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messytables 0.4.0

Parse messy tabular data in various formats

Latest Version: 0.15.2

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:

File Type Py Version Uploaded on Size
messytables-0.4.0.tar.gz (md5) Source 2013-01-08 13KB