To plot a line graph from histogram data in matplotlib, we use numpy histogram method to compute the histogram of a set of data.
Steps
Add a subplot to the current figure, nrows=2, ncols=1 and index=1.
Use numpy histogram method to get the histogram of a set of data.
Plot the histogram using hist() method with edgecolor=black.
At index 2, use the computed data (from numpy histogram). To plot them, we can use plot() method.
To display the figure, use show() method.
Example
import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True plt.subplot(211) data = np.array(np.random.rand(100)) y, binEdges = np.histogram(data, bins=100) plt.hist(data, bins=100, edgecolor='black') plt.subplot(212) bincenters = 0.5 * (binEdges[1:] + binEdges[:-1]) plt.plot(bincenters, y, '-', c='black') plt.show()