Overlapping Histograms with Matplotlib in Python
Histograms are a way of visualizing the data. Here, we will learn how to plot overlapping histograms in python using Matplotlib library. matplotlib.pyplot.hist() is used for making histograms.
Let’s take the iris dataset and plot various overlapping histograms with Matplotlib.
Step 1: Import the libraries
Step 2: Load the dataset
Step 3: Let us plot histograms for sepal_length and petal_length.
Here, we can see that some part of the histogram for ‘petal_length’ has been hidden behind the histogram for ‘sepal_length’. To properly visualize both the histograms, we need to set the transparency parameter, alpha to a suitable value. So let’s check various values for alpha and find out the suitable one.
Step 4: Set alpha=0.5 for both sepal_length and petal_length
Step 5: Set alpha=0.1 for sepal_length and 0.9 for petal_length
Through the above two steps, we can infer that for a better visualization for both the histograms, alpha=0.5 would be the most suitable option for the transparency parameter.
Now, to plot more than two overlapping histograms where we need custom colors, let’s follow step 6.
Step 6: Create more than 2 overlapping histograms with customized colors.
Thus, in this article, we learned how to plot overlapping histograms using Matplotlib, how to set their transparency values, and customize their colors.