@@ -82,28 +82,28 @@ minimum and maximum colorbar extensions.
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Set default bounding box in matplotlibrc
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- Two new defaults are available in the matplotlibrc configuration file.
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- These are savefig.bbox, which can be set to 'standard' or 'tight,' and
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- savefig.pad_inches, which controls the bounding box padding.
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+ Two new defaults are available in the matplotlibrc configuration file:
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+ `` savefig.bbox `` , which can be set to 'standard' or 'tight', and
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+ `` savefig.pad_inches `` , which controls the bounding box padding.
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New Boxplot Functionality
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-------------------------
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Users can now incorporate their own methods for computing the median and its
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- confidence intervals into the boxplot method. For every column of data passed
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- to boxplot, the user can specify an accompanying median and confidence
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- interval.
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- :meth: ` matplotlib.axes.boxplot `
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- .. plot :: examples /pylab_examples/boxplot_demo3.py
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+ confidence intervals into the :meth: ` ~matplotlib.axes. boxplot` method. For
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+ every column of data passed to boxplot, the user can specify an accompanying
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+ median and confidence interval.
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+
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+ .. plot :: mpl_examples /pylab_examples/boxplot_demo3.py
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New RC parameter functionality
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------------------------------
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- Matthew Emmett added a function and a context manager to help manage
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- RC parameters: :func: `~matplotlib.rc_file ` and
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- :class: ` ~matplotlib.rc_context `. To load RC paramters from a file::
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+ Matthew Emmett added a function and a context manager to help manage RC
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+ parameters: :func: `~matplotlib.rc_file ` and :class: ` ~matplotlib.rc_context `.
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+ To load RC parameters from a file::
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>>> mpl.rc_file('mpl.rc')
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