5aaa63d7ecf85d341fec9b758d17f2bf4cde6042,src/pudl/transform/ferc1.py,FERCPlantClassifier,predict,#FERCPlantClassifier#Any#Any#,1292

Before Change

                // Stack the new list of record_ids on our output DataFrame:
                new_grp = pd.DataFrame(new_grp, columns=self._years)

                out_df = pd.concat([out_df, new_grp])

                // Save the seed record_id for use in indexing the output:
                out_idx = out_idx + [self._best_of.loc[idx, "record_id"]]

        out_df["seed_id"] = out_idx
        out_df = out_df.set_index("seed_id")
        out_df = out_df.fillna("")
        return out_df

    def score(self, X, y=None):  // noqa: N803
        Scores a collection of FERC plant categorizations.

After Change

                new_grp = tmp_best.loc[b_m, "record_id"]

                // Stack the new list of record_ids on our output DataFrame:
                out_df = out_df.append(
                    pd.DataFrame(
                        data=new_grp.values.reshape(1, len(self._years)),
                        index=pd.Index(
                            [tmp_best.loc[idx, "record_id"]],
                            name="seed_id"),
                        columns=self._years))
        return out_df

    def score(self, X, y=None):  // noqa: N803
        Scores a collection of FERC plant categorizations.

Instances