wiscopy 0.2.0

A Python API wrapper for the Wisconsin environmental mesonet API: Wisconet

Wiscopy

Python wrapper for Wisconet. Currently supporting API v1.

Main Features

1. Easy to use interface: simply specify the stations, datetime range, and fields you want
2. Data automatically formatted into a pandas DataFrame
3. Fetch large amounts of data with transparent concurrency
4. Automatically respect Wisconet rate limiting (20 requests / 20 seconds)

Install

From PyPI

base install

To install wiscopy from PyPI run

python -m pip install wiscopy

install with plotting library dependencies

python -m pip install 'wiscopy[plot]'

From conda-forge

To install and add wiscopy to a project from conda-forge with Pixi, from the project directory run

pixi add wiscopy

and to install into a particular conda environment with conda, in the activated environment run

conda install --channel conda-forge wiscopy

Usage

Fetch data from multiple stations, create a Dataframe, and plot.

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"]

w = Wisconet()
df = w.get_data(
    station_ids=["maple", "arlington"],
    start_time="2025-01-01",
    end_time="2025-02-01",
    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 also that list of strings in wiscopy with:

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 in wiscopy 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 instructions

1. install pixi

See pixi install guide.

2. check out from repo

git clone [e-mail]:UW-Madison-DSI/wiscopy.git

3. install local editable version

cd wiscopy
pixi install

4. run tests

pixi run test

5. auto fix ruff linting issues

pixi run -e dev ruff check --fix .  

6. run all pre-push checks

Confirm github workflows will pass before pushing: pixi lock file sync, format, lint, tests

pixi run pre-push  

7. build package

pixi run build

8. run package build, install, and test in clean environment:

pixi run -e clean-room test-wheel

Contribute

Pull requests welcome! All pull requests must be formated, linted and pass tests