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 whichax
is connected.
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