numpy - Interpolate NaN values in a big matrix (not just a list) in python -


i'm searching simple method interpolate matrix 10% values nan. instance:

matrix = np.array([[ np.nan,  np.nan,  2.    ,  3. ,  4.    ],                    [ np.nan,  6.    ,  7.   ,   8. ,  9.    ],                    [ 10.   ,  11.   ,  12.   ,  13.,  14.   ],                    [ 15.   ,  16.   ,  17.   ,  18.,  19.   ],                    [ np.nan,  np.nan,  22.   ,  23.,  np.nan]])

i found solution uses griddata scipy.interpolate, solution take time. (my matrix have 50 columns , 200,000 rows , rate of nan values not higher 10%)


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