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Consider the turo dataframes namely emp and dept given below : >» dept dept_id dept_name >>> emp emp_id emp_name hire_date dept_id 1 Rina 2001-05-01 4.0 1 Administration 1 2 Mina 20е2-07-15 1.0 1 2 Customer Service Tina 2а85-18-18 5.0 2 3 Finance 4 Dina 2007-01-03 3.0 3 4 Human Resources Nina 2028-e5-24 NaN 4 5 Sales Write a program to join these two dataframes on their indexes, but keep in mind that both dataframes have OmSE column name which, if not handled, leads to error. 234

Consider the turo dataframes namely emp and dept given below : >» dept dept_id dept_name >>> emp emp_id emp_name hire_date dept_id 1 Rina 2001-05-01 4.0 1 Administration 1 2 Mina 20е2-07-15 1.0 1 2 Customer Service Tina 2а85-18-18 5.0 2 3 Finance 4 Dina 2007-01-03 3.0 3 4 Human Resources Nina 2028-e5-24 NaN 4 5 Sales Write a program to join these two dataframes on their indexes, but keep in mind that both dataframes have OmSE column name which, if not handled, leads to error. 234

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Consider the taro dataframes namely emp and dept given below : >> dept dept_id dept_name >>> emp emp_id emp_name hire date dept_id e 1 Rina 2001-05-01 4.0 1 Administration 1 2 Mina 2002-07-15 1.0 1 2 Customer Service Tina 2005-18-18 5.0 2 3 Finance 4 Dina 2007-e1-03 3.0 3 4 Human Resources 4 5 Nina 20e8-05-24 NaN 4 5 Sales Write a program to join these two dataframes on their indexes, but keep in mind that both dataframes have a common column name which, if not handled, leads to error. 2.
Transcribed Image Text:Consider the taro dataframes namely emp and dept given below : >> dept dept_id dept_name >>> emp emp_id emp_name hire date dept_id e 1 Rina 2001-05-01 4.0 1 Administration 1 2 Mina 2002-07-15 1.0 1 2 Customer Service Tina 2005-18-18 5.0 2 3 Finance 4 Dina 2007-e1-03 3.0 3 4 Human Resources 4 5 Nina 20e8-05-24 NaN 4 5 Sales Write a program to join these two dataframes on their indexes, but keep in mind that both dataframes have a common column name which, if not handled, leads to error. 2.
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