climata 0.4.1

.. 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 <http://wq.io/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.


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|
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Getting Started
---------------

::

pip3 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.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:

::

# Load metadata for sites in Mississippi Headwaters HUC4
acis_sites.py 0701 > sites.csv

# Load daily average temperature for these sites
acis_data.py 0701 avgt > data.csv


Python API:

::

from climata.acis import StationDataIO

# Load average temperature for sites in Mississippi Headwaters HUC8
sites = StationDataIO(
basin="07010101",
start_date="2012-12-01",
end_date="2012-12-31",
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
.. _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.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/