When generating 100 large matplotlib plots in a loop, which method best prevents excessive memory usage?

hard📝 Application Q8 of 15

Matplotlib - Performance and Large Data

AUse plt.show() inside the loop without closing figures

BStore all figure objects in a list and close them after the loop

CCreate each figure, plot data, then call plt.close() before next iteration

DIncrease system RAM to handle all figures simultaneously

Step-by-Step Solution

Solution:

Step 1: Understand memory usage
Each open figure consumes memory. Keeping many open simultaneously causes high memory usage.
Step 2: Close figures promptly
Closing each figure immediately after plotting frees memory before creating the next.
Step 3: Avoid storing all figures
Storing all figure objects delays memory release and can cause memory overflow.
Final Answer:
Create each figure, plot data, then call plt.close() before next iteration -> Option C
Quick Check:
Close figures inside the loop to manage memory efficiently. [OK]

Quick Trick: Close each figure inside loop to save memory [OK]

Common Mistakes:

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