text_plain_output_2.png application_vnd.jupyter.stderr_output_1.png
import glob

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import glob
rating_files = glob.glob('/kaggle/input/netflix-prize-data/combined_data_*.txt')
rating_files

df_ratings = pd.concat([pd.read_csv(filename, header=None, names=['customer_id', 'rating', 'date'], parse_dates=['date']) for filename in rating_files])

df_movies = pd.read_csv('/kaggle/working/modified_movie_titles.csv', header=None, names=['movie_id', 'year_of_release', 'title'], parse_dates=['year_of_release'], encoding='latin-1')
df_movies.head()