[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

asv_bench/benchmarks/io/style.py

@@ -13,8 +13,8 @@ class Render:
     def setup(self, cols, rows):
         self.df = DataFrame(
             np.random.randn(rows, cols),
-            columns=[f"float_{i+1}" for i in range(cols)],
-            index=[f"row_{i+1}" for i in range(rows)],
+            columns=[f"float_{i + 1}" for i in range(cols)],
+            index=[f"row_{i + 1}" for i in range(rows)],
         )
 
     def time_apply_render(self, cols, rows):

doc/make.py

@@ -260,8 +260,7 @@ def latex(self, force=False):
                 for i in range(3):
                     self._run_os("pdflatex", "-interaction=nonstopmode", "pandas.tex")
                 raise SystemExit(
-                    "You should check the file "
-                    '"build/latex/pandas.pdf" for problems.'
+                    'You should check the file "build/latex/pandas.pdf" for problems.'
                 )
             self._run_os("make")
             return ret_code
@@ -343,8 +342,7 @@ def main():
         dest="verbosity",
         default=0,
         help=(
-            "increase verbosity (can be repeated), "
-            "passed to the sphinx build command"
+            "increase verbosity (can be repeated), passed to the sphinx build command"
         ),
     )
     argparser.add_argument(

doc/source/user_guide/style.ipynb

@@ -1288,7 +1288,7 @@
    "outputs": [],
    "source": [
     "df2.loc[:4].style.highlight_max(\n",
-    "    axis=1, props=(\"color:white; \" \"font-weight:bold; \" \"background-color:darkblue;\")\n",
+    "    axis=1, props=(\"color:white; font-weight:bold; background-color:darkblue;\")\n",
     ")"
    ]
   },

pandas/core/apply.py

@@ -1645,8 +1645,7 @@ def reconstruct_func(
             # GH 28426 will raise error if duplicated function names are used and
             # there is no reassigned name
             raise SpecificationError(
-                "Function names must be unique if there is no new column names "
-                "assigned"
+                "Function names must be unique if there is no new column names assigned"
             )
         if func is None:
             # nicer error message

pandas/core/arrays/base.py

@@ -1791,7 +1791,9 @@ def take(self, indices, allow_fill=False, fill_value=None):
                # type for the array, to the physical storage type for
                # the data, before passing to take.
 
-               result = take(data, indices, fill_value=fill_value, allow_fill=allow_fill)
+               result = take(
+                   data, indices, fill_value=fill_value, allow_fill=allow_fill
+               )
                return self._from_sequence(result, dtype=self.dtype)
         """  # noqa: E501
         # Implementer note: The `fill_value` parameter should be a user-facing

pandas/core/arrays/datetimes.py

@@ -2707,8 +2707,7 @@ def _maybe_infer_tz(tz: tzinfo | None, inferred_tz: tzinfo | None) -> tzinfo | N
         pass
     elif not timezones.tz_compare(tz, inferred_tz):
         raise TypeError(
-            f"data is already tz-aware {inferred_tz}, unable to "
-            f"set specified tz: {tz}"
+            f"data is already tz-aware {inferred_tz}, unable to set specified tz: {tz}"
         )
     return tz
 

pandas/core/computation/expr.py

@@ -698,7 +698,7 @@ def visit_Call(self, node, side=None, **kwargs):
                 if not isinstance(key, ast.keyword):
                     # error: "expr" has no attribute "id"
                     raise ValueError(
-                        "keyword error in function call " f"'{node.func.id}'"  # type: ignore[attr-defined]
+                        f"keyword error in function call '{node.func.id}'"  # type: ignore[attr-defined]
                     )
 
                 if key.arg:

pandas/core/computation/ops.py

@@ -512,8 +512,7 @@ def __init__(self, op: Literal["+", "-", "~", "not"], operand) -> None:
             self.func = _unary_ops_dict[op]
         except KeyError as err:
             raise ValueError(
-                f"Invalid unary operator {op!r}, "
-                f"valid operators are {UNARY_OPS_SYMS}"
+                f"Invalid unary operator {op!r}, valid operators are {UNARY_OPS_SYMS}"
             ) from err
 
     def __call__(self, env) -> MathCall:

pandas/core/dtypes/cast.py

@@ -1651,7 +1651,7 @@ def maybe_cast_to_integer_array(arr: list | np.ndarray, dtype: np.dtype) -> np.n
                 # (test_constructor_coercion_signed_to_unsigned) so safe to ignore.
                 warnings.filterwarnings(
                     "ignore",
-                    "NumPy will stop allowing conversion of " "out-of-bound Python int",
+                    "NumPy will stop allowing conversion of out-of-bound Python int",
                     DeprecationWarning,
                 )
                 casted = np.asarray(arr, dtype=dtype)

pandas/core/dtypes/dtypes.py

@@ -605,8 +605,7 @@ def update_dtype(self, dtype: str_type | CategoricalDtype) -> CategoricalDtype:
             return self
         elif not self.is_dtype(dtype):
             raise ValueError(
-                f"a CategoricalDtype must be passed to perform an update, "
-                f"got {dtype!r}"
+                f"a CategoricalDtype must be passed to perform an update, got {dtype!r}"
             )
         else:
             # from here on, dtype is a CategoricalDtype