Pandas: Extract only number from the specified column of a given DataFrame
Pandas: String and Regular Expression Exercise-27 with Solution
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
Python Code Editor:
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Previous: Write a Pandas program to extract word mention someone in tweets using @ from the specified column of a given DataFrame.
Next: Write a Pandas program to extract only phone number from the specified column of a given DataFrame.
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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
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