unzip_nested_zip(os.path.join(temp_dir, file), target_dir) os.remove(os.path.join(temp_dir, file)) else: zip_file.extract(file, target_dir) zip_file.close() # 调用函数解压缩zip文件和嵌套的zip文件到目标目录 zip_file_path = 'zip文件路径' target_dir = '目标目录路径' un...
defextract_nested_zips(zip_path,extract_to='.'):""" 解压嵌套zip文件 :param zip_path: 外部压缩包的路径 :param extract_to: 解压的目标文件夹 """extract_zip(zip_path,extract_to)# 解压外层压缩包nested_zips=find_nested_zips(extract_to)fornested_zipinnested_zips:print(f'正在解压:{nested_zip...
下面是一个使用Python递归解压缩包的代码示例: importosimportzipfiledefunzip_file(zip_file,target_dir):withzipfile.ZipFile(zip_file,'r')aszf:forfile_nameinzf.namelist():file_path=os.path.join(target_dir,file_name)iffile_name.endswith('/'):# 文件夹os.makedirs(file_path,exist_ok=True)els...
print(zipped_list) # 输出 [ (1, 'a'), (2, 'b'), (3, 'c')] 压缩函数方法非常适合需要并行处理多个列表的情况,zip()函数具有高效和简洁的特点。 十三、通过解压函数取出列表元素 Python 的unzip操作可以将压缩的列表解压为多个列表。可以通过结合zip()函数和星号运算符*来实现。 zipped_list = [...
zip()是Python的一个内建函数,它接受一系列可迭代的对象作为参数,将对象中对应的元素打包成一个个tuple(元组),然后返回由这些tuples组成的list(列表)。若传入参数的长度不等,则返回list的长度和参数中长度最短的对象相同。利用*号操作符,可以将list unzip(解压)。
# basic use of zip x = [1, 2, 3] y = [4, 5, 6] zipped = zip(x, y) print(list(zipped)) # zip for loops for i,j in zip(x,y): print(i, "->", j) # unzip the list a = [(1,2,3), (3,4,5)] x2, y2, z2 = zip(*a) print(x2) print(y2) print(z2)...
The second step zips the application’s source directory contents usingZipFilein a nestedwithstatement. Theforloop iterates over the files inrealpython/usingpathlib.Path.rglob()and writes them tozip_app. Note that.rglob()searches for files and directories recursively through the target folder,ap...
原文地址:http://t.cn/RFbYlD1 Pythonis one of the world’s most popular, in-demand programming languages. This is for many reasons: it’s easy to learn it’s super versatile it has a huge range of modules and libraries I use Python daily as an integral part of my job as a data ...
zipped = dict(zip(keys, vals)) Thezip()inbuilt function takes a number of iterable objects and returns a list of tuples. Each tuple groups the elements of the input objects by their positional index. You can also ‘unzip’ objects by calling*zip()on them....
You use zip() to unzip the content of sales into two variables: x holds a list of fruits. y holds the corresponding units sold per fruit. Then you create a bar chart using plt.bar(). When you run plt.show(), you get a window like the following on your screen: In this chart...