scalar-return

Author: twoertwein

pandas/_version.py

@@ -334,7 +334,7 @@ def git_pieces_from_vcs(tag_prefix, root, verbose, run_command=run_command):
     return pieces
 
 
-def plus_or_dot(pieces):
+def plus_or_dot(pieces) -> str:
     """Return a + if we don't already have one, else return a ."""
     if "+" in pieces.get("closest-tag", ""):
         return "."

pandas/core/computation/expressions.py

@@ -71,7 +71,7 @@ def _evaluate_standard(op, op_str, a, b):
     return op(a, b)
 
 
-def _can_use_numexpr(op, op_str, a, b, dtype_check):
+def _can_use_numexpr(op, op_str, a, b, dtype_check) -> bool:
     """return a boolean if we WILL be using numexpr"""
     if op_str is not None:
 
@@ -205,7 +205,7 @@ def _has_bool_dtype(x):
 _BOOL_OP_UNSUPPORTED = {"+": "|", "*": "&", "-": "^"}
 
 
-def _bool_arith_fallback(op_str, a, b):
+def _bool_arith_fallback(op_str, a, b) -> bool:
     """
     Check if we should fallback to the python `_evaluate_standard` in case
     of an unsupported operation by numexpr, which is the case for some

pandas/core/dtypes/dtypes.py

@@ -676,7 +676,7 @@ def na_value(self) -> NaTType:
         return NaT
 
     @cache_readonly
-    def str(self):
+    def str(self) -> str:
         return f"|M8[{self._unit}]"
 
     def __init__(self, unit: str_type | DatetimeTZDtype = "ns", tz=None) -> None:

pandas/core/series.py

@@ -1328,7 +1328,7 @@ def _maybe_update_cacher(
     # Unsorted
 
     @property
-    def _is_mixed_type(self):
+    def _is_mixed_type(self) -> bool:
         return False
 
     def repeat(self, repeats: int | Sequence[int], axis: None = None) -> Series:

pandas/io/formats/latex.py

@@ -180,7 +180,7 @@ def pad_empties(x):
         return strcols
 
     @property
-    def _empty_info_line(self):
+    def _empty_info_line(self) -> str:
         return (
             f"Empty {type(self.frame).__name__}\n"
             f"Columns: {self.frame.columns}\n"
@@ -773,7 +773,7 @@ def _get_column_format_based_on_dtypes(self) -> str:
         Right alignment for numbers and left - for strings.
         """
 
-        def get_col_type(dtype):
+        def get_col_type(dtype) -> str:
             if issubclass(dtype.type, np.number):
                 return "r"
             return "l"

pandas/io/formats/style_render.py

@@ -627,7 +627,7 @@ def _check_trim(
         element,
         css=None,
         value="...",
-    ):
+    ) -> bool:
         """
         Indicates whether to break render loops and append a trimming indicator
 

pandas/io/sql.py

@@ -1856,7 +1856,7 @@ def __init__(self, *args, **kwargs) -> None:
 
         # this will transform time(12,34,56,789) into '12:34:56.000789'
         # (this is what sqlalchemy does)
-        def _adapt_time(t):
+        def _adapt_time(t) -> str:
             # This is faster than strftime
             return f"{t.hour:02d}:{t.minute:02d}:{t.second:02d}.{t.microsecond:06d}"
 

pandas/plotting/_matplotlib/boxplot.py

@@ -215,7 +215,7 @@ def _post_plot_logic(self, ax, data) -> None:
             ax.set_ylabel(pprint_thing(self.ylabel))
 
     @property
-    def orientation(self):
+    def orientation(self) -> str:
         if self.kwds.get("vert", True):
             return "vertical"
         else:

pandas/util/_decorators.py

@@ -215,7 +215,7 @@ def wrapper(*args, **kwargs) -> Callable[..., Any]:
     return _deprecate_kwarg
 
 
-def _format_argument_list(allow_args: list[str]):
+def _format_argument_list(allow_args: list[str]) -> str:
     """
     Convert the allow_args argument (either string or integer) of
     `deprecate_nonkeyword_arguments` function to a string describing

pandas/util/_test_decorators.py

@@ -111,15 +111,15 @@ def safe_import(mod_name: str, min_version: str | None = None):
     return False
 
 
-def _skip_if_no_mpl():
+def _skip_if_no_mpl() -> bool:
     mod = safe_import("matplotlib")
     if mod:
         mod.use("Agg")
     else:
         return True
 
 
-def _skip_if_not_us_locale():
+def _skip_if_not_us_locale() -> bool:
     lang, _ = locale.getlocale()
     if lang != "en_US":
         return True