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ImportanceOfBeingErnestImportanceOfBeingErnest
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example references for shapes&collections
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‎examples/color/color_by_yvalue.py

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fig, ax = plt.subplots()
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ax.plot(t, smiddle, t, slower, t, supper)
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plt.show()
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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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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import matplotlib
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matplotlib.axes.Axes.plot
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matplotlib.pyplot.plot

‎examples/color/color_cycle_default.py

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Colors in the default property cycle
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====================================
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Display the colors from the default prop_cycle.
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Display the colors from the default prop_cycle, which is obtained from the
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:ref:`rc parameters<sphx_glr_tutorials_introductory_customizing.py>`.
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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fig.suptitle('Colors in the default prop_cycle', fontsize='large')
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plt.show()
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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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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import matplotlib
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matplotlib.axes.Axes.axhline
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matplotlib.axes.Axes.axvline
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matplotlib.pyplot.axhline
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matplotlib.pyplot.axvline
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matplotlib.axes.Axes.set_facecolor
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matplotlib.figure.Figure.suptitle

‎examples/color/color_cycler.py

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This example demonstrates two different APIs:
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1. Setting the default rc parameter specifying the property cycle.
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This affects all subsequent axes (but not axes already created).
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1. Setting the default
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:ref:`rc parameter<sphx_glr_tutorials_introductory_customizing.py>`
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specifying the property cycle. This affects all subsequent axes
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(but not axes already created).
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2. Setting the property cycle for a single pair of axes.
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"""
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from cycler import cycler
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# Tweak spacing between subplots to prevent labels from overlapping
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fig.subplots_adjust(hspace=0.3)
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plt.show()
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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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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import matplotlib
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matplotlib.axes.Axes.plot
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matplotlib.axes.Axes.set_prop_cycle

‎examples/color/color_demo.py

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Color Demo
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==========
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matplotlib gives you 5 ways to specify colors,
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Matplotlib gives you 8 ways to specify colors,
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1) as a single letter string, ala MATLAB
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1) an RGB or RGBA tuple of float values in ``[0, 1]`` (e.g. ``(0.1, 0.2, 0.5)``
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or ``(0.1, 0.2, 0.5, 0.3)``). RGBA is short for Red, Green, Blue, Alpha;
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2) a hex RGB or RGBA string (e.g., ``'#0F0F0F'`` or ``'#0F0F0F0F'``);
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3) a string representation of a float value in ``[0, 1]`` inclusive for gray
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level (e.g., ``'0.5'``);
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4) a single letter string, i.e. one of
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``{'b', 'g', 'r', 'c', 'm', 'y', 'k', 'w'}``;
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5) a X11/CSS4 ("html") color name, e.g. ``"blue"``;
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6) a name from the `xkcd color survey <https://xkcd.com/color/rgb/>`__,
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prefixed with ``'xkcd:'`` (e.g., ``'xkcd:sky blue'``);
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7) a "Cn" color spec, i.e. `'C'` followed by a single digit, which is an index
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into the default property cycle
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(``matplotlib.rcParams['axes.prop_cycle']``); the indexing occurs at artist
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creation time and defaults to black if the cycle does not include color.
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8) one of ``{'tab:blue', 'tab:orange', 'tab:green',
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'tab:red', 'tab:purple', 'tab:brown', 'tab:pink',
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'tab:gray', 'tab:olive', 'tab:cyan'}`` which are the Tableau Colors from the
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'tab10' categorical palette (which is the default color cycle);
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2) as an html style hex string or html color name
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For more information on colors in matplotlib see
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3) as an R,G,B tuple, where R,G,B, range from 0-1
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4) as a string representing a floating point number
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from 0 to 1, corresponding to shades of gray.
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5) as a special color "Cn", where n is a number 0-9 specifying the
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nth color in the currently active color cycle.
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See help(colors) for more info.
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* the :ref:`sphx_glr_tutorials_colors_colors.py` tutorial;
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* the `matplotlib.colors` API;
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* the :ref:`sphx_glr_gallery_color_named_colors.py` example.
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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t = np.arange(0.0, 2.0, 0.01)
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t = np.linspace(0.0, 2.0, 201)
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s = np.sin(2 * np.pi * t)
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fig, ax = plt.subplots(facecolor='darkslategray')
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ax.plot(t, s, 'C1')
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ax.set_xlabel('time (s)', color='C1')
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ax.set_ylabel('voltage (mV)', color='0.5') # grayscale color
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ax.set_title('About as silly as it gets, folks', color='#afeeee')
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# 1) RGB tuple:
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fig, ax = plt.subplots(facecolor=(.18, .31, .31))
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# 2) hex string:
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ax.set_facecolor('#eafff5')
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# 3) gray level string:
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ax.set_title('Voltage vs. time chart', color='0.7')
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# 4) single letter color string
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ax.set_xlabel('time (s)', color='c')
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# 5) a named color:
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ax.set_ylabel('voltage (mV)', color='peachpuff')
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# 6) a named xkcd color:
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ax.plot(t, s, 'xkcd:crimson')
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# 7) Cn notation:
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ax.plot(t, .7*s, color='C4', linestyle='--')
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# 8) tab notation:
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ax.tick_params(labelcolor='tab:orange')
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plt.show()
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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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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import matplotlib
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matplotlib.colors
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matplotlib.axes.Axes.plot
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matplotlib.axes.Axes.set_facecolor
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matplotlib.axes.Axes.set_title
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matplotlib.axes.Axes.set_xlabel
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matplotlib.axes.Axes.set_ylabel
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matplotlib.axes.Axes.tick_params

‎examples/color/colorbar_basics.py

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Colorbar
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========
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Use colorbar by specifying the mappable object (here
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the imshow returned object) and the axes to attach the colorbar to.
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Use `~.figure.Figure.colorbar` by specifying the mappable object (here
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the `~.matplotlib.image.AxesImage` returned by `~.axes.Axes.imshow`)
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and the axes to attach the colorbar to.
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"""
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import numpy as np
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fig.colorbar(neg, ax=ax2)
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plt.show()
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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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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import matplotlib
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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

‎examples/color/colormap_reference.py

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plot_color_gradients(cmap_category, cmap_list, nrows)
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plt.show()
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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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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import matplotlib
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matplotlib.colors
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matplotlib.axes.Axes.imshow
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matplotlib.figure.Figure.text
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matplotlib.axes.Axes.set_axis_off

‎examples/color/named_colors.py

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========================
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Simple plot example with the named colors and its visual representation.
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For more information on colors in matplotlib see
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* the :ref:`sphx_glr_tutorials_colors_colors.py` tutorial;
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* the `matplotlib.colors` API;
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* the :ref:`sphx_glr_gallery_color_color_demo.py`.
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"""
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import matplotlib.pyplot as plt
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top=1, bottom=0,
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hspace=0, wspace=0)
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plt.show()
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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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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import matplotlib
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matplotlib.colors
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matplotlib.colors.rgb_to_hsv
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matplotlib.colors.to_rgba
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matplotlib.figure.Figure.get_size_inches
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matplotlib.figure.Figure.subplots_adjust
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matplotlib.axes.Axes.text
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matplotlib.axes.Axes.hlines

‎examples/pie_and_polar_charts/nested_pie.py

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ax.set(title="Pie plot with `ax.bar` and polar coordinates")
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ax.set_axis_off()
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plt.show()
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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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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import matplotlib
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matplotlib.axes.Axes.pie
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matplotlib.pyplot.pie
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matplotlib.axes.Axes.bar
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matplotlib.pyplot.bar
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matplotlib.projections.polar
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matplotlib.axes.Axes.set
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matplotlib.axes.Axes.set_axis_off

‎examples/pie_and_polar_charts/pie_and_donut_labels.py

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# And here it is, the donut. Note however, that if we were to use this recipe,
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# the ingredients would suffice for around 6 donuts - producing one huge
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# donut is untested and might result in kitchen errors.
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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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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import matplotlib
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matplotlib.axes.Axes.pie
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matplotlib.pyplot.pie
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matplotlib.axes.Axes.legend
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matplotlib.pyplot.legend

‎examples/pie_and_polar_charts/pie_demo2.py

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Pie Demo2
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=========
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Make a pie charts using :meth:`.Axes.pie`.
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Make a pie charts using :meth:`~.axes.Axes.pie`.
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This example demonstrates some pie chart features like labels, varying size,
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autolabeling the percentage, offsetting a slice and adding a shadow.
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autotexts[0].set_color('white')
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plt.show()
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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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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import matplotlib
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matplotlib.axes.Axes.pie
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matplotlib.pyplot.pie

‎examples/pie_and_polar_charts/pie_features.py

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ax1.axis('equal') # Equal aspect ratio ensures that pie is drawn as a circle.
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plt.show()
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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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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import matplotlib
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matplotlib.axes.Axes.pie
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matplotlib.pyplot.pie

‎examples/pie_and_polar_charts/polar_bar.py

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bar.set_alpha(0.5)
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plt.show()
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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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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import matplotlib
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matplotlib.axes.Axes.bar
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matplotlib.pyplot.bar
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matplotlib.projections.polar

‎examples/pie_and_polar_charts/polar_demo.py

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ax.set_title("A line plot on a polar axis", va='bottom')
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plt.show()
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#############################################################################
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#
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# ------------
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#
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# References
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# """"""""""
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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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import matplotlib
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matplotlib.axes.Axes.plot
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matplotlib.projections.polar
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matplotlib.projections.polar.PolarAxes
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matplotlib.projections.polar.PolarAxes.set_rticks
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matplotlib.projections.polar.PolarAxes.set_rmax
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matplotlib.projections.polar.PolarAxes.set_rlabel_position

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