根据其他df的值计算新列值

Question

I have two data-frames.
First contains some info based on index like below:(First column is the index)

index,Dist,Individual
Big,100,50
Small,50,100

second dataframe:

id,hour,machinesize,type 
1,10,Big,Dist
2,20,Small,Individual

I want to calculate the values like below:

hour* (values from df1 based on Big,Dist ) ie 10 *100
My final output will look like below:

id,hour,calc
1,10,1000
2,20,2000  

The 'machinesize' value = 'index' in first df

Answer 1

This will get you the desired result:

result = df2.merge(df1, left_on='machinezise', right_on='index')

result.assign(calc=result.lookup(result.index, result.type)*result.hour)[['id', 'hour', 'calc']]

result

   id  hour  calc
0   1    10  1000
1   2    20  2000