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How to plot a Pandas Dataframe with Matplotlib?
We can plot Line Graph, Pie Chart, Histogram, etc. with a Pandas DataFrame using Matplotlib. For this, we need to import Pandas and Matplotlib libraries −
import pandas as pd import matplotlib.pyplot as plt
Let us begin plotting −
Line Graph
Example
Following is the code −
import pandas as pd import matplotlib.pyplot as plt # creating a DataFrame with 2 columns dataFrame = pd.DataFrame( { "Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'], "Reg_Price": [2000, 2500, 2800, 3000, 3200, 3500], "Units": [100, 120, 150, 170, 180, 200] } ) # plot a line graph plt.plot(dataFrame["Reg_Price"], dataFrame["Units"]) plt.show()
Output
This will produce the following output −
Pie Chart
Example
Following is the code to plot a Pie Chart −
import pandas as pd import matplotlib.pyplot as plt # creating dataframe dataFrame = pd.DataFrame({ "Car": ['BMW', 'Lexus', 'Tesla', 'Mustang', 'Mercedes', 'Jaguar'], "Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000] }) # plot a Pie Chart for Registration Price column with label Car column plt.pie(dataFrame["Reg_Price"], labels = dataFrame["Car"]) plt.show()
Output
This will produce the following output −
Histogram
Example
Following is the code to plot Histogram −
import pandas as pd import matplotlib.pyplot as plt # creating dataframe dataFrame = pd.DataFrame({ "Car": ['BMW', 'Lexus', 'Tesla', 'Mustang', 'Mercedes', 'Jaguar'],"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000] }) # plot a histogram for Registration Price column plt.hist(dataFrame["Reg_Price"]) plt.show()
Output
This will produce the following output −
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