issues

Table actions

1 row where state = "closed" and user = 30382331 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date), closed_at (date)

type 1

state 1

  • closed · 1 ✖

repo 1

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
469117528 MDU6SXNzdWU0NjkxMTc1Mjg= 3137 .sel method gives error with float32 values hdsingh 30382331 closed 0     8 2019-07-17T10:37:29Z 2019-08-10T22:24:27Z 2019-08-10T22:24:27Z NONE      

.sel method gives error when it is used to select float32 values however it works fine for float64 Example: ```python import xarray as xr import numpy as np

a = np.asarray([0. , 0.111, 0.222, 0.333], dtype='float32') ds = xr.Dataset(coords={'a': (['a'],a )}) ds.a.sel({'a': 0.111}) Error Traceback:python KeyError Traceback (most recent call last) ~/anaconda3/envs/check3/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance) 2656 try: -> 2657 return self._engine.get_loc(key) 2658 except KeyError:

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Float64HashTable.get_item()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Float64HashTable.get_item()

KeyError: 0.111

During handling of the above exception, another exception occurred:

KeyError Traceback (most recent call last) <ipython-input-7-b4190c1d9580> in <module> 4 a = np.asarray([0. , 0.111, 0.222, 0.333], dtype='float32') 5 ds = xr.Dataset(coords={'a': (['a'],a )}) ----> 6 ds.a.sel({'a': 0.111}) 7 ds.a.sel({'a': 0.111}, method= 'nearest')

~/anaconda3/envs/check3/lib/python3.7/site-packages/xarray/core/dataarray.py in sel(self, indexers, method, tolerance, drop, indexers_kwargs) 853 ds = self._to_temp_dataset().sel( 854 indexers=indexers, drop=drop, method=method, tolerance=tolerance, --> 855 indexers_kwargs) 856 return self._from_temp_dataset(ds) 857

~/anaconda3/envs/check3/lib/python3.7/site-packages/xarray/core/dataset.py in sel(self, indexers, method, tolerance, drop, **indexers_kwargs) 1729 indexers = either_dict_or_kwargs(indexers, indexers_kwargs, 'sel') 1730 pos_indexers, new_indexes = remap_label_indexers( -> 1731 self, indexers=indexers, method=method, tolerance=tolerance) 1732 result = self.isel(indexers=pos_indexers, drop=drop) 1733 return result._overwrite_indexes(new_indexes)

~/anaconda3/envs/check3/lib/python3.7/site-packages/xarray/core/coordinates.py in remap_label_indexers(obj, indexers, method, tolerance, **indexers_kwargs) 315 316 pos_indexers, new_indexes = indexing.remap_label_indexers( --> 317 obj, v_indexers, method=method, tolerance=tolerance 318 ) 319 # attach indexer's coordinate to pos_indexers

~/anaconda3/envs/check3/lib/python3.7/site-packages/xarray/core/indexing.py in remap_label_indexers(data_obj, indexers, method, tolerance) 250 else: 251 idxr, new_idx = convert_label_indexer(index, label, --> 252 dim, method, tolerance) 253 pos_indexers[dim] = idxr 254 if new_idx is not None:

~/anaconda3/envs/check3/lib/python3.7/site-packages/xarray/core/indexing.py in convert_label_indexer(index, label, index_name, method, tolerance) 179 indexer, new_index = index.get_loc_level(label.item(), level=0) 180 else: --> 181 indexer = get_loc(index, label.item(), method, tolerance) 182 elif label.dtype.kind == 'b': 183 indexer = label

~/anaconda3/envs/check3/lib/python3.7/site-packages/xarray/core/indexing.py in get_loc(index, label, method, tolerance) 106 def get_loc(index, label, method=None, tolerance=None): 107 kwargs = _index_method_kwargs(method, tolerance) --> 108 return index.get_loc(label, **kwargs) 109 110

~/anaconda3/envs/check3/lib/python3.7/site-packages/pandas/core/indexes/numeric.py in get_loc(self, key, method, tolerance) 434 pass 435 return super(Float64Index, self).get_loc(key, method=method, --> 436 tolerance=tolerance) 437 438 @cache_readonly

~/anaconda3/envs/check3/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance) 2657 return self._engine.get_loc(key) 2658 except KeyError: -> 2659 return self._engine.get_loc(self._maybe_cast_indexer(key)) 2660 indexer = self.get_indexer([key], method=method, tolerance=tolerance) 2661 if indexer.ndim > 1 or indexer.size > 1:

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Float64HashTable.get_item()

pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.Float64HashTable.get_item()

KeyError: 0.111 ``` xarray version: 0.12.1 numpy version: 1.16.3

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/3137/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   completed xarray 13221727 issue

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [issues] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [state] TEXT,
   [locked] INTEGER,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [comments] INTEGER,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [author_association] TEXT,
   [active_lock_reason] TEXT,
   [draft] INTEGER,
   [pull_request] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [state_reason] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [type] TEXT
);
CREATE INDEX [idx_issues_repo]
    ON [issues] ([repo]);
CREATE INDEX [idx_issues_milestone]
    ON [issues] ([milestone]);
CREATE INDEX [idx_issues_assignee]
    ON [issues] ([assignee]);
CREATE INDEX [idx_issues_user]
    ON [issues] ([user]);