Python - How to Update Multiple Columns in Dataframe
In this tutorial, you will learn "How to Update 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.
Python - How to Add Multiple Columns in Dataframe
• Python - How to Add Multiple Columns ...
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.
A pd.Series in pandas is a one-dimensional labeled data structure that can hold various types of data, such as integers, floats, strings, and other Python objects.
Indexing: Each element in a pd.Series has a unique identifier called an index. You can think of a pd.Series as a column in a spreadsheet or a single column of a database table.
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