Precommit done

pandas/core/series.py

@@ -25,7 +25,6 @@
 import warnings
 
 import numpy as np
-import numba
 
 from pandas._libs import (
     lib,
@@ -5424,14 +5423,14 @@ def isnull(self) -> Series:
         """
         return super().isnull()
 
-    def isconstant(self, dropna = False):
+    def isconstant(self, dropna=False):
         """
         Return if the series has constant values.
 
         Parameters
         ----------
         dropna : bool, default False
-        If True, NaN values will be ignored. If False, NaN values will be considered 
+        If True, NaN values will be ignored. If False, NaN values will be considered
         in the determination of whether the series has constant values.
 
         Returns
@@ -5462,7 +5461,7 @@ def isconstant(self, dropna = False):
             v = remove_na_arraylike(v)
         if v.shape[0] == 0 or not notna(v).any():
             return True
-        return (v[0] == v).all()    
+        return (v[0] == v).all()
 
     # error: Cannot determine type of 'notna'
     @doc(NDFrame.notna, klass=_shared_doc_kwargs["klass"])  # type: ignore[has-type]

pandas/tests/series/methods/test_isconstant.py

@@ -1,9 +1,7 @@
 import numpy as np
-import pytest
 
-from pandas import (
-    Series,
-)
+from pandas import Series
+
 
 class TestSeriesIsConstant:
     def test_isconstant(self):
@@ -28,11 +26,11 @@ def test_isconstant_with_nan(self):
         result = s.isconstant()
         assert result
 
-        s = Series([np.nan,np.nan])
+        s = Series([np.nan, np.nan])
         result = s.isconstant()
         assert result
 
-        s = Series([np.nan,1])
+        s = Series([np.nan, 1])
         result = s.isconstant()
         assert not result
 
@@ -45,11 +43,11 @@ def test_isconstant_with_nan_dropna(self):
         result = s.isconstant(True)
         assert result
 
-        s = Series([np.nan,np.nan])
+        s = Series([np.nan, np.nan])
         result = s.isconstant(True)
         assert result
 
-        s = Series([np.nan,1])
+        s = Series([np.nan, 1])
         result = s.isconstant(True)
         assert result
 
@@ -58,10 +56,10 @@ def test_isconstant_with_nan_dropna(self):
         assert result
 
     def test_isconstant_mixed_types(self):
-        s = Series([2, '2', 2])
+        s = Series([2, "2", 2])
         result = s.isconstant()
         assert not result
 
         s = Series([2, 2.0, 2])
         result = s.isconstant()
-        assert result
+        assert result