Delete duplicates in a Pandas Dataframe based on two columns

A dataframe is a two-dimensional, size-mutable tabular data structure with labeled axes (rows and columns). It can contain duplicate entries and to delete them there are several ways. 

Let us consider the following dataset.

The dataframe contains duplicate values in column order_id and customer_id. Below are the methods to remove duplicate values from a dataframe based on two columns.

Method 1: using drop_duplicates() 

Approach:

• We will drop duplicate columns based on two columns
• Let those columns be ‘order_id’ and ‘customer_id’
• Keep the latest entry only
• Reset the index of dataframe

Below is the python code for the above approach.

Output:

Method 2: using groupby()

Approach:

• We will group rows based on two columns
• Let those columns be ‘order_id’ and ‘customer_id’
• Keep the first entry only

The python code for the above approach is given below.

Output: