How to round scientific notation formatted axis tick labels to integers

Question

I have a histogram which has scientific notation of values along Y axis:

The Channel B histogram has decimals along the Y axis. I want these numbers to be integers. I tried this solution, but once set_major_formatter is applied, the scientific notation is ruined, and then I cannot get it back since pyplot.ticklabel_format(axis = 'y', style = 'sci') raises AttributeError: This method only works with the ScalarFormatter. How can I prevent scientific notation from having decimals?

What if you define a list of integers to place ticks at, say `x`, and use `plt.yticks(x)` or `ax.set_yticks(x)`? — medium-dimensional, Jun 04 '22 at 11:10
All the subplots are built in a single loop. I'd like this to be automated and not to depend on a given image for analysis — Kaiyakha, Jun 04 '22 at 11:13
" I want these numbers to be integers... the scientific notation is ruined" I don't follow. Scientific notation inherently requires floating-point numbers. — Karl Knechtel, Jun 04 '22 at 12:36

Kaiyakha · Accepted Answer · 2022-06-04T12:41:37.517

1

I've found this solution offering MaxNLocator. It seems to work pretty fine if the amount of bins allows to keep ticks as integers. So for a simple plot it may go like this:

from matplotlib.ticker import MaxNLocator
# Some code
plt.gca().yaxis.set_major_locator(MaxNLocator(integer = True, nbins = 3))

The same can be applied to xaxis.

edited Jun 04 '22 at 12:41

answered Jun 04 '22 at 12:33

Kaiyakha

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How to round scientific notation formatted axis tick labels to integers

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