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‎.gitattributes‎

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* text=auto

‎.gitignore‎

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# Editor temporary/working/backup files #
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#########################################
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.#*
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[#]*#
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*~
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*$
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*.bak
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# Compiled source #
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###################
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*.a
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*.com
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*.class
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*.dll
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*.exe
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*.o
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*.py[ocd]
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*.so
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# Python files #
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################
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# setup.py working directory
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build
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# sphinx build directory
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doc/_build
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# setup.py dist directory
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dist
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# Egg metadata
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*.egg-info
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# OS generated files #
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######################
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.gdb_history
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.DS_Store?
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ehthumbs.db
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Icon?
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Thumbs.db
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# Things specific to this project #
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###################################
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lib/matplotlib/mpl-data/matplotlib.conf
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lib/matplotlib/mpl-data/matplotlibrc

‎doc/devel/add_new_projection.rst‎

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.. _adding-new-scales:
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***********************************************
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Adding new scales and projections to matplotlib
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***********************************************
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.. ::author Michael Droettboom
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9-
Matplotlib supports the addition of custom procedures that transform
10-
the data before it is displayed.
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12-
There is an important distinction between two kinds of
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transformations. Separable transformations, working on a single
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dimension, are called "scales", and non-separable transformations,
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that handle data in two or more dimensions at a time, are called
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"projections".
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18-
From the user's perspective, the scale of a plot can be set with
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:meth:`~matplotlib.axes.Axes.set_xscale` and
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:meth:`~matplotlib.axes.Axes.set_xscale`. Projections can be chosen
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using the ``projection`` keyword argument to the
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:func:`~matplotlib.pylab.plot` or :func:`~matplotlib.pylab.subplot`
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functions, e.g.::
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plot(x, y, projection="custom")
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This document is intended for developers and advanced users who need
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to create new scales and projections for matplotlib. The necessary
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code for scales and projections can be included anywhere: directly
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within a plot script, in third-party code, or in the matplotlib source
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tree itself.
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33-
.. _creating-new-scale:
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35-
Creating a new scale
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====================
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38-
Adding a new scale consists of defining a subclass of
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:class:`matplotlib.scale.ScaleBase`, that includes the following
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elements:
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- A transformation from data coordinates into display coordinates.
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- An inverse of that transformation. This is used, for example, to
45-
convert mouse positions from screen space back into data space.
46-
47-
- A function to limit the range of the axis to acceptable values
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(``limit_range_for_scale()``). A log scale, for instance, would
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prevent the range from including values less than or equal to
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zero.
51-
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- Locators (major and minor) that determine where to place ticks in
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the plot, and optionally, how to adjust the limits of the plot to
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some "good" values. Unlike ``limit_range_for_scale()``, which is
55-
always enforced, the range setting here is only used when
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automatically setting the range of the plot.
57-
58-
- Formatters (major and minor) that specify how the tick labels
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should be drawn.
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Once the class is defined, it must be registered with matplotlib so
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that the user can select it.
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64-
A full-fledged and heavily annotated example is in
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:file:`examples/api/custom_scale_example.py`. There are also some classes
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in :mod:`matplotlib.scale` that may be used as starting points.
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68-
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.. _creating-new-projection:
70-
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Creating a new projection
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=========================
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Adding a new projection consists of defining a subclass of
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:class:`matplotlib.axes.Axes`, that includes the following elements:
76-
77-
- A transformation from data coordinates into display coordinates.
78-
79-
- An inverse of that transformation. This is used, for example, to
80-
convert mouse positions from screen space back into data space.
81-
82-
- Transformations for the gridlines, ticks and ticklabels. Custom
83-
projections will often need to place these elements in special
84-
locations, and matplotlib has a facility to help with doing so.
85-
86-
- Setting up default values (overriding
87-
:meth:`~matplotlib.axes.Axes.cla`), since the defaults for a
88-
rectilinear axes may not be appropriate.
89-
90-
- Defining the shape of the axes, for example, an elliptical axes,
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that will be used to draw the background of the plot and for
92-
clipping any data elements.
93-
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- Defining custom locators and formatters for the projection. For
95-
example, in a geographic projection, it may be more convenient to
96-
display the grid in degrees, even if the data is in radians.
97-
98-
- Set up interactive panning and zooming. This is left as an
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"advanced" feature left to the reader, but there is an example of
100-
this for polar plots in :mod:`matplotlib.projections.polar`.
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- Any additional methods for additional convenience or features.
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Once the class is defined, it must be registered with matplotlib
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so that the user can select it.
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A full-fledged and heavily annotated example is in
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:file:`examples/api/custom_projection_example.py`. The polar plot
109-
functionality in :mod:`matplotlib.projections.polar` may also be of
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interest.
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112-
API documentation
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=================
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115-
matplotlib.scale
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----------------
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.. automodule:: matplotlib.scale
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:members:
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:show-inheritance:
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matplotlib.projections
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----------------------
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.. automodule:: matplotlib.projections
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:members:
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:show-inheritance:
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matplotlib.projections.polar
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. automodule:: matplotlib.projections.polar
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:members:
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:show-inheritance:
1+
.. _adding-new-scales:
2+
3+
***********************************************
4+
Adding new scales and projections to matplotlib
5+
***********************************************
6+
7+
.. ::author Michael Droettboom
8+
9+
Matplotlib supports the addition of custom procedures that transform
10+
the data before it is displayed.
11+
12+
There is an important distinction between two kinds of
13+
transformations. Separable transformations, working on a single
14+
dimension, are called "scales", and non-separable transformations,
15+
that handle data in two or more dimensions at a time, are called
16+
"projections".
17+
18+
From the user's perspective, the scale of a plot can be set with
19+
:meth:`~matplotlib.axes.Axes.set_xscale` and
20+
:meth:`~matplotlib.axes.Axes.set_xscale`. Projections can be chosen
21+
using the ``projection`` keyword argument to the
22+
:func:`~matplotlib.pylab.plot` or :func:`~matplotlib.pylab.subplot`
23+
functions, e.g.::
24+
25+
plot(x, y, projection="custom")
26+
27+
This document is intended for developers and advanced users who need
28+
to create new scales and projections for matplotlib. The necessary
29+
code for scales and projections can be included anywhere: directly
30+
within a plot script, in third-party code, or in the matplotlib source
31+
tree itself.
32+
33+
.. _creating-new-scale:
34+
35+
Creating a new scale
36+
====================
37+
38+
Adding a new scale consists of defining a subclass of
39+
:class:`matplotlib.scale.ScaleBase`, that includes the following
40+
elements:
41+
42+
- A transformation from data coordinates into display coordinates.
43+
44+
- An inverse of that transformation. This is used, for example, to
45+
convert mouse positions from screen space back into data space.
46+
47+
- A function to limit the range of the axis to acceptable values
48+
(``limit_range_for_scale()``). A log scale, for instance, would
49+
prevent the range from including values less than or equal to
50+
zero.
51+
52+
- Locators (major and minor) that determine where to place ticks in
53+
the plot, and optionally, how to adjust the limits of the plot to
54+
some "good" values. Unlike ``limit_range_for_scale()``, which is
55+
always enforced, the range setting here is only used when
56+
automatically setting the range of the plot.
57+
58+
- Formatters (major and minor) that specify how the tick labels
59+
should be drawn.
60+
61+
Once the class is defined, it must be registered with matplotlib so
62+
that the user can select it.
63+
64+
A full-fledged and heavily annotated example is in
65+
:file:`examples/api/custom_scale_example.py`. There are also some classes
66+
in :mod:`matplotlib.scale` that may be used as starting points.
67+
68+
69+
.. _creating-new-projection:
70+
71+
Creating a new projection
72+
=========================
73+
74+
Adding a new projection consists of defining a subclass of
75+
:class:`matplotlib.axes.Axes`, that includes the following elements:
76+
77+
- A transformation from data coordinates into display coordinates.
78+
79+
- An inverse of that transformation. This is used, for example, to
80+
convert mouse positions from screen space back into data space.
81+
82+
- Transformations for the gridlines, ticks and ticklabels. Custom
83+
projections will often need to place these elements in special
84+
locations, and matplotlib has a facility to help with doing so.
85+
86+
- Setting up default values (overriding
87+
:meth:`~matplotlib.axes.Axes.cla`), since the defaults for a
88+
rectilinear axes may not be appropriate.
89+
90+
- Defining the shape of the axes, for example, an elliptical axes,
91+
that will be used to draw the background of the plot and for
92+
clipping any data elements.
93+
94+
- Defining custom locators and formatters for the projection. For
95+
example, in a geographic projection, it may be more convenient to
96+
display the grid in degrees, even if the data is in radians.
97+
98+
- Set up interactive panning and zooming. This is left as an
99+
"advanced" feature left to the reader, but there is an example of
100+
this for polar plots in :mod:`matplotlib.projections.polar`.
101+
102+
- Any additional methods for additional convenience or features.
103+
104+
Once the class is defined, it must be registered with matplotlib
105+
so that the user can select it.
106+
107+
A full-fledged and heavily annotated example is in
108+
:file:`examples/api/custom_projection_example.py`. The polar plot
109+
functionality in :mod:`matplotlib.projections.polar` may also be of
110+
interest.
111+
112+
API documentation
113+
=================
114+
115+
matplotlib.scale
116+
----------------
117+
118+
.. automodule:: matplotlib.scale
119+
:members:
120+
:show-inheritance:
121+
122+
matplotlib.projections
123+
----------------------
124+
125+
.. automodule:: matplotlib.projections
126+
:members:
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:show-inheritance:
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129+
matplotlib.projections.polar
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. automodule:: matplotlib.projections.polar
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:members:
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:show-inheritance:

‎examples/api/font_family_rc.py‎

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"""
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You can explicitly set which font family is picked up for a given font
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style (eg 'serif', 'sans-serif', or 'monospace').
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In the example below, we only allow one font family (Tahoma) for the
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san-serif font style. You the default family with the font.family rc
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param, eg::
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rcParams['font.family'] = 'sans-serif'
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and for the font.family you set a list of font styles to try to find
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in order::
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rcParams['font.sans-serif'] = ['Tahoma', 'Bitstream Vera Sans', 'Lucida Grande', 'Verdana']
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"""
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# -*- noplot -*-
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from matplotlib import rcParams
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rcParams['font.family'] = 'sans-serif'
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rcParams['font.sans-serif'] = ['Tahoma']
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import matplotlib.pyplot as plt
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fig = plt.figure()
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ax = fig.add_subplot(111)
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ax.plot([1,2,3], label='test')
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ax.legend()
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plt.show()
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1+
"""
2+
You can explicitly set which font family is picked up for a given font
3+
style (eg 'serif', 'sans-serif', or 'monospace').
4+
5+
In the example below, we only allow one font family (Tahoma) for the
6+
san-serif font style. You the default family with the font.family rc
7+
param, eg::
8+
9+
rcParams['font.family'] = 'sans-serif'
10+
11+
and for the font.family you set a list of font styles to try to find
12+
in order::
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rcParams['font.sans-serif'] = ['Tahoma', 'Bitstream Vera Sans', 'Lucida Grande', 'Verdana']
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16+
"""
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# -*- noplot -*-
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from matplotlib import rcParams
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rcParams['font.family'] = 'sans-serif'
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rcParams['font.sans-serif'] = ['Tahoma']
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import matplotlib.pyplot as plt
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fig = plt.figure()
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ax = fig.add_subplot(111)
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ax.plot([1,2,3], label='test')
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ax.legend()
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plt.show()
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