statsmodels.graphics.gofplots.ProbPlot.probplot¶
method

ProbPlot.
probplot
(xlabel=None, ylabel=None, line=None, exceed=False, ax=None, **plotkwargs)[source]¶ Probability plot of the unscaled quantiles of x versus the probabilities of a distibution (not to be confused with a PP plot).
The xaxis is scaled linearly with the quantiles, but the probabilities are used to label the axis.
 Parameters
 xlabel, ylabelstr or None, optional
Userprovided lables for the xaxis and yaxis. If None (default), other values are used depending on the status of the kwarg other.
 linestr {‘45’, ‘s’, ‘r’, q’} or None, optional
Options for the reference line to which the data is compared:
‘45’  45degree line
‘s’  standardized line, the expected order statistics are scaled by the standard deviation of the given sample and have the mean added to them
‘r’  A regression line is fit
‘q’  A line is fit through the quartiles.
None  by default no reference line is added to the plot.
 exceedboolean, optional
If False (default) the raw sample quantiles are plotted against the theoretical quantiles, show the probability that a sample will not exceed a given value
If True, the theoretical quantiles are flipped such that the figure displays the probability that a sample will exceed a given value.
 axMatplotlib AxesSubplot instance, optional
If given, this subplot is used to plot in instead of a new figure being created.
 **plotkwargsadditional matplotlib arguments to be passed to the
plot command.
 Returns
 figMatplotlib figure instance
If ax is None, the created figure. Otherwise the figure to which ax is connected.