NumPy | Python Methods and Functions

** **

` `

works to split a range into multiple bins and then returns the number of instances in each bin. This function is used to build a histogram. ** scipy.stats.histogram (a, numbins, defaultreallimits, weights, printextras) **

Parameters:

arr:[array_like] input array.

numbins:[int] number of bins to use for the histogram. [Default = 10]

defaultlimits:(lower, upper) range of the histogram.

weights:[array_like] weights for each array element.

printextras:[array_like] to print the no, if extra points to the standard output, if true

Results:

- cumulative frequency binned values

- width of each bin

- lower real limit

- extra points.

** Code # 1: **

` ` |

** Output: **

No. of points in each bin: [0 2 4 1] Size of the bins: [0 1 2 3 4]

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