This is an online compiler that supports the NumPy library..
#Programm to show use of numpy.isnan() method
import numpy as np
# Returns True/False value elementwise
b = np.arange(25).reshape(5, 5)
print("\nIs NaN: \n", np.isnan(b))
c = [[1,2,3],
print("\nIs NaN: \n", np.isnan(c))
If the code takes user input, put it here. For multiple inputs, one per line
NumPy is a widely used Python library that supports large, multidimensional arrays and metrics. Using NumPy, you can perform operations using a large collection of high-level mathematical functions to operate on arrays.
For scientific computing, linear algebra NumPy is the most loving library. It is very fast as it has binding C libraries in the backend.