.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "example_gallery/utility/matplotlib_vs_plothist_style.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_example_gallery_utility_matplotlib_vs_plothist_style.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_example_gallery_utility_matplotlib_vs_plothist_style.py:


Default style: matplotlib vs plothist
=====================================

Illustration of the difference between matplotlib and plothist default styles.

.. GENERATED FROM PYTHON SOURCE LINES 7-64



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


    *

      .. image-sg:: /example_gallery/utility/images/sphx_glr_matplotlib_vs_plothist_style_001.svg
         :alt: matplotlib vs plothist style
         :srcset: /example_gallery/utility/images/sphx_glr_matplotlib_vs_plothist_style_001.svg
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /example_gallery/utility/images/sphx_glr_matplotlib_vs_plothist_style_002.svg
         :alt: matplotlib vs plothist style
         :srcset: /example_gallery/utility/images/sphx_glr_matplotlib_vs_plothist_style_002.svg
         :class: sphx-glr-multi-img





.. code-block:: Python


    import matplotlib.pyplot as plt
    import numpy as np
    from plothist_utils import get_dummy_data

    df = get_dummy_data()

    figs = []

    for style in ["matplotlib", "plothist"]:
        if style == "matplotlib":
            plt.style.use("default")
            plt.rcParams["font.family"] = "DejaVu Sans"
        else:
            # No need to set the style if we use plothist, just importing it is enough
            # Here we set the style because the matplotlib style was set before
            from plothist import set_style

            set_style("default")

        # Create a figure with subplots
        fig, (ax1, ax2) = plt.subplots(
            2, 1, figsize=(6, 5.4), sharex=True, gridspec_kw={"height_ratios": [4, 1]}
        )

        # Plot histograms in the first subplot (ax1)
        hist_0, bins, _ = ax1.hist(
            df["variable_0"], bins=20, histtype="step", linewidth=1.2, label="h1"
        )
        h1 = ax1.hist(
            df["variable_1"], bins=bins, histtype="step", linewidth=1.2, label="h2"
        )
        ax1.set_ylabel("Entries")
        ax1.legend()

        # Calculate the ratio of histogram values and plot in the second subplot (ax2)
        with np.errstate(divide="ignore", invalid="ignore"):
            ratio = hist_0 / h1[0]  # Divide bin values of variable_0 by variable_1
        bin_centers = 0.5 * (bins[:-1] + bins[1:])  # Calculate bin centers

        # Create fake error bars for the ratio
        ax2.plot(bin_centers, ratio, marker="|", linestyle="", markersize=15, color="black")
        ax2.plot(bin_centers, ratio, marker="o", linestyle="", markersize=4, color="black")

        ax2.axhline(y=1, color="black", linestyle="--", linewidth=0.8)
        ax2.set_xlabel("Variable")
        ax2.set_ylabel("Ratio")

        ax1.set_xlim(-10, 10)
        ax2.set_xlim(-10, 10)
        ax2.set_ylim(0, 2)

        fig.subplots_adjust(hspace=0.15)

        fig.savefig(f"{style}_example.svg", bbox_inches="tight")

        figs.append(fig)


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

   **Total running time of the script:** (0 minutes 1.095 seconds)


.. _sphx_glr_download_example_gallery_utility_matplotlib_vs_plothist_style.py:

.. only:: html

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

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

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

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

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

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: matplotlib_vs_plothist_style.zip <matplotlib_vs_plothist_style.zip>`


.. only:: html

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

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_