


How Can I Effectively Profile and Monitor Memory Usage in Python?
How can I analyze memory usage in Python?
Profiling Memory Usage in Python
Python 3.4 introduced the tracemalloc module for in-depth analysis of memory allocation. To display memory allocation statistics for a specific function:
from tracemalloc import start, take_snapshot, display_top start() # Code to profile memory usage snapshot = take_snapshot() display_top(snapshot)
Monitoring Memory Over Time
To track memory usage over an extended period:
from collections import Counter import time def count_prefixes(): counts = Counter() with open('/usr/share/dict/american-english') as words: words = list(words) for word in words: counts[word[:3]] += 1 time.sleep(0.0001) return counts.most_common(3) count_prefixes() snapshot = take_snapshot() display_top(snapshot)
Using a Separate Thread for Monitoring
To monitor memory usage from a separate thread while the main thread runs:
from queue import Queue from threading import Thread def memory_monitor(queue): while True: try: command = queue.get(timeout=0.1) if command == 'stop': return snapshot = take_snapshot() print(datetime.now(), 'max RSS', getrusage(RUSAGE_SELF).ru_maxrss) except Empty: continue queue = Queue() monitor_thread = Thread(target=memory_monitor, args=(queue,)) monitor_thread.start() try: count_prefixes() finally: queue.put('stop') monitor_thread.join()
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