You can run this notebook in Binder, in Colab, in Deepnote or in Kaggle.

[1]:
!pip install --quiet climetlab

Downloading from an URL

[2]:
import climetlab as cml
[3]:
URL = "https://www.ncei.noaa.gov/data/international-best-track-archive-for-climate-stewardship-ibtracs/v04r00/access/csv/ibtracs.SP.list.v04r00.csv"
[4]:
data = cml.load_source("url", URL)
[5]:
pd = data.to_pandas()
/usr/local/lib/python3.9/site-packages/IPython/core/interactiveshell.py:3418: DtypeWarning: Columns (1,2,8,9,14,25,161,162) have mixed types.Specify dtype option on import or set low_memory=False.
  exec(code_obj, self.user_global_ns, self.user_ns)
[6]:
uma = pd[pd.NAME == "UMA:VELI"]
[7]:
cml.plot_map(uma, style="cyclone-track")
../_images/examples_02-source-url_7_0.png