﻿ Pandas Data Series: Get the items which are not common of two given series - w3resource

# Python Pandas: Get the items which are not common of two given series

## Python Pandas: Data Series Exercise-17 with Solution

Write a Pandas program to get the items which are not common of two given series.

Sample Solution :

Python Code :

``````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
```

Python Code Editor:

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## Python: Tips of the Day

Python: Cache results with decorators

There is a great way to cache functions with decorators in Python. Caching will help save time and precious resources when there is an expensive function at hand.

Implementation is easy, just import lru_cache from functools library and decorate your function using @lru_cache.

```from functools import lru_cache

@lru_cache(maxsize=None)
def fibo(a):
if a <= 1:
return a
else:
return fibo(a-1) + fibo(a-2)

for i in range(20):
print(fibo(i), end="|")

print("\n\n", fibo.cache_info())
```

Output:

```0|1|1|2|3|5|8|13|21|34|55|89|144|233|377|610|987|1597|2584|4181|

CacheInfo(hits=36, misses=20, maxsize=None, currsize=20)```