[Solved] You want to export a plot for a presentation slide. The plot has tight labels and legends that get cut off in the saved... Which plt.savefig() option helps fix this issue while keeping high quality? | Matplotlib

Matplotlib - Export and Publication Quality

You want to export a plot for a presentation slide. The plot has tight labels and legends that get cut off in the saved image. Which plt.savefig() option helps fix this issue while keeping high quality?

AUse <code>dpi=50</code> and no other options.

BUse <code>transparent=True</code> only.

CUse <code>bbox_inches='tight'</code> with a high <code>dpi</code> value.

DUse <code>facecolor='white'</code> only.

Step-by-Step Solution

Solution:

Step 1: Understand the problem of cut-off labels
Labels and legends can be cut off if the bounding box is not adjusted when saving.
Step 2: Use bbox_inches='tight' to include all plot elements
This option adjusts the bounding box to fit all parts of the plot, preventing cut-offs.
Step 3: Combine with high dpi for clear image
Setting a high dpi ensures the saved image is sharp and professional for presentations.
Final Answer:
Use bbox_inches='tight' with a high dpi value. -> Option C
Quick Check:
bbox_inches='tight' + high dpi = clear, complete plot [OK]

Quick Trick: bbox_inches='tight' fixes cut-off; dpi improves clarity [OK]

Common Mistakes:

Ignoring bbox_inches causes cut-off
Using low dpi reduces image quality
Thinking transparent or facecolor fix cut-off

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Which plt.savefig() option helps fix this issue while keeping high quality?

Step 1: Understand the problem of cut-off labels

Step 2: Use bbox_inches='tight' to include all plot elements

Step 3: Combine with high dpi for clear image

Final Answer:

Quick Check:

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