Ternary map by Python (test)

This repository contains a Jupyter Notebook for analyzing and visualizing data using ternary plots.

Contents

• ternary_fig_share.ipynb: The main Jupyter Notebook containing the code and explanations for creating ternary plots.

Prerequisites

To run the notebook, you will need the following Python packages installed:

• numpy
• pandas
• matplotlib
• seaborn
• ternary
• cartopy
• gdal

Data prepare

Prepare your data for ternary plotting.

• The dataset should contain three TIFF files representing the proportions of three factors (summing to 1).
• boundaries.shp （省.shp and 十段线.shp in notebook）

Note

Please note that the map and legend are drawn separately and need to be combined later.