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SF.net SVN: matplotlib:[8771] trunk/matplotlib
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From: <jd...@us...> - 2010-11-04 21:11:58
|
Revision: 8771
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8771&view=rev
Author: jdh2358
Date: 2010-11-04 21:11:50 +0000 (Thu, 04 Nov 2010)
Log Message:
-----------
Merged revisions 8769-8770 via svnmerge from
https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/branches/v1_0_maint
........
r8769 | jdh2358 | 2010-11-04 11:28:03 -0700 (Thu, 04 Nov 2010) | 1 line
added recipes
........
r8770 | jdh2358 | 2010-11-04 13:50:49 -0700 (Thu, 04 Nov 2010) | 1 line
some updates to recipes
........
Modified Paths:
--------------
trunk/matplotlib/doc/users/index.rst
Added Paths:
-----------
trunk/matplotlib/doc/users/recipes.rst
Property Changed:
----------------
trunk/matplotlib/
trunk/matplotlib/doc/pyplots/README
trunk/matplotlib/doc/sphinxext/gen_gallery.py
trunk/matplotlib/doc/sphinxext/gen_rst.py
trunk/matplotlib/examples/misc/multiprocess.py
trunk/matplotlib/examples/mplot3d/contour3d_demo.py
trunk/matplotlib/examples/mplot3d/contourf3d_demo.py
trunk/matplotlib/examples/mplot3d/polys3d_demo.py
trunk/matplotlib/examples/mplot3d/scatter3d_demo.py
trunk/matplotlib/examples/mplot3d/surface3d_demo.py
trunk/matplotlib/examples/mplot3d/wire3d_demo.py
trunk/matplotlib/lib/matplotlib/sphinxext/mathmpl.py
trunk/matplotlib/lib/matplotlib/sphinxext/only_directives.py
trunk/matplotlib/lib/matplotlib/sphinxext/plot_directive.py
trunk/matplotlib/lib/matplotlib/tests/baseline_images/test_spines/spines_axes_positions.png
Property changes on: trunk/matplotlib
___________________________________________________________________
Modified: svnmerge-integrated
- /branches/mathtex:1-7263 /branches/v0_91_maint:1-6428 /branches/v0_98_5_maint:1-7253 /branches/v1_0_maint:1-8767 /trunk/matplotlib:1-7315
+ /trunk/matplotlib:1-7315 /branches/mathtex:1-7263 /branches/v0_91_maint:1-6428 /branches/v0_98_5_maint:1-7253 /branches/v1_0_maint:1-8770
Modified: svn:mergeinfo
- /branches/v0_91_maint:5753-5771
/branches/v0_98_5_maint:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
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/branches/v1_0_maint:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764
+ /branches/v0_91_maint:5753-5771
/branches/v0_98_5_maint:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6809,6811,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6906-6909,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
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Property changes on: trunk/matplotlib/doc/pyplots/README
___________________________________________________________________
Modified: svn:mergeinfo
- /branches/v0_98_5_maint/doc/pyplots/README:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
/branches/v0_99_maint/doc/pyplots/README:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
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+ /branches/v0_98_5_maint/doc/pyplots/README:6581,6585,6587,6589-6609,6614,6616,6625,6652,6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
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/branches/v1_0_maint/doc/pyplots/README:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770
Property changes on: trunk/matplotlib/doc/sphinxext/gen_gallery.py
___________________________________________________________________
Modified: svn:mergeinfo
- /branches/v0_91_maint/doc/_templates/gen_gallery.py:5753-5771
/branches/v0_98_5_maint/doc/sphinxext/gen_gallery.py:6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
/branches/v0_99_maint/doc/sphinxext/gen_gallery.py:7323-7338,7393,7395-7404,7407-7424,7428-7433,7442-7444,7446,7475-7482,7484,7486,7489-7523,7567,7569,7582-7584,7616-7618,7633,7638,7703,7727-7734,7740-7741,7745,7751,7756,7762,7770,7772,7774,7776-7778,7780,7784,7788,7790,7792,7794,7796,7800,7803,7808,7822,7827,7834,7837,7844,7846-7847,7849,7858,7864,7866-7867,7874,7884,7896,7901-7903,7916,7919,7924,7928,7944,7952,7970,7972,7981,7983,7989-7991,7998,8001,8003,8016-8057,8068,8070,8092-8116,8121-8135
/branches/v1_0_maint/doc/sphinxext/gen_gallery.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764
+ /branches/v0_91_maint/doc/_templates/gen_gallery.py:5753-5771
/branches/v0_98_5_maint/doc/sphinxext/gen_gallery.py:6660-6662,6672-6673,6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
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/branches/v1_0_maint/doc/sphinxext/gen_gallery.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770
Property changes on: trunk/matplotlib/doc/sphinxext/gen_rst.py
___________________________________________________________________
Modified: svn:mergeinfo
- /branches/v0_91_maint/doc/examples/gen_rst.py:5753-5771
/branches/v0_98_5_maint/doc/sphinxext/gen_rst.py:6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
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/branches/v1_0_maint/doc/sphinxext/gen_rst.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764
+ /branches/v0_91_maint/doc/examples/gen_rst.py:5753-5771
/branches/v0_98_5_maint/doc/sphinxext/gen_rst.py:6714-6715,6717-6732,6752-6754,6761-6773,6781,6792,6800,6802,6805,6822,6827,6850,6854,6856,6859,6861-6873,6883-6884,6886,6890-6891,6911-6912,6915-6916,6918,6920-6925,6927-6928,6934,6941,6946,6948,6950,6952,6960,6972,6984-6985,6990,6995,6997-7001,7014,7016,7018,7024-7025,7033,7035,7042,7072,7080,7176,7209-7211,7227,7245
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/branches/v1_0_maint/doc/sphinxext/gen_rst.py:8521,8524-8541,8543,8549,8554,8557,8559-8564,8566,8573,8575,8577,8579,8581,8583,8585,8588,8590,8593,8595,8601,8603,8610,8614,8627-8628,8630,8632,8643,8645,8647-8667,8673,8675,8677,8679,8690-8697,8704,8706,8708,8714-8715,8717-8720,8722-8725,8732-8734,8747,8764,8769-8770
Modified: trunk/matplotlib/doc/users/index.rst
===================================================================
--- trunk/matplotlib/doc/users/index.rst 2010-11-04 20:50:49 UTC (rev 8770)
+++ trunk/matplotlib/doc/users/index.rst 2010-11-04 21:11:50 UTC (rev 8771)
@@ -27,6 +27,7 @@
transforms_tutorial.rst
path_tutorial.rst
annotations_guide.rst
+ recipes.rst
toolkits.rst
screenshots.rst
whats_new.rst
Copied: trunk/matplotlib/doc/users/recipes.rst (from rev 8770, branches/v1_0_maint/doc/users/recipes.rst)
===================================================================
--- trunk/matplotlib/doc/users/recipes.rst (rev 0)
+++ trunk/matplotlib/doc/users/recipes.rst 2010-11-04 21:11:50 UTC (rev 8771)
@@ -0,0 +1,348 @@
+.. _recipes:
+
+********************
+Our Favorite Recipes
+********************
+
+Here is a collection of short tutorials, examples and code snippets
+that illustrate some of the useful idioms and tricks to make snazzier
+figures and overcome some matplotlib warts.
+
+
+Sharing axis limits and views
+=============================
+
+It's common to make two or more plots which share an axis, eg two
+subplots with time as a common axis. When you pan and zoom around on
+one, you want the other to move around with you. To facilitate this,
+matplotlib Axes support a ``sharex`` and ``sharey`` attribute. When
+you create a :func:`~matplotlib.pyplot.subplot` or
+:func:`~matplotlib.pyplot.axes` instance, you can pass in a keyword
+indicating what axes you want to share with
+
+.. sourcecode:: ipython
+
+ In [96]: t = np.arange(0, 10, 0.01)
+
+ In [97]: ax1 = plt.subplot(211)
+
+ In [98]: ax1.plot(t, np.sin(2*np.pi*t))
+ Out[98]: [<matplotlib.lines.Line2D object at 0x98719ec>]
+
+ In [99]: ax2 = plt.subplot(212, sharex=ax1)
+
+ In [100]: ax2.plot(t, np.sin(4*np.pi*t))
+ Out[100]: [<matplotlib.lines.Line2D object at 0xb7d8fec>]
+
+Easily creating subplots
+========================
+
+In early versions of matplotlib, if you wanted to use the pythonic API
+and create a figure instance and from that create a grid of subplots,
+possibly with shared axes, it involved a fair amount of boilerplate
+code. Eg
+
+.. sourcecode:: python
+
+ # old style
+ fig = plt.figure()
+ ax1 = fig.add_subplot(221)
+ ax2 = fig.add_subplot(222, sharex=ax1, sharey=ax1)
+ ax3 = fig.add_subplot(223, sharex=ax1, sharey=ax1)
+ ax3 = fig.add_subplot(224, sharex=ax1, sharey=ax1)
+
+Fernando Perez has provided a nice top level method to create in
+:func:`~matplotlib.pyplots.subplots` (note the "s" at the end)
+everything at once, and turn off x and y sharing for the whole bunch.
+You can either unpack the axes individually::
+
+ # new style method 1
+ fig, (ax1, ax2, ax3, ax4) = plt.subplots(2, 2, sharex=True, sharey=True)
+ ax1.plot(x)
+
+or get them back as a numrows x numcolumns object array which supports
+numpy indexing::
+
+ # new style method 2
+ fig, axs = plt.subplots(2, 2, sharex=True, sharey=True)
+ axs[0,0].plot(x)
+
+
+Fixing common date annoyances
+=============================
+
+matplotlib allows you to natively plots python datetime instances, and
+for the most part does a good job picking tick locations and string
+formats. There are a couple of things it does not handle so
+gracefully, and here are some tricks to help you work around them.
+We'll load up some sample date data which contains datetime.date
+objects in a numpy record array::
+
+ In [63]: datafile = cbook.get_sample_data('goog.npy')
+
+ In [64]: r = np.load(datafile).view(np.recarray)
+
+ In [65]: r.dtype
+ Out[65]: dtype([('date', '|O4'), ('', '|V4'), ('open', '<f8'),
+ ('high', '<f8'), ('low', '<f8'), ('close', '<f8'),
+ ('volume', '<i8'), ('adj_close', '<f8')])
+
+ In [66]: r.date
+ Out[66]:
+ array([2004-08-19, 2004-08-20, 2004-08-23, ..., 2008-10-10, 2008-10-13,
+ 2008-10-14], dtype=object)
+
+The dtype of the numpy record array for the field 'date' is '|O4'
+which means it is a 4-byte python object pointer; in this case the
+objects are datetime.date instances, which we can see when we print
+some samples in the ipython terminal window.
+
+If you plot the data, you will see that the x tick labels are all
+squashed together::
+
+ In [67]: plot(r.date, r.close)
+ Out[67]: [<matplotlib.lines.Line2D object at 0x92a6b6c>]
+
+.. plot::
+
+ import matplotlib.cbook as cbook
+ datafile = cbook.get_sample_data('goog.npy')
+ r = np.load(datafile).view(np.recarray)
+ plt.figure()
+ plt.plot(r.date, r.close)
+ plt.title('Default date handling can cause overlapping labels')
+
+Another annoyance is that if you hover the mouse over a the window and
+look in the lower right corner of the matplotlib toolbar at the x and
+y coordinates, you see that the x locations are formatted the same way
+the tick labels are, eg "Dec 2004". What we'd like is for the
+location in the toolbar to have a higher degree of precision, eg
+giving us the exact date out mouse is hovering over. To fix the first
+problem, we can use method:`matplotlib.figure.Figure.autofmt_xdate()`
+and to fix the second problem we can use the ``ax.fmt_xdata``
+attribute which can be set to any function that takes a position and
+returns a string. matplotlib has a number of date formatters built
+im, so we'll use one of those.
+
+.. plot::
+ :include-source:
+
+ import matplotlib.cbook as cbook
+ datafile = cbook.get_sample_data('goog.npy')
+ r = np.load(datafile).view(np.recarray)
+ fig, ax = plt.subplots(1)
+ ax.plot(r.date, r.close)
+
+ # rotate and align the tick labels so they look better
+ fig.autofmt_xdate()
+
+ # use a more precise date string for the x axis locations in the
+ # toolbar
+ import matplotlib.dates as mdates
+ ax.fmt_xdata = mdates.DateFormatter('%Y-%m-%d')
+ plt.title('autfmt_xdate fixes the labels')
+
+Now when you hover your mouse over the plotted data, you'll see date
+format strings like 2004-12-01.
+
+Fill Between and Alpha
+======================
+
+The :meth:`~matplotlib.axes.Axes.fill_between` function generates a
+shaded region between a min and max boundary that is useful for
+illustrating ranges. It has a very handy ``where`` argument to
+combine filling with logical ranges, eg to just fill in a curve over
+some threshold value.
+
+At it's most basic level, ``fill_between`` can be use to enhance a
+graphs visual appearance. Let's compare two graphs of a financial
+times with a simple line plot on the left and a filled line on the
+right.
+
+.. plot::
+ :include-source:
+
+ import matplotlib.cbook as cbook
+
+ # load up some sample financial data
+ datafile = cbook.get_sample_data('goog.npy')
+ r = np.load(datafile).view(np.recarray)
+
+ # create two subplots with the shared x and y axes
+ fig, (ax1, ax2) = plt.subplots(1,2, sharex=True, sharey=True)
+
+ pricemin = r.close.min()
+
+ ax1.plot(r.date, r.close, lw=2)
+ ax2.fill_between(r.date, pricemin, r.close, facecolor='blue', alpha=0.5)
+
+ for ax in ax1, ax2:
+ ax.grid(True)
+
+ ax1.set_ylabel('price')
+ fig.suptitle('Google (GOOG) daily closing price')
+ fig.autofmt_xdate()
+
+The alpha channel is not necessary here, but it can be used to soften
+colors for more visually appealing plots. In other examples, as we'll
+see below, the alpha channel is functionally useful as the shaded
+regions can overlap and alpha allows you to see both. Note that the
+postscript format does not support alpha (this is a postscript
+limitation, not a matplotlib limitation), so when using alpha save
+your figures in PNG, PDF or SVG.
+
+Our next example computes two populations of random walkers with a
+different mean and standard deviation of the normal distributions from
+which there steps are drawn. We use shared regions to plot +/- one
+standard deviation of the mean position of the population. Here the
+alpha channel is useful, not just aesthetic.
+
+.. plot::
+ :include-source:
+
+ Nsteps, Nwalkers = 100, 250
+ t = np.arange(Nsteps)
+
+ # an Nsteps x Nwalkers array of random walk steps
+ S1 = 0.002 + 0.01*np.random.randn(Nsteps, Nwalkers)
+ S2 = 0.004 + 0.02*np.random.randn(Nsteps, Nwalkers)
+
+ # an Nsteps x Nwalkers array of random walker positions
+ X1 = S1.cumsum(axis=0)
+ X2 = S2.cumsum(axis=0)
+
+
+ # Nsteps length arrays empirical means and standard deviations of both
+ # populations over time
+ mu1 = X1.mean(axis=1)
+ sigma1 = X1.std(axis=1)
+ mu2 = X2.mean(axis=1)
+ sigma2 = X2.std(axis=1)
+
+ # plot it!
+ fig, ax = plt.subplots(1)
+ ax.plot(t, mu1, lw=2, label='mean population 1', color='blue')
+ ax.plot(t, mu1, lw=2, label='mean population 2', color='yellow')
+ ax.fill_between(t, mu1+sigma1, mu1-sigma1, facecolor='blue', alpha=0.5)
+ ax.fill_between(t, mu2+sigma2, mu2-sigma2, facecolor='yellow', alpha=0.5)
+ ax.set_title('random walkers empirical $\mu$ and $\pm \sigma$ interval')
+ ax.legend(loc='upper left')
+ ax.set_xlabel('num steps')
+ ax.set_ylabel('position')
+ ax.grid()
+
+
+The where keyword argument is very handy for highlighting certain
+regions of the graph. Where takes a boolean mask the same length as
+the x, ymin and ymax arguments, and only fills in the region where the
+boolean mask is True. In the example below, we take a a single random
+walker and compute the analytic mean and standard deviation of the
+population positions. The population mean is shown as the black
+dashed line, and the plus/minus one sigma deviation from the mean is
+showsn as the yellow filled region. We use the where mask
+``X>upper_bound`` to find the region where the walker is above the
+one sigma boundary, and shade that region blue.
+
+.. plot::
+ :include-source:
+
+ np.random.seed(1234)
+
+ Nsteps = 500
+ t = np.arange(Nsteps)
+
+ mu = 0.002
+ sigma = 0.01
+
+ # the steps and position
+ S = mu + sigma*np.random.randn(Nsteps)
+ X = S.cumsum()
+
+ # the 1 sigma upper and lower population bounds
+ lower_bound = mu*t - sigma*np.sqrt(t)
+ upper_bound = mu*t + sigma*np.sqrt(t)
+
+ fig, ax = plt.subplots(1)
+ ax.plot(t, X, lw=2, label='walker position', color='blue')
+ ax.plot(t, mu*t, lw=1, label='population mean', color='black', ls='--')
+ ax.fill_between(t, lower_bound, upper_bound, facecolor='yellow', alpha=0.5,
+ label='1 sigma range')
+ ax.legend(loc='upper left')
+
+ # here we use the where argument to only fill the region where the
+ # walker is above the population 1 sigma boundary
+ ax.fill_between(t, upper_bound, X, where=X>upper_bound, facecolor='blue', alpha=0.5)
+ ax.set_xlabel('num steps')
+ ax.set_ylabel('position')
+ ax.grid()
+
+
+Another handy use of filled regions is to highlight horizontal or
+vertical spans of an axes -- for that matplotlib has some helper
+functions :meth:`~matplotlib.axes.Axes.axhspan` and
+:meth:`~matplotlib.axes.Axes.axvspan` and example
+:ref:`pylab_examples-axhspan_demo`.
+
+
+Transparent, fancy legends
+==========================
+
+Sometimes you know what your data looks like before you plot it, and
+mak know for instance that there won't be much data in the upper right
+hand corner. Then you can safely create a legend that doesn't overlay
+your data::
+
+ ax.legend(loc='upper right')
+
+Other times you don't know where your data is, and loc='best' will try
+and place the legend::
+
+ ax.legend(loc='upper right')
+
+but still, your legend may overlap your data, and in these cases it's
+nice to make the legend frame transparent.
+
+
+.. plot::
+ :include-source:
+
+ np.random.seed(1234)
+ fig, ax = plt.subplots(1)
+ ax.plot(np.random.randn(300), 'o-', label='normal distribution')
+ ax.plot(np.random.rand(300), 's-', label='uniform distribution')
+ ax.set_ylim(-3, 3)
+ leg = ax.legend(loc='best', fancybox=True)
+ leg.get_frame().set_alpha(0.5)
+
+ ax.set_title('fancy, transparent legends')
+
+
+Placing text boxes
+==================
+
+When decorating axes with text boxes, two useful tricks are to place
+the text in axes coordinates (see :ref:`transforms_tutorial`), so the
+text doesn't move around with changes in x or y limits. You can also
+use the bbox property of text to surround the text with a
+:class:`~matplotlib.patches.Patch` instance -- the boox keyword argument
+takes a dictionary with keys that are Patch properties.
+
+.. plot::
+ :include-source:
+
+ np.random.seed(1234)
+ fig, ax = plt.subplots(1)
+ x = 30*np.random.randn(10000)
+ mu = x.mean()
+ median = np.median(x)
+ sigma = x.std()
+ textstr = '$\mu=%.2f$\n$\mathrm{median}=%.2f$\n$\sigma=%.2f$'%(mu, median, sigma)
+
+ ax.hist(x, 50)
+ # these are matplotlib.patch.Patch properies
+ props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
+
+ # place a text box in upper left in axes coords
+ ax.text(0.05, 0.95, textstr, transform=ax.transAxes, fontsize=14,
+ verticalalignment='top', bbox=props)
+
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Property changes on: trunk/matplotlib/examples/mplot3d/scatter3d_demo.py
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/examples/mplot3d/surface3d_demo.py
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/examples/mplot3d/wire3d_demo.py
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/lib/matplotlib/sphinxext/mathmpl.py
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/lib/matplotlib/sphinxext/only_directives.py
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/lib/matplotlib/sphinxext/plot_directive.py
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Modified: svn:mergeinfo
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Property changes on: trunk/matplotlib/lib/matplotlib/tests/baseline_images/test_spines/spines_axes_positions.png
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Modified: svn:mergeinfo
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