Time-handling functionality from netcdf4-python

Project description

cftime

Time-handling functionality from netcdf4-python

News

12/01/2018: version 1.0.3 released. Test coverage with coveralls.io, improved round-tripping accuracy for non-real world calendars (like 360_day).

10/27/2018: version 1.0.2 released. Improved accuracy (from approximately 1000 microseconds to 10 microseconds on x86 platforms). Refactored calendar calculations now allow for negative reference years. num2date function now more than an order of magnitude faster. months since units now allowed, but only for 360_day calendar.

08/15/2018: version 1.0.1 released.

11/8/2016: cftime was split out of the netcdf4-python package.

Quick Start

Clone GitHub repository (git clone https://github.com/Unidata/cftime.git), or get source tarball from PyPI. Links to Windows and OS X precompiled binary packages are also available on PyPI.
Make sure numpy and Cython are installed and you have Python 2.7 or newer.
Run python setup.py build, then python setup.py install (with sudo if necessary).
To run all the tests, execute py.test.

Documentation

See the online docs for more details.

Project details

Release history Release notifications | RSS feed

1.6.4.post1

Oct 22, 2024

1.6.4

Jun 6, 2024

1.6.3

Oct 19, 2023

1.6.2

Sep 18, 2022

1.6.1

Jun 30, 2022

1.6.0

Mar 3, 2022

1.5.2

Jan 22, 2022

1.5.1.1

Oct 31, 2021

1.5.1

Sep 24, 2021

1.5.0

May 20, 2021

1.4.1

Feb 2, 2021

1.4.0

Jan 31, 2021

1.3.1

Jan 17, 2021

1.3.0

Nov 16, 2020

1.2.1

Jul 20, 2020

1.2.0

Jul 5, 2020

1.1.3

May 13, 2020

1.1.2

Apr 20, 2020

1.1.1.2

Mar 24, 2020

1.1.1.1

Mar 19, 2020

1.1.1

Mar 15, 2020

1.1.0

Feb 13, 2020

1.0.4.2

Oct 23, 2019

1.0.4

Oct 21, 2019

1.0.3.4

Dec 5, 2018

1.0.3.3

Dec 5, 2018

1.0.3.1

Dec 5, 2018

This version

1.0.3

Dec 1, 2018

1.0.2.1

Oct 27, 2018

1.0.2

Oct 27, 2018

1.0.1

Aug 16, 2018

1.0.0

May 16, 2018

1.0.0b1 pre-release

Apr 27, 2018

1.0.0a3 pre-release

Apr 13, 2018

1.0.0a2 pre-release

Apr 12, 2018

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cftime 1.0.3

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