numpy.ma.MaskedArray.count() function count the non-masked elements of the array along the given axis.
Syntax : numpy.ma.MaskedArray.count(self, axis=None, keepdims = no value)
Parameters :
axis : [None or int or tuple of ints, optional] Axis along which the count is performed. The default axis is None, performs the count over all the dimensions of the input array. axis may be negative, in which case it counts from the last to the first axis.
keepdims : [bool, optional] If this is set to True, the axis which is reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the array.Return : [ndarray or scalar] An array with the same shape as the input array, with the specified axis removed. If the array is a 0-d array, or if axis is None, a scalar is returned.
Code #1 :
# Python program explaining # numpy.ma.MaskedArray.count() function # importing numpy as geek # and numpy.ma module as ma import numpy as geek import numpy.ma as ma arr = ma.arange(6).reshape((2, 3)) arr[1, :] = ma.masked gfg = arr.count(axis = 0) print (gfg) |
Output :
[1 1 1]
Code #2 :
# Python program explaining # numpy.ma.MaskedArray.count() function # importing numpy as geek # and numpy.ma module as ma import numpy as geek import numpy.ma as ma arr = ma.arange(6).reshape((2, 3)) arr[1, :] = ma.masked gfg = arr.count() print (gfg) |
Output :
3
