Pandas Excel: Find details where 'Labor Hours' greater than a specific number

Last update on May 03 2025 13:06:32 (UTC/GMT +8 hours)

11. Filter Records with Labor Hours > 20000

Write a Pandas program to import given excel data (coalpublic2013.xlsx) into a dataframe and find details where 'Labor Hours' > 20000. Go to Excel data

Sample Solution:

Python Code :

import pandas as pd
import numpy as np
df = pd.read_excel('E:\coalpublic2013.xlsx')    
df[df["Labor_Hours"] > 20000].head()

Sample Output:

   Year  MSHA ID                       Mine_Name  Production  Labor_Hours
0  2013   103381            Tacoa Highwall Miner       56004        22392
1  2013   103404                Reid School Mine       28807        28447
2  2013   100759  North River #1 Underground Min     1440115       474784
3  2013   103246                      Bear Creek       87587        29193
4  2013   103451                     Knight Mine      147499        46393

Excel Data:

coalpublic2013.xlsx:

For more Practice: Solve these Related Problems:

Write a Pandas program to import coalpublic2013.xlsx and filter rows where "Labor Hours" exceed 20000.
Write a Pandas program to display records from the Excel data that satisfy the condition Labor Hours > 20000.
Write a Pandas program to use conditional selection to extract rows with "Labor Hours" greater than 20000.
Write a Pandas program to filter and print the details of mines with Labor Hours above 20000 from the DataFrame.

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