numpy.place returns NaN when array size is too large #7207
Description
I'm using numpy 1.10.4 to do this:
import numpy as np
na = np.zeros((30000, 10000)) * np.nan
np.place(na, np.ones((30000, 10000)), np.ravel(np.ones((30000, 10000))))
Which returns:
array([[ 1., 1., 1., ..., 1., 1., 1.],
[ 1., 1., 1., ..., 1., 1., 1.],
[ 1., 1., 1., ..., 1., 1., 1.],
...,
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan],
[ nan, nan, nan, ..., nan, nan, nan]])