Skip to main content

easy and customized Processing huge amounts of gridded Climate Data.

Project description

# pynacolada Library for easily IO-processing with huge netCDF xarrays

# purpose Ever want to manipulate huge xarrays? You may have noticed memory limitations. This package implements an apply_func routine that circumvents the memory issue by automatically dividing the xarray into chunks that fit your computer memory. On the fly writing to disk is also supported.

Project details


Download files

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

Source Distribution

pynacolada-1.0.0.tar.gz (49.9 kB view details)

Uploaded Source

File details

Details for the file pynacolada-1.0.0.tar.gz.

File metadata

  • Download URL: pynacolada-1.0.0.tar.gz
  • Upload date:
  • Size: 49.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Python-urllib/2.7

File hashes

Hashes for pynacolada-1.0.0.tar.gz
Algorithm Hash digest
SHA256 2e04053dde6d9145d6ce8c21d821efc84333bc75ebc284f32984d410cd77062d
MD5 1717f821c5cfee01bfbb1e0eed8df81f
BLAKE2b-256 4f3cfad6fd4e14ab86d4ab63c1b06dc3be8692554d8c49b46ee137ec1888233a

See more details on using hashes here.

Supported by

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