Description
Multi-Purpose Leather Pin Buckle Handmade Couples Pant Trendy Casual Belt
This versatile belt is the perfect accessory for any outfit. Made from high-quality two-layer cowhide, it is both durable and stylish. The width of the belt is 3.5cm, making it the perfect size for everyday wear. It comes in a variety of colors and lengths, including black, brown, burgundy, and two-tone options. Choose from lengths of 110cm, 115cm, or 120cm to find the perfect fit for you.
The pin buckle adds a touch of elegance to the belt, making it suitable for both casual and dressy occasions. The woven design adds texture and interest to the belt, making it a statement piece for any outfit. The belt is also available in a wider width of 4.0cm for those who prefer a bolder look.
Each belt comes with a single belt in the chosen color and length. The product image showcases the belt's structure and design, giving you a clear idea of what to expect. This belt is a must-have for any wardrobe, offering both style and functionality.
<|endoftext|># -*- coding: utf-8 -*-'''Created on Mon Mar 2 14:44:44 2020This script is used to generate the data for the 'Data' section of the README.md file.It reads the data from the data folder and generates a table with the following columns: - Dataset name - Number of samples - Number of features - Number of classes - DescriptionThe table is then saved as a markdown file in the data folder.Note: This script requires the `pandas` library to be installed.'''import osimport pandas as pd# Get the list of datasetsdatasets = os.listdir('data')# Initialize the dataframedf = pd.DataFrame(columns='Dataset name', 'Number of samples', 'Number of features', 'Number of classes', 'Description')# Loop through the datasetsfor dataset in datasets: # Get the dataset name dataset_name = dataset.split('.')0 # Get the number of samples num_samples = len(pd.read_csv('data/' + dataset)) # Get the number of features num_features = len(pd.read_csv('data/' + dataset).
