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Creating a Value List Based on a DateTimeIndex in Pandas

Learn how to generate a list of values based on a specific DateTimeIndex range in Pandas, avoiding explicit loops for better performance. --- This video is based on the question https://stackoverflow.com/q/67417641/ asked by the user 'mylearning' ( https://stackoverflow.com/u/15443852/ ) and on the answer https://stackoverflow.com/a/67417719/ provided by the user 'perl' ( https://stackoverflow.com/u/6792743/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Create a list which values based on existing DateTimeIndex Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Creating a Value List Based on a DateTimeIndex in Pandas When working with time series data in Pandas, you often need to evaluate conditions over date and time. For instance, let’s say you have a DateTimeIndex and you want to create a list of values based on whether specific timestamps fall within a certain range. This task is common yet can be confusing if you're not familiar with handling DateTimeIndex. In this blog, we’ll break down how to achieve this in an efficient way. Understanding the Problem Consider a scenario where you have a DateTimeIndex obtained from an existing DataFrame, and you want to create a list that indicates whether specific times fall within defined time frames. Example Requirement You want your output list to look something like this, where: The value is 1 if the timestamp is within a certain range. The value is 0 if it's outside that range. Here's an example output for a timestamp range from '2020-06-25 11:53:05' to '2020-06-25 12:23:05': [[See Video to Reveal this Text or Code Snippet]] Steps to Create the Value List Step 1: Create a Sample DateTimeIndex In order to demonstrate, let’s first create a sample DateTimeIndex: [[See Video to Reveal this Text or Code Snippet]] Step 2: Define Your Time Range Next, define the time ranges you want to check against: [[See Video to Reveal this Text or Code Snippet]] Step 3: Check Between Ranges Instead of using explicit loops, you can take advantage of vectorized operations in Pandas. Use boolean indexing to check if the DateTimeIndex values fall between your defined ranges: [[See Video to Reveal this Text or Code Snippet]] Step 4: Convert to Integers Finally, convert the boolean values to integers, where True becomes 1 and False becomes 0: [[See Video to Reveal this Text or Code Snippet]] Conclusion By following these steps, you can efficiently create a list of values based on conditions applied to a DateTimeIndex in Pandas. Remember to utilize vectorized operations instead of loops where possible, as they significantly enhance performance. If you're new to Pandas or working with time series data, practice these operations to get more comfortable! Happy coding! If you have any questions or need further clarification, feel free to ask in the comments section below!