Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/heigeo/climata

Python library for loading and iterating over climate and flow time series data (from ACIS/NOAA RCCs, CoCoRaHS, Hydromet/USBR, CNRFC ESP/NWS, SNOTEL/AWDB/NRCS, and NWIS/USGS)
https://github.com/heigeo/climata

acis api climate data-loader epa hydromet snotel usgs wqx

Last synced: 4 days ago
JSON representation

Python library for loading and iterating over climate and flow time series data (from ACIS/NOAA RCCs, CoCoRaHS, Hydromet/USBR, CNRFC ESP/NWS, SNOTEL/AWDB/NRCS, and NWIS/USGS)

Awesome Lists containing this project

README

        

.. image:: https://raw.githubusercontent.com/heigeo/climata-viewer/master/app/images/logo-small.png
:target: http://climata.houstoneng.net
:alt: Climata
:align: center

**climata** is a pythonic interface for loading and processing time series data
from climate and flow monitoring stations and observers. climata leverages
a number of webservices as listed below. climata is powered by
`wq.io `_, and shares its goal of maximizing the reusability of
data parsing code, by smoothing over some of the differences between various data formats.

.. image:: https://img.shields.io/pypi/v/climata.svg
:target: https://pypi.python.org/pypi/climata
:alt: Latest PyPI Release

.. image:: https://img.shields.io/github/release/heigeo/climata.svg
:target: https://github.com/heigeo/climata/releases
:alt: Release Notes

.. image:: https://img.shields.io/pypi/l/climata.svg
:target: https://github.com/heigeo/climata/blob/master/LICENSE
:alt: License

.. image:: https://img.shields.io/github/stars/heigeo/climata.svg
:target: https://github.com/heigeo/climata/stargazers
:alt: GitHub Stars

.. image:: https://img.shields.io/github/forks/heigeo/climata.svg
:target: https://github.com/heigeo/climata/network
:alt: GitHub Forks

.. image:: https://img.shields.io/github/issues/heigeo/climata.svg
:target: https://github.com/heigeo/climata/issues
:alt: GitHub Issues

|

.. image:: https://img.shields.io/travis/heigeo/climata.svg
:target: https://travis-ci.org/heigeo/climata
:alt: Travis Build Status

.. image:: https://img.shields.io/pypi/pyversions/climata.svg
:target: https://pypi.python.org/pypi/climata
:alt: Python Support

Getting Started
---------------

.. code:: bash

# Recommended: create virtual environment
# python3 -m venv venv
# . venv/bin/activate
pip install climata

See https://github.com/heigeo/climata to report any issues.

Available Services
------------------

=================== ================================================================ ============== ============
Module Classes Data Source Agency/Org.
=================== ================================================================ ============== ============
climata.acis_ ``StationMetaIO``, ``StationDataIO`` ACIS_ NOAA RCCs
climata.epa_ ``WqxDomainIO`` WQX_ EPA
climata.cocorahs_ ``CocorahsIO`` CoCoRaHS_ CoCoRaHS
climata.hydromet_ ``DailyDataIO``, ``InstantDataIO``, ``AgrimetRecentIO`` Hydromet_ USBR
climata.nws_ ``HydroForecastIO``, ``EnsembleForecastIO``, ``EnsembleSiteIO`` CNRFC_ NWS
climata.snotel_ ``StationIO``, ``StationDailyDataIO``, ``RegionDailyDataIO`` `SNOTEL AWDB`_ NRCS
climata.usgs_ ``SiteIO``, ``DailyValueIO``, ``InstantValueIO`` NWIS_ USGS
=================== ================================================================ ============== ============

Usage
-----
Command-line interface:

.. code:: bash

# Load metadata for sites in Upper Klamath Lake basin
wq cat climata.acis.StationMetaIO "basin=18010203" > sites.csv

# Load daily average temperature for these sites
PARAMS="basin=18010203,start_date=2017-01-01,end_date=2017-01-31,parameter=avgt"
wq cat climata.acis.StationDataIO "$PARAMS" > data.csv

Python API:

.. code:: python

from climata.acis import StationDataIO

# Load average temperature for sites in Upper Klamath Lake basin
sites = StationDataIO(
basin="18010203",
start_date="2017-01-01",
end_date="2017-01-31",
parameter="avgt"
)

# Display site information and time series data
for site in sites:
print site.name
for evt in site.data:
print evt.date, evt.avgt

More Python code examples are available via the `climata-viewer website`_.

.. _ACIS: http://data.rcc-acis.org/
.. _CoCoRaHS: http://data.cocorahs.org/cocorahs/export/exportmanager.aspx
.. _WQX: https://www3.epa.gov/storet/wqx/wqx_getdomainvalueswebservice.html
.. _Hydromet: http://www.usbr.gov/pn/hydromet/arcread.html
.. _CNRFC: http://www.cnrfc.noaa.gov/
.. _SNOTEL AWDB: http://www.wcc.nrcs.usda.gov/web_service/awdb_web_service_landing.htm
.. _NWIS: http://waterdata.usgs.gov/nwis
.. _climata.acis: https://github.com/heigeo/climata/blob/master/climata/acis/__init__.py
.. _climata.cocorahs: https://github.com/heigeo/climata/blob/master/climata/cocorahs/__init__.py
.. _climata.epa: https://github.com/heigeo/climata/blob/master/climata/epa/__init__.py
.. _climata.hydromet: https://github.com/heigeo/climata/blob/master/climata/hydromet/__init__.py
.. _climata.nws: https://github.com/heigeo/climata/blob/master/climata/nws/__init__.py
.. _climata.snotel: https://github.com/heigeo/climata/blob/master/climata/snotel/__init__.py
.. _climata.usgs: https://github.com/heigeo/climata/blob/master/climata/usgs/__init__.py
.. _climata-viewer website: http://climata.houstoneng.net/datarequests/