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)
test_pivot.py 文件源码
python
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