J Conrado wrote: > I have a 2d array and I would how can I replace NaN values for example > with -9999 value or other value.
>>> a
array([[ nan, 1., 2., 3.],
[ 4., 5., 6., 7.],
[ 8., 9., 10., nan]])
>>> a[numpy.isnan(a)] = 42
>>> a
array([[ 42., 1., 2., 3.],
[ 4., 5., 6., 7.],
[ 8., 9., 10., 42.]])
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