Plot the 2D ScatterData

This example shows how to plot the 2D ScatterData object. I use a LGM d13C data from Peterson et al. 2014 (https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013PA002552) as an example.

Downloading LGM_d13c_CLEAN.txt to /home/docs/.cgeniepy/LGM_d13c_CLEAN.txt...
Download complete.
/home/docs/checkouts/readthedocs.org/user_builds/cgeniepy/envs/stable/lib/python3.12/site-packages/cgeniepy/plot.py:632: UserWarning: kind is not used for map plotting
  warnings.warn("kind is not used for map plotting")

from cgeniepy.table import ScatterData
from cgeniepy.plot import CommunityPalette
import matplotlib.pyplot as plt
from cgeniepy.utils import download_zenodo_file


record_id = "13786013"
filename = "LGM_d13c_CLEAN.txt"

local_file_path = download_zenodo_file(record_id, filename)

proxy_d13C = ScatterData(local_file_path, delimiter="\t", header=None)
proxy_d13C.data.columns = ["Longitude", "Latitude", "Depth", "d13C","Event"]
proxy_d13C.set_index(["Latitude", "Longitude"])
cmap = CommunityPalette("scientific_vik").colormap
proxy_d13C.plot(var='d13C', edgecolor='k', cmap=cmap)

plt.show()