nrfapy


Namenrfapy JSON
Version 0.5 PyPI version JSON
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home_pagehttps://github.com/simon-m-mudd/nrfapy
SummaryA simple package from getting data from the national river flow archive.
upload_time2024-02-23 10:52:36
maintainer
docs_urlNone
authorSimon Moulds and Simon Mudd
requires_python>=3.7
licenseMIT license
keywords nrfapy national river flow archive hydrology rivers discharge floods
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ============
nrfapy
============


A collection of tools for exploring the national river flow archive https://nrfa.ceh.ac.uk/.


* Free software: MIT license
* Documentation: https://nrfapy.readthedocs.io.


Features
--------

* Gets national river flow archive datasets and loads them into pandas dataframes
* Explanation of the dataset is here: https://nrfa.ceh.ac.uk/




=======
History
=======

0.1 (2024-01-20)
------------------

* Initial coding by Simon Moulds, packaged by Simon Mudd
* Initial release on pypi
* Then Simon Mudd had to delete the release because he was calling it NFRA instead of NRFA, mainly because nfrapy sounds a bit like frappuchino and that suggests a clever logo. Simon Moulds had to point out to the disappointed Muddpile that this was the wrong acronym. 
* Basic functionality: simply calls the NRFA API and gets time series data
* A command line script is included: nrfa_get_ts

0.2 (2024-02-01)
-----------------

* Update so that the time column is always parsed as a datetime (S Moulds)
* Added flag that allows the time to be used as an index, which is useful for some dataframe operations (D Golberg)
* Added an option to feed the timeseries function a list of strings that all fetching then concatenaiton of different timeseries (D Goldberg)

0.3 (2024-02-02)
-----------------

* Added some code to make sure the package works on pandas versions < 2.0.0 (SMM)

0.4 (2024-02-02)
-----------------

* For utterly crazy reasons, I need to make this package resiliant against cases where the pandas version using .__version__ is different than that from pkg_resources

0.5 (2024-02-23)
----------------

* pandas concat in get_ts() needs to be called with the axis kwarg set to 1, otherwise strange behavior

            

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