Detailed explanation of how to use Python to filter specified processes

Preface

In an operating system, a process refers to an instance of a running program. Sometimes we need to filter and manage specific processes, such as finding processes with a specific name, or filtering based on the properties of the process. If it is a Linux system, we have several performance monitoring commands that can be viewed in real time and can use different commands to filter out the results. If it is a Windows system, the command line is not so convenient. However, Python provides a variety of ways to filter and operate processes. This article will introduce how to use Python to filter specified processes and show some practical skills and methods.

Use the psutil library to find processes

psutil is a powerful cross-platform library that can easily obtain system process and system utilization information. We can use psutil to enumerate all processes and filter them according to the properties of the process.

Here is an example showing how to use the psutil library to find a process with a specific name:

import psutil

def find_process_by_name(process_name):
    for proc in psutil.process_iter(['pid', 'name']):
        if ['name'] == process_name:
            print(f"Find the process '{process_name}'，PIDfor {['pid']}")

# Example usagefind_process_by_name('')

In this example, the find_process_by_name function takes a process name as a parameter, then iterates over all processes in the system, finds the process matching the specified name and prints its PID.

Use the subprocess module to execute system commands

In addition to using third-party libraries such as psutil, we can also use the subprocess module to execute system commands to find processes. On Linux and Unix systems, you can use the ps command to list processes and then parse the results through Python.

Here is an example of using the subprocess module to execute ps commands:

import subprocess

def find_process_by_name_linux(process_name):
    command = f"ps aux | grep '{process_name}'"
    result = (command, shell=True, stdout=, text=True)
    output = ()
    if output:
        print("Finding process:")
        print(output)
    else:
        print(f"No name found '{process_name}' The process")

# Example usagefind_process_by_name_linux('chrome')

In this example, the find_process_by_name_linux function executes the ps aux | grep '{process_name}' command, and then parses the command output to find the process with the specified name.

Combined with conditional filtering process

In addition to finding processes by name, we can also filter processes based on other conditions, such as filtering based on the process's CPU utilization or memory usage. This is very effective when we look for processes with high resource occupancy.

Here is an example that demonstrates how to filter processes based on their CPU utilization:

import psutil

def find_high_cpu_processes(threshold):
    for proc in psutil.process_iter(['pid', 'name', 'cpu_percent']):
        if ['cpu_percent'] > threshold:
            print(f"process '{['name']}' useCPUThreshold exceeded {threshold}%")

# Example usagefind_high_cpu_processes(50.0)

In this example, the find_high_cpu_processes function traverses processes in the system, finds processes whose CPU utilization exceeds the specified threshold and prints their name.

Summarize

Using Python to filter specified processes is one of the important tasks of managing and monitoring systems. This article introduces several methods to implement process filtering and management, including using the psutil library, executing system commands, and combining conditional filtering processes. Readers can choose appropriate methods based on actual needs and operating system environment to apply to actual scenarios.

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