issues: 1075765204
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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 |
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1075765204 | I_kwDOAMm_X85AHt_U | 6055 | Unexpected type conversion in variables with _FillValue | 24235303 | closed | 0 | 4 | 2021-12-09T16:26:54Z | 2023-09-13T12:40:14Z | 2023-09-13T12:40:13Z | CONTRIBUTOR | What happened:
When opening a dataset with an int16 variable with the What you expected to happen: I would expect the type to remain the same when applying the _FillValue. Minimal Complete Verifiable Example: Original example from TileDB-CF-Py issue #117 using the TileDB backend. ```python import tiledb import xarray as xr import numpy as np index = tiledb.Dim(name='index', domain=(0, 3)) domain = tiledb.Domain(index) var = tiledb.Attr(name='var', dtype=np.int16) schema = tiledb.ArraySchema(domain=domain, attrs=[var], sparse=False) tiledb.Array.create('dense_array0', schema) with tiledb.open('dense_array0', 'w') as A: A[:] = np.array([5, 6, 7, 8], dtype=np.int16) ds = xr.open_dataset('dense_array0', engine='tiledb') ds['var'].dtype ``` NetCDF example with the same behavior: ```python import netCDF4 import xarray as xr import numpy as np filename = 'temp_file.nc' with netCDF4.Dataset(filename, mode="w") as group: group.createDimension("index", 4) var = group.createVariable("var", np.int16, ("index",), fill_value=-1) var[:] = np.array([5, 6, 7, 8], dtype=np.int16) dataset = xr.open_dataset(filename) dataset["var"].dtype ``` Anything else we need to know?:
* I was able to verify the type conversion from int16 to float32 occurs in the Environment: I was able to reproduce this with both xarray 0.19.0 and 0.20.1 |
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completed | 13221727 | issue |