.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        Click :ref:`here <sphx_glr_download_gallery_style_sheets_style_sheets_reference.py>`     to download the full example code
    .. rst-class:: sphx-glr-example-title

    .. _sphx_glr_gallery_style_sheets_style_sheets_reference.py:


======================
Style sheets reference
======================

This script demonstrates the different available style sheets on a
common set of example plots: scatter plot, image, bar graph, patches,
line plot and histogram,



.. rst-class:: sphx-glr-horizontal


    *

      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_001.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_002.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_003.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_004.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_005.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_006.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_007.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_008.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_009.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_010.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_011.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_012.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_013.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_014.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_015.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_016.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_017.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_018.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_019.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_020.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_021.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_022.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_023.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_024.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_025.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_026.png
          :alt: Axes title
          :class: sphx-glr-multi-img

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      .. image:: /gallery/style_sheets/images/sphx_glr_style_sheets_reference_027.png
          :alt: Axes title
          :class: sphx-glr-multi-img


.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    /mpl_source/examples/style_sheets/style_sheets_reference.py:114: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).
      fig, axs = plt.subplots(ncols=6, nrows=1, num=style_label,






|


.. code-block:: default


    import numpy as np
    import matplotlib.pyplot as plt

    # Fixing random state for reproducibility
    np.random.seed(19680801)


    def plot_scatter(ax, prng, nb_samples=100):
        """Scatter plot."""
        for mu, sigma, marker in [(-.5, 0.75, 'o'), (0.75, 1., 's')]:
            x, y = prng.normal(loc=mu, scale=sigma, size=(2, nb_samples))
            ax.plot(x, y, ls='none', marker=marker)
        ax.set_xlabel('X-label')
        ax.set_title('Axes title')
        return ax


    def plot_colored_sinusoidal_lines(ax):
        """Plot sinusoidal lines with colors following the style color cycle."""
        L = 2 * np.pi
        x = np.linspace(0, L)
        nb_colors = len(plt.rcParams['axes.prop_cycle'])
        shift = np.linspace(0, L, nb_colors, endpoint=False)
        for s in shift:
            ax.plot(x, np.sin(x + s), '-')
        ax.set_xlim([x[0], x[-1]])
        return ax


    def plot_bar_graphs(ax, prng, min_value=5, max_value=25, nb_samples=5):
        """Plot two bar graphs side by side, with letters as x-tick labels."""
        x = np.arange(nb_samples)
        ya, yb = prng.randint(min_value, max_value, size=(2, nb_samples))
        width = 0.25
        ax.bar(x, ya, width)
        ax.bar(x + width, yb, width, color='C2')
        ax.set_xticks(x + width)
        ax.set_xticklabels(['a', 'b', 'c', 'd', 'e'])
        return ax


    def plot_colored_circles(ax, prng, nb_samples=15):
        """
        Plot circle patches.

        NB: draws a fixed amount of samples, rather than using the length of
        the color cycle, because different styles may have different numbers
        of colors.
        """
        for sty_dict, j in zip(plt.rcParams['axes.prop_cycle'], range(nb_samples)):
            ax.add_patch(plt.Circle(prng.normal(scale=3, size=2),
                                    radius=1.0, color=sty_dict['color']))
        # Force the limits to be the same across the styles (because different
        # styles may have different numbers of available colors).
        ax.set_xlim([-4, 8])
        ax.set_ylim([-5, 6])
        ax.set_aspect('equal', adjustable='box')  # to plot circles as circles
        return ax


    def plot_image_and_patch(ax, prng, size=(20, 20)):
        """Plot an image with random values and superimpose a circular patch."""
        values = prng.random_sample(size=size)
        ax.imshow(values, interpolation='none')
        c = plt.Circle((5, 5), radius=5, label='patch')
        ax.add_patch(c)
        # Remove ticks
        ax.set_xticks([])
        ax.set_yticks([])


    def plot_histograms(ax, prng, nb_samples=10000):
        """Plot 4 histograms and a text annotation."""
        params = ((10, 10), (4, 12), (50, 12), (6, 55))
        for a, b in params:
            values = prng.beta(a, b, size=nb_samples)
            ax.hist(values, histtype="stepfilled", bins=30,
                    alpha=0.8, density=True)
        # Add a small annotation.
        ax.annotate('Annotation', xy=(0.25, 4.25),
                    xytext=(0.9, 0.9), textcoords=ax.transAxes,
                    va="top", ha="right",
                    bbox=dict(boxstyle="round", alpha=0.2),
                    arrowprops=dict(
                              arrowstyle="->",
                              connectionstyle="angle,angleA=-95,angleB=35,rad=10"),
                    )
        return ax


    def plot_figure(style_label=""):
        """Setup and plot the demonstration figure with a given style."""
        # Use a dedicated RandomState instance to draw the same "random" values
        # across the different figures.
        prng = np.random.RandomState(96917002)

        # Tweak the figure size to be better suited for a row of numerous plots:
        # double the width and halve the height. NB: use relative changes because
        # some styles may have a figure size different from the default one.
        (fig_width, fig_height) = plt.rcParams['figure.figsize']
        fig_size = [fig_width * 2, fig_height / 2]

        fig, axs = plt.subplots(ncols=6, nrows=1, num=style_label,
                                figsize=fig_size, squeeze=True)
        axs[0].set_ylabel(style_label)

        plot_scatter(axs[0], prng)
        plot_image_and_patch(axs[1], prng)
        plot_bar_graphs(axs[2], prng)
        plot_colored_circles(axs[3], prng)
        plot_colored_sinusoidal_lines(axs[4])
        plot_histograms(axs[5], prng)

        fig.tight_layout()

        return fig


    if __name__ == "__main__":

        # Setup a list of all available styles, in alphabetical order but
        # the `default` and `classic` ones, which will be forced resp. in
        # first and second position.
        style_list = ['default', 'classic'] + sorted(
            style for style in plt.style.available if style != 'classic')

        # Plot a demonstration figure for every available style sheet.
        for style_label in style_list:
            with plt.style.context(style_label):
                fig = plot_figure(style_label=style_label)

        plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  28.154 seconds)


.. _sphx_glr_download_gallery_style_sheets_style_sheets_reference.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download sphx-glr-download-python

     :download:`Download Python source code: style_sheets_reference.py <style_sheets_reference.py>`



  .. container:: sphx-glr-download sphx-glr-download-jupyter

     :download:`Download Jupyter notebook: style_sheets_reference.ipynb <style_sheets_reference.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    Keywords: matplotlib code example, codex, python plot, pyplot
    `Gallery generated by Sphinx-Gallery
    <https://sphinx-gallery.readthedocs.io>`_