How Can I Get the Total Memory Usage of a Python Process?

Getting Total Memory Usage of a Python Process

Determining the total amount of memory utilized by a Python process can be crucial, especially when managing large datasets or preventing memory leaks. Python provides several methods to retrieve this information.

One effective approach is to use the psutil library. This well-maintained module offers a comprehensive set of functions for monitoring process-related information across various operating systems. Here's how it can be used:

import psutil
process = psutil.Process()
memory_usage = process.memory_info().rss  # memory usage in bytes

The memory_info() method returns various information about the process's memory usage, including resident set size (rss). This value represents the total amount of physical memory used by the process, including both allocated and shared memory.

Notes:

• To install psutil, use pip install psutil.

• A convenient method to obtain memory usage in MiB:

  import os, psutil
  memory_usage_mib = psutil.Process(os.getpid()).memory_info().rss / 1024 ** 2

• Earlier versions of Python and psutil may require using process.memory_info()[0] instead.

By leveraging this approach, developers can monitor memory usage and take appropriate measures when necessary, ensuring optimal performance and preventing memory-related issues in their Python applications.

The above is the detailed content of How Can I Get the Total Memory Usage of a Python Process?. For more information, please follow other related articles on the PHP Chinese website!