| Conditions | 1 |
| Total Lines | 27 |
| Code Lines | 3 |
| Lines | 0 |
| Ratio | 0 % |
| Changes | 0 | ||
| 1 | """Create a basic scenario from the internal data structure. |
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| 12 | def scenario_storages(regions, year, name): |
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| 13 | """ |
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| 14 | Fetch storage, pump and turbine capacity and their efficiency of |
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| 15 | hydroelectric storages for each deflex region. |
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| 16 | |||
| 17 | Parameters |
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| 18 | ---------- |
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| 19 | regions |
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| 20 | year |
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| 21 | name |
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| 22 | |||
| 23 | Returns |
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| 24 | ------- |
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| 25 | |||
| 26 | Examples |
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| 27 | -------- |
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| 28 | >>> regions=geometries.deflex_regions(rmap="de17") |
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| 29 | >>> deflex_storages=scenario_storages(regions, 2012, "de17") |
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| 30 | >>> list(deflex_storages.index.get_level_values(0)) |
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| 31 | ['DE01', 'DE03', 'DE05', 'DE06', 'DE08', 'DE09', 'DE14', 'DE15', 'DE16'] |
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| 32 | >>> int(deflex_storages.loc[("DE03", "phes"), "turbine"]) |
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| 33 | 220 |
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| 34 | >>> int(deflex_storages.loc[("DE16", "phes"), "energy"]) |
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| 35 | 12115 |
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| 36 | """ |
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| 37 | stor = storages.pumped_hydroelectric_storage_by_region(regions, year, name) |
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| 38 | return pd.concat([stor], keys=["phes"]).swaplevel(0, 1) |
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| 39 |