def test_int_index(self):
from pandas.core.series import Series
arr = np.random.randn(100, 4)
result = lib.reduce(arr, np.sum, labels=Index(np.arange(4)))
expected = arr.sum(0)
assert_almost_equal(result, expected)
result = lib.reduce(arr, np.sum, axis=1, labels=Index(np.arange(100)))
expected = arr.sum(1)
assert_almost_equal(result, expected)
dummy = Series(0., index=np.arange(100))
result = lib.reduce(arr,
np.sum,
dummy=dummy,
labels=Index(np.arange(4)))
expected = arr.sum(0)
assert_almost_equal(result, expected)
dummy = Series(0., index=np.arange(4))
result = lib.reduce(arr,
np.sum,
axis=1,
dummy=dummy,
labels=Index(np.arange(100)))
expected = arr.sum(1)
assert_almost_equal(result, expected)
def test_int_index(self):
from pandas.core.series import Series
arr = np.random.randn(100, 4)
result = lib.reduce(arr, np.sum, labels=Index(np.arange(4)))
expected = arr.sum(0)
assert_almost_equal(result, expected)
result = lib.reduce(arr, np.sum, axis=1, labels=Index(np.arange(100)))
expected = arr.sum(1)
assert_almost_equal(result, expected)
dummy = Series(0., index=np.arange(100))
result = lib.reduce(arr, np.sum, dummy=dummy,
labels=Index(np.arange(4)))
expected = arr.sum(0)
assert_almost_equal(result, expected)
dummy = Series(0., index=np.arange(4))
result = lib.reduce(arr, np.sum, axis=1, dummy=dummy,
labels=Index(np.arange(100)))
expected = arr.sum(1)
assert_almost_equal(result, expected)
result = lib.reduce(arr, np.sum, axis=1, dummy=dummy,
labels=Index(np.arange(100)))
assert_almost_equal(result, expected)
