sciPy function stats.binned_statistic () | python

NumPy | Python Methods and Functions

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

# stats.binned_statistic () method

import numpy as np

   from   scipy   import   stats 
   
  # greedy   
  arr   =   [  20  ,   2  ,   7  ,   1  ,   34  ] 
   print   ( " binned_statistic for mean: " , stats.binned_statistic (
    arr, np.arange (  5  ), statistic   =  ` mean`  , bins   =   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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sciPy function stats.binned_statistic () | python

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