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

Hits: 30

(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

Sign up to get end-to-end “Learn By Coding” example.


Two Machine Learning Fields

There are two sides to machine learning:

  • Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
  • Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
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.