提示文件的轻量级跨平台方式

2023-07-06Python开发问题
2

本文介绍了提示文件的轻量级跨平台方式的处理方法,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

我发现了一种非常内置且简单的方法来提示系统特定的漂亮打开文件对话框:

I found a very built-in and easy way to prompt a system-specific nice open file dialog:

import Tkinter
from tkFileDialog import askopenfilename
tk_root = Tkinter.Tk()
tk_root.withdraw()

result = askopenfilename(
    filetypes=[("Foos", "*.png")],
)

但是,就大小而言,这种依赖性太重了.我正在使用 py2exe 打包我的应用程序,并且由于必须包含 Tkinter,该应用程序要大 7 兆字节.肯定有更简单的方法来提示适用于 Windows、Mac 和 Linux 的本机文件对话框?

However, this is way too heavy a dependency in terms of size. I'm packaging my app with py2exe and the app is 7 megabytes bigger for having to include Tkinter. Surely there must be a simpler way to prompt a native file dialog that works on Windows, Mac, and Linux?

推荐答案

有一个C库设计来执行这个功能,可以用python包装.

There is a C library designed to perform this function, which could be wrapped in python.

https://github.com/mlabbe/nativefiledialog

不确定 py2exe 格式有什么限制,但我认为这可以打包到一个点子轮中.

Not sure what limitations the py2exe format imposes but I think this could be packaged into a pip wheel for example.

这篇关于提示文件的轻量级跨平台方式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