How Can I Efficiently Measure the Memory Usage of a Python Process?

Measuring Memory Consumption of Python Processes

Determining the total memory utilized by a Python process is crucial for optimizing resource allocation and discarding unnecessary cached data. Here's an effective solution that works across various operating systems:

Using the psutil Package

The psutil package offers a comprehensive set of tools for monitoring system resources, including memory usage. To measure the memory consumed by a Python process, follow these steps:

import psutil

# Create a Process object representing the current process
process = psutil.Process()

# Retrieve the memory information in bytes
memory_info = process.memory_info()

# Print the Resident Set Size (RSS) of the process
print(memory_info.rss)  # in bytes

Additional Notes:

• Ensure that the psutil package is installed using pip install psutil.
• For a quick estimate of process memory usage in MiB, use the following one-liner:

import os, psutil; print(psutil.Process(os.getpid()).memory_info().rss / 1024 ** 2)

• In Python 2.7 and psutil version 5.6.3, the memory_info()[0] method was used instead of the rss attribute.

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