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  • cisaacstern · 1 ✖

issue 1

  • `to_zarr` raises `ValueError: Invalid dtype` with `mode='a'` (but not with `mode='w'`) · 1 ✖

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  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1065424051 https://github.com/pydata/xarray/issues/6345#issuecomment-1065424051 https://api.github.com/repos/pydata/xarray/issues/6345 IC_kwDOAMm_X84_gRSz cisaacstern 62192187 2022-03-11T19:28:18Z 2022-03-11T19:31:18Z CONTRIBUTOR

So it looks like changing

https://github.com/pydata/xarray/blob/d293f50f9590251ce09543319d1f0dc760466f1b/xarray/backends/api.py#L1280-L1301

to

```python def _validate_datatypes_for_zarr_append(store, dataset): """DataArray.name and Dataset keys must be a string or None"""

def check_dtype(vname):
    store_dtype = store.get_variables()[vname].dtype
    dataset_dtype = dataset[vname].dtype
    if not store_dtype == dataset_dtype:
        raise ValueError(
            f"Mismatched dtypes for variable {vname} between Zarr store on disk "
            f"and dataset to append. Store has dtype {store_dtype} but dataset to "
            f"append has dtype {dataset_dtype}."
        )

for vname in dataset.data_vars:
    check_dtype(vname)

``` could work?

 
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   `to_zarr` raises `ValueError: Invalid dtype` with `mode='a'` (but not with `mode='w'`) 1164454058

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