A Python API wrapper for the Wisconsin environmental mesonet API: Wisconet
Project description
Wiscopy
Python wrapper for Wisconet. Currently supporting API v1.
Install
base install
pip install wiscopy
install with plotting library dependencies
pip install 'wiscopy[plot]'
Usage
Fetch data from multiple stations, create a Dataframe, and plot.
import nest_asyncio
import hvplot.pandas # needed for df.hvplot()
import holoviews as hv
from datetime import datetime
from wiscopy.interface import Wisconet
hv.extension('bokeh')
hv.plotting.bokeh.element.ElementPlot.active_tools = ["box_zoom"]
nest_asyncio.apply() # needed to run in notebook
w = Wisconet()
df = w.get_data(
station_ids=["maple", "arlington"],
start_time=datetime(2025, 1, 1),
end_time=datetime(2025, 2, 1),
fields=["60min_air_temp_f_avg"]
)
df.hvplot(
y="value",
by="station_id",
title="60min_air_temp_f_avg",
ylabel=df.final_units.iloc[0],
grid=True,
rot=90,
)
More examples
see more examples in notebooks/examples.ipynb, or run
pixi run start
Wisconet
Current stations
Wisconet's list of current stations shows all active station names. You can get that list of strings via the API as follows:
from wiscopy.interface import Wisconet
w = Wisconet()
station_names = w.all_station_names()
Wisconet also provides a map of those stations with a dropdown menu including some of the currently available fields/variables. You can determine the fields available per station from the API with:
from wiscopy.interface import Wisconet
w = Wisconet()
station_names = w.all_station_names()
this_station = w.get_station(station_names[0])
fields = this_station.get_field_names()
dev install (contribute!)
1. install pixi
See pixi install guide.
2. check out from repo
git clone git@github.com:UW-Madison-DSI/wiscopy.git
3. install local editable version
cd wiscopy
pixi install
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