# 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: ylabel (xlabel,) – 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. fig – If ax is None, the created figure. Otherwise the figure to which ax is connected. Matplotlib figure instance