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Pandas: Check whether two given words present in a specified column of a given DataFrame

Pandas: String and Regular Expression Exercise-35 with Solution

Write a Pandas program to check whether two given words present in a specified column of a given DataFrame.

Sample Solution:

Python Code :

import pandas as pd
import re as re
pd.set_option('display.max_columns', 10)
df = pd.DataFrame({
    'company_code': ['c0001','c0002','c0003', 'c0003', 'c0004'],
    'address': ['9910 Surrey Ave.','92 N. Bishop Ave.','9910 Golden Star Ave.', '102 Dunbar St.', '17 West Livingston Court']
    })
print("Original DataFrame:")
print(df)
def test_and_cond(text):
    result = re.findall(r'(?=.*Ave.)(?=.*9910).*', text) 
    return " ".join(result)
df['check_two_words']=df['address'].apply(lambda x : test_and_cond(x))
print("\nPresent two words!")
print(df)

Sample Output:

Original DataFrame:
  company_code                   address
0        c0001          9910 Surrey Ave.
1        c0002         92 N. Bishop Ave.
2        c0003     9910 Golden Star Ave.
3        c0003            102 Dunbar St.
4        c0004  17 West Livingston Court

Present two words!
  company_code                   address        check_two_words
0        c0001          9910 Surrey Ave.       9910 Surrey Ave.
1        c0002         92 N. Bishop Ave.                       
2        c0003     9910 Golden Star Ave.  9910 Golden Star Ave.
3        c0003            102 Dunbar St.                       
4        c0004  17 West Livingston Court

Python Code Editor:


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Previous: Write a Pandas program to extract numbers less than 100 from the specified column of a given DataFrame.
Next: Write a Pandas program to extract date (format: mm-dd-yyyy) from a given column of a given DataFrame.

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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)