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Pandas includes a .plot() method built directly into DataFrames and Series, providing a convenient shortcut for creating visualisations without importing Matplotlib or Seaborn explicitly. Under the hood, Pandas plotting uses Matplotlib as its default backend — so you can customise plots further using Matplotlib functions.
| Advantage | Description |
|---|---|
| Speed | One line of code to go from DataFrame to chart |
| Convenience | No need to extract columns manually |
| Integration | Plots directly from the data structure you are already working with |
| Familiar | Uses Matplotlib syntax for customisation |
import pandas as pd
import matplotlib.pyplot as plt
# DataFrame.plot(kind="chart_type", ...)
df.plot(kind="bar", x="category", y="value")
plt.show()
# Or use shortcut methods
df.plot.bar(x="category", y="value")
plt.show()
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