There are several problems in your code. First the big ones: You are creating a new figure and a new axes in every iteration of your loop → put fig = plt.figure and ax = fig.add_subplot(1,1,1) outside of the loop. Don’t use the Locators. Call the functions ax.set_xticks() and ax.grid() with the correct keywords. With … Read more
I had exactly the same problem, and these lines fixed the problem: from matplotlib.ticker import ScalarFormatter y_formatter = ScalarFormatter(useOffset=False) ax.yaxis.set_major_formatter(y_formatter)
This should be simpler: (from https://scivision.co/matplotlib-force-integer-labeling-of-axis/) import matplotlib.pyplot as plt from matplotlib.ticker import MaxNLocator #… ax = plt.figure().gca() #… ax.xaxis.set_major_locator(MaxNLocator(integer=True))
You can use the Axes.set_yscale method. That allows you to change the scale after the Axes object is created. That would also allow you to build a control to let the user pick the scale if you needed to. The relevant line to add is: ax.set_yscale(‘log’) You can use ‘linear’ to switch back to a … Read more