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How do the `levels`, `keys`, and `names` arguments work in Pandas\' `concat` function?

Patricia Arquette
Patricia ArquetteOriginal
2024-10-26 02:23:02730browse

How do the `levels`, `keys`, and `names` arguments work in Pandas' `concat` function?

What are the 'levels', 'keys', and names arguments for in Pandas' concat function?

  • levels: This option allows you to specify the specific levels (unique values) that should be used to construct a MultiIndex. If you do not specify the levels argument, Pandas will infer them from the keys you provide.
  • keys: This option takes a sequence of scalar values or tuples as input. The length of the keys list should match the number of items being concatenated. The values in the keys list are used to create a MultiIndex object in the index or columns attribute of the resulting DataFrame.
  • names: This option allows you to specify the names for the levels of the resulting MultiIndex object. The length of the names list should match the number of levels in the MultiIndex. If you do not specify the names argument, Pandas will assign default names to the levels.

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