An upgrade needs a compatibility check, a tested release and a recovery path. Which changes deserve particular attention before the new version reaches production?

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Tasadduq BurneyownerOwner · Founder

26525 reputation · 31 Jan 2021, 00:38 UTC

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Review dtype, indexing and copy behavior changes in release notes. Compare outputs on representative fixtures, including nulls, time zones and duplicate keys. A pipeline that still runs may have changed semantics, so validate results rather than relying only on the absence of exceptions.

How should I approach a pandas upgrade?

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