AI检测代码解析 frompathlibimportPathdefget_file_names(folder):folder_path=Path(folder)file_names=[file_path.nameforfile_pathinfolder_path.iterdir()iffile_path.is_file()]returnfile_names 1. 2. 3. 4. 5. 6. 在上面的代码中,Path类用于表示文件路径,iterdir()方法用于获取文件夹下的所有路径(包...
stat_info = os.stat(file_path)if"linux"insys.platformor"darwin"insys.platform:print("Change time: ", dt.fromtimestamp(stat_info.st_ctime))elif"win"insys.platform:print("Creation time: ", dt.fromtimestamp(stat_info.st_ctime))else:print("[-] Unsupported platform {} detected. Cannot inte...
class Component: def __init__(self, name): self.name = name def move(self, new_path): new_folder = get_path(new_path) del self.parent.children[self.name] new_folder.children[self.name] = self self.parent = new_folder def delete(self): del self.parent.children[self.name] class ...
「Create an empty file insidemypythonlibthat is called__init__.py. Basically, any folder that has an__init__.pyfile in it, will be included in the library when we build it. Most of the time, you can leave the__init__.pyfiles empty. Upon import, the code within__init__.pygets...
from pathlibimportPathforfilenameinPath.home().glob('*.rxt'):#os.unlink(filename)print(filename) 现在os.unlink()调用被注释了,所以 Python 忽略了它。相反,您将打印已被删除的文件的文件名。首先运行这个版本的程序会显示你不小心让程序删除了rxt文件而不是txt文件。
import os, re # 导入操作系统库和正则表达式库 XLS_folder = r'D:\统计年鉴\2021原始xls文件' # 存放原始年鉴的文件夹路径 # 读取 XLS_folder 下所有的 .xls 文件的文件名 File_names = [f for f in os.listdir(XLS_folder ) if f.endswith('.xls')] # 去除文件名称前后不需要的文字,留下的就...
```# Python script to remove empty folders in a directoryimport osdef remove_empty_folders(directory_path):for root, dirs, files in os.walk(directory_path, topdown=False):for folder in dirs:folder_path = os.path.join(root,...
walk('.', topdown=False): print(f'Found directory: {dirpath}') for file_name in files: print(file_name) 传递topdown=False 参数将使 os.walk() 首先打印出它在子目录中找到的文件: Found directory: ./folder_1 file1.py file3.py file2.py Found directory: ./folder_2 file4.py file5....
Python 复制 from sklearn import datasets import pandas as pd # SkLearn has the Iris sample dataset built in to the package iris = datasets.load_iris() df = pd.DataFrame(iris.data, columns=iris.feature_names) 5-3 - 使用 Revoscalepy API 创建表并加载 Iris 数据Python 复制 ...
首先,我将使用该 get_dummies 方法为分类变量创建虚拟列。 dataset = pd.get_dummies(df, columns = ['sex', 'cp','fbs','restecg','exang', 'slope','ca', 'thal'])from sklearn.model_selection import train_test_splitfrom sklearn.preprocessing import StandardScalerstandardScaler = StandardScaler(...