Python - How to Add Multiple Columns in DataFrame

In this tutorial, you will learn "How to Add Multiple Columns in DataFrame" in Pandas. For this I used Python 3.12 runtime.

Pandas is a powerful and flexible open-source data analysis and data manipulation library for Python. It provides data structures and functions needed to manipulate structured data seamlessly.

Explanation: Create a Sample DataFrame: We start by creating a sample DataFrame.

Define a Function to Generate Multiple Columns: This function takes a row of the DataFrame as input and returns a pd.Series object with new columns as # SellingAmt = Quantity * SellingPrice # Profit = SalesAmount - ProductCost

Use apply to Apply the Function Row-wise: We use the apply method with axis=1 to apply the custom function to each row of the DataFrame.

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