3 examples of 'how to convert a pandas column to timedelta' in Python

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207def decode_cf_timedelta(num_timedeltas, units):
208 """Given an array of numeric timedeltas in netCDF format, convert it into a
209 numpy timedelta64[ns] array.
210 """
211 num_timedeltas = np.asarray(num_timedeltas)
212 units = _netcdf_to_numpy_timeunit(units)
213 result = to_timedelta_unboxed(num_timedeltas.ravel(), unit=units)
214 return result.reshape(num_timedeltas.shape)
30def converter(df: DataFrame) -> Series:
31 return df[field_name]
107def _time_cols_to_ints(df, columns=None, nat_value=SMALLDT64):
108 """
109 Converts all datetime columns to ints.
111 Previously NaT were convertible to ints, but now they raise a value error.
112 We need, therefore, to designate a time that will be used as NaT.
113 """
114 cols = columns or df.select_dtypes(include=["datetime64"]).columns
115 df.loc[:, cols] = df.loc[:, cols].fillna(nat_value).astype(np.int64)
116 return df

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