python DMatrix now accepts pandas DataFrame
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@@ -97,6 +97,27 @@ class TestBasic(unittest.TestCase):
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dm = xgb.DMatrix(dummy, feature_names=list('abcde'))
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self.assertRaises(ValueError, bst.predict, dm)
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def test_pandas(self):
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import pandas as pd
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df = pd.DataFrame([[1, 2., True], [2, 3., False]], columns=['a', 'b', 'c'])
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dm = xgb.DMatrix(df, label=pd.Series([1, 2]))
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assert dm.feature_names == ['a', 'b', 'c']
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assert dm.feature_types == ['int', 'q', 'i']
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assert dm.num_row() == 2
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assert dm.num_col() == 3
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# overwrite feature_names and feature_types
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dm = xgb.DMatrix(df, label=pd.Series([1, 2]),
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feature_names=['x', 'y', 'z'], feature_types=['q', 'q', 'q'])
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assert dm.feature_names == ['x', 'y', 'z']
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assert dm.feature_types == ['q', 'q', 'q']
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assert dm.num_row() == 2
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assert dm.num_col() == 3
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# incorrect dtypes
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df = pd.DataFrame([[1, 2., 'x'], [2, 3., 'y']], columns=['a', 'b', 'c'])
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self.assertRaises(ValueError, xgb.DMatrix, df)
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def test_load_file_invalid(self):
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self.assertRaises(ValueError, xgb.Booster,
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