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@Ahrli Part of the performance issue with this package is that it uses SqLite as a backend, which means that you're essentially not using one of the main benefits of pandas, which is in memory computation. As a solution to this problem, a few months back I created a package called dataframe_sql, which solves this problem by parsing the sql and translating it to native pandas operations. Hope this helps!
An error is reported when df exceeds 3000 fields
How to solve?
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