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 PP plot).
The xaxis is scaled linearly with the quantiles, but the probabilities are used to label the axis.
Parameters:  ylabel (xlabel,) – Userprovided lables for the xaxis and yaxis. 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’  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.
 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 – If ax is None, the created figure. Otherwise the figure to which ax is connected.
Return type: Matplotlib figure instance