Method prepare_variable

xarray/backends/scipy_.py:328–357

(
        self,
        name: str,
        variable: Variable,
        check_encoding: bool = False,
        unlimited_dims: set[str] | None = None,
    )

        return variable

    def prepare_variable(
        self,
        name: str,
        variable: Variable,
        check_encoding: bool = False,
        unlimited_dims: set[str] | None = None,
    ) -> tuple[ScipyArrayWrapper, Any]:
        if (
            check_encoding
            and variable.encoding
            and variable.encoding != {"_FillValue": None}
        ):
            raise ValueError(
                f"unexpected encoding for scipy backend: {list(variable.encoding)}"
            )

        data = variable.data
        # nb. this still creates a numpy array in all memory, even though we
        # don't write the data yet; scipy.io.netcdf does not support incremental
        # writes.
        if name not in self.ds.variables:
            self.ds.createVariable(name, data.dtype, [str(v) for v in variable.dims])
        scipy_var = self.ds.variables[name]
        for k, v in variable.attrs.items():
            self._validate_attr_key(k)
            setattr(scipy_var, k, v)

        target = ScipyArrayWrapper(name, self)

        return target, data

    def sync(self) -> None:
        self.ds.sync()