Skip to main content

N-D labeled arrays and datasets in Python

Project description

xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures.

Our goal is to provide a pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays, rather than the tabular data for which pandas excels. Our approach adopts the Common Data Model for self- describing scientific data in widespread use in the Earth sciences: xarray.Dataset is an in-memory representation of a netCDF file.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xarray-0.10.9.tar.gz (1.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

xarray-0.10.9-py2.py3-none-any.whl (473.3 kB view details)

Uploaded Python 2Python 3

File details

Details for the file xarray-0.10.9.tar.gz.

File metadata

  • Download URL: xarray-0.10.9.tar.gz
  • Upload date:
  • Size: 1.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.4

File hashes

Hashes for xarray-0.10.9.tar.gz
Algorithm Hash digest
SHA256 cb3028ba157e1953fd279bbe17c07bb5faa459ddf555bbe687c927e4cdfeecc3
MD5 9664850a1c8595a811d364bf7af771ce
BLAKE2b-256 011a6ba623d3c05f50fd333a18d93d71a316dd87d82c2be39c3df814789c7aa8

See more details on using hashes here.

File details

Details for the file xarray-0.10.9-py2.py3-none-any.whl.

File metadata

  • Download URL: xarray-0.10.9-py2.py3-none-any.whl
  • Upload date:
  • Size: 473.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.4

File hashes

Hashes for xarray-0.10.9-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 6035ef1520416e8aaf051c9de1a2eadb469fecef790f0cd0982c246af91f4009
MD5 81138df98495043ccf8a78c12e7842f2
BLAKE2b-256 d240e3d9a6b679a7b4ba80e8cdf0b0226809ef454773f7b79ef1b2bd1898bd48

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page