

.. _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


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.. code-block:: python


    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')
        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, normed=True)
        # Add a small annotation.
        ax.annotate('Annotation', xy=(0.25, 4.25), xycoords='data',
                    xytext=(0.9, 0.9), textcoords='axes fraction',
                    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, axes = plt.subplots(ncols=6, nrows=1, num=style_label,
                                 figsize=fig_size, squeeze=True)
        axes[0].set_ylabel(style_label)

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

**Total running time of the script:** ( 0 minutes  5.847 seconds)



.. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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

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

    `Generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_
