How to Pause CMD Window After Using subprocess.Popen in Python скачать в хорошем качестве

How to Pause CMD Window After Using subprocess.Popen in Python

Learn how to keep the CMD window open after executing subprocesses in Python so you can view the output without it disappearing. --- This video is based on the question https://stackoverflow.com/q/71620515/ asked by the user 'D4w1d' ( https://stackoverflow.com/u/16431938/ ) and on the answer https://stackoverflow.com/a/71621659/ provided by the user 'martineau' ( https://stackoverflow.com/u/355230/ ) 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: How to pause cmd window after using subprocess.Popen function 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. --- How to Pause CMD Window After Using subprocess.Popen in Python If you're using Python's subprocess.Popen to run multiple commands simultaneously, you might have encountered a common issue: the CMD window opens but closes almost instantly, making it impossible to see any output or feedback from the executed scripts. In this guide, we will explore a practical solution to keep the CMD window open until you're ready to close it. This allows you to visualize the output of your subprocesses without the frustration of missing key information. Read on for a step-by-step guide to implementing this solution through batch files. The Problem When you run subprocesses via Popen, especially with the creationflags=CREATE_NEW_CONSOLE option, a new CMD window will be spawned. However, as soon as the command completes, the window may close immediately, leaving you with no visible output. To address this, we need a way to ensure the CMD window remains open until you manually close it (or hit a key). The Solution: Creating a Batch File Overview The solution involves creating temporary batch files that execute your Python scripts while including a pause command at the end. This way, after the script finishes executing, the window will wait for you to press a key before closing. Below, we will break down the implementation details step by step. Step-by-step Implementation Here’s how to create and use a batch file with a pause command. Step 1: Import Required Libraries We will use the following libraries in our code: [[See Video to Reveal this Text or Code Snippet]] Step 2: Create a Batch File Function To manage the subprocesses, we define a function called create_batchfile. This function creates a temporary batch file that executes a specified Python script and appends a pause command. Here’s how it’s structured: [[See Video to Reveal this Text or Code Snippet]] Step 3: Clean Up Temp Files To avoid littering your file system with temporary files, we also define a cleanup function that deletes the created batch files once they are no longer needed: [[See Video to Reveal this Text or Code Snippet]] Step 4: Execute Your Subprocesses In your main code, we'll set up a loop to execute multiple subprocesses, creating a separate batch file for each. Here's how the logic works: [[See Video to Reveal this Text or Code Snippet]] Conclusion With this setup, every time you run your Python script with subprocess.Popen, it will now create a CMD window that stays open until you press a key. This is a simple yet effective way to manage and view outputs from multiple subprocesses without the fear of missing important information. By leveraging temporary batch files, you've taken a significant step toward better control over your command line operations in Python. Now you can manage subprocesses smoothly and keep your workflow efficient. Happy coding!