本文整理匯總了Python中pandas.core.nanops.nanskew方法的典型用法代碼示例。如果您正苦於以下問題：Python nanops.nanskew方法的具體用法？Python nanops.nanskew怎麽用？Python nanops.nanskew使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pandas.core.nanops的用法示例。
在下文中一共展示了nanops.nanskew方法的8個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_nanskew
# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nanskew [as 別名]
def test_nanskew(self):
from scipy.stats import skew
func = partial(self._skew_kurt_wrap, func=skew)
with np.errstate(invalid='ignore'):
self.check_funs(nanops.nanskew, func, allow_complex=False,
allow_str=False, allow_date=False,
allow_tdelta=False) 示例2: test_constant_series
# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nanskew [as 別名]
def test_constant_series(self):
# xref GH 11974
for val in [3075.2, 3075.3, 3075.5]:
data = val * np.ones(300)
skew = nanops.nanskew(data)
assert skew == 0.0 示例3: test_all_finite
# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nanskew [as 別名]
def test_all_finite(self):
alpha, beta = 0.3, 0.1
left_tailed = self.prng.beta(alpha, beta, size=100)
assert nanops.nanskew(left_tailed) < 0
alpha, beta = 0.1, 0.3
right_tailed = self.prng.beta(alpha, beta, size=100)
assert nanops.nanskew(right_tailed) > 0 示例4: test_ground_truth
# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nanskew [as 別名]
def test_ground_truth(self):
skew = nanops.nanskew(self.samples)
tm.assert_almost_equal(skew, self.actual_skew) 示例5: test_axis
# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nanskew [as 別名]
def test_axis(self):
samples = np.vstack([self.samples,
np.nan * np.ones(len(self.samples))])
skew = nanops.nanskew(samples, axis=1)
tm.assert_almost_equal(skew, np.array([self.actual_skew, np.nan])) 示例6: test_nans_skipna
# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nanskew [as 別名]
def test_nans_skipna(self):
samples = np.hstack([self.samples, np.nan])
skew = nanops.nanskew(samples, skipna=True)
tm.assert_almost_equal(skew, self.actual_skew) 示例7: skew
# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nanskew [as 別名]
def skew(self, axis=None, dtype=None, out=None, keepdims=False,
skipna=True):
nv.validate_stat_ddof_func((), dict(dtype=dtype, out=out,
keepdims=keepdims),
fname='skew')
return nanops.nanskew(self._ndarray, axis=axis, skipna=skipna)
# ------------------------------------------------------------------------
# Additional Methods 示例8: test_nanskew
# 需要導入模塊: from pandas.core import nanops [as 別名]
# 或者: from pandas.core.nanops import nanskew [as 別名]
def test_nanskew(self):
tm.skip_if_no_package('scipy', min_version='0.17.0')
from scipy.stats import skew
func = partial(self._skew_kurt_wrap, func=skew)
with np.errstate(invalid='ignore'):
self.check_funs(nanops.nanskew, func, allow_complex=False,
allow_str=False, allow_date=False,
allow_tdelta=False)