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Commit 3800cda

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dstansbydstansby
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Remove 'Demo' from stats example titles
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‎examples/statistics/boxplot.py

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"""
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Demo of artist customization in box plots
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Artist customization in box plots
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This example demonstrates how to use the various kwargs
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to fully customize box plots. The first figure demonstrates

‎examples/statistics/bxp.py

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"""
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Demo of the boxplot drawer function
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Boxplot drawer function
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This example demonstrates how to pass pre-computed box plot
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statistics to the box plot drawer. The first figure demonstrates

‎examples/statistics/customized_violin.py

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"""
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Demo of violin plot customization
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Violin plot customization
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This example demonstrates how to fully customize violin plots.
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The first plot shows the default style by providing only

‎examples/statistics/errorbar.py

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"""
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Demo of the errorbar function
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Errorbar function
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This exhibits the most basic use of the error bar method.
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In this case, constant values are provided for the error

‎examples/statistics/errorbar_features.py

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"""
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Demo of the different ways of specifying error bars
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Different ways of specifying error bars
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Errors can be specified as a constant value (as shown in
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`errorbar_demo.py`). However, this example demonstrates

‎examples/statistics/errorbar_limits.py

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"""
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Demo of how to include upper and lower limits in error bars
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Including upper and lower limits in error bars
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In matplotlib, errors bars can have "limits". Applying limits to the
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error bars essentially makes the error unidirectional. Because of that,

‎examples/statistics/errorbars_and_boxes.py

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"""
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Demo on creating boxes from error bars using PatchCollection
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Creating boxes from error bars using PatchCollection
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In this example, we snazz up a pretty standard error bar plot by adding
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a rectangle patch defined by the limits of the bars in both the x- and

‎examples/statistics/histogram_cumulative.py

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"""
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Demo of using histograms to plot a cumulative distribution
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Using histograms to plot a cumulative distribution
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This shows how to plot a cumulative, normalized histogram as a
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step function in order to visualize the empirical cumulative

‎examples/statistics/multiple_histograms_side_by_side.py

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"""
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Demo of how to produce multiple histograms side by side
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Producing multiple histograms side by side
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This example plots horizontal histograms of different samples along
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a categorical x-axis. Additionally, the histograms are plotted to

‎examples/statistics/violinplot.py

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"""
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Demo of the basics of violin plots
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Violin plot basics
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Violin plots are similar to histograms and box plots in that they show
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an abstract representation of the probability distribution of the

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