def test_numpy_ufuncs(self):
# test ufuncs of numpy 1.9.2. see:
# http://docs.scipy.org/doc/numpy/reference/ufuncs.html
# some functions are skipped because it may return different result
# for unicode input depending on numpy version
for name, idx in compat.iteritems(self.indices):
for func in [
np.exp, np.exp2, np.expm1, np.log, np.log2, np.log10,
np.log1p, np.sqrt, np.sin, np.cos, np.tan, np.arcsin,
np.arccos, np.arctan, np.sinh, np.cosh, np.tanh,
np.arcsinh, np.arccosh, np.arctanh, np.deg2rad, np.rad2deg
]:
if isinstance(idx, pd.tseries.base.DatetimeIndexOpsMixin):
# raise TypeError or ValueError (PeriodIndex)
# PeriodIndex behavior should be changed in future version
with tm.assertRaises(Exception):
with np.errstate(all='ignore'):
func(idx)
elif isinstance(idx, (Float64Index, Int64Index, UInt64Index)):
# coerces to float (e.g. np.sin)
with np.errstate(all='ignore'):
result = func(idx)
exp = Index(func(idx.values), name=idx.name)
self.assert_index_equal(result, exp)
self.assertIsInstance(result, pd.Float64Index)
else:
# raise AttributeError or TypeError
if len(idx) == 0:
continue
else:
with tm.assertRaises(Exception):
with np.errstate(all='ignore'):
func(idx)
for func in [np.isfinite, np.isinf, np.isnan, np.signbit]:
if isinstance(idx, pd.tseries.base.DatetimeIndexOpsMixin):
# raise TypeError or ValueError (PeriodIndex)
with tm.assertRaises(Exception):
func(idx)
elif isinstance(idx, (Float64Index, Int64Index, UInt64Index)):
# results in bool array
result = func(idx)
exp = func(idx.values)
self.assertIsInstance(result, np.ndarray)
tm.assertNotIsInstance(result, Index)
else:
if len(idx) == 0:
continue
else:
with tm.assertRaises(Exception):
func(idx)
def test_numpy_ufuncs(self):
# test ufuncs of numpy 1.9.2. see:
# http://docs.scipy.org/doc/numpy/reference/ufuncs.html
# some functions are skipped because it may return different result
# for unicode input depending on numpy version
for name, idx in compat.iteritems(self.indices):
for func in [np.exp, np.exp2, np.expm1, np.log, np.log2, np.log10,
np.log1p, np.sqrt, np.sin, np.cos, np.tan, np.arcsin,
np.arccos, np.arctan, np.sinh, np.cosh, np.tanh,
np.arcsinh, np.arccosh, np.arctanh, np.deg2rad,
np.rad2deg]:
if isinstance(idx, pd.tseries.base.DatetimeIndexOpsMixin):
# raise TypeError or ValueError (PeriodIndex)
# PeriodIndex behavior should be changed in future version
with tm.assertRaises(Exception):
with np.errstate(all='ignore'):
func(idx)
elif isinstance(idx, (Float64Index, Int64Index, UInt64Index)):
# coerces to float (e.g. np.sin)
with np.errstate(all='ignore'):
result = func(idx)
exp = Index(func(idx.values), name=idx.name)
self.assert_index_equal(result, exp)
self.assertIsInstance(result, pd.Float64Index)
else:
# raise AttributeError or TypeError
if len(idx) == 0:
continue
else:
with tm.assertRaises(Exception):
with np.errstate(all='ignore'):
func(idx)
for func in [np.isfinite, np.isinf, np.isnan, np.signbit]:
if isinstance(idx, pd.tseries.base.DatetimeIndexOpsMixin):
# raise TypeError or ValueError (PeriodIndex)
with tm.assertRaises(Exception):
func(idx)
elif isinstance(idx, (Float64Index, Int64Index, UInt64Index)):
# results in bool array
result = func(idx)
exp = func(idx.values)
self.assertIsInstance(result, np.ndarray)
tm.assertNotIsInstance(result, Index)
else:
if len(idx) == 0:
continue
else:
with tm.assertRaises(Exception):
func(idx)
def test_notisinstance(self):
expected = "Input must not be type "
with assertRaisesRegexp(AssertionError, expected):
tm.assertNotIsInstance(pd.Series([1]), pd.Series)
def test_notisinstance(self):
expected = "Input must not be type "
with assertRaisesRegexp(AssertionError, expected):
tm.assertNotIsInstance(pd.Series([1]), pd.Series)
