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

.. only:: html

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

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

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

.. _sphx_glr_auto_examples_plot_covid_dashboard.py:


Dashboard COVID France
======================

Graphe simple fait à partir des données sur open.data.gouv.fr.

.. contents::
    :local:

Récupération des données
++++++++++++++++++++++++

.. GENERATED FROM PYTHON SOURCE LINES 14-36

.. code-block:: default

    import os
    from datetime import datetime, timedelta
    import matplotlib.pyplot as plt
    from pandas import read_csv, to_datetime

    now = datetime.now()
    name = "covid-%d-%02d-%02d.csv" % (now.year, now.month, now.day)
    if os.path.exists(name):
        covid = read_csv(name)
    else:
        url = (
            "https://www.data.gouv.fr/en/datasets/r/"
            "d3a98a30-893f-47f7-96c5-2f4bcaaa0d71")
        covid = read_csv(url, sep=",")
        covid.to_csv(name, index=False)

    covid['date'] = to_datetime(covid['date'])
    now_4 = now - timedelta(120)
    covid = covid[covid.date >= now_4]
    covid = covid.set_index('date')
    covid.tail()






.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <div>
    <style scoped>
        .dataframe tbody tr th:only-of-type {
            vertical-align: middle;
        }

        .dataframe tbody tr th {
            vertical-align: top;
        }

        .dataframe thead th {
            text-align: right;
        }
    </style>
    <table border="1" class="dataframe">
      <thead>
        <tr style="text-align: right;">
          <th></th>
          <th>total_cas_confirmes</th>
          <th>total_deces_hopital</th>
          <th>total_deces_ehpad</th>
          <th>total_cas_confirmes_ehpad</th>
          <th>total_cas_possibles_ehpad</th>
          <th>patients_reanimation</th>
          <th>patients_hospitalises</th>
          <th>total_patients_gueris</th>
          <th>nouveaux_patients_hospitalises</th>
          <th>nouveaux_patients_reanimation</th>
        </tr>
        <tr>
          <th>date</th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
        </tr>
      </thead>
      <tbody>
      </tbody>
    </table>
    </div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 37-39

Cas positifs et décès
+++++++++++++++++++++

.. GENERATED FROM PYTHON SOURCE LINES 39-49

.. code-block:: default


    diff = covid.diff()
    fig, ax = plt.subplots(2, 1, figsize=(8, 8))
    diff['cas_positifs'] = diff['total_cas_confirmes'].rolling(
        7, center=False).mean()
    diff['deces'] = diff['total_deces_hopital'].rolling(7, center=False).mean()
    diff[["total_cas_confirmes", "cas_positifs"]].plot(
        ax=ax[0], title="Cas positifs")
    diff[["total_deces_hopital", "deces"]].plot(ax=ax[1], title="Décès")




.. image-sg:: /auto_examples/images/sphx_glr_plot_covid_dashboard_001.png
   :alt: Cas positifs, Décès
   :srcset: /auto_examples/images/sphx_glr_plot_covid_dashboard_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 50-52

Hôpital
+++++++

.. GENERATED FROM PYTHON SOURCE LINES 52-81

.. code-block:: default


    fig, ax = plt.subplots(3, 2, figsize=(12, 12))
    covid['weeklyh'] = covid['nouveaux_patients_hospitalises'].rolling(
        7, center=False).mean()
    covid['weeklyr'] = covid['nouveaux_patients_reanimation'].rolling(
        7, center=False).mean()
    covid[["nouveaux_patients_hospitalises", "weeklyh"]].plot(
        ax=ax[0, 0], title="Hospitalisations")
    covid[["nouveaux_patients_reanimation", "weeklyr"]].plot(
        ax=ax[1, 0], title="Réanimations")

    diff['weeklyh'] = diff['patients_hospitalises'].rolling(7, center=False).mean()
    diff['weeklyg'] = diff['total_patients_gueris'].rolling(7, center=False).mean()
    diff['weeklyr'] = diff['patients_reanimation'].rolling(7, center=False).mean()
    diff[["patients_hospitalises", "weeklyh", "total_patients_gueris",
          "weeklyg"]].plot(ax=ax[0, 1], title="Delta Hospitalisations")
    diff[["patients_reanimation", "weeklyr"]].plot(
        ax=ax[1, 1], title="Delta Réanimations")

    covid['weeklyph'] = covid['patients_hospitalises'].rolling(
        7, center=False).mean()
    covid['weeklypr'] = covid['patients_reanimation'].rolling(
        7, center=False).mean()
    covid[["patients_hospitalises", "weeklyph"]].plot(
        ax=ax[2, 0], title="Lits Hospitalisations")
    covid[["patients_reanimation", "weeklypr"]].plot(
        ax=ax[2, 1], title="Lits Réanimations")

    plt.show()



.. image-sg:: /auto_examples/images/sphx_glr_plot_covid_dashboard_002.png
   :alt: Hospitalisations, Delta Hospitalisations, Réanimations, Delta Réanimations, Lits Hospitalisations, Lits Réanimations
   :srcset: /auto_examples/images/sphx_glr_plot_covid_dashboard_002.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** ( 0 minutes  4.461 seconds)


.. _sphx_glr_download_auto_examples_plot_covid_dashboard.py:

.. only:: html

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




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

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

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

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


.. only:: html

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

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