.. _sphx_glr_gallery_misc_keyword_plotting.py: ====================== Plotting with keywords ====================== There are some instances where you have data in a format that lets you access particular variables with strings. For example, with :class:`numpy.recarray` or :class:`pandas.DataFrame`. Matplotlib allows you provide such an object with the ``data`` keyword argument. If provided, then you may generate plots with the strings corresponding to these variables. .. image:: /gallery/misc/images/sphx_glr_keyword_plotting_001.png :align: center .. code-block:: python import numpy as np import matplotlib.pyplot as plt np.random.seed(19680801) data = {'a': np.arange(50), 'c': np.random.randint(0, 50, 50), 'd': np.random.randn(50)} data['b'] = data['a'] + 10 * np.random.randn(50) data['d'] = np.abs(data['d']) * 100 fig, ax = plt.subplots() ax.scatter('a', 'b', c='c', s='d', data=data) ax.set(xlabel='entry a', ylabel='entry b') plt.show() .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: keyword_plotting.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: keyword_plotting.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_