import pandas as pd
import numpy as np
sr1 = pd.Series([1, 2, 3, 4, 5])
sr2 = pd.Series([2, 4, 6, 8, 10])
print("Original Series:")
print("sr1:")
print(sr1)
print("sr2:")
print(sr2)
print("\nItems of a given series not present in another given series:")
sr11 = pd.Series(np.union1d(sr1, sr2))
sr22 = pd.Series(np.intersect1d(sr1, sr2))
result = sr11[~sr11.isin(sr22)]
print(result)
Sample Output:
Original Series:
sr1:
0 1
1 2
2 3
3 4
4 5
dtype: int64
sr2:
0 2
1 4
2 6
3 8
4 10
dtype: int64
Items of a given series not present in another given series:
0 1
2 3
4 5
5 6
6 8
7 10
dtype: int64
Sample Output:
need an explanation for this answer? contact us directly to get an explanation for this answer