31 Jan Matplotlib – Plotting
In this lesson, we will plot a line in Matplotlib. For the x and y input, let us consider a DataFrame. The following is the library to be imported for Pandas:
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import pandas as pd |
The following is the library to be imported for Matplotlib with the PyPlot sub module:
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import matplotlib.pyplot as plt |
First, create a DataFrame. The Pandas DataFrame is a Two-dimensional, tabular data, table with rows and columns. The DataFrame() method is used for this purpose:
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# DataFrame with 3 columns dataFrame = pd.DataFrame( { "Cricket_Bat": ['SG', 'BDM', 'SS', 'GM', 'Kookaburra', 'Spartan'], "MRP": [2000, 2200, 2400, 2700, 2800, 3000], "Weight_Grams": [1100, 1200, 1250, 1330, 1480, 1600] } ) |
The columns of the DataFrame will be used for both the x and y coordinates of the plot():
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plt.plot(dataFrame["MRP"], dataFrame["Weight_Grams"]) |
Let us now see the complete example to plot in Matplotlib:
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import pandas as pd import matplotlib.pyplot as plt # DataFrame with 3 columns dataFrame = pd.DataFrame( { "Cricket_Bat": ['SG', 'BDM', 'SS', 'GM', 'Kookaburra', 'Spartan'], "MRP": [2000, 2200, 2400, 2700, 2800, 3000], "Weight_Grams": [1100, 1200, 1250, 1330, 1480, 1600] } ) # Plot a line graph using the pyplot.plot() method # The x and y coordinates are the colimns of the DataFrame plt.plot(dataFrame["MRP"], dataFrame["Weight_Grams"]) # Display the figure plt.show() |
Output
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