diff --git a/pandas/core/series.py b/pandas/core/series.py index 555024ad75f5e..dbc105be3c62b 100644 --- a/pandas/core/series.py +++ b/pandas/core/series.py @@ -962,12 +962,12 @@ def _get_values_tuple(self, key): # If key is contained, would have returned by now indexer, new_index = self.index.get_loc_level(key) return self._constructor(self._values[indexer], index=new_index).__finalize__( - self, + self ) def _get_values(self, indexer): try: - return self._constructor(self._mgr.get_slice(indexer)).__finalize__(self,) + return self._constructor(self._mgr.get_slice(indexer)).__finalize__(self) except ValueError: # mpl compat if we look up e.g. ser[:, np.newaxis]; # see tests.series.timeseries.test_mpl_compat_hack diff --git a/pandas/core/window/ewm.py b/pandas/core/window/ewm.py index c57c434dd3040..1913b51a68c15 100644 --- a/pandas/core/window/ewm.py +++ b/pandas/core/window/ewm.py @@ -362,7 +362,7 @@ def var(self, bias: bool = False, *args, **kwargs): def f(arg): return window_aggregations.ewmcov( - arg, arg, self.com, self.adjust, self.ignore_na, self.min_periods, bias, + arg, arg, self.com, self.adjust, self.ignore_na, self.min_periods, bias ) return self._apply(f) @@ -458,7 +458,7 @@ def _get_corr(X, Y): def _cov(x, y): return window_aggregations.ewmcov( - x, y, self.com, self.adjust, self.ignore_na, self.min_periods, 1, + x, y, self.com, self.adjust, self.ignore_na, self.min_periods, 1 ) x_values = X._prep_values() diff --git a/pandas/core/window/indexers.py b/pandas/core/window/indexers.py index 7c76a8e2a0b22..a21521f4ce8bb 100644 --- a/pandas/core/window/indexers.py +++ b/pandas/core/window/indexers.py @@ -40,7 +40,7 @@ class BaseIndexer: """Base class for window bounds calculations.""" def __init__( - self, index_array: Optional[np.ndarray] = None, window_size: int = 0, **kwargs, + self, index_array: Optional[np.ndarray] = None, window_size: int = 0, **kwargs ): """ Parameters @@ -105,7 +105,7 @@ def get_window_bounds( ) -> Tuple[np.ndarray, np.ndarray]: return calculate_variable_window_bounds( - num_values, self.window_size, min_periods, center, closed, self.index_array, + num_values, self.window_size, min_periods, center, closed, self.index_array ) @@ -316,7 +316,7 @@ def get_window_bounds( # Cannot use groupby_indicies as they might not be monotonic with the object # we're rolling over window_indicies = np.arange( - window_indicies_start, window_indicies_start + len(indices), + window_indicies_start, window_indicies_start + len(indices) ) window_indicies_start += len(indices) # Extend as we'll be slicing window like [start, end) diff --git a/pandas/core/window/numba_.py b/pandas/core/window/numba_.py index 5d35ec7457ab0..aec294c3c84c2 100644 --- a/pandas/core/window/numba_.py +++ b/pandas/core/window/numba_.py @@ -57,7 +57,7 @@ def generate_numba_apply_func( @numba.jit(nopython=nopython, nogil=nogil, parallel=parallel) def roll_apply( - values: np.ndarray, begin: np.ndarray, end: np.ndarray, minimum_periods: int, + values: np.ndarray, begin: np.ndarray, end: np.ndarray, minimum_periods: int ) -> np.ndarray: result = np.empty(len(begin)) for i in loop_range(len(result)): diff --git a/pandas/core/window/rolling.py b/pandas/core/window/rolling.py index baabdf0fca29a..39fcfcbe2bff6 100644 --- a/pandas/core/window/rolling.py +++ b/pandas/core/window/rolling.py @@ -2117,7 +2117,7 @@ def count(self): @Substitution(name="rolling") @Appender(_shared_docs["apply"]) def apply( - self, func, raw=False, engine=None, engine_kwargs=None, args=None, kwargs=None, + self, func, raw=False, engine=None, engine_kwargs=None, args=None, kwargs=None ): return super().apply( func, diff --git a/pandas/io/formats/css.py b/pandas/io/formats/css.py index b40d2a57b8106..4d6f03489725f 100644 --- a/pandas/io/formats/css.py +++ b/pandas/io/formats/css.py @@ -20,9 +20,7 @@ def expand(self, prop, value: str): try: mapping = self.SIDE_SHORTHANDS[len(tokens)] except KeyError: - warnings.warn( - f'Could not expand "{prop}: {value}"', CSSWarning, - ) + warnings.warn(f'Could not expand "{prop}: {value}"', CSSWarning) return for key, idx in zip(self.SIDES, mapping): yield prop_fmt.format(key), tokens[idx] @@ -117,10 +115,7 @@ def __call__(self, declarations_str, inherited=None): props[prop] = self.size_to_pt( props[prop], em_pt=font_size, conversions=self.BORDER_WIDTH_RATIOS ) - for prop in [ - f"margin-{side}", - f"padding-{side}", - ]: + for prop in [f"margin-{side}", f"padding-{side}"]: if prop in props: # TODO: support % props[prop] = self.size_to_pt( diff --git a/pandas/io/formats/format.py b/pandas/io/formats/format.py index 81990b3d505e1..461ef6823918e 100644 --- a/pandas/io/formats/format.py +++ b/pandas/io/formats/format.py @@ -80,7 +80,7 @@ FloatFormatType = Union[str, Callable, "EngFormatter"] ColspaceType = Mapping[Label, Union[str, int]] ColspaceArgType = Union[ - str, int, Sequence[Union[str, int]], Mapping[Label, Union[str, int]], + str, int, Sequence[Union[str, int]], Mapping[Label, Union[str, int]] ] common_docstring = """ @@ -741,7 +741,7 @@ def _to_str_columns(self) -> List[List[str]]: for i, c in enumerate(frame): fmt_values = self._format_col(i) fmt_values = _make_fixed_width( - fmt_values, self.justify, minimum=col_space.get(c, 0), adj=self.adj, + fmt_values, self.justify, minimum=col_space.get(c, 0), adj=self.adj ) stringified.append(fmt_values) else: @@ -1069,7 +1069,7 @@ def _get_formatted_index(self, frame: "DataFrame") -> List[str]: fmt_index = [ tuple( _make_fixed_width( - list(x), justify="left", minimum=col_space.get("", 0), adj=self.adj, + list(x), justify="left", minimum=col_space.get("", 0), adj=self.adj ) ) for x in fmt_index diff --git a/pandas/io/orc.py b/pandas/io/orc.py index ea79efd0579e5..b556732e4d116 100644 --- a/pandas/io/orc.py +++ b/pandas/io/orc.py @@ -12,7 +12,7 @@ def read_orc( - path: FilePathOrBuffer, columns: Optional[List[str]] = None, **kwargs, + path: FilePathOrBuffer, columns: Optional[List[str]] = None, **kwargs ) -> "DataFrame": """ Load an ORC object from the file path, returning a DataFrame.