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

.. only:: html

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

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

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

.. _sphx_glr_packages_statistics_auto_examples_plot_pandas.py:


Plotting simple quantities of a pandas dataframe
=================================================

This example loads from a CSV file data with mixed numerical and
categorical entries, and plots a few quantities, separately for females
and males, thanks to the pandas integrated plotting tool (that uses
matplotlib behind the scene).

See http://pandas.pydata.org/pandas-docs/stable/visualization.html

.. GENERATED FROM PYTHON SOURCE LINES 12-29



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


    *

      .. image-sg:: /packages/statistics/auto_examples/images/sphx_glr_plot_pandas_001.png
         :alt: Female, Male
         :srcset: /packages/statistics/auto_examples/images/sphx_glr_plot_pandas_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /packages/statistics/auto_examples/images/sphx_glr_plot_pandas_002.png
         :alt: plot pandas
         :srcset: /packages/statistics/auto_examples/images/sphx_glr_plot_pandas_002.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /packages/statistics/auto_examples/images/sphx_glr_plot_pandas_003.png
         :alt: plot pandas
         :srcset: /packages/statistics/auto_examples/images/sphx_glr_plot_pandas_003.png
         :class: sphx-glr-multi-img





.. code-block:: default


    import pandas

    data = pandas.read_csv('brain_size.csv', sep=';', na_values='.')

    # Box plots of different columns for each gender
    groupby_gender = data.groupby('Gender')
    groupby_gender.boxplot(column=['FSIQ', 'VIQ', 'PIQ'])

    from pandas import plotting

    # Scatter matrices for different columns
    plotting.scatter_matrix(data[['Weight', 'Height', 'MRI_Count']])
    plotting.scatter_matrix(data[['PIQ', 'VIQ', 'FSIQ']])

    import matplotlib.pyplot as plt
    plt.show()


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

   **Total running time of the script:** ( 0 minutes  0.656 seconds)


.. _sphx_glr_download_packages_statistics_auto_examples_plot_pandas.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_pandas.py <plot_pandas.py>`

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

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


.. only:: html

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

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