DEV Community

Cover image for 10 Pandas One Liners in Python for Data Manipulation
Sona
Sona

Posted on

10 Pandas One Liners in Python for Data Manipulation

In the world of data manipulation and management, Pandas is like a magic weapon that can make your complex tasks simple. With just a single line of code, you can achieve powerful operations on your data.

Codemagnet is here with 10 Pandas one-liners will show you how to effortlessly manipulate your data, making your life as a data scientist or analyst much easier. Before i start let me show you a teaser

For example, imagine you have a dataset with information about sales transactions. Using a Pandas one-liner, you can quickly calculate the total sales amount for each product:

total_sales_per_product = df.groupby('Product')['Sales'].sum()
Enter fullscreen mode Exit fullscreen mode

In this one-liner, df is your DataFrame containing the sales data. groupby(‘Product’) groups the data by the ‘Product’ column, and [‘Sales’].sum() calculates the total sales amount for each product. This simple yet powerful operation can give you valuable insights into your sales data.

Now, let us check out the one liners

Read More Here

Top comments (0)