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Pandas Example – Write a Pandas program to extract only number from the specified column of a given DataFrame

By on Saturday, April 10, 2021

(Python Example for Beginners)

 

Write a Pandas program to extract only number 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.','920 N. Bishop Ave.','9910 Golden Star St.', '25 Dunbar St.', '17 West Livingston Court']
    })

print("Original DataFrame:")
print(df)

def find_number(text):
    num = re.findall(r'[0-9]+',text)
    return " ".join(num)

df['number']=df['address'].apply(lambda x: find_number(x))
print("Extracting numbers from dataframe columns:")
print(df)

Sample Output:

Original DataFrame:
  company_code                   address
0        c0001          7277 Surrey Ave.
1        c0002        920 N. Bishop Ave.
2        c0003      9910 Golden Star St.
3        c0003             25 Dunbar St.
4        c0004  17 West Livingston Court
Extracting numbers from dataframe columns:
  company_code                   address number
0        c0001          7277 Surrey Ave.   7277
1        c0002        920 N. Bishop Ave.    920
2        c0003      9910 Golden Star St.   9910
3        c0003             25 Dunbar St.     25
4        c0004  17 West Livingston Court     17

 

Pandas Example – Write a Pandas program to extract only number from the specified column of a given DataFrame

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Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.
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