small string fixes (#8598)

xarray/coding/cftimeindex.py

@@ -553,7 +553,7 @@ def shift(self, n: int | float, freq: str | timedelta):
             return self + n * to_offset(freq)
         else:
             raise TypeError(
-                "'freq' must be of type " f"str or datetime.timedelta, got {freq}."
+                f"'freq' must be of type str or datetime.timedelta, got {freq}."
             )
 
     def __add__(self, other):

xarray/core/combine.py

@@ -179,7 +179,7 @@ def _check_shape_tile_ids(combined_tile_ids):
             raise ValueError(
                 "The supplied objects do not form a hypercube "
                 "because sub-lists do not have consistent "
-                "lengths along dimension" + str(dim)
+                f"lengths along dimension {dim}"
             )
 
 

xarray/core/computation.py

@@ -811,7 +811,7 @@ def func(*arrays):
             pass
         else:
             raise ValueError(
-                "unknown setting for chunked array handling in " f"apply_ufunc: {dask}"
+                f"unknown setting for chunked array handling in apply_ufunc: {dask}"
             )
     else:
         if vectorize:
@@ -1383,7 +1383,7 @@ def cov(
         )
     if weights is not None:
         if not isinstance(weights, DataArray):
-            raise TypeError("Only xr.DataArray is supported." f"Given {type(weights)}.")
+            raise TypeError(f"Only xr.DataArray is supported. Given {type(weights)}.")
     return _cov_corr(da_a, da_b, weights=weights, dim=dim, ddof=ddof, method="cov")
 
 
@@ -1487,7 +1487,7 @@ def corr(
         )
     if weights is not None:
         if not isinstance(weights, DataArray):
-            raise TypeError("Only xr.DataArray is supported." f"Given {type(weights)}.")
+            raise TypeError(f"Only xr.DataArray is supported. Given {type(weights)}.")
     return _cov_corr(da_a, da_b, weights=weights, dim=dim, method="corr")
 
 

xarray/core/dataarray.py

@@ -2296,7 +2296,7 @@ def interp(
         """
         if self.dtype.kind not in "uifc":
             raise TypeError(
-                "interp only works for a numeric type array. " f"Given {self.dtype}."
+                f"interp only works for a numeric type array. Given {self.dtype}."
             )
         ds = self._to_temp_dataset().interp(
             coords,
@@ -2423,7 +2423,7 @@ def interp_like(
         """
         if self.dtype.kind not in "uifc":
             raise TypeError(
-                "interp only works for a numeric type array. " f"Given {self.dtype}."
+                f"interp only works for a numeric type array. Given {self.dtype}."
             )
         ds = self._to_temp_dataset().interp_like(
             other, method=method, kwargs=kwargs, assume_sorted=assume_sorted

xarray/core/dataset.py

@@ -7159,9 +7159,9 @@ def to_pandas(self) -> pd.Series | pd.DataFrame:
         if len(self.dims) == 1:
             return self.to_dataframe()
         raise ValueError(
-            "cannot convert Datasets with %s dimensions into "
+            f"cannot convert Datasets with {len(self.dims)} dimensions into "
             "pandas objects without changing the number of dimensions. "
-            "Please use Dataset.to_dataframe() instead." % len(self.dims)
+            "Please use Dataset.to_dataframe() instead."
         )
 
     def _to_dataframe(self, ordered_dims: Mapping[Any, int]):
@@ -7564,9 +7564,7 @@ def from_dict(cls, d: Mapping[Any, Any]) -> Self:
                 for k, v in variables
             }
         except KeyError as e:
-            raise ValueError(
-                "cannot convert dict without the key " f"'{str(e.args[0])}'"
-            )
+            raise ValueError(f"cannot convert dict without the key '{str(e.args[0])}'")
         obj = cls(variable_dict)
 
         # what if coords aren't dims?

xarray/core/formatting_html.py

@@ -47,7 +47,7 @@ def format_dims(dim_sizes, dims_with_index) -> str:
     }
 
     dims_li = "".join(
-        f"<li><span{dim_css_map[dim]}>" f"{escape(str(dim))}</span>: {size}</li>"
+        f"<li><span{dim_css_map[dim]}>{escape(str(dim))}</span>: {size}</li>"
         for dim, size in dim_sizes.items()
     )
 
@@ -56,7 +56,7 @@ def format_dims(dim_sizes, dims_with_index) -> str:
 
 def summarize_attrs(attrs) -> str:
     attrs_dl = "".join(
-        f"<dt><span>{escape(str(k))} :</span></dt>" f"<dd>{escape(str(v))}</dd>"
+        f"<dt><span>{escape(str(k))} :</span></dt><dd>{escape(str(v))}</dd>"
         for k, v in attrs.items()
     )