Pandas Inner and Outer Joins Tutorial | Python for Data Analysis | Explained using SQL

Published: 07 September 2022
on channel: Ankit Bansal

30,915

497

In this video we will learn how to perform inner, left, right and full outer joins in Python Pandas. We will understand the concept using SQL.

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script:
create table emp(
emp_id int,
emp_name varchar(20),
department_id int,
salary int,
manager_id int,
emp_age int);

insert into emp
values
(1, 'Ankit', 100,10000, 4, 39;
insert into emp
values (2, 'Mohit', 100, 15000, 5, 48);
insert into emp
values (3, 'Vikas', 100, 10000,4,37);
insert into emp
values (4, 'Rohit', 100, 5000, 2, 16);
insert into emp
values (5, 'Mudit', 200, 12000, 6,55);
insert into emp
values (6, 'Agam', 200, 12000,2, 14);
insert into emp
values (7, 'Sanjay', 200, 9000, 2,13);
insert into emp
values (8, 'Ashish', 200,5000,2,12);
insert into emp
values (9, 'Mukesh',300,6000,6,51);
insert into emp
values (10, 'Rakesh',500,7000,6,50);

#pandas #joins #python

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