More cleanup

py-polars/tests/unit/io/test_database.py

@@ -80,10 +80,6 @@ def create_temp_sqlite_db(test_db: str) -> None:
                 "date": pl.Date,
             },
             [date(2020, 1, 1), date(2021, 12, 31)],
-            marks=pytest.mark.skipif(
-                sys.version_info < (3, 8),
-                reason="connectorx not available below Python 3.8",
-            ),
         ),
         pytest.param(
             "adbc",

py-polars/tests/unit/test_df.py

@@ -3714,19 +3714,12 @@ def test_rolling_apply() -> None:
 
 
 def test_ufunc() -> None:
-    # NOTE: unfortunately we must use cast instead of a type: ignore comment
-    #   1. CI job with Python 3.10, numpy==1.23.1 -> mypy complains about arg-type
-    #   2. so we try to resolve it with type: ignore[arg-type]
-    #   3. CI job with Python 3.7, numpy==1.21.6 -> mypy complains about
-    #       unused type: ignore comment
-    # for more information, see: https://github.com/python/mypy/issues/8823
-
     df = pl.DataFrame([pl.Series("a", [1, 2, 3, 4], dtype=pl.UInt8)])
     out = df.select(
         [
-            np.power(cast(Any, pl.col("a")), 2).alias("power_uint8"),
-            np.power(cast(Any, pl.col("a")), 2.0).alias("power_float64"),
-            np.power(cast(Any, pl.col("a")), 2, dtype=np.uint16).alias("power_uint16"),
+            np.power(pl.col("a"), 2).alias("power_uint8"),  # type: ignore[call-overload]
+            np.power(pl.col("a"), 2.0).alias("power_float64"),  # type: ignore[call-overload]
+            np.power(pl.col("a"), 2, dtype=np.uint16).alias("power_uint16"),  # type: ignore[call-overload]
         ]
     )
     expected = pl.DataFrame(

py-polars/tests/unit/test_interchange.py

@@ -1,4 +1,3 @@
-import sys
 from typing import Any
 
 import pandas as pd
@@ -57,10 +56,6 @@ def test_from_dataframe() -> None:
     assert_frame_equal(result, df)
 
 
-@pytest.mark.xfail(
-    sys.version_info < (3, 8),
-    reason="Pandas does not implement the protocol on Python 3.7",
-)
 def test_from_dataframe_pandas() -> None:
     data = {"a": [1, 2], "b": [3.0, 4.0], "c": ["foo", "bar"]}
 
@@ -71,10 +66,6 @@ def test_from_dataframe_pandas() -> None:
     assert_frame_equal(result, expected)
 
 
-@pytest.mark.xfail(
-    sys.version_info < (3, 8),
-    reason="Pandas does not implement the protocol on Python 3.7",
-)
 def test_from_dataframe_allow_copy() -> None:
     # Zero copy only allowed when input is already a Polars dataframe
     df = pl.DataFrame({"a": [1, 2]})