Revert "Merge branch 'newfeature' of https://github.com/lfffkh/pandas into newfeature"

This reverts commit a0ca4db, reversing
changes made to 0b7d2a0.

Author: lfffkh

.pre-commit-config.yaml

@@ -2,9 +2,9 @@ minimum_pre_commit_version: 2.15.0
 exclude: ^LICENSES/|\.(html|csv|svg)$
 # reserve "manual" for relatively slow hooks which we still want to run in CI
 default_stages: [
-    pre-commit,
-    pre-merge-commit,
-    pre-push,
+    commit,
+    merge-commit,
+    push,
     prepare-commit-msg,
     commit-msg,
     post-checkout,

ci/code_checks.sh

@@ -140,6 +140,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.errors.OutOfBoundsTimedelta SA01" \
         -i "pandas.errors.PerformanceWarning SA01" \
         -i "pandas.errors.PossibleDataLossError SA01" \
+        -i "pandas.errors.PossiblePrecisionLoss SA01" \
         -i "pandas.errors.UndefinedVariableError PR01,SA01" \
         -i "pandas.errors.UnsortedIndexError SA01" \
         -i "pandas.errors.UnsupportedFunctionCall SA01" \

pandas/core/strings/accessor.py

@@ -255,9 +255,7 @@ def _validate(data):
         inferred_dtype = lib.infer_dtype(values, skipna=True)
 
         if inferred_dtype not in allowed_types:
-            raise AttributeError(
-                f"Can only use .str accessor with string values, not {inferred_dtype}"
-            )
+            raise AttributeError("Can only use .str accessor with string values!")
         return inferred_dtype
 
     def __getitem__(self, key):

pandas/errors/__init__.py

@@ -691,10 +691,6 @@ class PossiblePrecisionLoss(Warning):
     When the column value is outside or equal to the int64 value the column is
     converted to a float64 dtype.
 
-    See Also
-    --------
-    DataFrame.to_stata : Export DataFrame object to Stata dta format.
-
     Examples
     --------
     >>> df = pd.DataFrame({"s": pd.Series([1, 2**53], dtype=np.int64)})

pandas/tests/series/accessors/test_str_accessor.py

@@ -15,8 +15,7 @@ def test_str_attribute(self):
 
         # str accessor only valid with string values
         ser = Series(range(5))
-        msg = "Can only use .str accessor with string values, not integer"
-        with pytest.raises(AttributeError, match=msg):
+        with pytest.raises(AttributeError, match="only use .str accessor"):
             ser.str.repeat(2)
 
     def test_str_accessor_updates_on_inplace(self):