`lfsir.api.add_classification`

Add industry or occupation classification to table.

This function takes a Pandas DataFrame containing ISIC industry codes or ISCO occupation codes, and enriches it by decoding these codes into descriptive categories.

The output DataFrame will contain additional columns with attributes from the classification system at the specified hierarchical levels, providing more information alongside the original coded values.

Parameters:

Name	Type	Description	Default
`table`	`DataFrame`	Input DataFrame containing the classification code column.	required
`target`	`str`	Name of the column containing industry or occupation codes.	required
`name`	`str`	Name of classification to apply.	`'original'`

Other Parameters:

Name	Type	Description
`aspects`	`list of str`	Classification aspects to add as columns, like "label", "farsi_label".
`levels`	`list of int`	Hierarchy levels to include, like 1 or [1, 2].
`column_names`	`list of str`	Custom names to use for the added columns.
`year_col`	`str`	Name of year column for resolving annual changes.

Returns:

Type	Description
`DataFrame`	Input DataFrame with additional columns containing classification attributes.

Examples:

import lfsir
table = lfsir.load_table(years=1401)
table = lfsir.add_classification(table, target="Main_Job_Workplace_ISIC_Code")