It's based on the simlog scale. Therefore, check also the difference between log and simlog in the jupyter-notebook for your usage case. Hopefully, someone who is more into matplotlib can fix the ...

$ [sudo] python live_plot.py my_csv_file_name.csv Note: Provide my_csv_file_name.csv or my_csv_file_name.txt (name of the file containing X,Y readings) from the same directory/folder or else provide ...

This post offers reasons for using logarithmic scales, also called log scales, on charts and graphs. It explains when logarithmic graphs with base 2 are preferred to logarithmic graphs with base 10.