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Sorry, it is not good practice to remove the 3.6 support within this PR. I was just to lazy to open an extra one. If you have objections I will revert it. |
birgits
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Jul 18, 2021
| Extract all coordinates from a er5 netCDf-file and return them as a | ||
| geopandas.Series | ||
| """ | ||
| ds = xr.open_dataset(era5_netcdf_filename) |
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Is it possible to only read longitude and latitude data needed in this function? Would be good for large datasets.
birgits
reviewed
Jul 18, 2021
| `windpowerlib` and `pvlib`. | ||
| drop_coord_levels : bool | ||
| Decide whether the index levels of the coordinates will be dropped. A | ||
| ValueError is raised if there are more than one coordinates. |
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A ValueError is raised if there is more than one coordinate.
birgits
reviewed
Jul 18, 2021
| if np.size(area[0]) == 1 and np.size(area[1]) == 1: | ||
| if drop_coord_levels is True: | ||
| if len(df.groupby(level=[1, 2]).count()) > 1: | ||
| msg = ("You cannot drop the coordinate levels if there are more " |
birgits
approved these changes
Jul 18, 2021
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Revise the functions
weather_df_from_era5()and some connected functions:extract_coordinates_from_era5(filename)to get a 'GeoSeries` with all coordinates of the era5-netCDF-file (5aa50ea)shapely.geometrythenearest pointis used instead ofwithinas it was before.The last point does not work, so I added a failing test. See code comment below.-->fixedOne parameter in the function is called area but it can be a point, so I would like to rename it to
geometryorfilteror...