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Plotting multiple line graphs using Pandas and Matplotlib
To plot multiple line graphs using Pandas and Matplotlib, we can take the following steps −
Set the figure size and adjust the padding between and around the subplots.
Make a 2D potentially heterogeneous tabular data using Pandas DataFrame class, where the column are x, y and equation.
Get the reshaped dataframe organized by the given index such as x, equation, and y.
Use the plot() method to plot the lines.
To display the figure, use show() method.
Example
import pandas as pd from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame([ ["y=x^3", 0, 0], ["y=x^3", 1, 1], ["y=x^3", 2, 8], ["y=x^3", 3, 27], ["y=x^3", 4, 64], ["y=x^2", 0, 0], ["y=x^2", 1, 1], ["y=x^2", 2, 4], ["y=x^2", 3, 9], ["y=x^2", 4, 16], ["y=mx", 0, 0], ["y=mx", 1, 1], ["y=mx", 2, 2], ["y=mx", 3, 3], ["y=mx", 4, 3], ], columns=['equation', 'x', 'y']) df = df.pivot(index='x', columns='equation', values='y') df.plot() plt.show()
Output
Updated on: 01-Jun-2021
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