TheBubblePopped

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from sklearn.cluster import KMeans
from sklearn.datasets import make_blobs
import pandas as pd
from sklearn import preprocessing as p
import plotly.graph_objects as go

pd.set_option('display.max_columns', 80)

TheBubblePopped

import timeit
import pandas as pd
pd.set_option('display.max_columns', 50)
pd.set_option('display.width', 1000)
import pymongo
import time

movie = pd.read_csv('Pandas-Cookbook/data/movie.csv', index_col='movie_title')