Python

In [5]: df.mask(df < 0, 0)
Out[5]: 
   a  b
0  0  0
1  0  2
2  2  1

import numpy as np

arr = np.array([9, -np.inf, 0, 1])

rep_val = 0
arr.replace(-np.inf, rep_val, inplace = True)

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