linear_interpolation_calculation#

caf.ntem.queries.linear_interpolation_calculation(data, output_year, upper_year, lower_year)[source]#

Perform linear interpolation between two years to produce a dataset for output year.

Linear interpolation = ((output_year - lower_year) *

((upper_val - lower_val) / (upper_year - lower_year)) + lower_val)

Parameters:

  • data (pd.DataFrame) – Dataframe to perform interpolation on. Should have segmentations as multi-indices, including ‘year’ (int) as one of the levels. ‘year’ must contain both upper_year and lower_year.

  • output_year (int) – Output year to produce data, should be between upper_year and lower_year.

  • upper_year (int) – year that exists in the data that is after output_year.

  • lower_year (int) – year that exists in the data that is before output_year.

Returns:

Linearly interpolated data for the output year.

Return type:

pd.DataFrame