Visualizing current Tesla Superchargers available in France using Python, Pandas and Folium.
Installing dependencies is the first thing you want to do.
pip install folium
pip install pandas
The data is in .csv and .xlsx format. As discussed in the article, use xlsx for this one.
tesla-supercharger-france.csv
tesla-supercharger-france.xlsx
I have created different files for each step in creating the interactive dictionary, here's the description of what each file does.
tesla1.py
Import library and create base map.
tesla2.py
Add a marker to a particular location.
tesla3.py
Add multiple markers.
tesla4.py
Use data to plot more than one markers.
tesla5.py
Use custom icons
tesla6.py
Cluster all the markers
Note: All files are executable and integrated with comments to help you understand each and every line/command of the code.
This project is licensed under the MIT License - see the LICENSE file for details