NumPy | Python Methods and Functions

` `

calculates statistic value for given data (array elements). ** stats.binned_statistic (x, values, statistic = & # 39; mean & # 39 ;, bins = 10, range = None) **

It works similarly to the

` # stats.binned_statistic () method `

` import `

` numpy as np `

` from `

` scipy `

` import `

` stats `

` # 1D array `

` arr `

` = `

` [`

` 20 `

`, `

` 2 `

`, `

` 7 `

`, `

` 1 `

`, `

` 34 `

`] `

` print `

` ( `

` "arr:" `

`, arr) `

` `

` # median `

` print `

` (`

` "binned_statistic for median:" `

` , stats.binned_statistic (`

` arr, np.arange (`

` 5 `

`), statistic `

` = `

` `median` `

`, bins `

` = `

` 4 `

`)) `

** Output: **

arr: [20, 2, 7, 1, 34] binned_statistic for median: BinnedStatisticResult (statistic = array ([2., nan, 0., 4.]), bin_edges = array ([1 ., 9.25, 17.5, 25.75, 34.]), binnumber = arr ay ([3, 1, 1, 1, 4], dtype = int64))

** Code # 2: **

` ` |

** Output: **

binned_statistic for mean: BinnedStatisticResult (statistic = array ([2., 2.]), bin_edges = array ([1., 17.5, 34.]), binnumber = array ([2, 1, 1, 1, 2], dtype = int64))

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