@@ -70,20 +70,20 @@ containing the positions for each element of the boxplots. Then
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a second method, :func: `~matplotlib.Axes.bxp ` is called to draw the boxplots
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based on the stats.
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- The :func: ~matplotlib.pyplot.boxplot function can be used as before to
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+ The :func: ` ~matplotlib.pyplot.boxplot ` function can be used as before to
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generate boxplots from data in one step. But now the user has the
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flexibility to generate the statistics independently, or to modify the
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- output of :func: ~matplotlib.cbook.boxplot_stats prior to plotting
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- with :func: ~matplotlib.Axes.bxp.
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+ output of :func: ` ~matplotlib.cbook.boxplot_stats ` prior to plotting
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+ with :func: ` ~matplotlib.Axes.bxp ` .
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Lastly, each artist (e.g., the box, outliers, cap, notches) can now be
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toggled on or off and their styles can be passed in through individual
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kwargs. See the examples:
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- :ref: `~examples/ statistics/ boxplot_demo.py ` and
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- :ref: `~examples/ statistics/ bxp_demo.py `
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+ :ref: `statistics- boxplot_demo ` and
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+ :ref: `statistics- bxp_demo `
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- Added a bool kwarg, `manage_xticks `, which if False disables the management
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- of the xtick and xlim by ` boxplot `.
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+ Added a bool kwarg, :code: `manage_xticks `, which if False disables the management
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+ of the ticks and limits on the x-axis by :func: ` ~matplotlib.axes.Axes.bxp `.
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Support for datetime axes in 2d plots
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`````````````````````````````````````
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