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NelleVNelleV
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Merge pull request #7398 from wgma00/master
Moved python files from doc/pyplots to examples folder
2 parents fd2e62d + ce661b0 commit 6709b59

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‎doc/devel/documenting_mpl.rst

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‎doc/faq/howto_faq.rst

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‎doc/make.py

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@@ -119,7 +119,7 @@ def clean():
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'mpl_examples/pylab_examples/*.png',
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'mpl_examples/pylab_examples/*.pdf',
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'mpl_examples/units/*.png',
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'pyplots/tex_demo.png',
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'mpl_examples/pyplots/tex_demo.png',
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'_static/matplotlibrc',
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'_templates/gallery.html',
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'users/installing.rst']:

‎doc/users/annotations.rst

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‎doc/users/artists.rst

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‎doc/users/mathtext.rst

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‎doc/users/path_tutorial.rst

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‎doc/users/prev_whats_new/whats_new_0.98.4.rst

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‎doc/users/prev_whats_new/whats_new_0.99.rst

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‎doc/users/prev_whats_new/whats_new_1.0.rst

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‎doc/users/pyplot_tutorial.rst

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‎doc/users/screenshots.rst

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‎doc/users/text_intro.rst

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‎doc/users/text_props.rst

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‎doc/users/transforms_tutorial.rst

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‎doc/users/usetex.rst

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‎doc/pyplots/align_ylabels.py renamed to ‎examples/pyplots/align_ylabels.py

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fig = plt.figure()
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fig.subplots_adjust(left=0.2, wspace=0.6)
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# Fixing random state for reproducibility
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np.random.seed(19680801)
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ax1 = fig.add_subplot(221)
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ax1.plot(2000*np.random.rand(10))

‎doc/pyplots/annotate_transform.py renamed to ‎examples/pyplots/annotate_transform.py

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‎doc/pyplots/annotation_basic.py renamed to ‎examples/pyplots/annotation_basic.py

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‎doc/pyplots/annotation_polar.py renamed to ‎examples/pyplots/annotation_polar.py

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‎doc/pyplots/auto_subplots_adjust.py renamed to ‎examples/pyplots/auto_subplots_adjust.py

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‎doc/pyplots/boxplot_demo.py renamed to ‎examples/pyplots/boxplot_demo.py

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import numpy as np
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import matplotlib.pyplot as plt
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np.random.seed(0)
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# Fixing random state for reproducibility
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np.random.seed(19680801)
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# fake up some data
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spread = np.random.rand(50) * 100

‎doc/pyplots/compound_path_demo.py renamed to ‎examples/pyplots/compound_path_demo.py

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fig = plt.figure()
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ax = fig.add_subplot(111)
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# Fixing random state for reproducibility
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np.random.seed(19680801)
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# histogram our data with numpy
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data = np.random.randn(1000)
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n, bins = np.histogram(data, 100)

‎doc/pyplots/dollar_ticks.py renamed to ‎examples/pyplots/dollar_ticks.py

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import matplotlib.pyplot as plt
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import matplotlib.ticker as ticker
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# Fixing random state for reproducibility
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np.random.seed(19680801)
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fig = plt.figure()
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ax = fig.add_subplot(111)
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ax.plot(100*np.random.rand(20))

‎doc/pyplots/fig_axes_customize_simple.py renamed to ‎examples/pyplots/fig_axes_customize_simple.py

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‎doc/pyplots/fig_axes_labels_simple.py renamed to ‎examples/pyplots/fig_axes_labels_simple.py

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s = np.sin(2*np.pi*t)
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line, = ax1.plot(t, s, color='blue', lw=2)
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# Fixing random state for reproducibility
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np.random.seed(19680801)
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ax2 = fig.add_axes([0.15, 0.1, 0.7, 0.3])
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n, bins, patches = ax2.hist(np.random.randn(1000), 50,
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facecolor='yellow', edgecolor='yellow')

‎doc/pyplots/fig_x.py renamed to ‎examples/pyplots/fig_x.py

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‎doc/pyplots/matplotlibrc renamed to ‎examples/pyplots/matplotlibrc

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‎doc/pyplots/pyplot_annotate.py renamed to ‎examples/pyplots/pyplot_annotate.py

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‎doc/pyplots/pyplot_formatstr.py renamed to ‎examples/pyplots/pyplot_formatstr.py

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‎doc/pyplots/pyplot_mathtext.py renamed to ‎examples/pyplots/pyplot_mathtext.py

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‎doc/pyplots/pyplot_scales.py renamed to ‎examples/pyplots/pyplot_scales.py

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from matplotlib.ticker import NullFormatter # useful for `logit` scale
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# Fixing random state for reproducibility
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np.random.seed(19680801)
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# make up some data in the interval ]0, 1[
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y = np.random.normal(loc=0.5, scale=0.4, size=1000)
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y = y[(y > 0) & (y < 1)]

‎doc/pyplots/pyplot_simple.py renamed to ‎examples/pyplots/pyplot_simple.py

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‎doc/pyplots/pyplot_text.py renamed to ‎examples/pyplots/pyplot_text.py

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import numpy as np
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import matplotlib.pyplot as plt
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# Fixing random state for reproducibility
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np.random.seed(19680801)
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mu, sigma = 100, 15
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x = mu + sigma * np.random.randn(10000)
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‎doc/pyplots/pyplot_three.py renamed to ‎examples/pyplots/pyplot_three.py

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‎doc/pyplots/pyplot_two_subplots.py renamed to ‎examples/pyplots/pyplot_two_subplots.py

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‎doc/pyplots/tex_demo.py renamed to ‎examples/pyplots/tex_demo.py

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‎doc/pyplots/text_commands.py renamed to ‎examples/pyplots/text_commands.py

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‎doc/pyplots/text_layout.py renamed to ‎examples/pyplots/text_layout.py

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‎doc/pyplots/whats_new_1_subplot3d.py renamed to ‎examples/pyplots/whats_new_1_subplot3d.py

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‎doc/pyplots/whats_new_98_4_fancy.py renamed to ‎examples/pyplots/whats_new_98_4_fancy.py

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‎doc/pyplots/whats_new_98_4_fill_between.py renamed to ‎examples/pyplots/whats_new_98_4_fill_between.py

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‎doc/pyplots/whats_new_98_4_legend.py renamed to ‎examples/pyplots/whats_new_98_4_legend.py

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‎doc/pyplots/whats_new_99_axes_grid.py renamed to ‎examples/pyplots/whats_new_99_axes_grid.py

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‎doc/pyplots/whats_new_99_mplot3d.py renamed to ‎examples/pyplots/whats_new_99_mplot3d.py

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‎doc/pyplots/whats_new_99_spines.py renamed to ‎examples/pyplots/whats_new_99_spines.py

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‎lib/matplotlib/tests/test_coding_standards.py

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'*/pylab_examples/tricontour_demo.py',
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'*/pylab_examples/tripcolor_demo.py',
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'*/pylab_examples/triplot_demo.py',
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'*/shapes_and_collections/artist_reference.py']
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'*/shapes_and_collections/artist_reference.py',
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'*/pyplots/align_ylabels.py',
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'*/pyplots/annotate_transform.py',
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'*/pyplots/pyplot_simple.py',
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'*/pyplots/annotation_basic.py',
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'*/pyplots/annotation_polar.py',
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'*/pyplots/auto_subplots_adjust.py',
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'*/pyplots/pyplot_two_subplots.py',
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'*/pyplots/boxplot_demo.py',
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'*/pyplots/tex_demo.py',
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'*/pyplots/compound_path_demo.py',
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'*/pyplots/text_commands.py',
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'*/pyplots/dollar_ticks.py',
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'*/pyplots/text_layout.py',
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'*/pyplots/fig_axes_customize_simple.py',
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'*/pyplots/whats_new_1_subplot3d.py',
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'*/pyplots/fig_axes_labels_simple.py',
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'*/pyplots/whats_new_98_4_fancy.py',
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'*/pyplots/fig_x.py',
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'*/pyplots/whats_new_98_4_fill_between.py',
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'*/pyplots/whats_new_98_4_legend.py',
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'*/pyplots/pyplot_annotate.py',
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'*/pyplots/whats_new_99_axes_grid.py',
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'*/pyplots/pyplot_formatstr.py',
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'*/pyplots/pyplot_mathtext.py',
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'*/pyplots/whats_new_99_spines.py']
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assert_pep8_conformance(dirname=exdir,
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extra_exclude_directories=blacklist,
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pep8_additional_ignore=PEP8_ADDITIONAL_IGNORE +

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