Comments (2)
To summarize the salient features of the diff:
- netCDF-C produces a file with a
_Netcdf4Dimid
attribute on thegrp1/data1
dataset. This seems a little strange -- this variable definitely isn't a dimension scale. - h5netcdf produces a file where
grp1/x
andgrp1/y
haveREFERENCE_LIST
attributes of length 2. This also looks suspicious -- why is the dimension scale attached twice, both to the same dataset?
from h5netcdf.
The real issue seems to be reusing dimension IDs.
Fixed by 13dae1a
from h5netcdf.
Related Issues (20)
- h5netcdf writes invalid netcdf to existing netcdf files HOT 6
- Corrupted headers when serialising using dask.distributed client HOT 9
- Test failures with NetCDF 4.9.0 HOT 6
- Remove h5py2 related code and CI builds HOT 3
- FAILED h5netcdf/tests/test_h5netcdf.py::test_group_names HOT 6
- AttributeError for '_phony_dim_count' when trying to convert a file made with h5py HOT 12
- Tests test_more_than_7_attr_creation_track_order and test_bool_slicing_length_one_dim fail in the test suite HOT 18
- very slow partial reading when saved with index shift HOT 10
- h5py minimum version update? HOT 5
- Improving performance for h5netcdf HOT 7
- Documentation request: Alternative way to obtain h5netcdf HOT 1
- Segmentation fault after upgrading to h5netcdf==1.1.0 HOT 14
- ValueError raised when attribute has type `h5py.Reference` HOT 5
- support for HDF5 dimension scales with null dataspace HOT 2
- Modifying attributes safely is not possible with all datasets. HOT 10
- Better Error for illegal variable names HOT 3
- md5 checksum mismatch for identical files/data HOT 7
- Question: does `h5netcdf` bring in the entire data from a netCDF file on a remote disk (like S3)? HOT 5
- Provide an example with time dimension readable by paraview HOT 3
- transient vs committed types HOT 5
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