 500, 500, 317, 500, 500, 318, 537, 806, 577, )
PyChart-1.39/pychart/color_doc.py 0000644 0001750 0001750 00000000067 10354321374 020450 0 ustar santiago santiago 0000000 0000000 # automatically generated by generate_docs.py.
doc=" "
PyChart-1.39/pychart/log_coord.py 0000644 0001750 0001750 00000002755 10354321345 020460 0 ustar santiago santiago 0000000 0000000 #
# Copyright (C) 2000-2005 by Yasushi Saito (yasushi.saito@gmail.com)
#
# Jockey is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2, or (at your option) any
# later version.
#
# Jockey is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
import coord
import math
class T(coord.T):
def get_canvas_pos(self, size, val, min, max):
if val <= 0:
return 0
xminl = math.log(min)
xmaxl = math.log(max)
vl = math.log(val)
return size * (vl-xminl) / float(xmaxl-xminl)
def get_tics(self, min, max, interval):
"Generate the list of places for drawing tick marks."
v = []
if min <= 0:
raise Exception, "Min value (%s) < 0 in a log coordinate." % min
x = min
while x <= max:
v.append(x)
x = x * interval
return v
def get_min_max(self, dmin, dmax, interval):
interval = interval or 10
dmin = max(0, dmin) # we can't have a negative value with a log scale.
v = 1.0
while v > dmin:
v = v / interval
dmin = v
v = 1.0
while v < dmax:
v = v * interval
dmax = v
return dmin, dmax, interval
PyChart-1.39/pychart/axis_doc.py 0000644 0001750 0001750 00000000103 10354321374 020265 0 ustar santiago santiago 0000000 0000000 # automatically generated by generate_docs.py.
doc_x=" "
doc_y=" "
PyChart-1.39/pychart/object_set.py 0000644 0001750 0001750 00000002431 10354321345 020621 0 ustar santiago santiago 0000000 0000000 #
# Copyright (C) 2000-2005 by Yasushi Saito (yasushi.saito@gmail.com)
#
# Jockey is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2, or (at your option) any
# later version.
#
# Jockey is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
class T(object):
def __init__(self, *objs):
self.__objs = list(objs)
def add(self, *objs):
self.__objs.extend(objs)
def add_objects(self, objs):
self.__objs.extend(objs)
def iterate(self):
return Iterator(self)
def list(self):
return self.__objs
def __getitem__(self, idx):
return self.__objs[idx]
def nth(self, idx):
return self.__objs[idx]
class Iterator(object):
def __init__(self, set_):
self.__set = set_
self.__idx = 0
def reset(self):
self.__idx = 0
def next(self):
val = self.__set.nth(self.__idx)
self.__idx += 1
if self.__idx >= len(self.__set.list()):
self.__idx = 0
return val
PyChart-1.39/pychart/canvas.py 0000644 0001750 0001750 00000007651 10352115032 017754 0 ustar santiago santiago 0000000 0000000 #
# Copyright (C) 2000-2005 by Yasushi Saito (yasushi.saito@gmail.com)
#
# Jockey is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2, or (at your option) any
# later version.
#
# Jockey is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
import sys
import basecanvas
import pscanvas
import pdfcanvas
import svgcanvas
import pngcanvas
import x11canvas
import theme
import re
invalid_coord = -999999
_oldexitfunc = None
T = basecanvas.T
def init(fname = None, format = None):
"""This is a "factory" procedure that creates a new canvas.T object.
Both parameters, and
, are optional. Parameter specifies either the output
file name or a file object. Parameter , if specified, defines the
file's format. Its value must be one of "ps", "pdf", "svg", "x11", or
"png".
When is omitted or is None, the output is sent to standard
output. When is omitted, it is guessed from the 's
suffix; failing that, "ps" is selected."""
fname = fname or theme.output_file
format = format or theme.output_format
if format == None:
if not isinstance(fname, str):
format = "ps"
elif re.search("pdf$", fname):
format = "pdf"
elif re.search("png$", fname):
format = "png"
elif re.search("svg$", fname):
format = "svg"
else:
format = "ps"
if format == "ps":
can = pscanvas.T(fname)
elif format == "png":
can = pngcanvas.T(fname)
elif format == "x11":
can = x11canvas.T(fname)
elif format == "svg":
can = svgcanvas.T(fname)
elif format == "pdf-uncompressed":
can = pdfcanvas.T(fname, False)
else:
can = pdfcanvas.T(fname, theme.compress_output)
return can
def default_canvas():
if len(basecanvas.active_canvases) > 0:
return basecanvas.active_canvases[0]
else:
return init(None)
def _exit():
global _oldexitfunc, _active_canvases
for can in basecanvas.active_canvases[:]:
can.close()
if _oldexitfunc:
foo = _oldexitfunc
_oldexitfunc = None
foo()
#
# The following procedures are there just for backward compatibility.
#
def line(style, x1, y1, x2, y2):
default_canvas().line(style, x1, y1, x2, y2)
def curve(style, points):
default_canvas().curve(style, points)
def clip(x1, y1, x2, y2):
default_canvas().clip(x1, y1, x2, y2)
def endclip():
default_canvas().endclip()
def clip_polygon(points):
default_canvas().clip_polygon(points)
def clip_ellipsis(x, y, radius, ratio = 1.0):
default_canvas().clip_ellipsis(x, y, radius, ratio)
def ellipsis(line_style, pattern, x, y, radius, ratio = 1.0,
start_angle=0, end_angle=360, shadow=None):
default_canvas().ellipsis(line_style, pattern, x, y, radius, ratio,
start_angle, end_angle, shadow)
def rectangle(edge_style, pat, x1, y1, x2, y2, shadow = None):
default_canvas().rectangle(edge_style, pat, x1, y1, x2, y2, shadow)
def polygon(edge_style, pat, points, shadow = None):
default_canvas().polygon(edge_style, pat, points, shadow = None)
def close():
default_canvas().close()
def round_rectangle(style, fill, x1, y1, x2, y2, radius, shadow=None):
default_canvas().round_rectangle(style, fill, x1, y1, x2, y2, radius, shadow)
def show(x, y, str):
default_canvas().show(x, y, str)
if not vars(sys).has_key("exitfunc"):
sys.exitfunc = _exit
elif sys.exitfunc != _exit:
_oldexitfunc = sys.exitfunc
sys.exitfunc = _exit
#theme.add_reinitialization_hook(lambda: init(None))
PyChart-1.39/pychart/generate_docs.py 0000644 0001750 0001750 00000007134 10354321416 021306 0 ustar santiago santiago 0000000 0000000 #
# Copyright (C) 2000-2005 by Yasushi Saito (yasushi.saito@gmail.com)
#
# Jockey is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2, or (at your option) any
# later version.
#
# Jockey is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
import doc_support
import sys
import re
import os
import area
import arrow
import axis
import bar_plot
import line_plot
import pie_plot
import color
import error_bar
import fill_style
import font
import text_box
import line_style
import legend
import range_plot
import tick_mark
indent = 4
max_line_len = 64
def format_paragraph(fp, str):
line_len = indent
fp.write(" " * indent)
for word in str.split():
if line_len >= max_line_len:
fp.write("\n")
fp.write(" " * indent)
line_len = indent
fp.write(word + " ")
line_len += len(word) + 1
def format_string(fp, str):
str = re.sub("<<([^>]+)>>", "See also pychart.\\1", str)
str2 = ""
in_example = 0
for l in str.split("\n"):
if re.match("@example", l):
in_example = 1
if re.match("@end example", l):
in_example = 0
if in_example:
str2 += l
else:
l = re.sub("^[ \t]*", "", l)
str2 += l
str2 += "\n"
fname = os.tempnam()
out_fp = open(fname, "w")
out_fp.write(str2)
out_fp.close()
in_fp = os.popen("makeinfo --fill-column=64 --no-headers " + fname, "r")
for l in in_fp.readlines():
fp.write(" " * indent)
fp.write(l)
in_fp.close()
os.remove(fname)
def generate_doc(c, name, suffix="", append = 0):
if append:
fp = open(name + "_doc.py", "a+")
else:
fp = open(name + "_doc.py", "w")
fp.write("# automatically generated by generate_docs.py.\n")
fp.write("doc" + suffix + "=\"\"\"Attributes supported by this class are:\n")
for key in c.keys.keys():
val=c.keys[key]
desc = ""
defaultValDesc = None
if len(val) > 3:
desc = val[3]
if len(val) > 4:
defaultValDesc = val[4]
fp.write(key + "(type:" + doc_support.stringify_type(val[0]))
if defaultValDesc:
fp.write(") default:" + defaultValDesc)
else:
fp.write(") default=" + str(doc_support.stringify_value(val[2])) + ".\n")
format_string(fp, desc)
fp.write("\"\"\"\n\n")
fp.close()
generate_doc(arrow.T, "arrow")
generate_doc(area.T, "area")
generate_doc(axis.X, "axis", "_x")
generate_doc(axis.Y, "axis", "_y", 1)
generate_doc(bar_plot.T, "bar_plot")
generate_doc(line_plot.T, "line_plot")
generate_doc(pie_plot.T, "pie_plot")
generate_doc(color.T, "color")
generate_doc(error_bar.error_bar1, "error_bar","_1")
generate_doc(error_bar.error_bar2, "error_bar", "_2", 1)
generate_doc(error_bar.error_bar3, "error_bar", "_3", 1)
generate_doc(error_bar.error_bar4, "error_bar", "_4", 1)
generate_doc(error_bar.error_bar5, "error_bar", "_5", 1)
generate_doc(error_bar.error_bar6, "error_bar", "_6", 1)
generate_doc(fill_style.T, "fill_style")
generate_doc(text_box.T, "text_box")
generate_doc(range_plot.T, "range_plot")
generate_doc(legend.T, "legend")
generate_doc(legend.Entry, "legend", "_entry", 1)
generate_doc(line_style.T, "line_style")
generate_doc(tick_mark.T, "tick_mark")
PyChart-1.39/pychart/doc_support.py 0000644 0001750 0001750 00000006343 10354321374 021051 0 ustar santiago santiago 0000000 0000000 #
# Copyright (C) 2000-2005 by Yasushi Saito (yasushi.saito@gmail.com)
#
# Jockey is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2, or (at your option) any
# later version.
#
# Jockey is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
import sys
import re
import os.path
from pychart import *
from types import *
from pychart.pychart_types import *
oldstdout = sys.stdout
if os.path.exists("/dev/null"):
sys.stdout = open("/dev/null", "w")
modules = {}
values = []
sys.stdout = oldstdout
g = globals()
for mod in g.keys():
val = g[mod]
if type(val) == ModuleType:
dic = {}
for name in val.__dict__.keys():
v = val.__dict__[name]
if name[0] != '_':
values.append((v, mod + "." + name))
if type(v) == type and issubclass(v, chart_object.T):
dic[name] = v
modules[mod] = dic
def stringify_type(t):
s = str(t)
if t == AnyType:
return "any"
if t == ShadowType:
return "(xoff,yoff,fill)"
elif re.search("NumberType", s):
return "number"
elif re.search("UnitType", s):
return 'length in points (\\xref{unit})'
elif re.search("CoordType", s):
return "(x,y) or None"
elif re.search("CoordSystemType", s):
return "['linear'|'log'|'category']"
elif re.search("TextAlignType", s):
return "['R'|'L'|'C'|None]"
elif re.search("FormatType", s):
return "printf format string"
elif re.search("IntervalType", s):
return "number or function"
mo = re.match("", s)
if mo:
return mo.group(1)
mo = re.match("", s)
if mo:
return mo.group(1)
mo = re.match("", s)
if mo:
return mo.group(1)
mo = re.match("pychart\\.(.*)", s)
if mo:
return mo.group(1)
return s
def stringify_value(val):
t = type(val)
if t == StringType:
return '"' + val + '"'
if t == bool:
if val: return "True"
else: return "False"
if t in (IntType, LongType, FloatType):
return str(val)
if val == None:
return "None"
if type(val) == ListType:
return map(stringify_value, val)
for pair in values:
if pair[0] == val:
return pair[1]
return str(val)
def break_string(name):
max_len = 10
if len(name) < max_len:
return name
name = re.sub("(\\d\\d)([^\\d])", "\\1-\n\\2", name)
name = re.sub("black(.)", "black-\n\\1", name)
elems = name.split("\n")
while 1:
broken = 0
for i in range(len(elems)):
elem = elems[i]
if len(elem) < max_len:
continue
broken = 1
elem1 = elem[0:len(elem)/2]
elem2 = elem[len(elem)/2:]
elems[i:i+1] = [elem1, elem2]
break
if not broken:
break
name = "\n".join(elems)
return name
PyChart-1.39/pychart/pychart_types.py 0000644 0001750 0001750 00000003370 10354321374 021403 0 ustar santiago santiago 0000000 0000000 #
# Copyright (C) 2000-2005 by Yasushi Saito (yasushi.saito@gmail.com)
#
# Jockey is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2, or (at your option) any
# later version.
#
# Jockey is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
import pychart_util
import types
AnyType = 9998
def IntervalType(val):
if type(val) in (types.IntType, types.LongType,
types.FloatType, types.FunctionType):
return None
return "Expecting a number or a function"
def CoordType(val):
if type(val) not in (types.TupleType, types.ListType):
return "Expecting a tuple or a list"
if len(val) != 2:
return "Coordinate must be a pair of numbers"
for v in val:
if v != None and NumberType(v):
return "Expecting a pair of numbers (got %s)" % str(v)
return None
def NumberType(val):
if type(val) in (types.IntType, types.LongType, types.FloatType):
return None
else:
return "Expecting a number"
def UnitType(val):
if type(val) in (types.IntType, types.LongType, types.FloatType):
return
else:
return "Expecting a unit"
def ShadowType(val):
if type(val) not in (types.TupleType, types.ListType):
return "Expecting tuple or list."
if len(val) != 3:
return "Expecting (xoff, yoff, fill)."
return None
def FormatType(val):
if type(val) in (types.StringType, types.FunctionType):
return None
return "Format must be a string or a function"
PyChart-1.39/pychart/tick_mark_doc.py 0000644 0001750 0001750 00000000067 10354321374 021276 0 ustar santiago santiago 0000000 0000000 # automatically generated by generate_docs.py.
doc=" "
PyChart-1.39/pychart/range_plot_doc.py 0000644 0001750 0001750 00000000067 10354321374 021464 0 ustar santiago santiago 0000000 0000000 # automatically generated by generate_docs.py.
doc=" "
PyChart-1.39/pychart/chart_object.py 0000644 0001750 0001750 00000006163 10352121432 021126 0 ustar santiago santiago 0000000 0000000 #
# Copyright (C) 2000-2005 by Yasushi Saito (yasushi.saito@gmail.com)
#
# Jockey is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2, or (at your option) any
# later version.
#
# Jockey is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
import pychart_types
import types
def set_defaults(cls, **dict):
validAttrs = getattr(cls, "keys")
for attr, val in dict.items():
if not validAttrs.has_key(attr):
raise Exception, "%s: unknown attribute %s." % (cls, attr)
tuple = list(validAttrs[attr])
# 0 : type
# 1: defaultValue
# 2: document
# 3: defaultValue document (optional)
tuple[1] = val
validAttrs[attr] = tuple
class T(object):
def init(self, args):
keys = self.keys
for attr, tuple in keys.items():
defaultVal = tuple[1]
if isinstance(defaultVal, types.FunctionType):
# if the value is procedure, use the result of the proc call
# as the default value
defaultVal = apply(defaultVal, ())
setattr(self, attr, defaultVal)
for key, val in args.items():
self.__setattr__(key, val)
def __check_type(self, item, value):
if item.startswith("_"):
return
if not self.keys.has_key(item):
raise Exception, "%s: unknown attribute '%s'" % (self, item)
typeval, default_value, docstring = self.keys[item][0:3]
if value == None or typeval == pychart_types.AnyType:
pass
elif typeval == bool:
# In 2.3, bool is a full-fledged type, whereas
# in 2.2, it's just a function that returns an integer.
# To mask this difference, we handle the bool type specially.
if value not in (True, False):
raise TypeError, "%s: Expecting bool, but got %s" % (self, value)
elif typeval == str:
if not isinstance(value, str) and not isinstance(value, unicode):
raise TypeError, "%s: Expecting a string, but got %s" % (self, value)
elif isinstance(typeval, types.FunctionType):
# user-defined check procedure
error = apply(typeval, (value,))
if error != None:
raise TypeError, "%s: %s for attribute '%s', but got '%s'" % (self, error, item, value)
elif isinstance(value, typeval):
pass
else:
raise TypeError, "%s: Expecting type %s, but got %s (attr=%s, %s)" % (self, typeval, value, item, self.keys[item])
def __init__(self, **args):
self.init(args)
def __setattr__(self, item, value):
self.__check_type(item, value)
self.__dict__[item] = value
def check_integrity(self):
for attr, value in self.__dict__.items():
self.__check_type(attr, value)
return True
PyChart-1.39/pychart/axis_x_doc.py 0000644 0001750 0001750 00000005240 10354321345 020621 0 ustar santiago santiago 0000000 0000000 #
# Copyright (C) 2000-2005 by Yasushi Saito (yasushi.saito@gmail.com)
#
# Jockey is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2, or (at your option) any
# later version.
#
# Jockey is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
doc="""Attributes supported by this class are:
tic_label_offset(type:(x,y)):
The location where the tick labels is drawn. Relative to the
tip of the tick mark.
default value=(0, 0).
format(type:printf format string):
The format string for tick labels. It can be a `printf' style
format string, or a single-parameter function that returns a
string. See also font.
default value=%s.
minor_tic_len(type:number):
The length of minor tick marks.
default value=3.
label_offset(type:(x,y) or None):
The location where the axis label is drawn. Relative to the
left-bottom corner of the axis.
default value=(None, None).
grid_interval(type:Number or function):
When the value is a number, it specifies the interval with which
grid lines are drawn. Otherwise, the value must be a function.
It must take no argument and return the list of numbers, which
specifies the X or Y points where grid lines are drawn.
default value=None.
label(type:str):
The description of the axis. See also font.
default value=axis label.
grid_style(type:line_style.T):
The style of grid lines.
default value=None.
tic_interval(type:Number or function):
When the value is a number, it specifies the interval with which
tick marks are drawn. Otherwise, the value must be a function.
It must take no argument and return the list of numbers, which
specifies the X or Y points where tick marks are drawn.
default value=None.
line_style(type:line_style.T):
The style of tick lines.
default value=default.
tic_len(type:number):
The length of tick lines
default value=6.
minor_tic_interval(type:Number or function):
When the value is a number, it specifies the interval with which
minor tick marks are drawn. Otherwise, the value must be a function.
It must take no argument and return the list of numbers, which
specifies the X or Y points where minor tick marks are drawn.
default value=None.
first_tic_value(type:number):
The location of the first tick mark. Defaults to the x_range[0]
(or y_range[0]) of the area.
default value=None.
""" PyChart-1.39/pychart/typechecker.py 0000644 0001750 0001750 00000001756 10354321345 021017 0 ustar santiago santiago 0000000 0000000 #
# Copyright (C) 2000-2005 by Yasushi Saito (yasushi.saito@gmail.com)
#
# Jockey is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2, or (at your option) any
# later version.
#
# Jockey is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
import types
class IntervalTypeClass:
def typeCheck(self, val):
if type(val) in (types.IntType, types.LongType, types.FloatType,
types.FunctionType):
return None
return "Expecting a number or a function, but received '%s'", val
def typeDescription(self):
return "A number or function"
def varDescription(self, name):
return "A number or function"
IntervalType = IntervalTypeClass()
PyChart-1.39/pychart/line_style_doc.py 0000644 0001750 0001750 00000000067 10354321374 021501 0 ustar santiago santiago 0000000 0000000 # automatically generated by generate_docs.py.
doc=" "
PyChart-1.39/pychart/error_bar_doc.py 0000644 0001750 0001750 00000000153 10354321374 021303 0 ustar santiago santiago 0000000 0000000 # automatically generated by generate_docs.py.
doc_1=" "
doc_2=" "
doc_3=" "
doc_4=" "
doc_5=" "
doc_6=" "
PyChart-1.39/pychart/pychart_util.py 0000644 0001750 0001750 00000010457 10354321345 021216 0 ustar santiago santiago 0000000 0000000 #
# Copyright (C) 2000-2005 by Yasushi Saito (yasushi.saito@gmail.com)
#
# Jockey is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2, or (at your option) any
# later version.
#
# Jockey is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
import sys
import math
import types
import traceback
from types import *
def inch_to_point(inch):
return inch * 72.0
def point_to_inch(pt):
return float(pt) / 72.0
def rotate(x, y, degree):
"""Rotate a coordinate around point (0,0).
- x and y specify the coordinate.
- degree is a number from 0 to 360.
Returns a new coordinate.
"""
radian = float(degree) * 2 * math.pi / 360.0
newx = math.cos(radian) * x - math.sin(radian) * y
newy = math.sin(radian) * x + math.cos(radian) * y
return (newx, newy)
debug_level = 1
def warn(*strs):
for s in strs:
sys.stderr.write(str(s))
sys.stderr.write(" ")
sys.stderr.write("\n")
def info(*strs):
if debug_level < 100:
return
for s in strs:
sys.stderr.write(str(s))
sys.stderr.write("\n")
def get_sample_val(l, col):
if len(l) <= col:
return None
return l[col]
def get_data_list(data, col):
# data = [ elem[col] for elem in data if elem[col] != None ]
r = []
for item in data:
val = get_sample_val(item, col)
if val != None:
r.append(val)
return r
def get_data_range(data, col):
data = get_data_list(data, col)
for item in data:
if type(item) not in (types.IntType, types.LongType, types.FloatType):
raise TypeError, "Non-number passed to data: %s" % (data)
return (min(data), max(data))
def round_down(val, bound):
return int(val/float(bound)) * bound
def round_up(val, bound):
return (int((val-1)/float(bound))+1) * bound
#
# Attribute type checking stuff
#
def new_list():
return []
def union_dict(dict1, dict2):
dict = dict1.copy()
dict.update(dict2)
return dict
def TextVAlignType(val):
if val in ('T', 'B', 'M', None):
return None
return "Text vertical alignment must be one of T(op), B(ottom), or M(iddle).\n"
def TextAlignType(val):
if val in ('C', 'R', 'L', None):
return None
return "Text horizontal alignment must be one of C(enter), R(ight), or L(eft)."
def apply_format(format, val, defaultidx):
if format == None:
return None
elif type(format) == StringType:
return format % val[defaultidx]
else:
return apply(format, val)
data_desc = "Specifies the data points. <>"
label_desc = "The label to be displayed in the legend. <>, <>"
xcol_desc = """The column, within attribute "data", from which the X values of sample points are extracted. <>"""
ycol_desc = """The column, within attribute "data", from which the Y values of sample points are extracted. <>"""
tick_mark_desc = "Tick marks to be displayed at each sample point. <>"
line_desc="The style of the line. "
def interval_desc(w):
return "When the value is a number, it specifies the interval at which %s are drawn. Otherwise, the value must be a function that takes two arguments, min and max X (or Y) values. It must return a list of numbers that specify the X or Y points at which %s are drawn." % (w,w)
shadow_desc = """The value is either None or a tuple. When non-None,
a drop-shadow is drawn beneath the object. X-off, and y-off specifies the
offset of the shadow relative to the object, and fill specifies the
style of the shadow (@pxref{module-fill-style})."""
string_desc = """The appearance of the string produced here can be
controlled using escape sequences. <>"""
#
#
class symbol_lookup_table:
def __init__(self, dict, objs):
self.names = {}
for name, val in dict.items():
for obj in objs.list():
if val == obj:
self.names[val] = name
break
def lookup(self, obj):
if self.names.has_key(obj):
return self.names[obj]
return None
PyChart-1.39/pychart/fill_style_doc.py 0000644 0001750 0001750 00000000067 10354321374 021500 0 ustar santiago santiago 0000000 0000000 # automatically generated by generate_docs.py.
doc=" "
PyChart-1.39/pychart/line_style.py 0000644 0001750 0001750 00000013202 10354321345 020645 0 ustar santiago santiago 0000000 0000000 #
# Copyright (C) 2000-2005 by Yasushi Saito (yasushi.saito@gmail.com)
#
# Jockey is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2, or (at your option) any
# later version.
#
# Jockey is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
import color
import pychart_util
import chart_object
import object_set
import theme
import line_style_doc
from pychart_types import *
from types import *
_keys = {
"width" : (UnitType, theme.default_line_width, "Width of the line, in points."),
"color": (color.T, color.default, "The color of the line."),
"dash" : (TupleType, None,
"""The value
of None will draw a solid line. Otherwise, this
attribute specifies the style of dashed lines.
The 2N'th value specifies the length of the line (in points),
and 2N+1'th value specifies the length of the blank.
For example, the dash style of (3,2,4,1) draws a dashed line that
looks like @samp{---__----_---__----_...}.
"""),
"cap_style": (IntType, 0,
"""Defines the style of the tip of the line segment.
0: butt cap (square cutoff, with no projection beyond),
1: round cap (arc), 2: projecting square cap
(square cutoff, but the line extends half the line width).
See also Postscript/PDF reference manual."""),
"join_style": (IntType, 0,
"""Join style. 0: Miter join (sharp, pointed corners),
1: round join (rounded corners),
2: bevel join (flattened corners).
See also Postscript/PDF reference manual.""")
}
class T(chart_object.T):
__doc__ = line_style_doc.doc
keys = _keys
##AUTOMATICALLY GENERATED
##END AUTOMATICALLY GENERATED
def __str__(self):
s = name_table().lookup(self)
if s:
return s
return "" \
% (self.width, self.color, self.dash, self.cap_style, self.join_style)
default = T(color=color.default)
dash1 = 1.5,1.5 # - - - -
dash2 = 5,2,5,2 # -- -- -- --
dash3 = 1,1
black = T(color=color.black)
black_dash1 = T(color=color.black, dash=dash1)
black_dash2 = T(color=color.black, dash=dash2)
black_dash3 = T(color=color.black, dash=dash3)
gray70 = T(color=color.gray70)
gray70_dash1 = T(color=color.gray70, dash=dash1)
gray70_dash2 = T(color=color.gray70, dash=dash2)
gray70_dash3 = T(color=color.gray70, dash=dash3)
gray10 = T(color=color.gray10)
gray10_dash1 = T(color=color.gray10, dash=dash1)
gray10_dash2 = T(color=color.gray10, dash=dash2)
gray10_dash3 = T(color=color.gray10, dash=dash3)
gray50 = T(color=color.gray50)
gray50_dash1 = T(color=color.gray50, dash=dash1)
gray50_dash2 = T(color=color.gray50, dash=dash2)
gray50_dash3 = T(color=color.gray50, dash=dash3)
gray60 = T(color=color.gray60)
gray60_dash1 = T(color=color.gray60, dash=dash1)
gray60_dash2 = T(color=color.gray60, dash=dash2)
gray60_dash3 = T(color=color.gray60, dash=dash3)
gray90 = T(color=color.gray90)
gray90_dash1 = T(color=color.gray90, dash=dash1)
gray90_dash2 = T(color=color.gray90, dash=dash2)
gray90_dash3 = T(color=color.gray90, dash=dash3)
gray30 = T(color=color.gray30)
gray30_dash1 = T(color=color.gray30, dash=dash1)
gray30_dash2 = T(color=color.gray30, dash=dash2)
gray30_dash3 = T(color=color.gray30, dash=dash3)
white = T(color=color.white)
default = black
red = T(color=color.red)
darkblue = T(color=color.darkblue)
darkseagreen = T(color=color.darkseagreen)
darkkhaki = T(color = color.darkkhaki)
blue = T(color=color.blue)
green = T(color=color.green)
red_dash1 = T(color=color.red, dash=dash1)
darkblue_dash1 = T(color=color.darkblue, dash=dash1)
darkseagreen_dash1 = T(color=color.darkseagreen, dash=dash1)
darkkhaki_dash1 = T(color=color.darkkhaki, dash=dash1)
red_dash2 = T(color=color.red, dash=dash2)
darkblue_dash2 = T(color=color.darkblue, dash=dash2)
darkseagreen_dash2 = T(color=color.darkseagreen, dash=dash2)
darkkhaki_dash2 = T(color=color.darkkhaki, dash=dash2)
standards = None
_name_table = None
def init():
global standards, _name_table
standards = object_set.T()
if theme.use_color:
standards.add(black, red, darkblue, gray70, darkseagreen,
darkkhaki, gray30,
black_dash1, red_dash1, darkblue_dash1, gray70_dash1,
darkseagreen_dash1, darkkhaki_dash1, gray30_dash1,
black_dash2, red_dash2, darkblue_dash2, gray70_dash2,
darkseagreen_dash2, darkkhaki_dash2, gray30_dash2)
else:
standards.add(black, black_dash1, black_dash2,
gray70, gray70_dash1, gray70_dash2,
gray10, gray10_dash1, gray10_dash2,
gray50, gray50_dash1, gray50_dash2,
gray90, gray90_dash1, gray90_dash2,
gray30, gray30_dash1, gray30_dash2,
black_dash3,
gray70_dash3, gray10_dash3, gray50_dash3, gray90_dash3)
for style in standards.list():
style.width = theme.default_line_width
_name_table = None
def name_table():
global _name_table
if not _name_table:
_name_table = pychart_util.symbol_lookup_table(globals(), standards)
return _name_table
init()
theme.add_reinitialization_hook(init)
PyChart-1.39/pychart/pie_plot_doc.py 0000644 0001750 0001750 00000000067 10354321374 021145 0 ustar santiago santiago 0000000 0000000 # automatically generated by generate_docs.py.
doc=" "
PyChart-1.39/pychart/text_box.py 0000644 0001750 0001750 00000014120 10354321345 020332 0 ustar santiago santiago 0000000 0000000 #
# Copyright (C) 2000-2005 by Yasushi Saito (yasushi.saito@gmail.com)
#
# Jockey is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2, or (at your option) any
# later version.
#
# Jockey is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
import canvas
import line_style
import pychart_util
import fill_style
import font
import chart_object
import color
import arrow
import text_box_doc
from pychart_types import *
from types import *
class T(chart_object.T):
__doc__ = text_box_doc.doc
keys = {"text": (StringType, "???", "Text body. <
n
