def testit():
for f, f2 in [(self.frame, self.frame2),
(self.mixed, self.mixed2)]:
f11 = f
f12 = f + 1
f21 = f2
f22 = f2 + 1
for op, op_str in [('gt', '>'), ('lt', '<'), ('ge', '>='),
('le', '<='), ('eq', '=='), ('ne', '!=')]:
op = getattr(operator, op)
result = expr._can_use_numexpr(op, op_str, f11, f12,
'evaluate')
self.assertNotEqual(result, f11._is_mixed_type)
result = expr.evaluate(op, op_str, f11, f12,
use_numexpr=True)
expected = expr.evaluate(op, op_str, f11, f12,
use_numexpr=False)
if isinstance(result, DataFrame):
tm.assert_frame_equal(result, expected)
else:
tm.assert_numpy_array_equal(result, expected.values)
result = expr._can_use_numexpr(op, op_str, f21, f22,
'evaluate')
self.assertFalse(result)
def testit():
for f, f2 in [(self.frame, self.frame2),
(self.mixed, self.mixed2)]:
f11 = f
f12 = f + 1
f21 = f2
f22 = f2 + 1
for op, op_str in [('gt', '>'), ('lt', '<'), ('ge', '>='),
('le', '<='), ('eq', '=='), ('ne', '!=')]:
op = getattr(operator, op)
result = expr._can_use_numexpr(op, op_str, f11, f12,
'evaluate')
self.assertNotEqual(result, f11._is_mixed_type)
result = expr.evaluate(op, op_str, f11, f12,
use_numexpr=True)
expected = expr.evaluate(op, op_str, f11, f12,
use_numexpr=False)
tm.assert_numpy_array_equal(result, expected.values)
result = expr._can_use_numexpr(op, op_str, f21, f22,
'evaluate')
self.assertFalse(result)
def testit():
for f, f2 in [(self.frame, self.frame2),
(self.mixed, self.mixed2)]:
for op, op_str in [('add', '+'), ('sub', '-'), ('mul', '*'),
('div', '/'), ('pow', '**')]:
if op == 'div':
op = getattr(operator, 'truediv', None)
else:
op = getattr(operator, op, None)
if op is not None:
result = expr._can_use_numexpr(op, op_str, f, f,
'evaluate')
self.assertNotEqual(result, f._is_mixed_type)
result = expr.evaluate(op, op_str, f, f,
use_numexpr=True)
expected = expr.evaluate(op, op_str, f, f,
use_numexpr=False)
if isinstance(result, DataFrame):
tm.assert_frame_equal(result, expected)
else:
tm.assert_numpy_array_equal(result,
expected.values)
result = expr._can_use_numexpr(op, op_str, f2, f2,
'evaluate')
self.assertFalse(result)
def testit():
for f, f2 in [(self.frame, self.frame2),
(self.mixed, self.mixed2)]:
f11 = f
f12 = f + 1
f21 = f2
f22 = f2 + 1
for op, op_str in [('gt', '>'), ('lt', '<'), ('ge', '>='),
('le', '<='), ('eq', '=='), ('ne', '!=')]:
op = getattr(operator, op)
result = expr._can_use_numexpr(op, op_str, f11, f12,
'evaluate')
self.assert_(result == (not f11._is_mixed_type))
result = expr.evaluate(op,
op_str,
f11,
f12,
use_numexpr=True)
expected = expr.evaluate(op,
op_str,
f11,
f12,
use_numexpr=False)
assert_array_equal(result, expected.values)
result = expr._can_use_numexpr(op, op_str, f21, f22,
'evaluate')
self.assert_(result == False)
def testit():
for f, f2 in [(self.frame, self.frame2),
(self.mixed, self.mixed2)]:
for op, op_str in [('add', '+'), ('sub', '-'), ('mul', '*'),
('div', '/'), ('pow', '**')]:
if op == 'div':
op = getattr(operator, 'truediv', None)
else:
op = getattr(operator, op, None)
if op is not None:
result = expr._can_use_numexpr(op, op_str, f, f,
'evaluate')
self.assertNotEqual(result, f._is_mixed_type)
result = expr.evaluate(op, op_str, f, f,
use_numexpr=True)
expected = expr.evaluate(op, op_str, f, f,
use_numexpr=False)
tm.assert_numpy_array_equal(result, expected.values)
result = expr._can_use_numexpr(op, op_str, f2, f2,
'evaluate')
self.assertFalse(result)
def testit():
for f, f2 in [(self.frame, self.frame2),
(self.mixed, self.mixed2)]:
for op, op_str in [('add', '+'), ('sub', '-'), ('mul', '*'),
('div', '/'), ('pow', '**')]:
op = getattr(operator, op, None)
if op is not None:
result = expr._can_use_numexpr(op, op_str, f, f,
'evaluate')
self.assert_(result == (not f._is_mixed_type))
result = expr.evaluate(op,
op_str,
f,
f,
use_numexpr=True)
expected = expr.evaluate(op,
op_str,
f,
f,
use_numexpr=False)
assert_array_equal(result, expected.values)
result = expr._can_use_numexpr(op, op_str, f2, f2,
'evaluate')
self.assert_(result == False)
def test_invalid(self):
# no op
result = expr._can_use_numexpr(operator.add, None, self.frame, self.frame, 'evaluate')
self.assertFalse(result)
# mixed
result = expr._can_use_numexpr(operator.add, '+', self.mixed, self.frame, 'evaluate')
self.assertFalse(result)
# min elements
result = expr._can_use_numexpr(operator.add, '+', self.frame2, self.frame2, 'evaluate')
self.assertFalse(result)
# ok, we only check on first part of expression
result = expr._can_use_numexpr(operator.add, '+', self.frame, self.frame2, 'evaluate')
self.assertTrue(result)
def test_invalid(self):
# no op
result = expr._can_use_numexpr(operator.add, None, self.frame, self.frame, 'evaluate')
self.assert_(result == False)
# mixed
result = expr._can_use_numexpr(operator.add, '+', self.mixed, self.frame, 'evaluate')
self.assert_(result == False)
# min elements
result = expr._can_use_numexpr(operator.add, '+', self.frame2, self.frame2, 'evaluate')
self.assert_(result == False)
# ok, we only check on first part of expression
result = expr._can_use_numexpr(operator.add, '+', self.frame, self.frame2, 'evaluate')
self.assert_(result == True)
def testit():
for f, f2 in [(self.frame, self.frame2),
(self.mixed, self.mixed2)]:
for op, op_str in [('add', '+'), ('sub', '-'), ('mul', '*'),
('div', '/'), ('pow', '**')]:
# numpy >= 1.11 doesn't handle integers
# raised to integer powers
# https://github.com/pandas-dev/pandas/issues/15363
if op == 'pow' and not _np_version_under1p11:
continue
if op == 'div':
op = getattr(operator, 'truediv', None)
else:
op = getattr(operator, op, None)
if op is not None:
result = expr._can_use_numexpr(op, op_str, f, f,
'evaluate')
self.assertNotEqual(result, f._is_mixed_type)
result = expr.evaluate(op,
op_str,
f,
f,
use_numexpr=True)
expected = expr.evaluate(op,
op_str,
f,
f,
use_numexpr=False)
if isinstance(result, DataFrame):
tm.assert_frame_equal(result, expected)
else:
tm.assert_numpy_array_equal(
result, expected.values)
result = expr._can_use_numexpr(op, op_str, f2, f2,
'evaluate')
self.assertFalse(result)
def testit():
for f, f2 in [(self.frame, self.frame2),
(self.mixed, self.mixed2)]:
for op, op_str in [('add', '+'), ('sub', '-'), ('mul', '*'),
('div', '/'), ('pow', '**')]:
# numpy >= 1.11 doesn't handle integers
# raised to integer powers
# https://github.com/pandas-dev/pandas/issues/15363
if op == 'pow' and not _np_version_under1p11:
continue
if op == 'div':
op = getattr(operator, 'truediv', None)
else:
op = getattr(operator, op, None)
if op is not None:
result = expr._can_use_numexpr(op, op_str, f, f,
'evaluate')
self.assertNotEqual(result, f._is_mixed_type)
result = expr.evaluate(op, op_str, f, f,
use_numexpr=True)
expected = expr.evaluate(op, op_str, f, f,
use_numexpr=False)
if isinstance(result, DataFrame):
tm.assert_frame_equal(result, expected)
else:
tm.assert_numpy_array_equal(result,
expected.values)
result = expr._can_use_numexpr(op, op_str, f2, f2,
'evaluate')
self.assertFalse(result)
