To do so, you can get your histogram data using matplotlib, clear the axis, and then re-plot it on two separate axes (shifting the bin edges so that they don't overlap):

Jul 23, 2025 · Histograms are used to represent the frequencies across various intervals in a dataset. In this article, we will learn how to create overlapping histograms in Python using the Matplotlib library. …

Mar 2, 2020 · Learn how to create multiple overlapping histograms in Python using Matplotlib. Step-by-step code, plots, and tips for customizing colors, density, and proportions

Jul 23, 2025 · Creating the histogram provides the visual representation of data distribution. By using a histogram we can represent a large amount of data and its frequency as one continuous plot. How to …

Plots with different scales # Two plots on the same Axes with different left and right scales. The trick is to use two different Axes that share the same x axis. You can use separate matplotlib.ticker …

Grouped bar chart with labels # This example shows a how to create a grouped bar chart and how to annotate bars with labels.

Because PolyQuadMesh draws each individual polygon, it also supports applying hatches and linestyles to the collection. Another difference is the support of Gouraud shading in pcolormesh, which is not …

Jul 23, 2025 · Matplotlib is a powerful visualization library in Python that allows for the creation of various types of plots, including bar charts. When working with multiple bar charts, we can represent data in …

List of named colors # This plots a list of the named colors supported by Matplotlib. For more information on colors in matplotlib see the Specifying colors tutorial; the matplotlib.colors API; the Color Demo. …

I have a plot with two y-axes, using twinx(). I also give labels to the lines, and want to show them with legend(), but I only succeed to get the labels of one axis in the legend: import numpy as np