scipy.stats.histogram¶
- scipy.stats.histogram(a, numbins=10, defaultlimits=None, weights=None, printextras=False)¶
Separates the range into several bins and returns the number of instances of a in each bin. This histogram is based on numpy’s histogram but has a larger range by default if default limits is not set.
Parameters : 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 then 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, the number of extra points is printed to standard output. Default is False.
Returns : histogram: ndarray :
Number of points (or sum of weights) in each bin.
low_range: 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.
See also
