﻿ Pandas: Extract only phone number from the specified column of a given DataFrame - w3resource

# 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

Python: Time library

Time library provides lots of time related functions and methods and is good to know whether you're developing a website or apps and games or working with data science or trading financial markets. Time is essential in most development pursuits and Python's standard time library comes very handy for that.

Let's check out a few simple examples:

moment=time.strftime("%Y-%b-%d__%H_%M_%S",time.localtime())

```import time
time_now=time.strftime("%H:%M:%S",time.localtime())
print(time_now)
date_now=time.strftime("%Y-%b-%d",time.localtime())
print(date_now)
```

Output:

```11:36:34
2020-Nov-30```