Capability details
What this helps you do
Select, align and aggregate multidimensional arrays by coordinate labels and dimension names with Xarray.
Catalog editorial description
View description sources
editor · 2026-09-22 — description: editorial summary of public documentation. Pinned README 8de862c29544c2fb1957ce20985745952bc81de7. Not execution or scientific validation.
Research classification
Awaiting discipline classification
Scientific computing · Data analysis
View discipline evidence
editor · 2026-09-16 — 来源明确称其操作跨领域；netCDF 关联和示例不足以直接归地球科学或其他应用学科，保留待分类。
View research tag evidence
editor · 2026-09-16 — Editorial method/task/topic tags for this entry; not a discipline or a maintainer endorsement.
Who it is for
- Python researchers whose multidimensional measurements need meaningful coordinate labels.
How to use it
- Identify dimensions and coordinates using the README examples.
- Follow the linked official documentation for your analysis and storage workflow.
AIPOCH has not verified execution.
Read usage documentationInputs
- NumPy-like arrays with dimension names, coordinates and optional metadata.
Outputs
- Labelled arrays and datasets produced by selection, alignment or aggregation.
Resource type
Tool
Execution guidance
Follow the upstream documentation. Execution has not been verified by AIPOCH.
Access conditions
- Coordinate labels affect alignment; inspect missing values when joining datasets.
View usage information sources
Who it is for
editor · 2026-09-22 — audience: editorial summary of public documentation. Pinned README 8de862c29544c2fb1957ce20985745952bc81de7. Not execution or scientific validation.
How to use it
editor · 2026-09-22 — getting_started: editorial summary of public documentation. Pinned README 8de862c29544c2fb1957ce20985745952bc81de7. Not execution or scientific validation.
Inputs
editor · 2026-09-22 — inputs: editorial summary of public documentation. Pinned README 8de862c29544c2fb1957ce20985745952bc81de7. Not execution or scientific validation.
Outputs
editor · 2026-09-22 — outputs: editorial summary of public documentation. Pinned README 8de862c29544c2fb1957ce20985745952bc81de7. Not execution or scientific validation.
Access conditions
editor · 2026-09-22 — conditions: editorial summary of public documentation. Pinned README 8de862c29544c2fb1957ce20985745952bc81de7. Not execution or scientific validation.
Documentation
editor · 2026-09-22 — documentation_url: editorial summary of public documentation. Pinned README 8de862c29544c2fb1957ce20985745952bc81de7. Not execution or scientific validation.
Sources & versions
- Reference role
- primary
- Last successful public check
- 2026-09-22T08:37:53.874Z
- Latest public check attempt
- 2026-09-22T08:37:53.874Z · ok
- GitHub metrics
- Stars 4,199 · checked · latest attempt 2026-09-22T08:37:53.874Z (ok)
Forks 1,358 · checked · latest attempt 2026-09-22T08:37:53.874Z (ok) - Latest default-branch commit
8de862c29544c2fb1957ce20985745952bc81de7
Observed 2026-09-22T08:37:53.874Z- Source activity check
- fresh · last successful check 2026-09-22T08:37:53.874Z · latest attempt 2026-09-22T08:37:53.874Z (ok)
- Source status
- Active at last observation
- License
- Apache-2.0
- Fixed commit
8de862c29544c2fb1957ce20985745952bc81de7- Reference checked
- 2026-09-22
Default-branch activity is separate from the fixed reference above. Source terms apply. A fixed commit identifies content; it does not establish scientific validity.
Related research
Xarray adds dimension names, coordinates and metadata to NumPy-like arrays. Its domain-independent data model supports labelled multidimensional analysis and integrates with netCDF and Dask.
Claims & evidence
Continue the conversation
Research questions and code contributions belong with the original project. Catalog corrections can be proposed separately.