histogram1d

Synopsis

Create a 1D histogram from a sequence of samples.

Syntax

histogram1d(x, x_lo, x_hi)

x - sequence of numbers
x_lo - sequence of numbers
x_hi - sequence of numbers

Description

See the `numpy.histogram` routine for a version with more options.

Examples

Example 1

A simple example, calculating the histogram of 1000 values randomly distributed over [0, 1).

>>> import numpy as np
>>> rng = np.random.default_rng()
>>> x = rng.random(1000)
>>> edges = np.linspace(0, 1, 11)
>>> xlo = edges[:-1]
>>> xhi = edges[1:]
>>> y = histogram1d(x, xlo, xhi)

Example 2

Given a list of samples, bin them up so that they can be used as the dependent axis (the value to be fitted) in a Sherpa data set:

>>> dataspace1d(1, 10, 1)
>>> lo, hi = get_indep()
>>> n = histogram1d([2, 3, 2, 8, 5, 2], lo, hi)
>>> set_dep(n)

PARAMETERS

The parameters for this function are:

Parameter	Definition
x	The array of samples
x_lo	The lower-edges of each bin.
x_hi	The upper-edges of each bin, which must be the same size as x_lo .

Return value

The return value from this function is:

y -- The number of samples in each histogram bin defined by the x_lo and x_hi arrays.

Changes in CIAO

Changed in CIAO 4.15

The x_lo and x_hi arguments are no-longer changed (sorted) by this routine.

Bugs

See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.