Removing nan values from a dict

[deanhystad]

Assuming it is a numpy array.

import numpy as np

notadict = np.array([438.4, 439.18, 439.9, np.nan, np.nan])
print(notadict[(~np.isnan(notadict))], notadict)
print(np.delete(notadict, np.isnan(notadict)), notadict)
print(np.nan_to_num(notadict, nan=0.0), notadict)
print(np.nan_to_num(notadict, copy=False, nan=0.0), notadict)

Output:
[438.4  439.18 439.9 ] [438.4  439.18 439.9     nan    nan]
[438.4  439.18 439.9 ] [438.4  439.18 439.9     nan    nan]
[438.4  439.18 439.9    0.     0.  ] [438.4  439.18 439.9     nan    nan]
[438.4  439.18 439.9    0.     0.  ] [438.4  439.18 439.9    0.     0.  ]

Notice that nan_to_num does the change in place if you use "copy=False".