The numpy.isnan() function tests element-wise whether it is NaN or not and returns the result as a boolean array.
numpy.isnan(array [, out])
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.
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 :
Is NaN : False Is NaN : False Is NaN : True Is NaN : False Is NaN : False Checking for NaN : [0 0 0]
Code 2 :
[[ 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]]
These codes won’t run on online-ID. Please run them on your systems to explore the working.
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