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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Previous: Write a Pandas program to extract only number from the specified column of a given DataFrame.
Next: Write a Pandas program to extract year between 1800 to 2200 from the specified column of a given DataFrame.
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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
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