1cfe4b2736a91865a44d73ff179a52144af8a6ce,hypertools/tools/format_data.py,,format_data,#,6

Before Change

    // if there are any nans in any of the lists, use ppca
    if ppca is True:
        if np.isnan(np.vstack(x)).any():
            warnings.warn("Missing data: Inexact solution computed with PPCA (see https://github.com/allentran/pca-magic for details)")
            x = fill_missing(x)

    return x

After Change

    if contains_num and contains_text:

        // and if they have the same number of samples
        if np.unique(np.array([i.shape[0] for i, j in zip(x, dtypes)])).shape[0]==1:

            from .align import align as aligner

            // align the data
            warnings.warn("Numerical and text data with same number of "
                          "samples detected.  Aligning data to a common space.")
            x = aligner(x, align=align)

    return x

Instances