@@ -26,31 +26,31 @@ def probplot(data, ax=None, axtype='prob', dist=None, probax='x',
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dist : scipy distribution, optional
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A distribtion to compute the scale's tick positions. If not
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specified, a normal distribution will be used.
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+ probax : string, optional (default = 'x')
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+ The axis ('x' or 'y') that will serve as the probability (or
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+ quantile) axis.
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color : valid matplotlib color specification, optional
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If provided, this value will be added to the ``scatter_kws``
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and ``line_kws`` dictionary under the "color" key.
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label : string, optional
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If provided, this legend label is applied to the scatter series
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of the probability plot.
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- probax : string, optional (default = 'x')
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- The axis ('x' or 'y') that will serve as the probability (or
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- quantile) axis.
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otherscale : string, optional (default = 'log')
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Scale for the other axis that is not
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xlabel, ylabel : string, optional
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Axis labels for the plot.
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bestfit : bool, optional (default is False)
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Specifies whether a best-fit line should be added to the
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plot.
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+ return_results : bool (default = False)
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+ If True a dictionary of results of is returned along with the
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+ figure.
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scatter_kws, line_kws : dictionary, optional
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Dictionary of keyword arguments passed directly to ``ax.plot``
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when drawing the scatter points and best-fit line, respectively.
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pp_kws : dictionary, optional
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Dictionary of keyword arguments passed directly to
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``viz.plot_pos``.
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- return_results : bool (default = False)
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- If True a dictionary of results of is returned along with the
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- figure.
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Returns
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-------
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