ProbPlot.probplot()

statsmodels.graphics.gofplots.ProbPlot.probplot

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 P-P plot).

The x-axis is scaled linearly with the quantiles, but the probabilities are used to label the axis.

Parameters:

xlabel, ylabel : str or None, optional User-provided lables for the x-axis and y-axis. If None (default), other values are used depending on the status of the kwarg other. line : str {?45?, ?s?, ?r?, q?} or None, optional Options for the reference line to which the data is compared: ?45? - 45-degree 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. exceed : boolean, 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. ax : Matplotlib AxesSubplot instance, optional If given, this subplot is used to plot in instead of a new figure being created. **plotkwargs : additional matplotlib arguments to be passed to the plot command.

Returns:

fig : Matplotlib figure instance If ax is None, the created figure. Otherwise the figure to which ax is connected.