(Python Example for Beginners)
Write a Pandas program to split the following datasets into groups on customer id and calculate the number of customers starting with ‘C’, the list of all products and the difference of maximum purchase amount and minimum purchase amount.
Test Data:
ord_no purch_amt ord_date customer_id salesman_id 0 70001 150.50 05-10-2012 C3001 5002 1 70009 270.65 09-10-2012 C3001 5005 2 70002 65.26 05-10-2012 D3005 5001 3 70004 110.50 08-17-2012 D3001 5003 4 70007 948.50 10-09-2012 C3005 5002 5 70005 2400.60 07-27-2012 D3001 5001 6 70008 5760.00 10-09-2012 C3005 5001 7 70010 1983.43 10-10-2012 D3001 5006 8 70003 2480.40 10-10-2012 D3005 5003 9 70012 250.45 06-17-2012 C3001 5002 10 70011 75.29 07-08-2012 D3005 5007 11 70013 3045.60 04-25-2012 D3005 5001
Sample Solution:
Python Code :
Sample Output:
Original Orders DataFrame: ord_no purch_amt ord_date customer_id salesman_id 0 70001 150.50 05-10-2012 C3001 5002 1 70009 270.65 09-10-2012 C3001 5005 2 70002 65.26 05-10-2012 D3005 5001 3 70004 110.50 08-17-2012 D3001 5003 4 70007 948.50 10-09-2012 C3005 5002 5 70005 2400.60 07-27-2012 D3001 5001 6 70008 5760.00 10-09-2012 C3005 5001 7 70010 1983.43 10-10-2012 D3001 5006 8 70003 2480.40 10-10-2012 D3005 5003 9 70012 250.45 06-17-2012 C3001 5002 10 70011 75.29 07-08-2012 D3005 5007 11 70013 3045.60 04-25-2012 D3005 5001 Number of customers starting with ‘C’, the list of all products and the difference of maximum purchase amount and minimum purchase amount: customer_id_start_C customer_id_list purchase_amt_gap salesman_id 5001 1 D3005, D3001, C3005, D3005 5694.74 5002 3 C3001, C3005, C3001 798.00 5003 0 D3001, D3005 2369.90 5005 1 C3001 0.00 5006 0 D3001 0.00 5007 0 D3005 0.00
Python Example for Beginners
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.