8000 adding keyword plotting · matplotlib/matplotlib@b97d6ec · GitHub
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adding keyword plotting
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‎doc/_static/mpl.css

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}
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a {
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color: #CA7900;
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color: #CA7900 !important;
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text-decoration: none;
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}
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‎doc/conf.py

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extensions = ['matplotlib.sphinxext.mathmpl', 'sphinxext.math_symbol_table',
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'sphinx.ext.autodoc', 'matplotlib.sphinxext.only_directives',
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'sphinx.ext.doctest', 'sphinx.ext.autosummary',
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'sphinx.ext.inheritance_diagram',
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'sphinx.ext.inheritance_diagram', 'sphinx.ext.intersphinx',
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'sphinx_gallery.gen_gallery',
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'matplotlib.sphinxext.plot_directive',
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'sphinxext.github',
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autodoc_docstring_signature = True
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intersphinx_mapping = {
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'python': ('http://docs.python.org/', None),
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'numpy': ('http://docs.scipy.org/doc/numpy-dev/', None),
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'scipy': ('http://scipy.github.io/devdocs/', None),
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'pandas': ('http://pandas.pydata.org/pandas-docs/stable', None)
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}
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# Sphinx gallery configuration
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sphinx_gallery_conf = {

‎examples/misc/keyword_plotting.py

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"""
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Plotting with keywords
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======================
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There are some instances where you have data in a format that lets you
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access particular variables with strings. For example, with
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:class:`numpy.recarray` or :class:`pandas.DataFrame`.
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Matplotlib allows you provide such an object with
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the ``data`` keyword argument. If provided, then you may generate plots with
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the strings corresponding to these variables.
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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np.random.seed(19680801)
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data = dict([(label, np.random.randn(50)) for label in ['a', 'b', 'c', 'd']])
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data['d'] = np.abs(data['d']) * 100
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fig, ax = plt.subplots()
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ax.scatter('a', 'b', c='c', s='d', data=data)
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ax.set(xlabel='a', ylabel='b')
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plt.show()

‎tutorials/01_introductory/pyplot.py

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plt.plot(t, t, 'r--', t, t**2, 'bs', t, t**3, 'g^')
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plt.show()
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###############################################################################
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# .. _plotting-with-keywords:
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#
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# Plotting with keyword strings
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# =============================
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#
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# There are some instances where you have data in a format that lets you
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# access particular variables with strings. For example, with
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# :class:`numpy.recarray` or :class:`pandas.DataFrame`.
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# Matplotlib allows you provide such an object with
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# the ``data`` keyword argument. If provided, then you may generate plots with
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# the strings corresponding to these variables.
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data = dict([(label, np.random.randn(50)) for label in ['a', 'b', 'c']])
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plt.plot('a', 'b', color='c', data=data)
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plt.xlabel('a')
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plt.ylabel('b')
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plt.show()
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###############################################################################
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# .. _controlling-line-properties:
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#

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