pympler_memory_profiling_object_size_and_leak_detection.py

1from pympler import asizeof
2from pympler import tracker
3from pympler import summary
4from pympler import muppy
5
6# 1. Measure the size of an object (including nested objects)
7obj = [1, 2, (3, 4), 'text']
8print(f"Size of object: {asizeof.asizeof(obj)} bytes")
9
10# 2. Track memory growth during execution
11tr = tracker.SummaryTracker()
12# Create some objects to track
13data = [list(range(100)) for _ in range(1000)]
14tr.print_diff()
15
16# 3. Identify all objects currently in memory (muppy)
17all_objects = muppy.get_objects()
18sum1 = summary.summarize(all_objects)
19summary.print_(sum1)