![]() It will not only show me the Python code it writes as it processes my instructions, but it can also graph data for me as well using the Matplotlib library in Python. What’s even nicer is the recent addition of the Advanced Data Analysis plugin (formerly known as “Code Interpreter'') on GPT-4. With AI and its Natural Language Model I can ask questions in plain English about my data and get the results I’m looking for. I decided, however, what I really wanted was an assistant who I could ask a series of questions to and get back the data I was looking for. Naturally, like most engineers, I could have used spreadsheets with fancy tables, charts, and some Excel formula magic to find the data that I was looking for. ![]() The output data I grabbed from my test script was in CSV format so it was a breeze to import into Microsoft Excel. I recently ran some tests to profile a smart battery and wanted to see how accurate some of the reporting registers In this article we’re going to look at how to do just that with fresh test data from my recent battery tests. Using ChatGPT for data analysis can be simple and streamlined. Now that you’re familiar with automating your test scripts it’s time to automate processing your test data as well. In Using ChatGPT for Automated Testing, we talked about easy ways to get Generative AI to write test scripts and software libraries, making it simple to communicate with your test equipment. ![]()
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