statsmodels.graphics.gofplots.ProbPlot.probplot

ProbPlot.probplot(xlabel=None, ylabel=None, line=None, exceed=False, ax=None, **plotkwargs)

Probability plot of the unscaled quantiles of x versus the probabilities of a distribution (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, ylabelstr or None, optional

User-provided labels for the x-axis and y-axis. 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’ - 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.

exceedbool, 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.