Taylor diagram helper class
Plot model standard deviation and correlation to reference (data) sample in a single-quadrant polar plot, with r=stddev and theta=arccos(correlation).
This class was released as public domain by the original author Yannick Copin. You can find the original Gist where it was released at: https://gist.github.com/ycopin/3342888
Set up Taylor diagram axes, i.e. single quadrant polar plot, using mpl_toolkits.axisartist.floating_axes. refstd is the reference standard deviation to be compared to.
Add a line between two points [std1, corr1] and [std2, corr2]
Add constant centered RMS difference contours.
Add sample (stddev,corrcoeff) to the Taylor diagram. args and kwargs are directly propagated to the Figure.plot command.
Add a curved line with a radius of std between two points [std, corr1] and [std, corr2]
Draw a barchart.
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Draw a multiple panel contour map plot.
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Draw a portrait diagram plot.
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Draw subregion domain(s) on a map.
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Draw a Taylor diagram.
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Draw a time series plot.
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Sets the default colormap (eg when setting cmap=None in a function) See: http://matplotlib.org/examples/pylab_examples/show_colormaps.html for a list of possible colormaps. Appending ‘_r’ to a matplotlib colormap name will give you a reversed version of it.
Parameters: | name (string) – The name of the colormap. |
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