`scipy.stats._stats_py:_histogram`

Signature

   def     _histogram (    a    ,    numbins    =  10   ,    defaultlimits    =  None   ,    weights    =  None   ,    printextras    =  False     )

Create a histogram.

Separate the range into several bins and return the number of instances in each bin.

a : array_like: Array of scores which will be put into bins.
numbins : int, optional: The number of bins to use for the histogram. Default is 10.
defaultlimits : tuple (lower, upper), optional: The lower and upper values for the range of the histogram. If no value is given, a range slightly larger than the range of the values in a is used. Specifically (a.min() - s, a.max() + s), where s = (1/2)(a.max() - a.min()) / (numbins - 1).
weights : array_like, optional: The weights for each value in a. Default is None, which gives each value a weight of 1.0
printextras : bool, optional: If True, if there are extra points (i.e. the points that fall outside the bin limits) a warning is raised saying how many of those points there are. Default is False.

count : ndarray: Number of points (or sum of weights) in each bin.
lowerlimit : float: Lowest value of histogram, the lower limit of the first bin.
binsize : float: The size of the bins (all bins have the same size).
extrapoints : int: The number of points outside the range of the histogram.

This histogram is based on numpy's histogram but has a larger range by default if default limits is not set.