Skip to main content

An xarray wrapper for analysis of ensemble forecast models for climate prediction.

Project description

https://i.imgur.com/HPOdOsR.png

An xarray wrapper for analysis of ensemble forecast models for climate prediction.

https://travis-ci.org/bradyrx/climpred.svg?branch=master https://img.shields.io/pypi/v/climpred.svg Conda Version https://coveralls.io/repos/github/bradyrx/climpred/badge.svg?branch=master Documentation Status https://badges.gitter.im/Join%20Chat.svg license

Installation

You can install the latest release of climpred using pip or conda:

pip install climpred
conda install -c conda-forge climpred

You can also install the bleeding edge (pre-release versions) by cloning this repository and running pip install . --upgrade in the main directory.

Documentation

Documentation is in development and can be found on readthedocs.

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

climpred-2.1.0.post1.tar.gz (4.3 MB view details)

Uploaded Source

Built Distribution

climpred-2.1.0.post1-py2.py3-none-any.whl (79.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file climpred-2.1.0.post1.tar.gz.

File metadata

  • Download URL: climpred-2.1.0.post1.tar.gz
  • Upload date:
  • Size: 4.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1.post20200529 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.6.10

File hashes

Hashes for climpred-2.1.0.post1.tar.gz
Algorithm Hash digest
SHA256 0a7038664d16c53a2d0951a2027230cd1ff97a94a96d8571705f9cfc4c577360
MD5 f97c1ee785ec45374a607adf20f87ce4
BLAKE2b-256 e72bc1e56b21febb893bd9d34c476e3be9149743f02dedc129de932e45b323ac

See more details on using hashes here.

Provenance

File details

Details for the file climpred-2.1.0.post1-py2.py3-none-any.whl.

File metadata

  • Download URL: climpred-2.1.0.post1-py2.py3-none-any.whl
  • Upload date:
  • Size: 79.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1.post20200529 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.6.10

File hashes

Hashes for climpred-2.1.0.post1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 add4bde77a4786261eef6ca386be1a68f122d468cc561defe3885fabe2d5553f
MD5 b20ac279c96a15fb07287885c031aa32
BLAKE2b-256 b0e3e81f22403c61ab322ec9fb18d845900b1d1999c745c17ed6641b8c516da1

See more details on using hashes here.

Provenance

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