Replace NaN's in NumPy array with closest non-NaN value

Question

I have a NumPy array a like the following:

>>> str(a)
\'[        nan         nan         nan  1.44955726  1.44628034  1.44409573\\n  1.4408         


        

Answer 1

I got something like this

i = [i for i in range(len(a)) if not np.isnan(a[i])]
a = [a[i[0]] if x < i[0] else (a[i[-1]] if x > i[-1] else a[x]) for x in range(len(a))]

It's a bit clunky though given it's split up in two lines with nested inline if's in one of them.