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Merge pull request #13307 from anntzer/spell
DOC: Spelling fixes.
2 parents c2ff409 + a089e06 commit a55909a

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‎doc/api/api_changes.rst‎

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@@ -359,7 +359,7 @@ Changes regarding the text.latex.unicode rcParam
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------------------------------------------------
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The rcParam now defaults to True and is deprecated (i.e., in future versions
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of Maplotlib, unicode input will always be supported).
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of Matplotlib, unicode input will always be supported).
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Moreover, the underlying implementation now uses ``\usepackage[utf8]{inputenc}``
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instead of ``\usepackage{ucs}\usepackage[utf8x]{inputenc}``.

‎doc/api/next_api_changes/2018-05-15-AL-removals.rst‎

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````````````````````````````````````````````````
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The rcParam now defaults to True and is deprecated (i.e., in future versions
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of Maplotlib, unicode input will always be supported).
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of Matplotlib, unicode input will always be supported).
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Moreover, the underlying implementation now uses ``\usepackage[utf8]{inputenc}``
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instead of ``\usepackage{ucs}\usepackage[utf8x]{inputenc}``.

‎doc/faq/howto_faq.rst‎

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as `datetime.datetime` objects.
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If you prefer the pandas converters and locators, you can register their
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converter with the `matplolib.units` module::
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converter with the `matplotlib.units` module::
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from pandas.tseries import converter as pdtc
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pdtc.register()

‎doc/users/generate_credits.py‎

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email_counter = Counter(emails)
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if email_counter.most_common(1)[0][1] > 1:
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print('DUPLICATE CHECK: The following email addesses are used with more '
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'than one name.\nConsider adding them to .mailmap.\n')
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print('DUPLICATE CHECK: The following email addresses are used with '
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'more than one name.\nConsider adding them to .mailmap.\n')
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for email, count in email_counter.items():
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if count > 1:
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print('%s\n%s' % (email, '\n'.join(l for l in lines if email in l)))

‎examples/axes_grid1/inset_locator_demo.py‎

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transform=ax.transAxes))
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# We set the axis limits to something other than the default, in order to not
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# distract from the fact that axes coodinates are used here.
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# distract from the fact that axes coordinates are used here.
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ax.axis([0, 10, 0, 10])
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‎examples/color/color_cycler.py‎

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# For the most general use-case, you can provide a cycler to
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# `.set_prop_cycle`.
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# Here, we use the convenient shortcut that we can alternatively pass
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# one or more properties as keyword arguements. This creates and sets
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# one or more properties as keyword arguments. This creates and sets
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# a cycler iterating simultaneously over all properties.
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ax1.set_prop_cycle(color=['c', 'm', 'y', 'k'], lw=[1, 2, 3, 4])
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ax1.plot(yy)

‎examples/color/colorbar_basics.py‎

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neg = ax2.imshow(Zneg, cmap='Reds_r', interpolation='none')
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fig.colorbar(neg, ax=ax2)
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# Plot both positive and negative values betwen +/- 1.2
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# Plot both positive and negative values between +/- 1.2
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pos_neg_clipped = ax3.imshow(Z, cmap='RdBu', vmin=-1.2, vmax=1.2,
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interpolation='none')
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# Add minorticks on the colorbar to make it easy to read the

‎examples/images_contours_and_fields/image_annotated_heatmap.py‎

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# Some more complex heatmap examples
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# ----------------------------------
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#
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# In the following we show the versitality of the previously created
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# In the following we show the versatility of the previously created
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# functions by applying it in different cases and using different arguments.
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#
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‎examples/misc/demo_agg_filter.py‎

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fmt='%1.1f',
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fontsize=11)
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# change clable color to black
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# change clabel color to black
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from matplotlib.patheffects import Normal
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for t in cl:
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t.set_color("k")

‎examples/specialty_plots/leftventricle_bulleye.py‎

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"""
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=====================
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Leftventricle Bulleye
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=====================
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=======================
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Left ventricle bullseye
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=======================
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This example demonstrates how to create the 17 segment model for the left
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ventricle recommended by the American Heart Association (AHA).

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