numpy.isnan() in Python (original) (raw)
Last Updated : 08 Mar, 2024
The numpy.isnan() function tests element-wise whether it is NaN or not and returns the result as a boolean array. Syntax :
numpy.isnan(array [, out])
Parameters :
array : [array_like]Input array or object whose elements, we need to test for infinity out : [ndarray, optional]Output array placed with result. Its type is preserved and it must be of the right shape to hold the output.
Return :
boolean array containing the result. For scalar input, the result is a new boolean with value True if the input is positive or negative infinity; otherwise the value is False. For array input, the result is a boolean array with the same shape as the input and the values are True where the corresponding element of the input is positive or negative infinity; elsewhere the values are False.
Code 1 :
Python `
Python Program illustrating
numpy.isnan() method
import numpy as geek
print("Is NaN : ", geek.isnan(1), "\n")
print("Is NaN : ", geek.isnan(0), "\n")
not a number
print("Is NaN : ", geek.isnan(geek.nan), "\n")
infinity
print("Is NaN : ", geek.isnan(geek.inf), "\n")
print("Is NaN : ", geek.isnan(geek.NINF), "\n")
x = geek.array([-geek.inf, 0., geek.inf]) y = geek.array([2, 2, 2]) print("Checking for NaN : ", geek.isnan(x, y))
`
Output :
Is NaN : False
Is NaN : False
Is NaN : True
Is NaN : False
Is NaN : False
Checking for NaN : [0 0 0]
Code 2 :
Python `
Python Program illustrating
numpy.isnan() method
import numpy as geek
Returns True/False value for each element
b = geek.arange(20).reshape(5, 4)
print("\n",b) print("\nIs NaN(Not a Number): \n", geek.isnan(b))
b = [[1j], [geek.nan]] print("\nIs NaN(Not a Number) : \n", geek.isnan(b))
`
Output :
[[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11] [12 13 14 15] [16 17 18 19]]
Is NaN(Not a Number): [[False False False False] [False False False False] [False False False False] [False False False False] [False False False False]]
Is NaN(Not a Number) : [[False] [ True]]
Note : These codes won't run on online IDE's. So please, run them on your systems to explore the working.