Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

Loads climate and hydrology data from ACIS (NOAA RCCs), CoCoRaHS, Hydromet (USBR), SNOTEL AWDB (NRCS) and NWIS (USGS).

Project Description

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.


Getting Started

# 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:

# 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:

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.

Release History

Release History

This version
History Node

0.5.0

History Node

0.4.1

History Node

0.4.0

History Node

0.3.2

History Node

0.3.1

History Node

0.3.0

History Node

0.2.0

History Node

0.1.0

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
climata-0.5.0.tar.gz (22.6 kB) Copy SHA256 Checksum SHA256 Source Sep 14, 2017

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting