Django Rest Pandas Save

📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)

Project README

Django REST Pandas

Django REST Framework + pandas = A Model-driven Visualization API

Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js.

The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This capability can often be leveraged by sending users to the same URL that your visualization code uses internally to load the data.

While DRP is primarily a data API, it also provides a default collection of interactive visualizations through the @wq/chart library, and a @wq/pandas loader to facilitate custom JavaScript charts that work well with CSV output served by DRP. These can be used to create interactive time series, scatter, and box plot charts - as well as any of the infinite other charting possibilities d3.js provides.

Latest PyPI Release Release Notes License GitHub Stars GitHub Forks GitHub Issues

Tests Python Support Django Support


DRP is configured by defining one or more API views and mapping them to URLs. The underlying implementation is a set of serializers that take the normal serializer result and put it into a dataframe. Then, the included renderers generate the output using the built in pandas functionality.

  1. Getting Started

  2. API Documentation

  3. Data Visualization

Open Source Agenda is not affiliated with "Django Rest Pandas" Project. README Source: wq/django-rest-pandas
Open Issues
Last Commit
5 months ago

Open Source Agenda Badge

Open Source Agenda Rating