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I have searched the [pandas] tag on StackOverflow for similar questions.
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I have asked my usage related question on StackOverflow.
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I'm working with a Pandas DataFrame and need to insert data into a SQL database. I'm using pandas.to_sql to accomplish this, but I am a bit confused about whether this method can be classified as an ORM tool or not.
From my understanding, ORMs like SQLAlchemy handle not only data insertion but also allow you to interact with the database tables as Python objects, providing features like lazy loading, data relationships, and change tracking.
Can anyone clarify if pandas.to_sql fits the definition of an ORM, or is it simply a convenience function for inserting data?
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Needs TriageIssue that has not been reviewed by a pandas team memberIssue that has not been reviewed by a pandas team memberUsage Question