Matplotlib – Add Labels to a Plot

We can add labels to a plot easily in Matplotlib using two methods i.e. xlabel() for x-coordinates and ylabel() for y-coordinates. Before moving further, we’ve prepared a video tutorial to learn to add labels to a plot in Matplotlib:

Let us see an example to add labels to a plot in Matplotlib:

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 columns of the DataFrame
plt.plot(dataFrame["MRP"], dataFrame["Weight_Grams"])

# The labels for x-coordinate and y-coordinate
plt.xlabel("Bat Price (USD)")
plt.ylabel("Bat Weight (Grams)")

# Display the figure
plt.show()

Output

Matplotlib Labels


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Read More:

Matplotlib - Add Grid Lines
Matplotlib - Plot Titles and Position them
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