In an array of +ve integers, the numpy.bincount() method counts the occurrence of each element. Each bin value is the occurrence of its index. One can also set the bin size accordingly.
Syntax :
numpy.bincount(arr, weights = None, min_len = 0)
Parameters :
arr : [array_like, 1D]Input array, having positive numbers
weights : [array_like, optional]same shape as that of arr
min_len : Minimum number of bins we want in the output array
Return :
Output array with no. of occurrence of index value of bin in input - arr.
Output array, by default is of the length max element of arr + 1.
Here size of the output array would be max(input_arr)+1.
Code 1 : Working of bincount() in NumPy
Output :
Bincount output :
[0 4 2 0 0 0 1]
size of bin : 7
Bincount output :
[0 1 3 0 1 5]
size of bin : 6
Bincount output :
[0 1 3 0 1 5 0 0 0 0]
size of bin : 10
Code 2 : We can perform addition as per element with bincount() weight
