Python library to work with Metos FieldClimate meteorological stations JSON REST API. See official documentation for more information.
By now, the repository is not available at pip but still, you can easily install the library directly from GitHub using pip by typing:
pip install git+https://github.com/SatAgro/metos-fieldclimate.git
Python 2.7.9+ and 3.4.3+ should be compatible. Python 2 users need to install enum34 from pypi.
In order to use data from FieldClimate meteorological stations in your applications you must follow this steps:
- Get the data using FieldClimateRestAPI class
- Initialize a Station class with get JSON data from step 1.
Below you can find basic usage example.
from FieldClimate import RestAPI
from FieldClimate.Data import Station
# Connect and get first station
fc = RestAPI.FieldClimateRestAPI(YOUR_USER, YOUR_PASS)
station_json = fc.get_stations()[0]
# Get station sensor specification and data
measures_json = fc.get_station_data_first(station_json['f_name'])
sensors_json = fc.get_station_sensors(station_json['f_name'])
# Initialize Station class and work with it
station = Station(st, sens_st1, data_st1)
precip_sensor = station.get_sensor('Precipitation')
temp_sensor = station.get_sensor('Air temperature')
measures = station.get_sensors_measures([precip_sensor, temp_sensor)
# Export all sensors data to CSV file
station.to_csv('test.csv', station.get_sensors())
Krzysztof Stopa, Przemysław Żelazowski - SatAgro Project
Phillip Marshall - Agrimanagement, Inc.
GNU LESSER GENERAL PUBLIC LICENSE Version 3