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Practice

Saving Plots to File


Sometimes, you’ll want to save your plots for later — maybe to include in a report or share with a colleague.
Matplotlib makes this easy using the savefig() function.


Saving the Current Plot​

Use plt.savefig("filename.ext") to export the current plot.

Saving as PNG
import matplotlib.pyplot as plt

x = [1, 2, 3, 4]
y = [10, 20, 25, 30]

plt.plot(x, y)
plt.title("Trend Line")
plt.savefig("plot.png")  # Saves the image file

You can use various formats: "png", "jpg", "svg", "pdf", etc.

Make sure to call savefig() before plt.show() — otherwise, the saved image might be empty.


Controlling Image Quality​

You can adjust image resolution using the dpi (dots per inch) parameter.

High Resolution Export
plt.savefig("plot_high_res.png", dpi=300)

This is useful when preparing plots for printing or publishing.


Saving Without Displaying​

You can save a plot without calling plt.show(). This is helpful when generating many charts automatically.

Save Without Showing
plt.plot(x, y)
plt.title("Autosave Example")
plt.savefig("autosave.png")

No plot will display, but the file will be saved.


What’s Next?​

Now that you can save your plots, the next lesson will explore how to apply themes and styles to match your branding or presentation format.

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