%load_ext watermark

%watermark -v -p numpy -d -u

%%file example.csv
1,2,3,4
5,6,,8
10,11,12,

import numpy as np
ary = np.genfromtxt('./example.csv', delimiter=',')

print('%s x %s array:\n' %(ary.shape[0], ary.shape[1]))
print(ary)

np.isnan(np.nan)

np.isnan(ary)

np.count_nonzero(np.isnan(ary))

np.count_nonzero(~np.isnan(ary))

np.sum(ary)

print('total sum:', np.nansum(ary))

print('column sums:', np.nansum(ary, axis=0))

print('row sums:', np.nansum(ary, axis=1))

ary[~np.isnan(ary).any(1)]

ary0 = np.nan_to_num(ary)
ary0

ary0[ary0==0] = np.nan
ary0

ary[~np.isnan(ary)]

x = np.array([1,2,np.nan])

x[~np.isnan(np.array(x))]