Python 子进程参数

2023-07-21Python开发问题
0

本文介绍了Python 子进程参数的处理方法,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

例如我正在使用 ffplay 并想运行这个命令 -bufsize[:stream_specifier] integer (output,audio,video)

For example I am using ffplay and want to run this command -bufsize[:stream_specifier] integer (output,audio,video)

目前我有这个:

subprocess.call(["ffplay", "-vn", "-nodisp","-bufsize 4096", "%s" % url])

但这说明它是无效的.

推荐答案

正如 JBernardo 在评论中提到的,将 "-bufsize 4096" 参数一分为二,"-bufsize",4096".当 subprocess.callshell=False (默认)一起使用时,每个参数都需要分开.您还可以指定 shell=True 并将整个命令作为单个字符串提供,但由于潜在的安全漏洞,不建议这样做.

As JBernardo mentioned in a comment, separate the "-bufsize 4096" argument into two, "-bufsize", "4096". Each argument needs to be separated when subprocess.call is used with shell=False (the default). You can also specify shell=True and give the whole command as a single string, but this is not recommended due to potential security vulnerabilities.

您不需要在有 "%s" % url 的地方使用字符串格式.如果url是字符串,直接传递,否则调用str(url)得到字符串表示.

You should not need to use string formatting where you have "%s" % url. If url is a string, pass it directly, otherwise call str(url) to get a string representation.

这篇关于Python 子进程参数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

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

按10分钟间隔对 pandas 数据帧进行分组
Grouping pandas DataFrame by 10 minute intervals(按10分钟间隔对 pandas 数据帧进行分组)...
2024-08-22 Python开发问题
11