scipy.stats.itemfreq(arr, axis = None) function helps us to calculate the item frequencies.
Parameters :
arr : [array_like] input array.
Results : 2D array with item frequency.
Code #1: Use of variation()
Python3
# cumulative frequency from scipy import stats import numpy as np arr = [14, 31, 27, 27, 31, 13, 14, 13] print ("Itemfrequency : \n", stats.itemfreq(arr)) print ("\n\nBincount : \n", np.bincount(arr)) |
Output:
Itemfrequency : [[13 2] [14 2] [27 2] [31 2]] Bincount : [0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 2]
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