为了安装多个包，我使用了一个setup.py文件，代码如下:

import sys
import subprocess
import pkg_resources

required  = {'numpy', 'pandas', '<etc>'} 
installed = {pkg.key for pkg in pkg_resources.working_set}
missing   = required - installed

if missing:
    # implement pip as a subprocess:
    subprocess.check_call([sys.executable, '-m', 'pip', 'install', *missing])

为了安装多个包，我使用了一个setup.py文件，代码如下:

import sys
import subprocess
import pkg_resources

required  = {'numpy', 'pandas', '<etc>'} 
installed = {pkg.key for pkg in pkg_resources.working_set}
missing   = required - installed

if missing:
    # implement pip as a subprocess:
    subprocess.check_call([sys.executable, '-m', 'pip', 'install', *missing])

为了有条件地安装多个确切版本的包，我一直在使用基于@Tanmay Shrivastava的回答的这个模式:

import sys
from subprocess import run, PIPE, STDOUT
import pkg_resources

def run_cmd(cmd):
    ps = run(cmd, stdout=PIPE, stderr=STDOUT, shell=True, text=True)
    print(ps.stdout)


# packages to be conditionally installed with exact version
required = {"click==8.0.1", "semver==3.0.0.dev2"}
installed = {f"{pkg.key}=={pkg.version}" for pkg in pkg_resources.working_set}
missing = required - installed

if missing:
    run_cmd(f'pip install --ignore-installed {" ".join([*missing])}')

这应该可以工作:

import subprocess

def install(name):
    subprocess.call(['pip', 'install', name])

你可以用"install_requires"选项在你自己的包的setup.py中定义依赖模块。

如果您的包需要生成一些控制台脚本，那么您可以使用“console_scripts”入口点来生成将放置的包装器脚本 在“bin”文件夹中(例如你的virtualenv环境)。

    import pip

try:
    import imaplib
    import email
    import pandas as pd
    # for hiding password
    from pathlib import Path
    from dotenv import load_dotenv
    import os
    import requests
    # 
    from collections import defaultdict
    from itertools import permutations,combinations
except Exception as e:
    print(e)
    e = str(e).split(' ')[-1].replace("'","")
    pip.main(['install', e])