python使用psutil获取系统（Windows Linux）所有运行进程信息实战：CPU时间、内存使用量、内存占用率、PID、名称、创建时间等；

psutil模块可以跨平台使用，支持Linux／UNIX／OSX／Windows等，它主要用来做系统监控，性能分析，进程管理等。

# 使用pip安装psutil包

pip install psutil

# process_iter方法返回的是一个迭代器，其内容就是当前正在进行的所有进程的信息，例如、CPU时间、内存使用率、名称、PID等；

psutil.process_iter(attrs=None, ad_value=None)

<generator object process_iter at 0x0000015DDB19DC78>

# 迭代获取所有的进程，从进程信息中获取进程的名称以及进程的ID；

# 以为系统以及应用软件的差异，我们在不同系统、不同时间、不同设备上面看的信息是不同的；

# 大家对应的计算机的进程也是各异的；

import psutil# Iterate over all running processfor proc in psutil.process_iter():try:# Get process name & pid from process object.processName = proc.name()processID = proc.pidprint(processName , ' ::: ', processID)except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess):pass

System Idle Process ::: 0System ::: 4services.exe ::: 92Registry ::: 120lsass.exe ::: 300conhost.exe ::: 304smss.exe ::: 468RuntimeBroker.exe ::: 748rishiqing.exe ::: 760svchost.exe ::: 768csrss.exe ::: 808svchost.exe ::: 896..................................

#process_iter()函数可以用来产生生成器中的进程对象，而进程对象Process提供一个as_dict()函数用来以字典的形式获取用户期望的进程信息；

# 迭代获得的所有进程并抽取进程信息中的：名称、CPU占用率、PID（进程标识符）

# 可以获得的完整信息包括：

'pid', 'memory_percent', 'name', 'cpu_times', 'create_time', 'memory_info' etc.

PID（进程标识符）、内存占用率、名称、CPU时间、创建时间、内存信息 等；

其他更具体的可以获得信息可以参考psutil的API文档；

psutil提供的进程函数可以以字典的形式返回任何用户指定的内容；

import psutillistOfProcessNames = list()# Iterate over all running processesfor proc in psutil.process_iter():# Get process detail as dictionarypInfoDict = proc.as_dict(attrs=['pid', 'name', 'cpu_percent'])# Append dict of process detail in listlistOfProcessNames.append(pInfoDict)listOfProcessNames

[{'name': 'System Idle Process', 'cpu_percent': 768.5, 'pid': 0},{'name': 'System', 'cpu_percent': 1.5, 'pid': 4},{'name': 'services.exe', 'cpu_percent': 0.5, 'pid': 92},{'name': 'Registry', 'cpu_percent': 0.0, 'pid': 120},{'name': 'lsass.exe', 'cpu_percent': 0.0, 'pid': 300},{'name': 'conhost.exe', 'cpu_percent': 0.0, 'pid': 304},{'name': 'smss.exe', 'cpu_percent': 0.0, 'pid': 468},{'name': 'RuntimeBroker.exe', 'cpu_percent': 0.0, 'pid': 748},{'name': 'rishiqing.exe', 'cpu_percent': 0.0, 'pid': 760},{'name': 'svchost.exe', 'cpu_percent': 0.0, 'pid': 768},{'name': 'csrss.exe', 'cpu_percent': 0.0, 'pid': 808},{'name': 'svchost.exe', 'cpu_percent': 0.0, 'pid': 896},{'name': 'wininit.exe', 'cpu_percent': 0.0, 'pid': 904},..................................]

# 获取当前系统的进程并按照内存使用量排序；

# 它将遍历所有运行进程的列表，并将id和name作为dict获取内存使用情况。

# Process类提供了进程的内存信息，它从进程中获取虚拟内存使用情况，然后将每个进程的字典添加到一个列表中。最后根据关键虚拟机对字典列表进行排序，所以进程列表会根据内存使用情况进行排序。

import psutildef getListOfProcessSortedByMemory():'''Get list of running process sorted by Memory Usage'''listOfProcObjects = []# Iterate over the listfor proc in psutil.process_iter():try:# Fetch process details as dictpinfo = proc.as_dict(attrs=['pid', 'name', 'username'])pinfo['vms'] = proc.memory_info().vms / (1024 * 1024)# Append dict to listlistOfProcObjects.append(pinfo);except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess):pass# Sort list of dict by key vms i.e. memory usagelistOfProcObjects = sorted(listOfProcObjects, key=lambda procObj: procObj['vms'], reverse=True)return listOfProcObjectsgetListOfProcessSortedByMemory()

[{'name': 'python.exe','username': 'user','pid': 16276,'vms': 966.26953125},{'name': 'dwm.exe', 'username': None, 'pid': 26132, 'vms': 709.0234375},{'name': 'pythonw.exe','username': 'user','pid': 23660,'vms': 564.61328125},{'name': 'mcshield.exe', 'username': None, 'pid': 6932, 'vms': 469.2578125},{'name': 'test.exe','username': 'user','pid': 16292,'vms': 456.34765625},..................................]

# 完整代码参考如下：

import psutildef getListOfProcessSortedByMemory():'''Get list of running process sorted by Memory Usage'''listOfProcObjects = []# Iterate over the listfor proc in psutil.process_iter():try:# Fetch process details as dictpinfo = proc.as_dict(attrs=['pid', 'name', 'username'])pinfo['vms'] = proc.memory_info().vms / (1024 * 1024)# Append dict to listlistOfProcObjects.append(pinfo);except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess):pass# Sort list of dict by key vms i.e. memory usagelistOfProcObjects = sorted(listOfProcObjects, key=lambda procObj: procObj['vms'], reverse=True)return listOfProcObjectsdef main():print("*** Iterate over all running process and print process ID & Name ***")# Iterate over all running processfor proc in psutil.process_iter():try:# Get process name & pid from process object.processName = proc.name()processID = proc.pidprint(processName , ' ::: ', processID)except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess):passprint('*** Create a list of all running processes ***')listOfProcessNames = list()# Iterate over all running processesfor proc in psutil.process_iter():# Get process detail as dictionarypInfoDict = proc.as_dict(attrs=['pid', 'name', 'cpu_percent'])# Append dict of process detail in listlistOfProcessNames.append(pInfoDict)# Iterate over the list of dictionary and print each elemfor elem in listOfProcessNames:print(elem)print('*** Top 5 process with highest memory usage ***')listOfRunningProcess = getListOfProcessSortedByMemory()for elem in listOfRunningProcess[:5] :print(elem)if __name__ == '__main__':main()

参考：/giampaolo/psutil

参考：Python : Get List of all running processes and sort by highest memory usage

参考：python 实时得到cpu和内存的使用情况方法

参考：.NET(C#)：获取进程的CPU使用状况

参考：Python - get process names,CPU,Mem Usage and Peak Mem Usage in windows

参考：psutil 4.0.0 and how to get “real” process memory and environ in Python

参考：Python编程——psutil模块的使用详解

python使用psutil获取系统（Windows Linux）所有运行进程信息实战：CPU时间 内存使用量 内存占用率 PID 名称 创建时间等；