BaseDatafier

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	pd.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	pd.DataFrame	Dataframe containing variables related to time, by default None	None
col_var	pd.DataFrame	Dataframe containing variables related to columns, by default None	None

interpolate_even(data, freq, method='linear')

Interpolates the given dataframe according to the frequency

Parameters:

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

Returns:

Type	Description
pd.DataFrame	Interpolated dataframe

interpolate_data()

Interpolates the raw data

Returns:

Type	Description
pd.DataFrame	Interpolated data