How to get Pandas DataFrame with column descriptions?

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
pandas, python
Domain
data

Research direction

No files, tests, or entry points are named. Start by reviewing Patsy's existing design_info-related API and its handling of formulas such as ~ 1 + cat1 + cat2; done would be a supported way to obtain a Pandas DataFrame relating input category rows to the resulting encoded columns.

Written by the indexing model from the issue text.

Description

Hi,
I'd like to get some dataframe for a given design_info which describes the different rows.
E.g. if there is some formula ~ 1 + cat1 + cat2, I'd like to get a dataframe:

cat1   cat2    |   cat1[T.1]   cat1[T.2]   cat1[T.3]   cat2
  A     X      |      0           0           0           0
  A     Y      |      0           0           0           1
 ...

Is this possible with Patsy?

Dominant language
Python
Stars
990
Forks
106
Avg merge
7d 34m
Merged PRs (30d)
1

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