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- Home

Overview

  • Get Started
  • Xarray in 45 minutes
  • Learning Paths
    • Fundamental Path
    • Intermediate Path

Fundamentals

  • Data Structures
    • Xarray’s Data structures
    • Creating Data Structures
    • Reading and writing files
  • Labeled data
    • Indexing and Selecting Data
    • Manipulating Dimensions (Data Resolution)
  • Computation
    • Basic Computation
    • Computing with Multiple Objects
    • Grouped Computations
    • Windowed Computations
    • Weighted Reductions
  • Plotting and Visualization
    • Basic Visualization
    • Faceting
    • Geography with Cartopy

Intermediate

  • Computational Patterns
  • Indexing
    • Advanced Indexing
    • Boolean Indexing & Masking
  • Parallel computing with Dask
  • A Tour of Xarray Customizations
  • Interactive plots using hvplot
  • Remote Data
    • Zarr in Cloud Object Storage
    • Access Patterns to Remote Data with fsspec
  • Data Tidying
    • Examples
    • Re-organize InSAR ice velocity data
    • Contributing
    • Presentations

Advanced

  • Parallelizing custom functions
  • apply_ufunc
    • A gentle introduction
    • Core dimensions
    • Handling complex output
    • Automatic Vectorization
    • Handling dask arrays
    • Fast vectorization with Numba
    • np.interp : An end-to-end example
  • map_blocks
    • A gentle introduction
  • Reading data using backends
    • Binary data without lazy loading
    • Binary data with lazy loading
  • Creating custom accessors

Workshops

  • SciPy 2024
  • SciPy 2023
  • Thinking like Xarray 2022
    • High-level computation patterns
  • Oceanhackweek 2020
    • Xarray in 45 minutes
  • Xarray Online Tutorial 2020
    • Xarray Fundamentals
    • Indexing and Selecting Data
    • Computation

Reference

  • Contributing Guide
  • Keep Exploring!
  • Glossary
  • Repository
  • Open issue

Index

C | G | H | N | X | Z

C

  • CF Conventions

G

  • GDAL

H

  • HDF

N

  • netCDF

X

  • Xarray

Z

  • Zarr

By The Xarray Community

© Copyright 2024.

Xarray is a fiscally sponsored project of NumFOCUS, a nonprofit dedicated to supporting the open-source scientific computing community.
Theme by the Executable Book Project.

Content licensed under the terms of the Apache 2.0 License.