CLN: unnecessary warning-catching

pandas/core/arrays/datetimes.py

@@ -621,17 +621,13 @@ def __iter__(self):
             chunksize = 10000
             chunks = (length // chunksize) + 1
 
-            with warnings.catch_warnings():
-                # filter out warnings about Timestamp.freq
-                warnings.filterwarnings("ignore", category=FutureWarning)
-
-                for i in range(chunks):
-                    start_i = i * chunksize
-                    end_i = min((i + 1) * chunksize, length)
-                    converted = ints_to_pydatetime(
-                        data[start_i:end_i], tz=self.tz, freq=self.freq, box="timestamp"
-                    )
-                    yield from converted
+            for i in range(chunks):
+                start_i = i * chunksize
+                end_i = min((i + 1) * chunksize, length)
+                converted = ints_to_pydatetime(
+                    data[start_i:end_i], tz=self.tz, freq=self.freq, box="timestamp"
+                )
+                yield from converted
 
     def astype(self, dtype, copy: bool = True):
         # We handle

pandas/core/frame.py

@@ -9360,17 +9360,17 @@ def round(
         """
         from pandas.core.reshape.concat import concat
 
-        def _dict_round(df, decimals):
+        def _dict_round(df: DataFrame, decimals):
             for col, vals in df.items():
                 try:
                     yield _series_round(vals, decimals[col])
                 except KeyError:
                     yield vals
 
-        def _series_round(s, decimals):
-            if is_integer_dtype(s) or is_float_dtype(s):
-                return s.round(decimals)
-            return s
+        def _series_round(ser: Series, decimals: int):
+            if is_integer_dtype(ser.dtype) or is_float_dtype(ser.dtype):
+                return ser.round(decimals)
+            return ser
 
         nv.validate_round(args, kwargs)
 

pandas/tests/indexes/numeric/test_astype.py

@@ -5,12 +5,12 @@
 
 from pandas.core.dtypes.common import pandas_dtype
 
-from pandas import (
+from pandas import Index
+import pandas._testing as tm
+from pandas.core.indexes.api import (
     Float64Index,
-    Index,
     Int64Index,
 )
-import pandas._testing as tm
 
 
 class TestAstype:

pandas/tests/indexes/numeric/test_indexing.py

@@ -2,15 +2,17 @@
 import pytest
 
 from pandas import (
-    Float64Index,
     Index,
-    Int64Index,
     RangeIndex,
     Series,
     Timestamp,
-    UInt64Index,
 )
 import pandas._testing as tm
+from pandas.core.indexes.api import (
+    Float64Index,
+    Int64Index,
+    UInt64Index,
+)
 
 
 @pytest.fixture

pandas/tests/indexes/numeric/test_join.py

@@ -1,12 +1,12 @@
 import numpy as np
 import pytest
 
-from pandas import (
+import pandas._testing as tm
+from pandas.core.indexes.api import (
     Index,
     Int64Index,
     UInt64Index,
 )
-import pandas._testing as tm
 
 
 class TestJoinInt64Index:

pandas/tests/indexes/numeric/test_numeric.py

@@ -5,14 +5,16 @@
 
 import pandas as pd
 from pandas import (
-    Float64Index,
     Index,
-    Int64Index,
     NumericIndex,
     Series,
-    UInt64Index,
 )
 import pandas._testing as tm
+from pandas.core.indexes.api import (
+    Float64Index,
+    Int64Index,
+    UInt64Index,
+)
 from pandas.tests.indexes.common import NumericBase
 
 

pandas/tests/indexes/numeric/test_setops.py

@@ -6,14 +6,14 @@
 import numpy as np
 import pytest
 
-from pandas import (
+import pandas._testing as tm
+from pandas.core.indexes.api import (
     Float64Index,
     Index,
     Int64Index,
     RangeIndex,
     UInt64Index,
 )
-import pandas._testing as tm
 
 
 @pytest.fixture

pandas/tests/indexes/period/methods/test_astype.py

@@ -5,15 +5,17 @@
     CategoricalIndex,
     DatetimeIndex,
     Index,
-    Int64Index,
     NaT,
     Period,
     PeriodIndex,
     Timedelta,
-    UInt64Index,
     period_range,
 )
 import pandas._testing as tm
+from pandas.core.indexes.api import (
+    Int64Index,
+    UInt64Index,
+)
 
 
 class TestPeriodIndexAsType:

pandas/tests/indexes/ranges/test_join.py

@@ -2,10 +2,10 @@
 
 from pandas import (
     Index,
-    Int64Index,
     RangeIndex,
 )
 import pandas._testing as tm
+from pandas.core.indexes.api import Int64Index
 
 
 class TestJoin:

pandas/tests/indexes/ranges/test_range.py

@@ -4,13 +4,13 @@
 from pandas.core.dtypes.common import ensure_platform_int
 
 import pandas as pd
-from pandas import (
+import pandas._testing as tm
+from pandas.core.indexes.api import (
     Float64Index,
     Index,
     Int64Index,
     RangeIndex,
 )
-import pandas._testing as tm
 from pandas.tests.indexes.common import NumericBase
 
 # aliases to make some tests easier to read

pandas/tests/indexes/ranges/test_setops.py

@@ -6,13 +6,13 @@
 import numpy as np
 import pytest
 
-from pandas import (
+import pandas._testing as tm
+from pandas.core.indexes.api import (
     Index,
     Int64Index,
     RangeIndex,
     UInt64Index,
 )
-import pandas._testing as tm
 
 
 class TestRangeIndexSetOps:

pandas/tests/indexes/timedeltas/test_timedelta.py

@@ -6,14 +6,14 @@
 import pandas as pd
 from pandas import (
     Index,
-    Int64Index,
     NaT,
     Series,
     Timedelta,
     TimedeltaIndex,
     timedelta_range,
 )
 import pandas._testing as tm
+from pandas.core.indexes.api import Int64Index
 from pandas.tests.indexes.datetimelike import DatetimeLike
 
 randn = np.random.randn

pandas/tests/indexing/test_partial.py

@@ -540,9 +540,9 @@ def test_partial_set_empty_frame_empty_consistencies(self):
                 date_range(start="2000", periods=20, freq="D"),
                 ["2000-01-04", "2000-01-08", "2000-01-12"],
                 [
-                    Timestamp("2000-01-04", freq="D"),
-                    Timestamp("2000-01-08", freq="D"),
-                    Timestamp("2000-01-12", freq="D"),
+                    Timestamp("2000-01-04"),
+                    Timestamp("2000-01-08"),
+                    Timestamp("2000-01-12"),
                 ],
             ),
             (