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Pandas: Extract numbers greater than 940 from the specified column of a given DataFrame

Pandas: String and Regular Expression Exercise-33 with Solution

Write a Pandas program to extract numbers greater than 940 from the 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': ['7277 Surrey Ave.1111','920 N. Bishop Ave.','9910 Golden Star St.', '1025 Dunbar St.', '1700 West Livingston Court']
    })
print("Original DataFrame:")
print(df)
def test_num_great(text): 
    result = re.findall(r'95[5-9]|9[6-9]\d|[1-9]\d{3,}',text)
    return " ".join(result)
df['num_great']=df['address'].apply(lambda x : test_num_great(x))
print("\nNumber greater than 940:")
print(df)

Sample Output:

Original DataFrame:
  company_code                     address
0        c0001        7277 Surrey Ave.1111
1        c0002          920 N. Bishop Ave.
2        c0003        9910 Golden Star St.
3        c0003             1025 Dunbar St.
4        c0004  1700 West Livingston Court

Number greater than 940:
  company_code                     address  num_great
0        c0001        7277 Surrey Ave.1111  7277 1111
1        c0002          920 N. Bishop Ave.           
2        c0003        9910 Golden Star St.        991
3        c0003             1025 Dunbar St.       1025
4        c0004  1700 West Livingston Court       1700

Python Code Editor:


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Previous: Write a Pandas program to remove repetitive characters from the specified column of a given DataFrame.
Next: Write a Pandas program to extract numbers less than 100 from the specified column of a given DataFrame.

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Python: Tips of the Day

Returns True if there are duplicate values in a flat list, False otherwise

Example:

def tips_duplicates(lst):
  return len(lst) != len(set(lst))

x = [2, 4, 6, 8, 4, 2]
y = [1, 3, 5, 7, 9]
print(tips_duplicates(x))
print(tips_duplicates(y))

Output:

True
False