A python script for pulling climate data from archived data from Environment Canada (http://climate.weather.gc.ca).
Python 3.[4, 5, 6]. Python 3.5 is only version verified.
For packages, see requirements.txt. The only unusual package is utm, but it can be worked around without too much trouble.
- Clone repo to local system.
>>virtualenv -p python3 env- If virtualenv not activated:
>>source env/bin/activate(from main folder) >>pip install requirements.txt>>python main.py- Get coordinates for location(s) (in Canada) you want to check for the nearest stations.
- Enter the coordinates in lat/lon (or just as a tuple in UTM northing/easting):
# input target location decimal degrees [lat, lon]
squamish_utm_loc = utm.from_latlon(50.336, -122.802161)
pemberton_utm_loc = utm.from_latlon(49.796, -123.203)
- Set a search radius (in m) to bound your search from the target location:
search_radius = 10000 - Set a timeframe (1 = hourly, 2 = daily, 3 = monthly), e.g.:
t_frame = 2
The example code has a default random lat/lon location near Squamish, BC.
Once you have addressed all of the input parameters in Setup:
>>python main.py
Watch the data folder for csv files being written.
Enjoy!
If you get use out of this, let me know!
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.
Copyright 2017, Dan Kovacek