In [1]:

    

import numpy as np


    

In [2]:

    

a_nan = np.genfromtxt('data/src/sample_nan.csv', delimiter=',')
print(a_nan)


    

    




[[11. 12. nan 14.]
 [21. nan nan 24.]
 [31. 32. 33. 34.]]

In [3]:

    

print(np.nan == np.nan)


    

    




False

In [4]:

    

print(a_nan == np.nan)


    

    




[[False False False False]
 [False False False False]
 [False False False False]]

In [5]:

    

print(np.isnan(a_nan))


    

    




[[False False  True False]
 [False  True  True False]
 [False False False False]]

In [6]:

    

print(np.count_nonzero(np.isnan(a_nan)))


    

    




3

In [7]:

    

print(np.count_nonzero(np.isnan(a_nan), axis=0))


    

    




[0 1 2 0]

In [8]:

    

print(np.count_nonzero(np.isnan(a_nan), axis=1))


    

    




[1 2 0]

In [9]:

    

print(~np.isnan(a_nan))


    

    




[[ True  True False  True]
 [ True False False  True]
 [ True  True  True  True]]