issues: 869180122

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
869180122 MDU6SXNzdWU4NjkxODAxMjI= 5225 python3.9 dask/array/slicing.py in slice_wrap_lists Don't yet support nd fancy indexing 34353851 closed 0     5 2021-04-27T19:12:48Z 2021-04-28T09:31:22Z 2021-04-28T09:08:48Z NONE      

The code in the line 411, returns Don't yet support nd fancy indexing from dask. https://github.com/JavierRuano/ASI_Steady/blob/main/ASI_Datase_RACKt.py#L411

that was working well with python3.7 .

ASI_Datase_RACKt.py in refresh_Graphics saveFile = self.xarray[indices_maps[str(self.typi)]].where(self.xarray.mask == 1).where( … ▼ Local vars Variable Value NETCDF_FILES_FOLDER '/var/www/stream/stream/data/' end '2020-11-02' indices_maps
{'horton': 'ASI_Horton_2012', 'huang': 'ASI_Huang_2018', 'wang': 'ASI_Wang_2017'} lat_dos 48.75 lat_uno 48.0 lng_dos -5.75 lng_uno -5.0 self
<polls.ASI_Datase_RACKt.ASI object at 0x7f585899e1f0> start
'2020-11-01' /usr/local/lib/python3.9/dist-packages/xarray/core/common.py in where self = self.isel(**indexers) … ▼ Local vars Variable Value DataArray
<class 'xarray.core.dataarray.DataArray'> Dataset <class 'xarray.core.dataset.Dataset'> align
<function align at 0x7f5878522af0> clipcond
<xarray.DataArray (latitude: 68, longitude: 81)> array([[False, False, False, ..., False, False, False], [False, False, False, ..., False, False, False], [False, False, False, ..., False, False, False], ..., [False, False, False, ..., False, False, False], [False, False, False, ..., False, False, False], [False, False, False, ..., False, False, False]]) Coordinates: * latitude (latitude) float32 75.0 74.25 73.5 72.75 ... 26.25 25.5 24.75 * longitude (longitude) float32 -20.0 -19.25 -18.5 -17.75 ... 38.5 39.25 40.0 cond
<xarray.DataArray (latitude: 68, longitude: 81)> array([[False, False, False, ..., False, False, False], [False, False, False, ..., False, False, False], [False, False, False, ..., False, False, False], ..., [False, False, False, ..., False, False, False], [False, False, False, ..., False, False, False], [False, False, False, ..., False, False, False]]) Coordinates: * latitude (latitude) float32 75.0 74.25 73.5 72.75 ... 26.25 25.5 24.75 * longitude (longitude) float32 -20.0 -19.25 -18.5 -17.75 ... 38.5 39.25 40.0 drop
True indexers
{'latitude': array([], dtype=int64), 'longitude': array([], dtype=int64)} nonzeros
<zip object at 0x7f584bfc08c0> other
<NA> self
<xarray.DataArray 'ASI_Horton_2012' (time: 15310, latitude: 68, longitude: 81)> dask.array<copy, shape=(15310, 68, 81), dtype=float64, chunksize=(15310, 68, 81), chunktype=numpy.ndarray> Coordinates: * time (time) datetime64[ns] 1979-01-01T12:00:00 ... 2020-11-30T12:00:00 * latitude (latitude) float32 75.0 74.25 73.5 72.75 ... 26.25 25.5 24.75 * longitude (longitude) float32 -20.0 -19.25 -18.5 -17.75 ... 38.5 39.25 40.0 mask (latitude, longitude) float64 1.0 2.0 2.0 2.0 ... 1.0 1.0 1.0 1.0 Attributes: long_name: air_stagnation_index /usr/local/lib/python3.9/dist-packages/xarray/core/dataarray.py in isel variable = self._variable.isel(indexers, missing_dims=missing_dims) … ▼ Local vars Variable Value drop
False indexers
{'latitude': array([], dtype=int64), 'longitude': array([], dtype=int64)} indexers_kwargs {'latitude': array([], dtype=int64), 'longitude': array([], dtype=int64)} missing_dims
'raise' self
<xarray.DataArray 'ASI_Horton_2012' (time: 15310, latitude: 68, longitude: 81)> dask.array<copy, shape=(15310, 68, 81), dtype=float64, chunksize=(15310, 68, 81), chunktype=numpy.ndarray> Coordinates: * time (time) datetime64[ns] 1979-01-01T12:00:00 ... 2020-11-30T12:00:00 * latitude (latitude) float32 75.0 74.25 73.5 72.75 ... 26.25 25.5 24.75 * longitude (longitude) float32 -20.0 -19.25 -18.5 -17.75 ... 38.5 39.25 40.0 mask (latitude, longitude) float64 1.0 2.0 2.0 2.0 ... 1.0 1.0 1.0 1.0 Attributes: long_name: air_stagnation_index /usr/local/lib/python3.9/dist-packages/xarray/core/variable.py in isel return self[key] … ▼ Local vars Variable Value indexers
{'latitude': array([], dtype=int64), 'longitude': array([], dtype=int64)} indexers_kwargs {} key (slice(None, None, None), array([], dtype=int64), array([], dtype=int64)) missing_dims
'raise' self
<xarray.Variable (time: 15310, latitude: 68, longitude: 81)> dask.array<copy, shape=(15310, 68, 81), dtype=float64, chunksize=(15310, 68, 81), chunktype=numpy.ndarray> Attributes: long_name: air_stagnation_index /usr/local/lib/python3.9/dist-packages/xarray/core/variable.py in getitem data = as_indexable(self._data)[indexer] … ▼ Local vars Variable Value dims
('time', 'latitude', 'longitude') indexer OuterIndexer((slice(None, None, None), array([], dtype=int64), array([], dtype=int64))) key (slice(None, None, None), array([], dtype=int64), array([], dtype=int64)) new_order
None self
<xarray.Variable (time: 15310, latitude: 68, longitude: 81)> dask.array<copy, shape=(15310, 68, 81), dtype=float64, chunksize=(15310, 68, 81), chunktype=numpy.ndarray> Attributes: long_name: air_stagnation_index /usr/local/lib/python3.9/dist-packages/xarray/core/indexing.py in getitem return array[key] … ▼ Local vars Variable Value array
dask.array<copy, shape=(15310, 68, 81), dtype=float64, chunksize=(15310, 68, 81), chunktype=numpy.ndarray> key (array([[[ 0]],

   [[    1]],

   [[    2]],

   ...,

   [[15307]],

   [[15308]],

   [[15309]]]),

array([], shape=(1, 0, 1), dtype=int64), array([], shape=(1, 1, 0), dtype=int64)) self
NdArrayLikeIndexingAdapter(array=dask.array<copy, shape=(15310, 68, 81), dtype=float64, chunksize=(15310, 68, 81), chunktype=numpy.ndarray>) /usr/local/lib/python3.9/dist-packages/dask/array/core.py in getitem dsk, chunks = slice_array(out, self.name, self.chunks, index2, self.itemsize) … ▼ Local vars Variable Value dependencies
{'copy-60d43625606b762db38f4c336bfabf09'} i
array([], shape=(1, 1, 0), dtype=int64) index
(array([[[ 0]],

   [[    1]],

   [[    2]],

   ...,

   [[15307]],

   [[15308]],

   [[15309]]]),

array([], shape=(1, 0, 1), dtype=int64), array([], shape=(1, 1, 0), dtype=int64)) index2
(array([[[ 0]],

   [[    1]],

   [[    2]],

   ...,

   [[15307]],

   [[15308]],

   [[15309]]]),

array([], shape=(1, 0, 1), dtype=int64), array([], shape=(1, 1, 0), dtype=int64)) normalize_index <function normalize_index at 0x7f585a1b7940> out 'getitem-33275cee9730d05017ed841f8e82e286' self
dask.array<copy, shape=(15310, 68, 81), dtype=float64, chunksize=(15310, 68, 81), chunktype=numpy.ndarray> slice_with_bool_dask_array
<function slice_with_bool_dask_array at 0x7f585a1b7b80> slice_with_int_dask_array
<function slice_with_int_dask_array at 0x7f585a1b7a60> /usr/local/lib/python3.9/dist-packages/dask/array/slicing.py in slice_array dsk_out, bd_out = slice_with_newaxes(out_name, in_name, blockdims, index, itemsize) … ▼ Local vars Variable Value blockdims
((15310,), (68,), (81,)) in_name 'copy-60d43625606b762db38f4c336bfabf09' index
(array([[[ 0]],

   [[    1]],

   [[    2]],

   ...,

   [[15307]],

   [[15308]],

   [[15309]]]),

array([], shape=(1, 0, 1), dtype=int64), array([], shape=(1, 1, 0), dtype=int64)) itemsize
8 missing 0 not_none_count
3 out_name
'getitem-33275cee9730d05017ed841f8e82e286' /usr/local/lib/python3.9/dist-packages/dask/array/slicing.py in slice_with_newaxes dsk, blockdims2 = slice_wrap_lists(out_name, in_name, blockdims, index2, itemsize) … ▼ Local vars Variable Value blockdims
((15310,), (68,), (81,)) in_name 'copy-60d43625606b762db38f4c336bfabf09' index
(array([[[ 0]],

   [[    1]],

   [[    2]],

   ...,

   [[15307]],

   [[15308]],

   [[15309]]]),

array([], shape=(1, 0, 1), dtype=int64), array([], shape=(1, 1, 0), dtype=int64)) index2
(array([[[ 0]],

   [[    1]],

   [[    2]],

   ...,

   [[15307]],

   [[15308]],

   [[15309]]]),

array([], shape=(1, 0, 1), dtype=int64), array([], shape=(1, 1, 0), dtype=int64)) itemsize
8 out_name
'getitem-33275cee9730d05017ed841f8e82e286' where_none
[] where_none_orig [] /usr/local/lib/python3.9/dist-packages/dask/array/slicing.py in slice_wrap_lists raise NotImplementedError("Don't yet support nd fancy indexing") … ▼ Local vars Variable Value blockdims
((15310,), (68,), (81,)) in_name 'copy-60d43625606b762db38f4c336bfabf09' index
(array([[[ 0]],

   [[    1]],

   [[    2]],

   ...,

   [[15307]],

   [[15308]],

   [[15309]]]),

array([], shape=(1, 0, 1), dtype=int64), array([], shape=(1, 1, 0), dtype=int64)) itemsize
8 out_name
'getitem-33275cee9730d05017ed841f8e82e286' where_list
[0, 1, 2]

 
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   completed 13221727 issue

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