def testSeriesQuantileExecution(self):
raw = pd.Series(np.random.rand(10), name='a')
a = Series(raw, chunk_size=3)
# q = 0.5, scalar
r = a.quantile()
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = raw.quantile()
self.assertEqual(result, expected)
# q is a list
r = a.quantile([0.3, 0.7])
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = raw.quantile([0.3, 0.7])
pd.testing.assert_series_equal(result, expected)
# test interpolation
r = a.quantile([0.3, 0.7], interpolation='midpoint')
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = raw.quantile([0.3, 0.7], interpolation='midpoint')
pd.testing.assert_series_equal(result, expected)
ctx, executor = self._create_test_context(self.executor)
with ctx:
q = tensor([0.3, 0.7])
# q is a tensor
r = a.quantile(q)
result = executor.execute_dataframes([r])[0]
expected = raw.quantile([0.3, 0.7])
pd.testing.assert_series_equal(result, expected)
def test_series_quantile_execution(setup):
raw = pd.Series(np.random.rand(10), name='a')
a = Series(raw, chunk_size=3)
# q = 0.5, scalar
r = a.quantile()
result = r.execute().fetch()
expected = raw.quantile()
assert result == expected
# q is a list
r = a.quantile([0.3, 0.7])
result = r.execute().fetch()
expected = raw.quantile([0.3, 0.7])
pd.testing.assert_series_equal(result, expected)
# test interpolation
r = a.quantile([0.3, 0.7], interpolation='midpoint')
result = r.execute().fetch()
expected = raw.quantile([0.3, 0.7], interpolation='midpoint')
pd.testing.assert_series_equal(result, expected)
q = tensor([0.3, 0.7])
# q is a tensor
r = a.quantile(q)
result = r.execute().fetch()
expected = raw.quantile([0.3, 0.7])
pd.testing.assert_series_equal(result, expected)
def testSeriesQuantileExecution(self):
raw = pd.Series(np.random.rand(10), name='a')
a = Series(raw, chunk_size=3)
# q = 0.5, scalar
r = a.quantile()
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = raw.quantile()
self.assertEqual(result, expected)
# q is a list
r = a.quantile([0.3, 0.7])
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = raw.quantile([0.3, 0.7])
pd.testing.assert_series_equal(result, expected)
# test interpolation
r = a.quantile([0.3, 0.7], interpolation='midpoint')
result = self.executor.execute_dataframe(r, concat=True)[0]
expected = raw.quantile([0.3, 0.7], interpolation='midpoint')
pd.testing.assert_series_equal(result, expected)
this = self
class MockSession:
def __init__(self):
self.executor = this.executor
ctx = LocalContext(MockSession())
executor = ExecutorForTest('numpy', storage=ctx)
with ctx:
q = tensor([0.3, 0.7])
# q is a tensor
r = a.quantile(q)
result = executor.execute_dataframes([r])[0]
expected = raw.quantile([0.3, 0.7])
pd.testing.assert_series_equal(result, expected)