w3resource

Pandas Excel: Find a list of specified customers by name


14. Find Specified Customers by Name

Write a Pandas program to import given excel data (coalpublic2013.xlsx ) into a Pandas dataframe and find a list of specified customers by name. Go to Excel data

Sample Solution:

Python Code :

import pandas as pd
import numpy as np
df = pd.read_excel('E:\coalpublic2013.xlsx')    
df.query('Mine_Name == ["Shoal Creek Mine", "Piney Woods Preparation Plant"]').head()

Sample Output:

    Year  MSHA ID                      Mine_Name  Production  Labor_Hours
8   2013   102901               Shoal Creek Mine           0        12396
9   2013   102901               Shoal Creek Mine     1453024      1237415
18  2013   102976  Piney Woods Preparation Plant           0        14828
19  2013   102976  Piney Woods Preparation Plant           0        23193	                                       

Excel Data:

coalpublic2013.xlsx:



For more Practice: Solve these Related Problems:

  • Write a Pandas program to import coalpublic2013.xlsx and filter records for a list of specified customer names.
  • Write a Pandas program to search for customer names in the DataFrame that match a given list and display the results.
  • Write a Pandas program to use the str.contains() method to filter the DataFrame for customers with specific names.
  • Write a Pandas program to retrieve and print details for customers whose names are in a provided list from the Excel data.

Go to:


Previous: Write a Pandas program to import given excel data (coalpublic2013.xlsx ) into a dataframe and find all records that include two specific MSHA ID.
Next: Write a Pandas program to import given excel data (employee.xlsx ) into a Pandas dataframe and find a list of employees where hire_date> 01-01-07.

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



Follow us on Facebook and Twitter for latest update.