set minimum version for scikit learn to 1.1.0

noxfile.py

@@ -10,7 +10,7 @@ def lint(session):
 
 @nox.session
 @nox.parametrize('numpy', ['1.18.1', '1.20.1'])
-@nox.parametrize('sklearn', ['1.0', '1.1.2'])
+@nox.parametrize('sklearn', ['1.1.0', '1.1.2'])
 @nox.parametrize('scipy', ['1.6.0'])
 @nox.parametrize('pandas', ['1.2.2'])
 def tests(session, numpy, sklearn, scipy, pandas):

setup.py

@@ -39,7 +39,7 @@ def run(self):
       packages=['sklearn_pandas'],
       keywords=['scikit', 'sklearn', 'pandas'],
       install_requires=[
-          'scikit-learn>=1.0.0',
+          'scikit-learn>=1.1.0',
           'scipy>=1.5.1',
           'pandas>=1.1.4',
           'numpy>=1.19.4'

tests/test_dataframe_mapper.py

@@ -468,8 +468,8 @@ def test_pca(complex_dataframe):
     transformed = mapper.fit_transform(df)
     cols = transformed.columns
     assert len(cols) == 2
-    assert cols[0] == 'feat1_feat2_0'
-    assert cols[1] == 'feat1_feat2_1'
+    assert cols[0] == 'feat1_feat2_pca0'
+    assert cols[1] == 'feat1_feat2_pca1'
 
 
 def test_fit_transform(simple_dataframe):