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Revise weather df from era5 #66

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@uvchik uvchik commented Jun 18, 2021

Revise the functions weather_df_from_era5() and some connected functions:

  • add function extract_coordinates_from_era5(filename) to get a 'GeoSeries` with all coordinates of the era5-netCDF-file (5aa50ea)
  • If only one point was found within a polygon an error was raised -> fixed (c737488)
  • If no point was found in some cases an error was raised -> fixed (ea93026)
  • A parameter was added to decide whether the levels with the coordinates were dropped or not (792883a)
  • Add tests for the era5.py module
  • Add coordinates as index name if levels are dropped (6e5c70b) e.g. print(df.index.name) -> (12.3, 53.2)
  • If one Point is passed as a shapely.geometry the nearest point is used instead of within as it was before.

The last point does not work, so I added a failing test. See code comment below. -->fixed

One parameter in the function is called area but it can be a point, so I would like to rename it to geometry or filter or...

@uvchik uvchik added this to the v0.1.0 milestone Jun 18, 2021
@uvchik uvchik self-assigned this Jun 18, 2021
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uvchik commented Jun 21, 2021

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.

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.

`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.

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 "
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..if there is more...

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