PERF cache find_stack_level (#48023)

cache stacklevel

pandas/_libs/interval.pyx

@@ -1,3 +1,4 @@
+import inspect
 import numbers
 from operator import (
     le,
@@ -45,6 +46,7 @@ cnp.import_array()
 import warnings
 
 from pandas._libs import lib
+
 from pandas._libs cimport util
 from pandas._libs.hashtable cimport Int64Vector
 from pandas._libs.tslibs.timedeltas cimport _Timedelta
@@ -394,7 +396,7 @@ cdef class Interval(IntervalMixin):
         warnings.warn(
             "Attribute `closed` is deprecated in favor of `inclusive`.",
             FutureWarning,
-            stacklevel=find_stack_level(),
+            stacklevel=find_stack_level(inspect.currentframe()),
         )
         return self.inclusive
 

pandas/_testing/asserters.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import inspect
 from typing import (
     Literal,
     cast,
@@ -112,7 +113,7 @@ def assert_almost_equal(
             "is deprecated and will be removed in a future version. "
             "You can stop passing 'check_less_precise' to silence this warning.",
             FutureWarning,
-            stacklevel=find_stack_level(),
+            stacklevel=find_stack_level(inspect.currentframe()),
         )
         rtol = atol = _get_tol_from_less_precise(check_less_precise)
 
@@ -339,7 +340,7 @@ def _get_ilevel_values(index, level):
             "is deprecated and will be removed in a future version. "
             "You can stop passing 'check_less_precise' to silence this warning.",
             FutureWarning,
-            stacklevel=find_stack_level(),
+            stacklevel=find_stack_level(inspect.currentframe()),
         )
         rtol = atol = _get_tol_from_less_precise(check_less_precise)
 
@@ -815,7 +816,7 @@ def assert_extension_array_equal(
             "is deprecated and will be removed in a future version. "
             "You can stop passing 'check_less_precise' to silence this warning.",
             FutureWarning,
-            stacklevel=find_stack_level(),
+            stacklevel=find_stack_level(inspect.currentframe()),
         )
         rtol = atol = _get_tol_from_less_precise(check_less_precise)
 
@@ -970,7 +971,7 @@ def assert_series_equal(
             "is deprecated and will be removed in a future version. "
             "You can stop passing 'check_less_precise' to silence this warning.",
             FutureWarning,
-            stacklevel=find_stack_level(),
+            stacklevel=find_stack_level(inspect.currentframe()),
         )
         rtol = atol = _get_tol_from_less_precise(check_less_precise)
 
@@ -1263,7 +1264,7 @@ def assert_frame_equal(
             "is deprecated and will be removed in a future version. "
             "You can stop passing 'check_less_precise' to silence this warning.",
             FutureWarning,
-            stacklevel=find_stack_level(),
+            stacklevel=find_stack_level(inspect.currentframe()),
         )
         rtol = atol = _get_tol_from_less_precise(check_less_precise)
 

pandas/core/accessor.py

@@ -6,6 +6,7 @@
 """
 from __future__ import annotations
 
+import inspect
 import warnings
 
 from pandas.util._decorators import doc
@@ -268,7 +269,7 @@ def decorator(accessor):
                 f"{repr(name)} for type {repr(cls)} is overriding a preexisting "
                 f"attribute with the same name.",
                 UserWarning,
-                stacklevel=find_stack_level(),
+                stacklevel=find_stack_level(inspect.currentframe()),
             )
         setattr(cls, name, CachedAccessor(name, accessor))
         cls._accessors.add(name)

pandas/core/algorithms.py

@@ -836,7 +836,9 @@ def resolve_na_sentinel(
                 "Specify `use_na_sentinel=True` to use the sentinel value -1, and "
                 "`use_na_sentinel=False` to encode NaN values."
             )
-        warnings.warn(msg, FutureWarning, stacklevel=find_stack_level())
+        warnings.warn(
+            msg, FutureWarning, stacklevel=find_stack_level(inspect.currentframe())
+        )
         result = na_sentinel
     return result
 
@@ -1658,7 +1660,7 @@ def diff(arr, n: int, axis: int = 0):
                 "dtype lost in 'diff()'. In the future this will raise a "
                 "TypeError. Convert to a suitable dtype prior to calling 'diff'.",
                 FutureWarning,
-                stacklevel=find_stack_level(),
+                stacklevel=find_stack_level(inspect.currentframe()),
             )
             arr = np.asarray(arr)
             dtype = arr.dtype

pandas/core/apply.py

@@ -291,7 +291,7 @@ def transform_dict_like(self, func):
                 f"raised, this will raise in a future version of pandas. "
                 f"Drop these columns/ops to avoid this warning.",
                 FutureWarning,
-                stacklevel=find_stack_level(),
+                stacklevel=find_stack_level(inspect.currentframe()),
             )
         return concat(results, axis=1)
 
@@ -423,7 +423,7 @@ def agg_list_like(self) -> DataFrame | Series:
             warnings.warn(
                 depr_nuisance_columns_msg.format(failed_names),
                 FutureWarning,
-                stacklevel=find_stack_level(),
+                stacklevel=find_stack_level(inspect.currentframe()),
             )
 
         try:

pandas/core/arraylike.py

@@ -6,6 +6,7 @@
 """
 from __future__ import annotations
 
+import inspect
 import operator
 from typing import Any
 import warnings
@@ -220,7 +221,7 @@ def _maybe_fallback(ufunc: np.ufunc, method: str, *inputs: Any, **kwargs: Any):
                 "or align manually (eg 'df1, df2 = df1.align(df2)') before passing to "
                 "the ufunc to obtain the future behaviour and silence this warning.",
                 FutureWarning,
-                stacklevel=find_stack_level(),
+                stacklevel=find_stack_level(inspect.currentframe()),
             )
 
             # keep the first dataframe of the inputs, other DataFrame/Series is
@@ -348,7 +349,9 @@ def _reconstruct(result):
                         "to an array with '.to_numpy()' first."
                     )
                     warnings.warn(
-                        msg.format(ufunc), FutureWarning, stacklevel=find_stack_level()
+                        msg.format(ufunc),
+                        FutureWarning,
+                        stacklevel=find_stack_level(inspect.currentframe()),
                     )
                     return result
                 raise NotImplementedError

pandas/core/arrays/arrow/_arrow_utils.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import inspect
 import json
 import warnings
 
@@ -22,7 +23,9 @@ def fallback_performancewarning(version: str | None = None) -> None:
     msg = "Falling back on a non-pyarrow code path which may decrease performance."
     if version is not None:
         msg += f" Upgrade to pyarrow >={version} to possibly suppress this warning."
-    warnings.warn(msg, PerformanceWarning, stacklevel=find_stack_level())
+    warnings.warn(
+        msg, PerformanceWarning, stacklevel=find_stack_level(inspect.currentframe())
+    )
 
 
 def pyarrow_array_to_numpy_and_mask(
@@ -133,7 +136,7 @@ def closed(self) -> IntervalInclusiveType:
         warnings.warn(
             "Attribute `closed` is deprecated in favor of `inclusive`.",
             FutureWarning,
-            stacklevel=find_stack_level(),
+            stacklevel=find_stack_level(inspect.currentframe()),
         )
         return self._inclusive
 

pandas/core/arrays/base.py

@@ -476,7 +476,7 @@ def __init_subclass__(cls, **kwargs) -> None:
                 f"instead.  Add this argument to `{name}.factorize` to be compatible "
                 f"with future versions of pandas and silence this warning.",
                 DeprecationWarning,
-                stacklevel=find_stack_level(),
+                stacklevel=find_stack_level(inspect.currentframe()),
             )
 
     def to_numpy(

pandas/core/arrays/categorical.py

@@ -2,6 +2,7 @@
 
 from csv import QUOTE_NONNUMERIC
 from functools import partial
+import inspect
 import operator
 from shutil import get_terminal_size
 from typing import (
@@ -394,7 +395,7 @@ def __init__(
                 "Allowing scalars in the Categorical constructor is deprecated "
                 "and will raise in a future version.  Use `[value]` instead",
                 FutureWarning,
-                stacklevel=find_stack_level(),
+                stacklevel=find_stack_level(inspect.currentframe()),
             )
             values = [values]
 
@@ -749,7 +750,7 @@ def categories(self, categories) -> None:
             "Setting categories in-place is deprecated and will raise in a "
             "future version. Use rename_categories instead.",
             FutureWarning,
-            stacklevel=find_stack_level(),
+            stacklevel=find_stack_level(inspect.currentframe()),
         )
 
         self._set_categories(categories)
@@ -873,7 +874,7 @@ def set_ordered(
                 "a future version. setting ordered-ness on categories will always "
                 "return a new Categorical object.",
                 FutureWarning,
-                stacklevel=find_stack_level(),
+                stacklevel=find_stack_level(inspect.currentframe()),
             )
         else:
             inplace = False
@@ -1125,7 +1126,7 @@ def rename_categories(
                 "a future version. Removing unused categories will always "
                 "return a new Categorical object.",
                 FutureWarning,
-                stacklevel=find_stack_level(),
+                stacklevel=find_stack_level(inspect.currentframe()),
             )
         else:
             inplace = False
@@ -1189,7 +1190,7 @@ def reorder_categories(self, new_categories, ordered=None, inplace=no_default):
                 "a future version. Reordering categories will always "
                 "return a new Categorical object.",
                 FutureWarning,
-                stacklevel=find_stack_level(),
+                stacklevel=find_stack_level(inspect.currentframe()),
             )
         else:
             inplace = False
@@ -1273,7 +1274,7 @@ def add_categories(
                 "a future version. Removing unused categories will always "
                 "return a new Categorical object.",
                 FutureWarning,
-                stacklevel=find_stack_level(),
+                stacklevel=find_stack_level(inspect.currentframe()),
             )
         else:
             inplace = False
@@ -1349,7 +1350,7 @@ def remove_categories(self, removals, inplace=no_default):
                 "a future version. Removing unused categories will always "
                 "return a new Categorical object.",
                 FutureWarning,
-                stacklevel=find_stack_level(),
+                stacklevel=find_stack_level(inspect.currentframe()),
             )
         else:
             inplace = False
@@ -1437,7 +1438,7 @@ def remove_unused_categories(
                 "remove_unused_categories is deprecated and "
                 "will be removed in a future version.",
                 FutureWarning,
-                stacklevel=find_stack_level(),
+                stacklevel=find_stack_level(inspect.currentframe()),
             )
         else:
             inplace = False
@@ -2046,7 +2047,7 @@ def to_dense(self) -> np.ndarray:
             "Categorical.to_dense is deprecated and will be removed in "
             "a future version.  Use np.asarray(cat) instead.",
             FutureWarning,
-            stacklevel=find_stack_level(),
+            stacklevel=find_stack_level(inspect.currentframe()),
         )
         return np.asarray(self)
 
@@ -2063,7 +2064,7 @@ def _codes(self, value: np.ndarray):
             "Setting the codes on a Categorical is deprecated and will raise in "
             "a future version. Create a new Categorical object instead",
             FutureWarning,
-            stacklevel=find_stack_level(),
+            stacklevel=find_stack_level(inspect.currentframe()),
         )  # GH#40606
         NDArrayBacked.__init__(self, value, self.dtype)
 
@@ -2088,7 +2089,7 @@ def take_nd(
         warn(
             "Categorical.take_nd is deprecated, use Categorical.take instead",
             FutureWarning,
-            stacklevel=find_stack_level(),
+            stacklevel=find_stack_level(inspect.currentframe()),
         )
         return self.take(indexer, allow_fill=allow_fill, fill_value=fill_value)
 
@@ -2381,7 +2382,7 @@ def mode(self, dropna: bool = True) -> Categorical:
             "Categorical.mode is deprecated and will be removed in a future version. "
             "Use Series.mode instead.",
             FutureWarning,
-            stacklevel=find_stack_level(),
+            stacklevel=find_stack_level(inspect.currentframe()),
         )
         return self._mode(dropna=dropna)
 
@@ -2524,7 +2525,7 @@ def is_dtype_equal(self, other) -> bool:
             "Categorical.is_dtype_equal is deprecated and will be removed "
             "in a future version",
             FutureWarning,
-            stacklevel=find_stack_level(),
+            stacklevel=find_stack_level(inspect.currentframe()),
         )
         try:
             return self._categories_match_up_to_permutation(other)
@@ -2648,7 +2649,7 @@ def replace(self, to_replace, value, inplace: bool = False) -> Categorical | Non
             "Categorical.replace is deprecated and will be removed in a future "
             "version. Use Series.replace directly instead.",
             FutureWarning,
-            stacklevel=find_stack_level(),
+            stacklevel=find_stack_level(inspect.currentframe()),
         )
         return self._replace(to_replace=to_replace, value=value, inplace=inplace)
 

pandas/core/arrays/datetimelike.py

@@ -4,6 +4,7 @@
     datetime,
     timedelta,
 )
+import inspect
 import operator
 from typing import (
     TYPE_CHECKING,
@@ -469,7 +470,7 @@ def astype(self, dtype, copy: bool = True):
                         "exactly the specified dtype instead of uint64, and will "
                         "raise if that conversion overflows.",
                         FutureWarning,
-                        stacklevel=find_stack_level(),
+                        stacklevel=find_stack_level(inspect.currentframe()),
                     )
                 elif (self.asi8 < 0).any():
                     # GH#45034
@@ -479,7 +480,7 @@ def astype(self, dtype, copy: bool = True):
                         "raise if the conversion overflows, as it did in this "
                         "case with negative int64 values.",
                         FutureWarning,
-                        stacklevel=find_stack_level(),
+                        stacklevel=find_stack_level(inspect.currentframe()),
                     )
             elif dtype != np.int64:
                 # GH#45034
@@ -489,7 +490,7 @@ def astype(self, dtype, copy: bool = True):
                     "exactly the specified dtype instead of int64, and will "
                     "raise if that conversion overflows.",
                     FutureWarning,
-                    stacklevel=find_stack_level(),
+                    stacklevel=find_stack_level(inspect.currentframe()),
                 )
 
             if copy:
@@ -628,7 +629,7 @@ def _validate_shift_value(self, fill_value):
                 FutureWarning,
                 # There is no way to hard-code the level since this might be
                 #  reached directly or called from the Index or Block method
-                stacklevel=find_stack_level(),
+                stacklevel=find_stack_level(inspect.currentframe()),
             )
             fill_value = new_fill