Welcome to cuDF’s documentation!

Contents:

• API Reference
  • DataFrame
  • Series
  • Groupby
  • Legacy Groupby
  • IO
  • GpuArrowReader
• 10 Minutes to cuDF and Dask-cuDF
  • What are these Libraries?
  • When to use cuDF and Dask-cuDF
  • Persisting Data
  • Wait
• Multi-GPU with Dask-cuDF
  • What works
  • Developing the API
  • Navigating the API
• 10 Minutes to Dask-XGBoost
  • Disable NCCL P2P. Only necessary for versions of NCCL < 2.4
  • Import necessary modules and initialize the Dask-cuDF Cluster
  • Initialize a Random Dataset
  • Define Parameters and Train with XGBoost
  • Compute Predictions and the RMSE Metric for the Model
• 10 Minutes to cuDF and CuPy
  • Converting a cuDF DataFrame to a CuPy Array
  • Converting a cuDF Series to a CuPy Array
  • Converting a CuPy Array to a cuDF DataFrame
  • Converting a CuPy Array to a cuDF Series
  • Interweaving CuDF and CuPy for Smooth PyData Workflows
  • Converting a cuDF DataFrame to a CuPy Sparse Matrix
• Overview of User Defined Functions with cuDF
  • Overview
  • Series UDFs
  • DataFrame UDFs
  • Rolling Window UDFs
  • GroupBy DataFrame UDFs
  • Numba Kernels on CuPy Arrays
  • Null Handling in UDFs
  • Operating on Null Values
  • Summary
• Developer Documentation
  • Code Organization
  • Code that should move to libgdf

Indices and tables

• Index

• Module Index

• Search Page