
# #https://pandas.pydata.org/pandas-docs/stable/10min.html
# import sys
# import numpy as np
# import pandas as pd
# import matplotlib.pyplot as plt

from sklearn import datasets
#from sklearn import linear_model


data = datasets.load_boston()

# l = [1,2,3,4,5,6,7,8,9]

# ages = pd.DataFrame(l)
# #print(ages)
# print(ages[0][6])
# print(len(ages))
# print(ages.iloc[len(ages)-1,0])
# sys.exit(0)

# #print(dates)

# df = pd.DataFrame(np.random.randn(6,4), index=dates, columns=list('ABCD'))

# print(df)

# #print(df.values)
# #print(df.T)

# #print(df[0:2])

# print(df.loc[dates[1]])

# print(df.loc['2013-01-02'])