


df = pandas.read_csv('titanic_data.csv')


for index, row_array in df.iterrows():
    print x, y[0]





# by replacing spaces with underscores and setting all characters to lowercase, so the
# column names more closely resemble columns names one might find in a table.

aadhaar_data = pandas.read_csv('aadhaar_data.csv')
aadhaar_data.rename(columns = lambda x: x.replace(' ', '_').lower(), inplace=True)

# http://pandas.pydata.org/pandas-docs/stable/basics.html
# itterrows
for row_index, row in df2.iterrows()

# itteritems
for item, frame in wp.iteritems():

