avatars.processors.DatetimeProcessor

class avatars.processors.DatetimeProcessor

Process datetime for avatarization.

Examples

>>> df = pd.DataFrame(
...    {
...        "date_1": ["2015-01-01 07:00:00", "2015-01-01 10:00:00"],
...        "date_2": ["2018-01-01 11:00:00", "2020-01-01 11:00:00"],
...    }
... )
>>> df = df.apply(pd.to_datetime, format='%Y-%m-%d %H:%M:%S.%f')
>>> processor = DatetimeProcessor()
>>> processor.preprocess(df)
         date_1        date_2
0  1.420096e+09  1.514804e+09
1  1.420106e+09  1.577876e+09
>>> avatar = pd.DataFrame(
...    {
...        "date_1": [1.420096e+09, 1.537804e+09],
...        "date_2": [1.420106e+09, 1.568676e+09],
...    }
... )
>>> avatar
         date_1        date_2
0  1.420096e+09  1.420106e+09
1  1.537804e+09  1.568676e+09
>>> processor.postprocess(df, avatar)
               date_1              date_2
0 2015-01-01 07:06:40 2015-01-01 09:53:20
1 2018-09-24 15:46:40 2019-09-16 23:20:00

preprocess(df: DataFrame) → DataFrame

Turn datetime variables into int64 (seconds since epoch).

postprocess(source: DataFrame, dest: DataFrame) → DataFrame

Transform datetime columns from seconds since epoch back to datetime[ns] type.