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| from pathlib import Path | |
| import pandas as pd | |
| MISSING_ENRICHED = Path(__file__).parent.parent / "data" / "missing_enriched.csv" | |
| CITIES_ENRICHED = Path(__file__).parent.parent / "data" / "cities_enriched_final.csv" | |
| CITIES_ENRICHED_MANUALLY = ( | |
| Path(__file__).parent.parent / "data" / "cities_enriched_manually.csv" | |
| ) | |
| def merge_missing_coord(df, missing): | |
| for row in df.itertuples(): | |
| if row.Kommune in missing["Kommune"].values: | |
| new_geo = missing[missing["Kommune"] == row.Kommune].iloc[0].Geometry | |
| df.at[row.Index, "Geometry"] = new_geo | |
| return df | |
| cities = pd.read_csv(CITIES_ENRICHED) | |
| if "_1" in cities.columns: | |
| cities.drop(columns=["_1"], inplace=True) | |
| cities_final = merge_missing_coord( | |
| pd.read_csv(CITIES_ENRICHED), pd.read_csv(MISSING_ENRICHED) | |
| ) | |
| cities_final.to_csv(CITIES_ENRICHED_MANUALLY, index=False) | |
| still_missing = cities_final[ | |
| cities_final["Geometry"].apply(lambda x: (x == "[]") or x is None) | |
| ] | |
| print( | |
| f"There are still missing {len(still_missing)} coordinates. The rows are: {still_missing}" | |
| ) | |
| print(cities_final.info()) | |