python-messytables - Parse messy tabular data in various formats

License: MIT
Vendor: Open Knowledge Foundation <>
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

See the full documentation at:


python-messytables-0.15.0-1.el6.src [32 KiB] (no changelog entry)
python-messytables-0.15.0-1.el6.noarch [52 KiB] (no changelog entry)

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