agateblue/lifter

Pandas compatibility

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#19 opened on Feb 21, 2016

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Description

I'm not really familiar with this library, so I don't know exactly what it could mean to be pandas compatible, and especially against which data structure it would be really useful. Does anyone use pandas out here and would have some use cases involving lifter ?

Contributor guide

Research direction
Examine lifter's query engine architecture and identify integration points with pandas DataFrames.
Tech stack
python
Domain
backenddata
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Unclear
Prerequisites
Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50