Matplotlib - Performance and Large DataHow can you combine matplotlib with Python's garbage collector to manage memory when creating many figures?AClose each figure with plt.close() and call gc.collect() to free memory immediatelyBOnly rely on gc.collect() without closing figuresCCreate figures without closing and disable garbage collectorDUse plt.show() to automatically clear memoryCheck Answer
Step-by-Step SolutionSolution:Step 1: Role of plt.close()plt.close() releases figure memory by closing it.Step 2: Role of gc.collect()gc.collect() forces Python to clean up unreferenced objects immediately.Step 3: Combining bothClosing figures and then calling gc.collect() ensures memory is freed promptly.Final Answer:Close each figure with plt.close() and call gc.collect() to free memory immediately -> Option AQuick Check:Close + gc.collect() = best memory management [OK]Quick Trick: Use plt.close() plus gc.collect() for tight memory control [OK]Common Mistakes:Ignoring plt.close()Disabling garbage collectorExpecting plt.show() to clear memory
Master "Performance and Large Data" in Matplotlib9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
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