import quandl
import pandas as pd
api_key = '2LWMTZKKbDgy5Zqycxjq'

#df = quandl.get('FMAC/HPI_AK', authtoken=api_key, start_date="1999-01-31")

#print(df.head())

fiddy_states = pd.read_html('https://simple.wikipedia.org/wiki/List_of_U.S._states')

#This is a list:
#print(fiddy_states)

#This is a dataframe:
#print(fiddy_states[0])

#This is a column:
print(fiddy_states[0][1])

for abbv in fiddy_states [0] [1] [2:]:
    #print(abbv)
    print("FMAC/HPI_"+str(abbv))

b195afe4e187b614894648a3e6bd353ebedf2c50
<mask token>

<mask token>
print(fiddy_states[0][1])
for abbv in fiddy_states[0][1][2:]:
    print('FMAC/HPI_' + str(abbv))

<mask token>
api_key = '2LWMTZKKbDgy5Zqycxjq'
fiddy_states = pd.read_html(
    'https://simple.wikipedia.org/wiki/List_of_U.S._states')
print(fiddy_states[0][1])
for abbv in fiddy_states[0][1][2:]:
    print('FMAC/HPI_' + str(abbv))

import quandl
import pandas as pd
api_key = '2LWMTZKKbDgy5Zqycxjq'
fiddy_states = pd.read_html(
    'https://simple.wikipedia.org/wiki/List_of_U.S._states')
print(fiddy_states[0][1])
for abbv in fiddy_states[0][1][2:]:
    print('FMAC/HPI_' + str(abbv))

import quandl
import pandas as pd
api_key = '2LWMTZKKbDgy5Zqycxjq'

#df = quandl.get('FMAC/HPI_AK', authtoken=api_key, start_date="1999-01-31")

#print(df.head())

fiddy_states = pd.read_html('https://simple.wikipedia.org/wiki/List_of_U.S._states')

#This is a list:
#print(fiddy_states)

#This is a dataframe:
#print(fiddy_states[0])

#This is a column:
print(fiddy_states[0][1])

for abbv in fiddy_states [0] [1] [2:]:
    #print(abbv)
    print("FMAC/HPI_"+str(abbv))
