Pandas Data Series: Get the items of a given series not present in another given series

Pandas: Data Series Exercise-16 with Solution

Write a Pandas program to get the items of a given series not present in another given series.

Sample Solution :

Python Code :

import pandas as pd
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 sr1 not present in sr2:")
result = sr1[~sr1.isin(sr2)]
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 sr1 not present in sr2:
0    1
2    3
4    5
dtype: int64                

Explanation:

sr1 = pd.Series([1, 2, 3, 4, 5])
sr2 = pd.Series([2, 4, 6, 8, 10])

Above code creates two Pandas Series objects 'sr1' and 'sr2', each containing a sequence of five integer values.

result = sr1[~sr1.isin(sr2)]: This line creates a new Pandas Series object 'result' by selecting the elements from the original Series object 'sr1' that are not in the Series object 'sr2'. This is done by applying a boolean mask to the original Series object using the .isin() method to check which elements in 'sr1' are present in 'sr2', and then negating the boolean mask using the tilde (~) operator.

Python-Pandas Code Editor:

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