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Currently memory usage is defined by longest identifier due to use of numpy for identifier storage, which can create a large overhead if one header is longer than others - but numpy functionality not that relevant on identifiers
Ideally, replace with pd.Series to keep slicing functionality while making use of better string memory management of pandas
Currently memory usage is defined by longest identifier due to use of numpy for identifier storage, which can create a large overhead if one header is longer than others - but numpy functionality not that relevant on identifiers
Ideally, replace with pd.Series to keep slicing functionality while making use of better string memory management of pandas
@aaronkollasch
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