Updated module for handling large datsets #79
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tried chunking the dataset but the it was getting complex therefore used dask dataframe for better memory efficiency for loading and handling large datasets
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Actually i added this function in the original module , but since then significant changes have been made such as methods like .analyse which got inlcuded when i pulled origin before commiting , after changes were made to repo i think the module itself is not working , if you want can send you test.py to test my method , because currently the module itself is not working for me |
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yes @DarshAgrawal14, I can see merge conflicts. please do a git pull and have your code changes there |
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@ombhojane i have resolved the issue , the PR is ready to merge |
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@ombhojane , If you require any changes please let me know.. |
ombhojane
added
enhancement
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Fixed Issue : #2
I initially started with chunking approach divided the dataset into chunks but due creation of chunks the class was becoming complex and slow
Therefore i used Dask.dataframes instead of pandas this increases memory efficiency and can handle any dataset without hindering with other functions
Darsh Agrawal , GSSoC 24 extd contributor