[Python] Python Pandas iterate over rows and access column names

I am trying to iterate over the rows of a Python Pandas dataframe. Within each row of the DataFrame, I am trying to refer to each value along a row by its column name.

Here is what I have:

import numpy as np
import pandas as pd

df = pd.DataFrame(np.random.rand(10,4),columns=list('ABCD'))
print df
A B C D
0 0.351741 0.186022 0.238705 0.081457
1 0.950817 0.665594 0.671151 0.730102
2 0.727996 0.442725 0.658816 0.003515
3 0.155604 0.567044 0.943466 0.666576
4 0.056922 0.751562 0.135624 0.597252
5 0.577770 0.995546 0.984923 0.123392
6 0.121061 0.490894 0.134702 0.358296
7 0.895856 0.617628 0.722529 0.794110
8 0.611006 0.328815 0.395859 0.507364
9 0.616169 0.527488 0.186614 0.278792


I used this approach to iterate, but it is only giving me part of the solution - after selecting a row in each iteration, how do I access row elements by their column name?

Here is what I am trying to do:

for row in df.iterrows():
print row.loc[0,'A']
print row.A
print row.index()


My understanding is that the row is a Pandas series. But I have no way to index into the Series.

Is it possible to use column names while simultaneously iterating over rows?

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