how to use augment_calendar_df with custom data?

[luoolu]

Description

Date,d1,d2,d3,d4,d5,d6,d7
2007/5/30,22,24,29,31,35,4,11
2007/6/2,15,22,31,34,35,5,12
2007/6/4,3,4,18,23,32,1,6
......
my df first 3 rows like above,how to use augment_calendar_df fun;
is there anyone can help me?

Use case

need a DOC to introduce how to use augment_calendar_df with custom pandas df

[JQGoh]

@luoolu
In https://nixtlaverse.nixtla.io/neuralforecast/docs/tutorials/hierarchical_forecasting.html, it has a simple example of how to use augment_calendar_df.

You must name your 'Date' column as 'ds' and convert it pandas datetime object. Thereafter, you can specify the required freq as detailed by the function doc string

    """
    > * Q - [month]
    > * M - [month]
    > * W - [Day of month, week of year]
    > * D - [Day of week, day of month, day of year]
    > * B - [Day of week, day of month, day of year]
    > * H - [Hour of day, day of week, day of month, day of year]
    > * T - [Minute of hour*, hour of day, day of week, day of month, day of year]
    > * S - [Second of minute, minute of hour, hour of day, day of week, day of month, day of year]
    *minute returns a number from 0-3 corresponding to the 15 minute period it falls into.
    """