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Merge pull request #8311 from NelleV/MEP12_api
[MRG+2] DOC api's transition to sphinx-gallery is now complete
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‎doc/faq/howto_faq.rst

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‎doc/users/legend_guide.rst

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‎doc/users/prev_whats_new/whats_new_1.1.rst

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‎examples/api/README.txt

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matplotlib API
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.. _api_examples:
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Matplotlib API
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==============
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These examples use the matplotlib api rather than the pylab/pyplot
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These examples use the Matplotlib api rather than the pylab/pyplot
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procedural state machine. For robust, production level scripts, or
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for applications or web application servers, we recommend you use the
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matplotlib API directly as it gives you the maximum control over your
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Matplotlib API directly as it gives you the maximum control over your
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figures, axes and plottng commands.
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The example agg_oo.py is the simplest example of using the Agg backend
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which is readily ported to other output formats. This example is a
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good starting point if your are a web application developer. Many of
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the other examples in this directory use matplotlib.pyplot just to
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the other examples in this directory use ``matplotlib.pyplot`` just to
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create the figure and show calls, and use the API for everything else.
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This is a good solution for production quality scripts. For full
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fledged GUI applications, see the user_interfaces examples.
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Example style guide
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===================
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If you are creating new examples, you cannot import pylab or import *
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from any module in your examples. The only three functions allowed
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from pyplot are "figure", "show" and "close", which you can use as
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convenience functions for managing figures. All other matplotlib
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functionality must illustrate the API.
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A simple example of the recommended style is::
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import numpy as np
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import matplotlib.pyplot as plt
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fig, ax = plt.subplots()
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ax.plot(np.random.rand(10))
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ax.set_xlabel('some x data')
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ax.set_ylabel('some y data')
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ax.set_title('some title')
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ax.grid(True)
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fig.savefig('myfig')
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plt.show()

‎examples/api/demo_affine_image.py renamed to ‎examples/api/plot_affine_image.py

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‎examples/api/agg_oo.py renamed to ‎examples/api/plot_agg_oo.py

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