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How can I format datetime with na in python 3 pandas

Download this code from https://codegive.com Certainly! Formatting datetime with 'NaT' (Not a Time) in Python 3 using the Pandas library involves handling missing or undefined values in your datetime columns. The 'NaT' value is the equivalent of 'NaN' for datetime data in Pandas. Let's go through a step-by-step tutorial with code examples: Before formatting, let's check for 'NaT' values in the datetime column: Now, let's format the datetime column, replacing 'NaT' values with a specific format. In this example, we'll use the '%Y-%m-%d' format: To handle 'NaT' values, you can use the fillna method to replace them with a custom string or any other value you prefer: Now, let's display the DataFrame after formatting: Here's the full code: This tutorial covers the basics of formatting datetime in a Pandas DataFrame, handling 'NaT' values, and customizing the format according to your needs. Adjust the code as per your specific requirements. ChatGPT