7、在上面的帖子中,介绍了如何提取某一层的要素,那么我们在实际过程中,还会遇到画垂直剖面时,需要提取某一要素的所有层次资料, 经过摸索找到问题,直接把代码贴上来 大家自行调试吧。 ds = xr.open_dataset("E:/data/fnl_20190526_12_00.grib2",engine='cfgrib', backend_kwargs={'filter_by_keys':{'typeOf...
What happened: When loading a HRRR GRIBv2 file in this manner: ds = xr.open_dataset(gribfile_path,engine='cfgrib',backend_kwargs={'filter_by_keys':{'typeOfLevel':'hybrid'}}) I have trouble using the .where() method when drop=True. If I s...
ds=xr.open_dataset(f,engine='cfgrib',backend_kwargs={'filter_by_keys':{'typeOfLevel':'heightAboveGround','topLevel':10}}) <xarray.Dataset> Dimensions: (latitude: 145, longitude: 288) Coordinates: number int64 ... time datetime64[ns] ... step timedelta64[ns] ... heightAboveGround flo...
backend_kwargs['filter_by_keys'] = tuple(backend_kwargs.get('filter_by_keys', {}).items()) Member shoyer Oct 9, 2018 This looks a little surprising to me -- can we simply pass on backend_kwargs directly to cfgrib? Collaborator Author alexamici Oct 10, 2018 • edited This is...
(index,DATA_ATTRIBUTES_KEYS,filter_by_keys)502grid_type_keys=GRID_TYPE_MAP.get(index.getone("gridType"),[])File/opt/conda/lib/python3.11/site-packages/cfgrib/dataset.py:291,inenforce_unique_attributes(index,attributes_keys,filter_by_keys)290fbks.append(fbk)-->291raiseDatasetBuildError("...
xdf = X[index].pipe(_da_to_df, feature_dim).drop(models.coords.keys()) xtrans_df = model.item().transform(xdf, **kwargs) xtrans[index] = xtrans_df.squeeze()returnxtrans 开发者ID:jhamman,项目名称:scikit-downscale,代码行数:11,代码来源:core.py ...
Apache中限制和允许特定IP访问 <Directory "/var/www"> Options All AllowOverride None Order Deny,...
{'filter_by_keys':{'typeOfLevel': 'hybrid'}}) lon = data.variables['longitude'].values lat = data.variables['latitude'].values hyb = data.variables['hybrid'].values time = pd.Timestamp(data.time.values) + pd.to_timedelta(data.step.values,'H') X = xr.Dataset( {'data':data[...
filter_by_attrs(cell_measures=attr).data_vars.keys() ) warnings.warn( emit_user_level_warning( f"Ignoring bad cell_measures attribute: {attr} on {bad_vars}.", UserWarning, stacklevel=2, ) measures = { key: self._drop_missing_variables(_get_all(self._obj, key)) for key in keys ...
受“甲方”委托，我写了一个计算T-N波作用通量水平分量的Python脚本。虽然之前我从来没有听说过“T-N...