| import numpy as np | |
| import pandas as pd | |
| def result_writer(indices_list: list, result_list: list, meta: pd.DataFrame, column): | |
| flat_indices = [] | |
| for x in zip(indices_list): | |
| flat_indices.extend(x) | |
| flat_results = [] | |
| for x in zip(result_list): | |
| flat_results.extend(x) | |
| flat_indices = np.array(flat_indices) | |
| flat_results = np.array(flat_results) | |
| unique_indices, unique_indices_idx = np.unique(flat_indices, return_index=True) | |
| meta.loc[unique_indices, column[0]] = flat_results[unique_indices_idx] | |
| meta = meta.loc[unique_indices] | |
| return meta |