Anaconda Enterprise: Documentation

# DataFrame

A Dask DataFrame is a large parallel dataframe composed of many smaller Pandas dataframes, split along the index. These pandas dataframes may live on disk for larger-than-memory computing on a single machine, or on many different machines in a cluster.

Dask.dataframe implements a commonly used subset of the Pandas interface including elementwise operations, reductions, grouping operations, joins, timeseries algorithms, and more. It copies the Pandas interface for these operations exactly and so should be very familiar to Pandas users. Because Dask.dataframe operations merely coordinate Pandas operations they usually exhibit similar performance characteristics as are found in Pandas.

- Overview
- Create and Store Dask DataFrames
- API
- Dask DataFrame Performance Tips

Other topics

- Internal Design
- Shuffling for GroupBy and Join
- Aggregate