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

Pandas: Excel Exercise-11 with Solution

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:


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Python: Tips of the Day

Find current directory and file's directory:

To get the full path to the directory a Python file is contained in, write this in that file:

import os 
dir_path = os.path.dirname(os.path.realpath(__file__))

(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)

To get the current working directory use

import os
cwd = os.getcwd()

Documentation references for the modules, constants and functions used above:

  • The os and os.path modules.
  • The __file__ constant
  • os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
  • os.path.dirname(path) (returns "the directory name of pathname path")
  • os.getcwd() (returns "a string representing the current working directory")
  • os.chdir(path) ("change the current working directory to path")

Ref: https://bit.ly/3fy0R6m