shutil.make_archive() 至少接收两个参数:归档的名称和归档格式。 默认情况下,它将当前目录中的所有文件压缩为 format 参数中指定的归档格式。 你可以传入可选的 root_dir 参数来压缩不同目录中的文件。 .make_archive() 支持zip,tar,bztar 和gztar 存档格式。 以下是使用 shutil 创建TAR存档的方法: import sh...
前面展示了tempfile创建临时文件的功能,而有些场景下,我们需要创建临时文件夹,这可以基于TemporaryDirectory()来实现,特性类似TemporaryFile(): 典型的应用场景是配合TemporaryDirectory()和shutil生成压缩包文件: importshutilimportzipfileimportnumpyasnpwithtempfile.TemporaryDirectory()asp:# 模拟向当前临时目录下写出多个...
importshutilimportzipfileimportnumpyasnpwithtempfile.TemporaryDirectory()asp:# 模拟向当前临时目录下写出多个文件foriinrange(100):(pd.DataFrame(np.random.rand(10,3),columns=list('ABC')).to_csv(os.path.join(p,f'demo{i+1}.csv'),index=False))# 将当前临时目录转为zip压缩包 shutil.make_archiv...
zipfile.Zipfile().extract(文件名),从zip文件中提取给定的文件; shutil.make_archive(基础文件名,格式名,根路径),从给定的参数中压缩打包一个文件夹为压缩包; shutil.unpack_archive(压缩包文件名,提取到的目录),解压一个压缩包到指定目录; 实例演示 十一、读取多个文件 fileinput.input([文件名列表]),从给定...
当运行python/path/to/directory/时,Python 的行为就像我们输入python/path/to/directory/__main__.py一样。 换句话说,Python 会做以下两件事: 将目录/path/to/directory/添加到模块路径中。 执行/path/to/directory/__main__.py中的代码。 运行python /path/to/filename.zip时,Python 会把文件当做一个目录...
tas_change_yr_rolling5=tas_change_yr.rolling(year=5,center=True).mean().dropna('year').tas # Make a directory to save all the figures there:ifnot os.path.exists('./Figures_ssp585/'):os.makedirs('./Figures_ssp585/')foriinrange(len(tas_change_yr_rolling5)):dataplot=tas_change_yr...
To test the interpreter, typemake testin the top-level directory. The test set produces some output. You can generally ignore the messages about skipped tests due to optional features which can't be imported. If a message is printed about a failed test or a traceback or core dump is produ...
If used, either via configure --enable-optimizations or by manually running make profile-opt regardless of configure flags, the optimized build process will perform the following steps: The entire Python directory is cleaned of temporary files that may have resulted from a previous compilation. An ...
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If your project uses packages that aren't publicly available to our tools, you can make them available to your app by putting them in the __app__/.python_packages directory. Before you publish, run the following command to install the dependencies locally: command Copy pip install --target...