pd.read_arff

pandas.read_arff() is a method that reads an ARFF (Attribute-Relation File Format) file and returns a pandas DataFrame.

ARFF files are used in machine learning and data mining tasks to define datasets. They consist of two parts: relation and attributes. The relation part specifies the name of the dataset, while the attribute part defines the attributes of the data, including their names, types, and possible values.

The read_arff() method in pandas allows you to read an ARFF file and convert it into a pandas DataFrame. The resulting DataFrame will have columns corresponding to the attributes defined in the ARFF file, and each row will correspond to an instance of the dataset.

Here's an example usage of the read_arff() method:

import pandas as pd

data = pd.read_arff('dataset.arff')

This will read the file 'dataset.arff' and return a DataFrame 'data' containing the dataset.