2.2.3.9. sdepy.montecarlo.density_histogram

montecarlo.density_histogram()[source]

Distribution of the cumulated sample data, as a normalized counts histogram.

Returns a (counts, bins) tuple of arrays representing the one-dimensional density histogram data of the distribution of cumulated samples (as returned by numpy.histogram, the sum of the counts times the bins’ widths is 1).

May systematically over-estimate the probability distribution within the bins’ boundaries if part of the cumulated samples data (accounted for in the outpaths property and outerr method) fall outside.