Скачать или смотреть How to Convert HH:MM:SS AM/PM Format to Seconds in Python Using Pandas

Learn how to efficiently convert time in `HH:MM:SS AM/PM` format to seconds using Python's Pandas library, overcoming common issues with date handling.
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This video is based on the question https://stackoverflow.com/q/67382841/ asked by the user 'Srikanth Ayithy' ( https://stackoverflow.com/u/10031645/ ) and on the answer https://stackoverflow.com/a/67382920/ provided by the user 'FObersteiner' ( https://stackoverflow.com/u/10197418/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Converting HH:MM:SS AM/PM to Seconds in Python

When working with time data in Python, it’s common to face challenges especially when transitioning between formats. One frequent task that data analysts and developers encounter is converting time from an HH:MM:SS AM/PM format to total seconds for easier computations and analysis. In this guide, we’ll explore how to effectively perform this conversion using the Pandas library in Python.

The Problem

You may have a DataFrame in Pandas that contains a column of time strings formatted as HH:MM:SS AM/PM. For example, your data might look like this:

[[See Video to Reveal this Text or Code Snippet]]

The task is to convert the time_col into a column of total seconds. However, users often face issues where some rows prepend a date when converting these time strings, causing errors in the results. But don’t worry! We’ll break down how to tackle this obstacle systematically.

Understanding the Solution

To convert the HH:MM:SS AM/PM formatted time to seconds, we can use the following steps:

Step 1: Convert Time String to Datetime

First, we need to make sure that our time strings are correctly interpreted as time objects. This allows us to properly handle the AM/PM notation.

Step 2: Extract Just the Time

After converting to datetime, we will extract only the time component, stripping off any unwanted date information.

Step 3: Convert to Timedelta and Extract Seconds

Finally, we can convert the time into a timedelta object, which enables us to extract the total number of seconds for each entry.

Here’s how you can accomplish this in code:

[[See Video to Reveal this Text or Code Snippet]]

Expected Output

After running the above code, your output will display the total seconds as follows:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

Converting time from HH:MM:SS AM/PM to seconds in Python is straightforward once you understand how to properly handle the data types within Pandas. By following the steps outlined above—converting to datetime, extracting just the time, and then using timedelta—you can efficiently accomplish this task without running into issues related to unwanted date information.

Remember that mastering these conversions can greatly enhance your data manipulation skills, allowing for easier analysis and computation of time-based datasets!

If you have any further questions or need clarification on any point, feel free to ask!