change wording in the error msg

Author: natmokval

pandas/core/arrays/datetimelike.py

@@ -1662,7 +1662,7 @@ def _groupby_op(
         if dtype.kind == "M":
             # Adding/multiplying datetimes is not valid
             if how in ["any", "all", "sum", "prod", "cumsum", "cumprod", "var", "skew"]:
-                raise TypeError(f"datetime64 type does not support {how} operations")
+                raise TypeError(f"datetime64 type does not support operation: '{how}'")
 
         elif isinstance(dtype, PeriodDtype):
             # Adding/multiplying Periods is not valid

pandas/core/nanops.py

@@ -520,7 +520,7 @@ def nanany(
 
     if values.dtype.kind == "M":
         # GH#34479
-        raise TypeError("datetime64 type does not support any operations")
+        raise TypeError("datetime64 type does not support operation: 'any'")
 
     values, _ = _get_values(values, skipna, fill_value=False, mask=mask)
 
@@ -576,7 +576,7 @@ def nanall(
 
     if values.dtype.kind == "M":
         # GH#34479
-        raise TypeError("datetime64 type does not support all operations")
+        raise TypeError("datetime64 type does not support operation: 'all'")
 
     values, _ = _get_values(values, skipna, fill_value=True, mask=mask)
 

pandas/tests/extension/base/groupby.py

@@ -163,7 +163,7 @@ def test_in_numeric_groupby(self, data_for_grouping):
             msg = "|".join(
                 [
                     # period/datetime
-                    "does not support sum operations",
+                    "does not support operation: 'sum'",
                     # all others
                     re.escape(f"agg function failed [how->sum,dtype->{dtype}"),
                 ]

pandas/tests/extension/test_datetime.py

@@ -104,7 +104,7 @@ def _supports_reduction(self, obj, op_name: str) -> bool:
     @pytest.mark.parametrize("skipna", [True, False])
     def test_reduce_series_boolean(self, data, all_boolean_reductions, skipna):
         meth = all_boolean_reductions
-        msg = f"datetime64 type does not support {meth} operations"
+        msg = f"datetime64 type does not support operation: '{meth}'"
         with pytest.raises(TypeError, match=msg):
             super().test_reduce_series_boolean(data, all_boolean_reductions, skipna)
 

pandas/tests/frame/test_reductions.py

@@ -1382,7 +1382,7 @@ def test_any_datetime(self):
         ]
         df = DataFrame({"A": float_data, "B": datetime_data})
 
-        msg = "datetime64 type does not support any operations"
+        msg = "datetime64 type does not support operation: 'any'"
         with pytest.raises(TypeError, match=msg):
             df.any(axis=1)
 
@@ -1478,7 +1478,7 @@ def test_any_all_np_func(self, func, data, expected):
                 getattr(DataFrame(data), func.__name__)(axis=None)
         if data.dtypes.apply(lambda x: x.kind == "M").any():
             # GH#34479
-            msg = "datetime64 type does not support (any|all) operations"
+            msg = "datetime64 type does not support operation: '(any|all)'"
             with pytest.raises(TypeError, match=msg):
                 func(data)
 

pandas/tests/groupby/test_groupby.py

@@ -674,7 +674,7 @@ def test_raises_on_nuisance(df):
     df = df.loc[:, ["A", "C", "D"]]
     df["E"] = datetime.now()
     grouped = df.groupby("A")
-    msg = "datetime64 type does not support sum operations"
+    msg = "datetime64 type does not support operation: 'sum'"
     with pytest.raises(TypeError, match=msg):
         grouped.agg("sum")
     with pytest.raises(TypeError, match=msg):

pandas/tests/groupby/test_raises.py

@@ -241,16 +241,16 @@ def test_groupby_raises_datetime(
             return
 
     klass, msg = {
-        "all": (TypeError, "datetime64 type does not support all operations"),
-        "any": (TypeError, "datetime64 type does not support any operations"),
+        "all": (TypeError, "datetime64 type does not support operation: 'all'"),
+        "any": (TypeError, "datetime64 type does not support operation: 'any'"),
         "bfill": (None, ""),
         "corrwith": (TypeError, "cannot perform __mul__ with this index type"),
         "count": (None, ""),
         "cumcount": (None, ""),
         "cummax": (None, ""),
         "cummin": (None, ""),
-        "cumprod": (TypeError, "datetime64 type does not support cumprod operations"),
-        "cumsum": (TypeError, "datetime64 type does not support cumsum operations"),
+        "cumprod": (TypeError, "datetime64 type does not support operation: 'cumprod'"),
+        "cumsum": (TypeError, "datetime64 type does not support operation: 'cumsum'"),
         "diff": (None, ""),
         "ffill": (None, ""),
         "fillna": (None, ""),
@@ -265,7 +265,7 @@ def test_groupby_raises_datetime(
         "ngroup": (None, ""),
         "nunique": (None, ""),
         "pct_change": (TypeError, "cannot perform __truediv__ with this index type"),
-        "prod": (TypeError, "datetime64 type does not support prod"),
+        "prod": (TypeError, "datetime64 type does not support operation: 'prod'"),
         "quantile": (None, ""),
         "rank": (None, ""),
         "sem": (None, ""),
@@ -276,13 +276,13 @@ def test_groupby_raises_datetime(
             "|".join(
                 [
                     r"dtype datetime64\[ns\] does not support reduction",
-                    "datetime64 type does not support skew operations",
+                    "datetime64 type does not support operation: 'skew'",
                 ]
             ),
         ),
         "std": (None, ""),
-        "sum": (TypeError, "datetime64 type does not support sum operations"),
-        "var": (TypeError, "datetime64 type does not support var operations"),
+        "sum": (TypeError, "datetime64 type does not support operation: 'sum"),
+        "var": (TypeError, "datetime64 type does not support operation: 'var'"),
     }[groupby_func]
 
     if groupby_func == "fillna":

pandas/tests/reductions/test_reductions.py

@@ -1010,7 +1010,7 @@ def test_any_all_datetimelike(self):
         df = DataFrame(ser)
 
         # GH#34479
-        msg = "datetime64 type does not support (any|all) operations"
+        msg = "datetime64 type does not support operation: '(any|all)'"
         with pytest.raises(TypeError, match=msg):
             dta.all()
         with pytest.raises(TypeError, match=msg):

pandas/tests/resample/test_resample_api.py

@@ -708,7 +708,9 @@ def test_selection_api_validation():
     tm.assert_frame_equal(exp, result)
 
     exp.index.name = "d"
-    with pytest.raises(TypeError, match="datetime64 type does not support sum"):
+    with pytest.raises(
+        TypeError, match="datetime64 type does not support operation: 'sum'"
+    ):
         df.resample("2D", level="d").sum()
     result = df.resample("2D", level="d").sum(numeric_only=True)
     tm.assert_frame_equal(exp, result)