Hist1d#

class atompy.Hist1d(_histogram: numpy.ndarray[tuple[Any, ...], numpy.dtype[numpy.float64]], _edges: numpy.ndarray[tuple[Any, ...], numpy.dtype[numpy.float64]])[source]#

Attributes:

bins: Get the number of bins.
binwidths: Get the widths of each bin.
centers: Return centers of the histogram’s bins
edges: Return the bin edges.
for_plot: Returns bin-centers and bin-values
for_step: Returns right edges and bin-values
histogram: The values of the histogram.
integral: Calculate integral of histogram.
normalized_to_integral: Returns the histogram normalized to its integral.
normalized_to_max: Returns the histogram normalized to its maximum.
normalized_to_sum: Returns the histogram normalized to its sum.
sum: Returns sum of histogram.

Methods

`rebinned`(factor)	Rebin histogram
`save_to_file`(fname, **kwargs)	Save histogram to file (i.e., centers and bin-values)
`within_range`(range_[, keepdims])	Return a `Hist1d` only within range_[0] and range_[1].
`without_range`(range_)	Return a `Hist1d` excluding everything within range_[0] and range_[1].