Python Pandas iterate over rows and access column names

I also like itertuples()

for row in df.itertuples():
    print(row.A)
    print(row.Index)

since row is a named tuples, if you meant to access values on each row this should be MUCH faster

speed run :

df = pd.DataFrame([x for x in range(1000*1000)], columns=['A'])
st=time.time()
for index, row in df.iterrows():
    row.A
print(time.time()-st)
45.05799984931946

st=time.time()
for row in df.itertuples():
    row.A
print(time.time() - st)
0.48400020599365234