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Pandas: Extract only phone number from the specified column of a given DataFrame

Pandas: String and Regular Expression Exercise-28 with Solution

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"\b\d{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

Python Code Editor:


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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