Draft: Improve hdf5Reader with random sampling and type handling#50
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varunviswapriyan wants to merge 13 commits into
Open
Draft: Improve hdf5Reader with random sampling and type handling#50varunviswapriyan wants to merge 13 commits into
varunviswapriyan wants to merge 13 commits into
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Enhanced the hdf5Reader class to include random sampling of rows while reading HDF5 files. Improved handling of numpy types and added error handling for various data processing steps.
jeanbez
changed the title
Refactor completeness function to process DataFrame in chunks, calculate completeness scores, and generate a visualization. Added error handling for file reading and completeness calculation.
Removed unused constants for maximum rows.
Removed docstring explaining the outliers function.
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Enhanced the hdf5Reader class to include random sampling of rows while reading HDF5 files. Improved handling of numpy types and added error handling for various data processing steps. Also introduced chunked reading, multidimensional flattening, and structured type handling.
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Description
Include a brief summary of the proposed changes.
Random sampling of 2000 rows in the HDF5 reader and chunked reading better supports massive datasets. Code also expanded structured NumPy types into python dictionaries, properly flattened multidimensional datasets, and handled 1D arrays more efficiently.
What changes are proposed in this pull request?
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