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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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199032440 | MDU6SXNzdWUxOTkwMzI0NDA= | 1193 | Reading netcdf containing empty N-d string arrays causes exception | petercable 6645714 | closed | 0 | 4 | 2017-01-05T19:00:22Z | 2019-08-30T23:18:04Z | 2019-08-30T23:18:04Z | CONTRIBUTOR | For example: ``` import xarray as xr import numpy as np a = np.array([[]], 'str') ds = xr.Dataset() ds['x'] = (['dim0', 'dim1'], a, {}) ds.to_netcdf('test.nc') ds = xr.open_dataset('test.nc') ds.load() ``` The exception occurs in the call to conventions.char_to_string:
I am able to avoid the exception locally by testing that the last dimension is > 0 prior to creating a view:
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completed | xarray 13221727 | issue | ||||||
100601294 | MDU6SXNzdWUxMDA2MDEyOTQ= | 526 | 64-bit values are coerced to 32-bit when writing as NETCDF4_CLASSIC | petercable 6645714 | closed | 0 | 5 | 2015-08-12T18:06:42Z | 2015-09-01T21:02:08Z | 2015-09-01T21:02:08Z | CONTRIBUTOR | ``` import xray import numpy ds = xray.Dataset() time_data = numpy.arange(10.0, 100.0, .5) raw_data = time_data.copy() times = xray.Variable('time', time_data) data = xray.DataArray(raw_data, dims=['time'], coords={'time': times}) ds['data'] = data ``` If you examine ds now, you’ll see:
Now, if we dump to netcdf and reload:
The formerly 64-bit values are now 32-bit:
It looks to me like coerce_nc3_dtype is being called for all formats that aren't straight NETCDF4. |
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completed | xarray 13221727 | issue |
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