np.isnan ()

import numpy as nps = data[:, 2]nan = [i for i in range(len(s)) if np.isnan(s[i])]

The

np.isnan(x) function can determine whether x is a null value, and then output a boolean type variable.
Then the function of np.nan() here is to make the third column of the data data not nullThe data of the value is stored in nan in turn.