calculate_bin_edges

astropy.stats.calculate_bin_edges(a: ArrayLike, bins: int | list[int | float] | Literal['blocks', 'knuth', 'scott', 'freedman'] | None = 10, range: tuple[int | float, int | float] | None = None, weights: ArrayLike | None = None) → NDArray[float]

Calculate histogram bin edges like numpy.histogram_bin_edges.

Parameters:

anumpy:array_like

Input data. The bin edges are calculated over the flattened array.

binspython:int, python:list, or python:str, optional

If bins is an int, it is the number of bins. If it is a list it is taken to be the bin edges. If it is a string, it must be one of ‘blocks’, ‘knuth’, ‘scott’ or ‘freedman’. See histogram for a description of each method.

rangepython:tuple or python:None, optional

The minimum and maximum range for the histogram. If not specified, it will be (a.min(), a.max()). However, if bins is a list it is returned unmodified regardless of the range argument.

weightsnumpy:array_like, optional

An array the same shape as a. If given, the histogram accumulates the value of the weight corresponding to a instead of returning the count of values. This argument does not affect determination of bin edges, though they may be used in the future as new methods are added.

Returns:

binsndarray

Histogram bin edges