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Create a Horizontal Bar Chart using Python Pandas
To plot a Horizontal Bar Plot, use the pandas.DataFrame.plot.barh. A bar plot shows comparisons among discrete categories.
At first, import the required libraries −
import pandas as pd import matplotlib.pyplot as plt
Create a Pandas DataFrame with 4 columns −
dataFrame = pd.DataFrame({"Car": ['Bentley', 'Lexus', 'BMW', 'Mustang', 'Mercedes', 'Jaguar'],"Cubic_Capacity": [2000, 1800, 1500, 2500, 2200, 3000],"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000],"Units_Sold": [ 100, 110, 150, 80, 200, 90] })
Plot Horizontal Bar Chart using the plot.barh() −
dataFrame.plot.barh(x='Car', y='Cubic_Capacity', title='Car Specifications', color='blue')
Example
Following is the complete code −
import pandas as pd import matplotlib.pyplot as plt # creating dataframe dataFrame = pd.DataFrame({"Car": ['Bentley', 'Lexus', 'BMW', 'Mustang', 'Mercedes', 'Jaguar'],"Cubic_Capacity": [2000, 1800, 1500, 2500, 2200, 3000],"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000],"Units_Sold": [ 100, 110, 150, 80, 200, 90] }) # plotting Horizontal Bar Chart dataFrame.plot.barh(x='Car', y='Cubic_Capacity', title='Car Specifications', color='blue') # set the label plt.xlabel("CC (Cubic Capacity)" ) # display the plotted Horizontal Bar Chart plt.show()
Output
This will produce the following output −
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