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

.. only:: html

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

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

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

.. _sphx_glr_seismo_matplotlib_chist.py:


Colored histogram
------------------
This is en example of histogram with colored bars.

.. GENERATED FROM PYTHON SOURCE LINES 7-39



.. image-sg:: /seismo/matplotlib/images/sphx_glr_chist_001.png
   :alt: chist
   :srcset: /seismo/matplotlib/images/sphx_glr_chist_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none

    /home/runner/micromamba/envs/docs/lib/python3.12/site-packages/scikits/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
      __import__("pkg_resources").declare_namespace(__name__)






|

.. code-block:: Python


    import numpy as np
    import matplotlib.pyplot as plt
    from scipy import stats
    from matplotlib import colors


    def plot(nsamp=5000):
        rng = np.random.default_rng(19680801)
        dist = rng.standard_normal(nsamp)
        fig, ax = plt.subplots()
        ax.grid()
        N, bins, patches = ax.hist(dist, bins=40)
        fracs = N / N.max()
        norm = colors.Normalize(fracs.min(), fracs.max())
        for thisfrac, thispatch in zip(fracs, patches):
            color = plt.cm.Blues(norm(thisfrac))
            thispatch.set_facecolor(color)
        mean = np.mean(dist)
        std = np.std(dist)
        ci = stats.norm.interval(0.90, loc=mean, scale=std)
        ax.text(0.01, 0.99, "90% Confidence interval = [{:.3f}, {:.3f}]".format(*ci), size=8,
                va='top', ha='left', transform=ax.transAxes,
                bbox=dict(boxstyle="round",
                            ec=(0.5, 0.5, 0.5),
                            fc=(0.9, 0.9, 0.9),
                            )
                )
        ax.set_ylabel('Count')


    if __name__ == '__main__':
        plot()

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

   **Total running time of the script:** (0 minutes 0.647 seconds)


.. _sphx_glr_download_seismo_matplotlib_chist.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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