test_pivot.py 文件源码

python
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项目:PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda 作者: SignalMedia 项目源码 文件源码
def test_pivot_dtypes(self):

        # can convert dtypes
        f = DataFrame({'a': ['cat', 'bat', 'cat', 'bat'], 'v': [
                      1, 2, 3, 4], 'i': ['a', 'b', 'a', 'b']})
        self.assertEqual(f.dtypes['v'], 'int64')

        z = pivot_table(f, values='v', index=['a'], columns=[
                        'i'], fill_value=0, aggfunc=np.sum)
        result = z.get_dtype_counts()
        expected = Series(dict(int64=2))
        tm.assert_series_equal(result, expected)

        # cannot convert dtypes
        f = DataFrame({'a': ['cat', 'bat', 'cat', 'bat'], 'v': [
                      1.5, 2.5, 3.5, 4.5], 'i': ['a', 'b', 'a', 'b']})
        self.assertEqual(f.dtypes['v'], 'float64')

        z = pivot_table(f, values='v', index=['a'], columns=[
                        'i'], fill_value=0, aggfunc=np.mean)
        result = z.get_dtype_counts()
        expected = Series(dict(float64=2))
        tm.assert_series_equal(result, expected)
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