Wow, thanks for all the suggestions, everyone! I tried the pandas + `json_normalize()` approach, and it worked perfectly for my dataset. The nested JSON was giving me a headache, but flattening it first made all the difference.
I’m curious about the `jq` tool though—anyone have a quick example of how to use it with pandas? Also, big shoutout to the custom flattening function; I’ll definitely keep that in my toolkit for messier JSON.
You all just saved me hours of frustration. Cheers! 🎉
I’m curious about the `jq` tool though—anyone have a quick example of how to use it with pandas? Also, big shoutout to the custom flattening function; I’ll definitely keep that in my toolkit for messier JSON.
You all just saved me hours of frustration. Cheers! 🎉