# import sqlite3
# import pandas as pd
# import numpy as np
# import matplotlib.pyplot as plt
# from sklearn.cluster import KMeans
# from sklearn.preprocessing import scale
# from customplot import *
#
#
# cnx = sqlite3.connect('database.sqlite')
# df = pd.read_sql_query("SELECT * FROM Player_Attributes", cnx)
#
#
# # print(df.columns)
# print(df.describe().transpose())
# # print(df.isnull().any().any(), df.shape)
#
# print()
#
# print(df.head(5))
