This is how it behaves right now. I believe this should be the same behavior as previously now with the extra possibility to format scalar arrays:

```python import pandas as pd import xarray as xr

s = pd.Series( range(4), index=pd.MultiIndex.from_product([list("ab"), list("cd")]), )

da = xr.DataArray.from_series(s, sparse=True)

Handle sparse:

print(f"Error: {da} is sparse") Error: <xarray.DataArray (level_0: 2, level_1: 2)> <COO: shape=(2, 2), dtype=float64, nnz=4, fill_value=nan> Coordinates: * level_0 (level_0) object 'a' 'b' * level_1 (level_1) object 'c' 'd' is sparse

Handle format_spec:

da = xr.DataArray([1, 2, 3])

print(f'{da[0]}') <xarray.DataArray ()> array(1)

print(f'{da[0]:d}') 1

print(f'{da[0]:f}') 1.000000

da = xr.DataArray([1, 2, 3]) print(f'{da:.f}') Traceback (most recent call last): (...) NotImplementedError: Using format_spec is only supported when shape is (). Got shape = (3,). ```