.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "11_demos\python_packages\matplotlib\demo_dateaxis.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_11_demos_python_packages_matplotlib_demo_dateaxis.py>`
        to download the full example code.

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

.. _sphx_glr_11_demos_python_packages_matplotlib_demo_dateaxis.py:

Date axis
============

Load a numpy record array from yahoo csv data with fields date, open, close,
volume, adj_close from the mpl-data/example directory. The record array
stores the date as an np.datetime64 with a day unit ('D') in the date column.

.. GENERATED FROM PYTHON SOURCE LINES 8-56



.. image-sg:: /11_demos/python_packages/matplotlib/images/sphx_glr_demo_dateaxis_001.png
   :alt: demo dateaxis
   :srcset: /11_demos/python_packages/matplotlib/images/sphx_glr_demo_dateaxis_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none

    C:\Workspace\itom_development_VS2019_Qt5.15.2_x64\itomProject\itom\demo\python_packages\matplotlib\demo_dateaxis.py:24: MatplotlibDeprecationWarning:

    The 'np_load' parameter of get_sample_data() was deprecated in Matplotlib 3.8 and will be removed in 3.10. Use open(get_sample_data(..., asfileobj=False)) instead. If any parameter follows 'np_load', they should be passed as keyword, not positionally.







|

.. code-block:: Python


    import numpy as np
    import matplotlib.pyplot as plt
    import matplotlib.dates as mdates
    import matplotlib.cbook as cbook
    import matplotlib

    years = mdates.YearLocator()  # every year
    months = mdates.MonthLocator()  # every month
    yearsFmt = mdates.DateFormatter("%Y")


    if matplotlib.__version__ < "3.3.0":
        with cbook.get_sample_data("goog.npz") as datafile:
            r = np.load(datafile)
    else:
        r = cbook.get_sample_data("goog.npz", np_load=True)

    r = r["price_data"].view(np.recarray)

    fig, ax = plt.subplots()
    ax.plot(r.date, r.adj_close)

    # format the ticks
    ax.xaxis.set_major_locator(years)
    ax.xaxis.set_major_formatter(yearsFmt)
    ax.xaxis.set_minor_locator(months)

    # round to nearest years...
    datemin = np.datetime64(r.date[0], "Y")
    datemax = np.datetime64(r.date[-1], "Y") + np.timedelta64(1, "Y")
    ax.set_xlim(datemin, datemax)


    # format the coords message box
    def price(x):
        return "$%1.2f" % x


    ax.format_xdata = mdates.DateFormatter("%Y-%m-%d")
    ax.format_ydata = price
    ax.grid(True)

    # rotates and right aligns the x labels, and moves the bottom of the
    # axes up to make room for them
    fig.autofmt_xdate()

    plt.show()


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

   **Total running time of the script:** (0 minutes 0.105 seconds)


.. _sphx_glr_download_11_demos_python_packages_matplotlib_demo_dateaxis.py:

.. only:: html

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

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

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

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

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

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

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