issues: 924722006
This data as json
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
924722006 | MDU6SXNzdWU5MjQ3MjIwMDY= | 5491 | rasterio backend not supporting complex_int16 type | 14925067 | closed | 0 | 3 | 2021-06-18T09:29:27Z | 2023-02-28T21:48:22Z | 2023-02-28T21:48:21Z | NONE | Dear xarray team,
problem : /home1/datawork/agrouaze/conda_envs2/envs/xsar_gdal3.3_v2/lib/python3.8/site-packages/xarray/backends/rasterio_.py in open_rasterio(filename, parse_coordinates, chunks, cache, lock) 371 attrs[k] = v 372 --> 373 data = indexing.LazilyIndexedArray(RasterioArrayWrapper(manager, lock, vrt_params)) 374 375 # this lets you write arrays loaded with rasterio /home1/datawork/agrouaze/conda_envs2/envs/xsar_gdal3.3_v2/lib/python3.8/site-packages/xarray/backends/rasterio_.py in init(self, manager, lock, vrt_params) 40 if not np.all(np.asarray(dtypes) == dtypes[0]): 41 raise ValueError("All bands should have the same dtype") ---> 42 self._dtype = np.dtype(dtypes[0]) 43 44 @property TypeError: data type 'complex_int16' not understood ``` versions : rasterio == 1.2.4 gdal == 3.3.0 numpy == 1.20.4 xarray == 0.18.2 system : Linux Ubuntu 16.04.7 Python 3.8.10 possible patch in |
{ "url": "https://api.github.com/repos/pydata/xarray/issues/5491/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
completed | 13221727 | issue |