dtonagel
dtonagel
The problem seems to be on the write side because the generated chunk files are different when using LocalStore ("0" chunk has 256 bytes in the pa version versus 200...
For what its worth: The memory layout of the two numpy arrays is different: *** data strides and flags: (88, 8) C_CONTIGUOUS : True F_CONTIGUOUS : False OWNDATA : False...
If I use `datapa = np.asarray(dfpa.values, order="C")` the problem disappears, so looks definitely like a handling problem with the "F" memory layout
I modified the example to remove pandas and pyarrow since they are not relevant any more: ``` # /// script # requires-python = ">=3.12" # dependencies = [ # "zarr@git+https://github.com/zarr-developers/zarr-python.git@main",...