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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,
)

Specific data over a specific time period

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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