Created
June 7, 2022 23:20
-
-
Save mikekeith52/9ad4f64580b217e44deb0b9378b9a2a2 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| pd.options.display.max_rows = None | |
| all_xvars = f.get_regressor_names() | |
| final_dropped = pd.DataFrame({"Var": all_xvars}) | |
| for i, v in f.export("model_summaries").iterrows(): | |
| model = v["ModelNickname"] | |
| Xvars = v["Xvars"] | |
| dropped_vars = [x for x in f.get_regressor_names() if x not in Xvars] | |
| if not dropped_vars: | |
| continue | |
| tmp_dropped = pd.DataFrame( | |
| {"Var": dropped_vars, f"dropped in {model}": [1] * len(dropped_vars)} | |
| ) | |
| final_dropped = final_dropped.merge(tmp_dropped, on="Var", how="left").fillna(0) | |
| final_dropped["total times dropped"] = final_dropped.iloc[:, 1:].sum(axis=1) | |
| final_dropped = final_dropped.loc[final_dropped["total times dropped"] > 0] | |
| final_dropped = final_dropped.sort_values("total times dropped", ascending=False) | |
| final_dropped = final_dropped.reset_index(drop=True) | |
| final_dropped.iloc[:, 1:] = final_dropped.iloc[:, 1:].astype(int) | |
| final_dropped |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment