sample : array_like
The data to be histogrammed. It must be an (N,D) array or data
that can be converted to such. The rows of the resulting array
are the coordinates of points in a D dimensional polytope.
bins : sequence or int, optional
The bin specification:
- A sequence of arrays describing the bin edges along each dimension.
- The number of bins for each dimension (nx, ny, ... =bins)
- The number of bins for all dimensions (nx=ny=...=bins).
range : sequence, optional
A sequence of lower and upper bin edges to be used if the edges are
not given explicitely in bins. Defaults to the minimum and maximum
values along each dimension.
normed : boolean, optional
If False, returns the number of samples in each bin. If True, returns
the bin density, ie, the bin count divided by the bin hypervolume.
weights : array_like (N,), optional
An array of values w_i weighing each sample (x_i, y_i, z_i, ...).
Weights are normalized to 1 if normed is True. If normed is False, the
values of the returned histogram are equal to the sum of the weights
belonging to the samples falling into each bin.