BaseDatafier

Contains data preparation modules, which includes interpolation. data should be in this format where time is set to index Example:

time  col1 col2 col3 ...
2012   1    0    2
2013   2    3    1

Parameters:

Name	Type	Description	Default
`data`	`DataFrame`	The data to be prepared, should be in this format where time is set to index	required
`time_format`	`str`	Index datetime format	required
`ip_freq`	`str`	Interpolation frequency	required

`add_var(row_var=None, col_var=None)`

Adds additional variables to the data, both row and column wise.

Row wise data format: The index should be equal to that of the actual data.

    time  leap_year col2   ...
    2012    yes      0
    2013    no       3

Column wise data format: The index should be equal to the columns of the actual data.

    index  continent   col2 ...
    ind    Asia         0
    usa    N America    3
    jap    Asia         2

Parameters:

Name	Type	Description	Default
`row_var`	`DataFrame`	Dataframe containing variables related to time, by default None	`None`
`col_var`	`DataFrame`	Dataframe containing variables related to columns, by default None	`None`

Interpolates the given dataframe according to the frequency

Parameters:

Name	Type	Description	Default
`data`	`DataFrame`	Dataframe containing the data	required
`freq`	`str`	Interpolation frequency	required
`method`	`str`	Interpolation method, by default "linear"	`'linear'`

Returns:

Type	Description
`tuple[DataFrame, DataFrame]`	Interpolated dataframe and Preinterpolated skeleton dataframe

Interpolates the raw data

Returns:

Type	Description
`DataFrame`	Interpolated data