Parse messy tabular data in various formats

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Tabular data as published on the web is often not well formatted and structured. Messytables tries to detect and fix errors in the data. Typical examples include:

  • Finding the header of a table when there are explanations and text fragments in the first few rows of the table.

  • Guessing the type of columns in CSV data.

This library provides data structures and some heuristics to fix these problems and read a wide number of different tabular abominations.

See the full documentation at: https://messytables.readthedocs.io

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