使用 StringIO 作为 Popen 的标准输入

2023-07-21Python开发问题
1

本文介绍了使用 StringIO 作为 Popen 的标准输入的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

问题描述

我有以下我想用 Python 编写的 shell 脚本(当然 grep . 实际上是一个更复杂的命令):

I have the following shell script that I would like to write in Python (of course grep . is actually a much more complex command):

#!/bin/bash

(cat somefile 2>/dev/null || (echo 'somefile not found'; cat logfile)) 
| grep .

我试过这个(无论如何它都缺少与 cat logfile 等效的东西):

I tried this (which lacks an equivalent to cat logfile anyway):

#!/usr/bin/env python

import StringIO
import subprocess

try:
    myfile = open('somefile')
except:
    myfile = StringIO.StringIO('somefile not found')

subprocess.call(['grep', '.'], stdin = myfile)

但我得到错误 AttributeError: StringIO instance has no attribute 'fileno'.

我知道我应该使用 subprocess.communicate() 而不是 StringIO 将字符串发送到 grep 进程,但我不知道如何混合使用这两个字符串和文件.

I know I should use subprocess.communicate() instead of StringIO to send strings to the grep process, but I don't know how to mix both strings and files.

推荐答案

p = subprocess.Popen(['grep', '...'], stdin=subprocess.PIPE, 
                                      stdout=subprocess.PIPE)
output, output_err = p.communicate(myfile.read())

这篇关于使用 StringIO 作为 Popen 的标准输入的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

The End

相关推荐

在xarray中按单个维度的多个坐标分组
groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)...
2024-08-22 Python开发问题
15

Pandas中的GROUP BY AND SUM不丢失列
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)...
2024-08-22 Python开发问题
17

pandas 有从特定日期开始的按月分组的方式吗?
Is there a way of group by month in Pandas starting at specific day number?( pandas 有从特定日期开始的按月分组的方式吗?)...
2024-08-22 Python开发问题
10

GROUP BY+新列+基于条件的前一行抓取值
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)...
2024-08-22 Python开发问题
18

PANDA中的Groupby算法和插值算法
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)...
2024-08-22 Python开发问题
11

PANAS-基于列对行进行分组,并将NaN替换为非空值
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)...
2024-08-22 Python开发问题
10