.. note:: :class: sphx-glr-download-link-note Click :ref:`here ` 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 .. rst-class:: sphx-glr-horizontal * .. image:: /packages/statistics/auto_examples/images/sphx_glr_plot_pandas_001.png :class: sphx-glr-multi-img * .. image:: /packages/statistics/auto_examples/images/sphx_glr_plot_pandas_002.png :class: sphx-glr-multi-img * .. image:: /packages/statistics/auto_examples/images/sphx_glr_plot_pandas_003.png :class: sphx-glr-multi-img .. code-block:: python 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.tools 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() **Total running time of the script:** ( 0 minutes 0.458 seconds) .. _sphx_glr_download_packages_statistics_auto_examples_plot_pandas.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download :download:`Download Python source code: plot_pandas.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: plot_pandas.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_