openego /
eGon-data
| @@ 220-241 (lines=22) @@ | ||
| 217 | ignore_index=True, |
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| 218 | ) |
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| 219 | ||
| 220 | if 220.0 in vnom_per_country[cntr]: |
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| 221 | central_buses = pd.concat( |
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| 222 | [ |
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| 223 | central_buses, |
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| 224 | pd.DataFrame( |
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| 225 | index=[db.next_etrago_id("bus")], |
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| 226 | data={ |
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| 227 | "scn_name": scenario, |
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| 228 | "bus_id": db.next_etrago_id("bus"), |
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| 229 | "x": central_buses[ |
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| 230 | central_buses.country == cntr |
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| 231 | ].x.unique()[0], |
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| 232 | "y": central_buses[ |
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| 233 | central_buses.country == cntr |
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| 234 | ].y.unique()[0], |
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| 235 | "country": cntr, |
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| 236 | "carrier": "AC", |
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| 237 | "v_nom": 220.0, |
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| 238 | }, |
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| 239 | ), |
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| 240 | ], |
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| 241 | ignore_index=True, |
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| 242 | ) |
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| 243 | ||
| 244 | # Add geometry column |
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| @@ 196-217 (lines=22) @@ | ||
| 193 | vnom_per_country = foreign_buses.groupby("country").v_nom.unique().copy() |
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| 194 | for cntr in vnom_per_country.index: |
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| 195 | print(cntr) |
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| 196 | if 110.0 in vnom_per_country[cntr]: |
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| 197 | central_buses = pd.concat( |
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| 198 | [ |
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| 199 | central_buses, |
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| 200 | pd.DataFrame( |
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| 201 | index=[db.next_etrago_id("bus")], |
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| 202 | data={ |
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| 203 | "scn_name": scenario, |
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| 204 | "bus_id": db.next_etrago_id("bus"), |
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| 205 | "x": central_buses[ |
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| 206 | central_buses.country == cntr |
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| 207 | ].x.unique()[0], |
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| 208 | "y": central_buses[ |
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| 209 | central_buses.country == cntr |
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| 210 | ].y.unique()[0], |
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| 211 | "country": cntr, |
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| 212 | "carrier": "AC", |
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| 213 | "v_nom": 110.0, |
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| 214 | }, |
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| 215 | ), |
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| 216 | ], |
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| 217 | ignore_index=True, |
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| 218 | ) |
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| 219 | ||
| 220 | if 220.0 in vnom_per_country[cntr]: |
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