First of all, to create any type of histogram whether it’s a simple histogram or a stacked histogram, we need to import libraries that will help us to implement our task.
- From the NumPy library, we will use np.random.randn(1000, 3) which will create a 1000 arrays with 3 random values in each array
- And the final and most important library which helps us to visualize our data is Matplotlib.
With the below lines of code, we can import all three libraries with their standard alias.
import numpy as np import matplotlib.pyplot as plt
Plotting stacked histogram using Python’s Matplotlib library:
The below code will create the stacked histogram using Python’s Matplotlib library. To plot, we have to pass the parameter stacked = True in the plt.hist () which informs Matplotlib library to perform the stacking task. Have a look at the below code:
n_bins=30 x = np.random.randn(1000, 3) colors = ['blue', 'orange', 'green'] plt.hist(x, n_bins, density=1, histtype='bar', stacked=True, label=colors) plt.legend(loc="upper right") plt.title('Stacked-histogram ') plt.show()
Hope you like our post – Plotting stacked histogram using Python’s Matplotlib library. To learn more about Matplotlib package, you can go through the official documentation here.