python - How to iterate over rows in a DataFrame in Pandas? -

i have dataframes pandas:

import pandas pd inp = [{'c1':10, 'c2':100}, {'c1':11,'c2':110}, {'c1':12,'c2':120}] df = pd.dataframe(inp) print df

output:

   c1   c2 0  10  100 1  11  110 2  12  120

now want iterate on rows of above frame. every row want able access elements (values in cells) name of columns. so, example, have that:

for row in df.rows:    print row['c1'], row['c2']

is possible in pandas?

i found similar question. not give me answer need. example, suggested there use:

for date, row in df.t.iteritems():

for row in df.iterrows():

but not understand row object , how can work it.

iterrows generator yield both index , row

in [18]: index, row in df.iterrows():    ....:     print row['c1'], row['c2']    ....:      10 100 11 110 12 120

Parth Code