issues: 714844298
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 |
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| 714844298 | MDExOlB1bGxSZXF1ZXN0NDk3ODU3MTA0 | 4485 | Handle scale_factor and add_offset as scalar | 500246 | closed | 0 | 3 | 2020-10-05T13:31:36Z | 2020-10-16T21:20:14Z | 2020-10-11T20:06:33Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/4485 | The h5netcdf engine exposes single-valued attributes as arrays of shape (1,), which is correct according to the NetCDF standard, but may cause a problem when reading a value of shape () before the scale_factor and add_offset have been applied. This PR adds a check for the dimensionality of add_offset and scale_factor and ensures they are scalar before they are used for further processing, adds a unit test to verify that this works correctly, and a note to the documentation to warn users of this difference between the h5netcdf and netcdf4 engines.
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13221727 | pull |