Climata Save

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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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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/