How to iterate over rows in a DataFrame in Pandas?

Question

I have a DataFrames from pandas:
import pandas as 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 I want to iterate over the rows of the above frame. For every row I want to be able to access its elements (values in cells) by the name of the columns. So, for example, I would like to have something like that:
for row in df.rows:
print row['c1'], row['c2']
Is it possible to do that in pandas?

Answer 1

Try this (its in python 3.6). For some reason this editor doesn't see the indent for the for loop so I spaced it.

 

import pandas as pd

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

print("\n","For Loop Output:")
for indexer in df.index:
      print(df.loc[indexer,"c1"],",", df.loc[indexer,"c2"])