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jklymakjklymak
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Merge pull request #19847 from timhoffm/reformat-references2
Reformat references (part 2)
2 parents dca4a97 + 20b1690 commit d8f04be

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‎.flake8

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examples/subplots_axes_and_figures/axes_zoom_effect.py: E402
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examples/subplots_axes_and_figures/custom_figure_class.py: E402
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examples/subplots_axes_and_figures/demo_constrained_layout.py: E402
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examples/subplots_axes_and_figures/demo_tight_layout.py: E402
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examples/subplots_axes_and_figures/demo_tight_layout.py: E402, E501
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examples/subplots_axes_and_figures/figure_size_units.py: E402
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examples/subplots_axes_and_figures/secondary_axis.py: E402
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examples/subplots_axes_and_figures/two_scales.py: E402

‎examples/axes_grid1/scatter_hist_locatable_axes.py

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#############################################################################
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#
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# ------------
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## .. admonition:: References
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#
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# References
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# """"""""""
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# The use of the following functions, methods, classes and modules is shown
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# in this example:
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#
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# The use of the following functions, methods and classes is shown
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# in this example:
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import matplotlib
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import mpl_toolkits
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mpl_toolkits.axes_grid1.axes_divider.make_axes_locatable
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matplotlib.axes.Axes.set_aspect
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matplotlib.axes.Axes.scatter
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matplotlib.axes.Axes.hist
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# - `mpl_toolkits.axes_grid1.axes_divider.make_axes_locatable`
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# - `matplotlib.axes.Axes.set_aspect`
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# - `matplotlib.axes.Axes.scatter`
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# - `matplotlib.axes.Axes.hist`

‎examples/images_contours_and_fields/affine_image.py

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#############################################################################
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#
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# ------------
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# .. admonition:: References
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#
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# References
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# """"""""""
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# The use of the following functions, methods, classes and modules is shown
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# in this example:
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#
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# The use of the following functions, methods and classes is shown
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# in this example:
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import matplotlib
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matplotlib.axes.Axes.imshow
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matplotlib.pyplot.imshow
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matplotlib.transforms.Affine2D
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# - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
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# - `matplotlib.transforms.Affine2D`

‎examples/images_contours_and_fields/barb_demo.py

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#############################################################################
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#
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# ------------
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# .. admonition:: References
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#
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# References
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# """"""""""
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# The use of the following functions, methods, classes and modules is shown
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# in this example:
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#
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# The use of the following functions, methods and classes is shown
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# in this example:
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import matplotlib
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matplotlib.axes.Axes.barbs
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matplotlib.pyplot.barbs
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# - `matplotlib.axes.Axes.barbs` / `matplotlib.pyplot.barbs`

‎examples/images_contours_and_fields/barcode_demo.py

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#############################################################################
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#
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# ------------
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# .. admonition:: References
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#
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# References
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# """"""""""
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# The use of the following functions, methods, classes and modules is shown
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# in this example:
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#
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# The use of the following functions, methods and classes is shown
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# in this example:
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import matplotlib
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matplotlib.axes.Axes.imshow
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matplotlib.pyplot.imshow
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matplotlib.figure.Figure.add_axes
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# - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
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# - `matplotlib.figure.Figure.add_axes`

‎examples/images_contours_and_fields/contour_corner_mask.py

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#############################################################################
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#
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# ------------
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# .. admonition:: References
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#
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# References
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# """"""""""
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# The use of the following functions, methods, classes and modules is shown
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# in this example:
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#
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# The use of the following functions and methods is shown
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# in this example:
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import matplotlib
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matplotlib.axes.Axes.contour
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matplotlib.pyplot.contour
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matplotlib.axes.Axes.contourf
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matplotlib.pyplot.contourf
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# - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`
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# - `matplotlib.axes.Axes.contourf` / `matplotlib.pyplot.contourf`

‎examples/images_contours_and_fields/contour_demo.py

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</gallery/images_contours_and_fields/contour_image>`.
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"""
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import matplotlib
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import numpy as np
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import matplotlib.cm as cm
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import matplotlib.pyplot as plt
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###############################################################################
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# You can set negative contours to be solid instead of dashed:
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matplotlib.rcParams['contour.negative_linestyle'] = 'solid'
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plt.rcParams['contour.negative_linestyle'] = 'solid'
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fig, ax = plt.subplots()
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CS = ax.contour(X, Y, Z, 6, colors='k') # Negative contours default to dashed.
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ax.clabel(CS, fontsize=9, inline=True)
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#############################################################################
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#
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# ------------
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# .. admonition:: References
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#
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# References
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# """"""""""
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# The use of the following functions, methods, classes and modules is shown
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# in this example:
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#
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# The use of the following functions and methods is shown
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# in this example:
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import matplotlib
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matplotlib.axes.Axes.contour
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matplotlib.pyplot.contour
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matplotlib.figure.Figure.colorbar
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matplotlib.pyplot.colorbar
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matplotlib.axes.Axes.clabel
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matplotlib.pyplot.clabel
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matplotlib.axes.Axes.set_position
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matplotlib.axes.Axes.get_position
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# - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`
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# - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
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# - `matplotlib.axes.Axes.clabel` / `matplotlib.pyplot.clabel`
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# - `matplotlib.axes.Axes.get_position`
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# - `matplotlib.axes.Axes.set_position`

‎examples/images_contours_and_fields/contour_image.py

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#############################################################################
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#
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# ------------
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# .. admonition:: References
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#
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# References
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# """"""""""
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# The use of the following functions, methods, classes and modules is shown
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# in this example:
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#
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# The use of the following functions, methods and classes is shown
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# in this example:
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import matplotlib
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matplotlib.axes.Axes.contour
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matplotlib.pyplot.contour
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matplotlib.axes.Axes.imshow
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matplotlib.pyplot.imshow
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matplotlib.figure.Figure.colorbar
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matplotlib.pyplot.colorbar
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matplotlib.colors.Normalize
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# - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`
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# - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow`
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# - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
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# - `matplotlib.colors.Normalize`

‎examples/images_contours_and_fields/contour_label_demo.py

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</gallery/images_contours_and_fields/contour_demo>`.
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"""
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import matplotlib
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import numpy as np
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import matplotlib.ticker as ticker
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import matplotlib.pyplot as plt
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#############################################################################
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#
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# ------------
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# .. admonition:: References
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#
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# References
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# """"""""""
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# The use of the following functions, methods, classes and modules is shown
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# in this example:
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#
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# The use of the following functions, methods and classes is shown
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# in this example:
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matplotlib.axes.Axes.contour
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matplotlib.pyplot.contour
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matplotlib.axes.Axes.clabel
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matplotlib.pyplot.clabel
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matplotlib.ticker.LogFormatterMathtext
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matplotlib.ticker.TickHelper.create_dummy_axis
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# - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`
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# - `matplotlib.axes.Axes.clabel` / `matplotlib.pyplot.clabel`
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# - `matplotlib.ticker.LogFormatterMathtext`
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# - `matplotlib.ticker.TickHelper.create_dummy_axis`

‎examples/images_contours_and_fields/contourf_demo.py

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#############################################################################
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#
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# ------------
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# .. admonition:: References
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#
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# References
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# """"""""""
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# The use of the following functions, methods, classes and modules is shown
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# in this example:
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#
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# The use of the following functions, methods and classes is shown
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# in this example:
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import matplotlib
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matplotlib.axes.Axes.contour
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matplotlib.pyplot.contour
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matplotlib.axes.Axes.contourf
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matplotlib.pyplot.contourf
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matplotlib.axes.Axes.clabel
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matplotlib.pyplot.clabel
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matplotlib.figure.Figure.colorbar
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matplotlib.pyplot.colorbar
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matplotlib.colors.Colormap
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matplotlib.colors.Colormap.set_bad
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matplotlib.colors.Colormap.set_under
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matplotlib.colors.Colormap.set_over
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# - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour`
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# - `matplotlib.axes.Axes.contourf` / `matplotlib.pyplot.contourf`
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# - `matplotlib.axes.Axes.clabel` / `matplotlib.pyplot.clabel`
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# - `matplotlib.figure.Figure.colorbar` / `matplotlib.pyplot.colorbar`
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# - `matplotlib.colors.Colormap`
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# - `matplotlib.colors.Colormap.set_bad`
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# - `matplotlib.colors.Colormap.set_under`
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# - `matplotlib.colors.Colormap.set_over`

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