iterrows pandas get next rows value

Question

I have a df in pandas

import pandas as pd
df = pd.DataFrame([\'AA\', \'BB\', \'CC\'], columns = [\'value\'])

I want to iterate over rows in

Answer 1

I would use shift() function as follows:

df['value_1'] = df.value.shift(-1)
[print(x) for x in df.T.unstack().dropna(how = 'any').values];

which produces

AA
BB
BB
CC
CC

This is how the code above works:

Step 1) Use shift function

df['value_1'] = df.value.shift(-1)
print(df)

produces

value value_1
0    AA      BB
1    BB      CC
2    CC     NaN

step 2) Transpose:

df = df.T
print(df)

produces:

          0   1    2
value    AA  BB   CC
value_1  BB  CC  NaN

Step 3) Unstack:

df = df.unstack()
print(df)

produces:

0  value       AA
   value_1     BB
1  value       BB
   value_1     CC
2  value       CC
   value_1    NaN
dtype: object

Step 4) Drop NaN values

df = df.dropna(how = 'any')
print(df)

produces:

0  value      AA
   value_1    BB
1  value      BB
   value_1    CC
2  value      CC
dtype: object

Step 5) Return a Numpy representation of the DataFrame, and print value by value:

df = df.values
[print(x) for x in df];

produces:

AA
BB
BB
CC
CC