QUICK POST
Python Package for Analysis Ready Lake Mendota Ice Phenology Data
How to start analyzing/visualizing a 150-year ice record
2 min readMar 22, 2022
In this quick pos I will present mendotapy
, a Python package to read analysis-ready Lake Mendota ice phenology data into memory. This ice phenology dataset is maintained by the Wisconsin State Climatology office.
Get the data
mendotapy
source code is available on GitHub.
Install the package via pip
pip install mendotapy
Import the package and load the data as an analysis-ready Pandas dataFrame
import mendotapy
df = mendotapy.load()
Data Columns
- season: the winter season
- iceon_date: first date majority of the lake surface is estimated to be frozen
- iceoff_date: latest date of ice breakup
- duration: number of days the lake remained frozen during the season
- n_freezes: number of freeze/breakup cycles during the season