# import necessary libraries
import pandas as pd

# define two series
ser1 = pd.Series(['a', 'b', 'c', 'd', 'e'])
ser2 = pd.Series(['b', 'd', 'f', 'a', 'g'])

# find the index positions using list comprehension
positions = [ser2.index[ser2 == x][0] 
             if len(ser2[ser2 == x]) > 0 
             else None 
             for x in ser1]

# convert list in Pandas Index & drop NaN values
positions = pd.Index(positions).dropna()

# print the result in the form of a dictionary
print(ser2[positions].to_dict())