ca78010feee2c809ac08efbf0417a057206deb18,scanpy/get.py,,obs_df,#,67

Before Change

        df[k] = adata.obs_vector(l, layer=layer)
    for k, idx in obsm_keys:
        added_k = f"{k}-{idx}"
        if isinstance(adata.obsm[k], (np.ndarray, sparse.csr_matrix)):
            df[added_k] = np.ravel(adata.obsm[k][:, idx])
        elif isinstance(adata.obsm[k], pd.DataFrame):
            df[added_k] = adata.obsm[k].loc[:, idx]

After Change

        val = adata.obsm[k]
        if isinstance(val, np.ndarray):
            df[added_k] = np.ravel(val[:, idx])
        elif isinstance(val, spmatrix):
            df[added_k] = np.ravel(val[:, idx].toarray())
        elif isinstance(val, pd.DataFrame):
            df[added_k] = val.loc[:, idx]
    return df


def var_df(

Instances