w3resource

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:


Have another way to solve this solution? Contribute your code (and comments) through Disqus.

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.

What is the difficulty level of this exercise?

Test your Python skills with w3resource's quiz



Python: Tips of the Day

Python: Time library

Time library provides lots of time related functions and methods and is good to know whether you're developing a website or apps and games or working with data science or trading financial markets. Time is essential in most development pursuits and Python's standard time library comes very handy for that.

Let's check out a few simple examples:

moment=time.strftime("%Y-%b-%d__%H_%M_%S",time.localtime())

import time
time_now=time.strftime("%H:%M:%S",time.localtime())
print(time_now)
date_now=time.strftime("%Y-%b-%d",time.localtime())
print(date_now)

Output:

11:36:34
2020-Nov-30