获取隐藏密码输入

2023-09-28Python开发问题
7

本文介绍了获取隐藏密码输入的处理方法,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

您知道在 Linux 中,当您尝试一些 Sudo 内容时,它会告诉您输入密码,而当您键入时,终端窗口中没有显示任何内容(未显示密码)?

You know how in Linux when you try some Sudo stuff it tells you to enter the password and, as you type, nothing is shown in the terminal window (the password is not shown)?

有没有办法在 Python 中做到这一点?我正在编写一个需要如此敏感信息的脚本,并希望在我输入时将其隐藏.

Is there a way to do that in Python? I'm working on a script that requires so sensitive info and would like for it to be hidden when I'm typing it.

换句话说,我想在不显示密码的情况下从用户那里获取密码.

In other words, I want to get the password from the user without showing the password.

推荐答案

使用<代码>getpass.getpass():

from getpass import getpass
password = getpass()

一个可选的提示可以作为参数传递;默认为 密码:".

An optional prompt can be passed as parameter; the default is "Password: ".

请注意,此功能需要正确的终端,因此它可以关闭输入字符的回显 - 请参阅 GetPassWarning: Can not control echo on the terminal"从 IDLE 运行时了解更多详情.

Note that this function requires a proper terminal, so it can turn off echoing of typed characters – see "GetPassWarning: Can not control echo on the terminal" when running from IDLE for further details.

这篇关于获取隐藏密码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