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by halflings
3293 days ago
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pandas is often used for one-off reports, where backwards compatibility is not as important.
Production software relying on the API could always depend on previous versions if a new version brings a significantly improved API. I'm a regular user of pandas, would definitely say it's my favorite Python library by far... but it is very hard to do certain operations with it (as the OP said, anything involving multiple indexes, and things like plotting multiple plots after a groupby, etc.) |
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