Python Numpy mask NaN not working

Question

I\'m simply trying to use a masked array to filter out some nanentries.

import numpy as np
# x = [nan, -0.35, nan]
x = np.ma.masked_equal(x, np.nan)         


        

Answer 1

Here is another alternative without using mask:

import numpy as np
#x = [nan, -0.35, nan]
xmask=x[np.logical_not(np.isnan(x))]
print(xmask)

Result:

array([-0.35])