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)
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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Previous: Write a Pandas program to get the items of a given series not present in another given series.
Next: Write a Pandas program to compute the minimum, 25th percentile, median, 75th, and maximum of a given series.
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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())
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)
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