本文整理匯總了Python中pandas.util.testing._make_skipna_wrapper方法的典型用法代碼示例。如果您正苦於以下問題：Python testing._make_skipna_wrapper方法的具體用法？Python testing._make_skipna_wrapper怎麽用？Python testing._make_skipna_wrapper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.util.testing的用法示例。
在下文中一共展示了testing._make_skipna_wrapper方法的2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: _check_stat_op
# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import _make_skipna_wrapper [as 別名]
def _check_stat_op(self, name, alternative, obj=None, has_skipna=True,
skipna_alternative=None):
if obj is None:
obj = self.panel
# # set some NAs
# obj.loc[5:10] = np.nan
# obj.loc[15:20, -2:] = np.nan
f = getattr(obj, name)
if has_skipna:
skipna_wrapper = tm._make_skipna_wrapper(alternative,
skipna_alternative)
def wrapper(x):
return alternative(np.asarray(x))
for i in range(obj.ndim):
result = f(axis=i, skipna=False)
assert_frame_equal(result, obj.apply(wrapper, axis=i))
else:
skipna_wrapper = alternative
wrapper = alternative
for i in range(obj.ndim):
result = f(axis=i)
if name in ['sum', 'prod']:
assert_frame_equal(result, obj.apply(skipna_wrapper, axis=i))
pytest.raises(Exception, f, axis=obj.ndim)
# Unimplemented numeric_only parameter.
if 'numeric_only' in signature(f).args:
with pytest.raises(NotImplementedError, match=name):
f(numeric_only=True) 示例2: _check_stat_op
# 需要導入模塊: from pandas.util import testing [as 別名]
# 或者: from pandas.util.testing import _make_skipna_wrapper [as 別名]
def _check_stat_op(self, name, alternative, obj=None, has_skipna=True,
skipna_alternative=None):
if obj is None:
obj = self.panel
# # set some NAs
# obj.loc[5:10] = np.nan
# obj.loc[15:20, -2:] = np.nan
f = getattr(obj, name)
if has_skipna:
skipna_wrapper = tm._make_skipna_wrapper(alternative,
skipna_alternative)
def wrapper(x):
return alternative(np.asarray(x))
for i in range(obj.ndim):
result = f(axis=i, skipna=False)
assert_frame_equal(result, obj.apply(wrapper, axis=i))
else:
skipna_wrapper = alternative
wrapper = alternative
for i in range(obj.ndim):
result = f(axis=i)
if name in ['sum', 'prod']:
assert_frame_equal(result, obj.apply(skipna_wrapper, axis=i))
pytest.raises(Exception, f, axis=obj.ndim)
# Unimplemented numeric_only parameter.
if 'numeric_only' in signature(f).args:
tm.assert_raises_regex(NotImplementedError, name, f,
numeric_only=True)