In plt.hist() method, stacked=True could help to get the heights of the bars sum to 1.
Create a list of numbers.
Using plt.hist(), we can draw the histogram.
stacked : bool, default: False
If "True", multiple data are stacked on top of each other If ``False`` multiple data are arranged side by side if histtype is 'bar' or on top of each other if histtype is 'step'.
density : bool, default: False
If "True", draw and return a probability density: each bin will display the bin's raw count divided by the total number of counts *and the bin width*.
To show the figure, use the plt.show() method.
from matplotlib import pyplot as plt x = [1, 4, 16, 64, 256] # stacked and density are true then the sum of the histograms is normalized to 1. plt.hist(x, 10, stacked=True, density=True) plt.show()