tf-idf in python. I wish to combine the tf-idf values in one csv file

Question

I have calculated tf-idf matrices for 3 different columns in a.csv file and now want to store these values in one single csv file with column names as the column whose tf-idf values it is storing. I am new to python. Please help me with this problem.

import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
import csv

data=pd.read_excel(r"C:\Users\amgup\Downloads\classification\Model_Dataset.xlsx", usecols=['Category','Title','Description'])
vectorizer = TfidfVectorizer()
matrix1 = vectorizer.fit_transform(data['Category'].values.astype(str))
matrix2 = vectorizer.fit_transform(data['Title'].values.astype(str))
matrix3 = vectorizer.fit_transform(data['Description'].values.astype(str))

Answer 1

Did you try to use np.savetxt ?

np.savetxt('data.csv', (matrix1 , matrix1 2, matrix3), delimiter=',')