I am learning Python for Data Science. I have dataset with date column having more NaT values.
How to get it replaced or removed ?
Please help
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use the `na_values` function while [reading](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_excel.html) the file – anky Sep 11 '18 at 12:04
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You can use the following check to replace or remove nat values.
import numpy as np
np.isnat(np.datetime64("NaT"))
Gimhani
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