## Getting a dataset as input to python node
df=in1

## Importing libraries
import pandas as pd
import numpy as np
df=pd.DataFrame(df)

## Deriving new columns 
df['ac']=df['acquisition_expense'] if df.calendarpd==1 else 0
df['total_revenue']=df.expected_benefit+df.expense+df.release+df.ac
df['cost']=(df.expense+df.ac)*(-1)

## Output of the node:resulting dataframe
out1=df