imdtrack

IMD RSMC New Delhi cyclone best-track data as tidy pandas DataFrames and CF-style xarray Datasets — kept up to date automatically.

The parsed dataset lives in the project’s GitHub repo (rebuilt from the IMD workbook by a monthly, validated pipeline). imd.load() downloads that pre-parsed data — no Excel scraping on your machine.

import imdtrack as imd

bt = imd.load()                       # pre-parsed dataset from GitHub (cached)
bt.observations                       # one tidy row per 3-hourly fix
bt.storms                             # one summary row per storm
bt.to_xarray()                        # (storm, step) xarray.Dataset
imd.plot_track(bt.storm("tauktae"))   # cartopy map  (needs the [plot] extra)

New here? Head to Installation, then the Quickstart. The User Guide covers loading, the data model, updates, and data quality, and the API reference documents every function.

Citation

If you use imdtrack in your work, please cite it via its Zenodo Concept DOI — this DOI represents all versions and always resolves to the latest, so it stays stable across releases:

Syed, H. A. imdtrack: A Python library for the IMD North Indian Ocean cyclone best-track record. https://doi.org/10.5281/zenodo.21301659

The repository’s CITATION.cff carries the machine-readable metadata (GitHub’s “Cite this repository” button reads it).