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Add pca_transform - #41
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Daniel15568
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Thank you for your contributions, the contributing requires checks to be passed for both polars and pandas.
Please add the checks and create a new pull request.
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This PR addresses Issue #30 by introducing "pca_transform()" to extend Percentify's existing PCA functionality.
The new function allows users to obtain PCA-transformed data directly within Percentify, complementing the existing "pca_variance()" and "loadings()" functions without requiring a separate implementation using scikit-learn.
Changes Made
• Added "pca_transform()" to "stats.py".
• Implemented support for selecting the number of principal components using "n_components".
• Included optional data standardisation and decimal precision control.
• Added support for pandas and Polars DataFrames.
• Used NumPy for PCA computations to maintain consistency with existing implementations.
Related Issue
Closes #30