adbin_hist1d¶
-
hep_spt.adbin_hist1d(arr, nbins=100, range=None, weights=None, is_sorted=False, reduce_bias=False, **kwargs)[source]¶ Create an adaptive binned histogram in one dimension.
- Parameters
arr (numpy.ndarray) – array of data.
nbins (int) – number of bins. Must be greater than the length of the input array.
range (None or tuple(float, float)) – range of the histogram.
weights (numpy.ndarray) – optional array of weights.
is_sorted (bool) – whether the input sample is already sorted or not.
reduce_bias (bool) – if set to True, the array will be processed twice (backward and forward) to reduce any kind of bias produced. See
adbin_hist1d_edges()for more details.kwargs (dict) – any other argument to be passed to
plotting.errorbar_hist().
- Returns
Values, edges, the distance between the center and the bounds of the bins in X and Y errors. The shape of the errors in Y depends on the uncertainty type passed to
errorbar_hist()in “kwargs”.- Return type
See also