ProbPlot.ppplot()

statsmodels.graphics.gofplots.ProbPlot.ppplot

ProbPlot.ppplot(xlabel=None, ylabel=None, line=None, other=None, ax=None, **plotkwargs) [source]

P-P plot of the percentiles (probabilities) of x versus the probabilities (percetiles) of a distribution.

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.

other : ProbPlot instance, array-like, or None, optional

If provided, the sample quantiles of this ProbPlot instance are plotted against the sample quantiles of the other ProbPlot instance. If an array-like object is provided, it will be turned into a ProbPlot instance using default parameters. If not provided (default), the theoretical quantiles are used.

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.

doc_statsmodels
2017-01-18 16:14:30
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