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What is the internal effect of not closing large matplotlib figures on system resources?

hard📝 Conceptual Q10 of 15
Matplotlib - Performance and Large Data
What is the internal effect of not closing large matplotlib figures on system resources?
AFigures remain in memory, increasing RAM usage and possibly causing slowdowns or crashes
BFigures are automatically compressed to save memory
CFigures are saved to disk automatically to free RAM
DFigures do not consume memory until plt.show() is called
Step-by-Step Solution
Solution:

  1. Step 1: Understand figure memory allocation

    Each figure allocates memory for data and rendering buffers.

  2. Step 2: Effect of not closing figures

    Figures stay in memory, increasing RAM use and risking slowdowns or crashes.

  3. Final Answer:

    Figures remain in memory, increasing RAM usage and possibly causing slowdowns or crashes -> Option A

  4. Quick Check:

    Unclosed figures = high RAM use [OK]
Quick Trick: Unclosed figures keep using RAM until closed [OK]
Common Mistakes:
  • Assuming auto compression
  • Thinking figures save to disk automatically
  • Believing memory use waits for plt.show()

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