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Pandas Example – Write a Pandas program to extract only phone 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 phone 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'],
    'company_phone_no': ['Company1-Phone no. 4695168357','Company2-Phone no. 8088729013','Company3-Phone no. 6204658086', 'Company4-Phone no. 5159530096', 'Company5-Phone no. 9037952371']
    })

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

def find_phone_number(text):
    ph_no = re.findall(r"bd{10}b",text)
    return "".join(ph_no)

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

Sample Output:

Original DataFrame:
  company_code               company_phone_no
0        c0001  Company1-Phone no. 4695168357
1        c0002  Company2-Phone no. 8088729013
2        c0003  Company3-Phone no. 6204658086
3        c0003  Company4-Phone no. 5159530096
4        c0004  Company5-Phone no. 9037952371
Extracting numbers from dataframe columns:
  company_code               company_phone_no      number
0        c0001  Company1-Phone no. 4695168357  4695168357
1        c0002  Company2-Phone no. 8088729013  8088729013
2        c0003  Company3-Phone no. 6204658086  6204658086
3        c0003  Company4-Phone no. 5159530096  5159530096
4        c0004  Company5-Phone no. 9037952371  9037952371

 

 

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

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  • 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.
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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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