[Python] Fill Missing Values in a datetime64[ns] col - pandas

If I have a df like this one:

df = pd.DataFrame(
{
'A': range(6),
'D': pd.date_range('20240101', periods = 6, freq = 'D')
}
)

df['D'].astype('datetime64[ns]')
df.loc[2 , 'D'] = pd.NaT


How to fill the missing value in the column 'D' using: .interpolate(method = 'time') please?

Continue reading...