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Consider this code:

medium📝 Predict Output Q5 of 15
Matplotlib - Performance and Large Data
Consider this code:
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.scatter(range(5000), range(5000), rasterized=True)
plt.savefig('scatter.pdf')

What is the expected result in the PDF file?
AThe scatter points are rasterized, improving PDF rendering speed.
BThe scatter points remain vector graphics, increasing file size.
CThe PDF file will be corrupted due to rasterization.
DThe scatter plot will not be saved in the PDF.
Step-by-Step Solution
Solution:
  1. Step 1: Rasterization effect on scatter plots in PDF

    Rasterizing scatter points converts many vector points to a raster image inside PDF.
  2. Step 2: Impact on rendering and file size

    This reduces file size and speeds up rendering without losing the scatter plot.
  3. Final Answer:

    The scatter points are rasterized, improving PDF rendering speed. -> Option A
  4. Quick Check:

    Rasterized scatter in PDF = faster rendering [OK]
Quick Trick: Rasterize dense scatter plots to speed PDF rendering [OK]
Common Mistakes:
  • Assuming rasterization corrupts PDF
  • Thinking scatter points stay vector
  • Believing plot won't save

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