mqr.plot.process.

pdf#

mqr.plot.process.pdf(sample: Sample, ax, nsigma=None, cp=None, bins='auto', show_long_term=False, short_kws=None, long_kws=None)#

Plots a Gaussian PDF for the given sample.

The PDF is truncated at six sigmas on each side.

Parameters:

samplemqr.process.Sample: Sample to plot.
axmatplotlib.axes.Axes: Axes for the plot.
nsigmafloat, optional: How many stddevs of the Gaussian PDF to plot (total). Default 6.
cpfloat, optional: Width of the plot in triples of the standard deviation. Ie. when cp is 2, the width will be 6 standard deviations. Default 2.
binsstr, optional: Passed to numpy.histogram_bin_edges. Can be used to ensure the density corresponds to a histogram on the same plot.
show_long_termbool, optional: Plots two more densities shifted left and right by 1.5 standard deviations.
short_kwsdict, optional: Keyword arguments passed to matplotlib.pyplot.plot for short-term densities.
long_kwsdict, optional: Keyword arguments passed to matplotlib.pyplot.fill_between for long-term densities.

Examples