本文整理匯總了Python中pandas.errors.UnsupportedFunctionCall方法的典型用法代碼示例。如果您正苦於以下問題：Python errors.UnsupportedFunctionCall方法的具體用法？Python errors.UnsupportedFunctionCall怎麽用？Python errors.UnsupportedFunctionCall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.errors的用法示例。
在下文中一共展示了errors.UnsupportedFunctionCall方法的11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: validate_groupby_func
# 需要導入模塊: from pandas import errors [as 別名]
# 或者: from pandas.errors import UnsupportedFunctionCall [as 別名]
def validate_groupby_func(name, args, kwargs, allowed=None):
"""
'args' and 'kwargs' should be empty, except for allowed
kwargs because all of
their necessary parameters are explicitly listed in
the function signature
"""
if allowed is None:
allowed = []
kwargs = set(kwargs) - set(allowed)
if len(args) + len(kwargs) > 0:
raise UnsupportedFunctionCall((
"numpy operations are not valid "
"with groupby. Use .groupby(...)."
"{func}() instead".format(func=name))) 示例2: test_numpy_compat
# 需要導入模塊: from pandas import errors [as 別名]
# 或者: from pandas.errors import UnsupportedFunctionCall [as 別名]
def test_numpy_compat(self, method):
# see gh-12811
e = rwindow.EWM(Series([2, 4, 6]), alpha=0.5)
msg = "numpy operations are not valid with window objects"
with pytest.raises(UnsupportedFunctionCall, match=msg):
getattr(e, method)(1, 2, 3)
with pytest.raises(UnsupportedFunctionCall, match=msg):
getattr(e, method)(dtype=np.float64)
# gh-12373 : rolling functions error on float32 data
# make sure rolling functions works for different dtypes
#
# NOTE that these are yielded tests and so _create_data
# is explicitly called.
#
# further note that we are only checking rolling for fully dtype
# compliance (though both expanding and ewm inherit) 示例3: test_numpy_compat
# 需要導入模塊: from pandas import errors [as 別名]
# 或者: from pandas.errors import UnsupportedFunctionCall [as 別名]
def test_numpy_compat(self, method):
# see gh-12811
e = rwindow.EWM(Series([2, 4, 6]), alpha=0.5)
msg = "numpy operations are not valid with window objects"
tm.assert_raises_regex(UnsupportedFunctionCall, msg,
getattr(e, method), 1, 2, 3)
tm.assert_raises_regex(UnsupportedFunctionCall, msg,
getattr(e, method), dtype=np.float64)
# gh-12373 : rolling functions error on float32 data
# make sure rolling functions works for different dtypes
#
# NOTE that these are yielded tests and so _create_data
# is explicitly called.
#
# further note that we are only checking rolling for fully dtype
# compliance (though both expanding and ewm inherit) 示例4: validate_window_func
# 需要導入模塊: from pandas import errors [as 別名]
# 或者: from pandas.errors import UnsupportedFunctionCall [as 別名]
def validate_window_func(name, args, kwargs):
numpy_args = ('axis', 'dtype', 'out')
msg = ("numpy operations are not "
"valid with window objects. "
"Use .{func}() directly instead ".format(func=name))
if len(args) > 0:
raise UnsupportedFunctionCall(msg)
for arg in numpy_args:
if arg in kwargs:
raise UnsupportedFunctionCall(msg) 示例5: validate_rolling_func
# 需要導入模塊: from pandas import errors [as 別名]
# 或者: from pandas.errors import UnsupportedFunctionCall [as 別名]
def validate_rolling_func(name, args, kwargs):
numpy_args = ('axis', 'dtype', 'out')
msg = ("numpy operations are not "
"valid with window objects. "
"Use .rolling(...).{func}() instead ".format(func=name))
if len(args) > 0:
raise UnsupportedFunctionCall(msg)
for arg in numpy_args:
if arg in kwargs:
raise UnsupportedFunctionCall(msg) 示例6: validate_expanding_func
# 需要導入模塊: from pandas import errors [as 別名]
# 或者: from pandas.errors import UnsupportedFunctionCall [as 別名]
def validate_expanding_func(name, args, kwargs):
numpy_args = ('axis', 'dtype', 'out')
msg = ("numpy operations are not "
"valid with window objects. "
"Use .expanding(...).{func}() instead ".format(func=name))
if len(args) > 0:
raise UnsupportedFunctionCall(msg)
for arg in numpy_args:
if arg in kwargs:
raise UnsupportedFunctionCall(msg) 示例7: validate_resampler_func
# 需要導入模塊: from pandas import errors [as 別名]
# 或者: from pandas.errors import UnsupportedFunctionCall [as 別名]
def validate_resampler_func(method, args, kwargs):
"""
'args' and 'kwargs' should be empty because all of
their necessary parameters are explicitly listed in
the function signature
"""
if len(args) + len(kwargs) > 0:
if method in RESAMPLER_NUMPY_OPS:
raise UnsupportedFunctionCall((
"numpy operations are not valid "
"with resample. Use .resample(...)."
"{func}() instead".format(func=method)))
else:
raise TypeError("too many arguments passed in") 示例8: test_numpy_compat
# 需要導入模塊: from pandas import errors [as 別名]
# 或者: from pandas.errors import UnsupportedFunctionCall [as 別名]
def test_numpy_compat(func):
# see gh-12811
df = pd.DataFrame({'A': [1, 2, 1], 'B': [1, 2, 3]})
g = df.groupby('A')
msg = "numpy operations are not valid with groupby"
with pytest.raises(UnsupportedFunctionCall, match=msg):
getattr(g, func)(1, 2, 3)
with pytest.raises(UnsupportedFunctionCall, match=msg):
getattr(g, func)(foo=1) 示例9: test_numpy_compat
# 需要導入模塊: from pandas import errors [as 別名]
# 或者: from pandas.errors import UnsupportedFunctionCall [as 別名]
def test_numpy_compat(func):
# see gh-12811
s = Series([1, 2, 3, 4, 5], index=date_range(
'20130101', periods=5, freq='s'))
r = s.resample('2s')
msg = "numpy operations are not valid with resample"
with pytest.raises(UnsupportedFunctionCall, match=msg):
getattr(r, func)(func, 1, 2, 3)
with pytest.raises(UnsupportedFunctionCall, match=msg):
getattr(r, func)(axis=1) 示例10: test_numpy_compat
# 需要導入模塊: from pandas import errors [as 別名]
# 或者: from pandas.errors import UnsupportedFunctionCall [as 別名]
def test_numpy_compat(self):
# see gh-12811
s = Series([1, 2, 3, 4, 5], index=date_range(
'20130101', periods=5, freq='s'))
r = s.resample('2s')
msg = "numpy operations are not valid with resample"
for func in ('min', 'max', 'sum', 'prod',
'mean', 'var', 'std'):
tm.assert_raises_regex(UnsupportedFunctionCall, msg,
getattr(r, func),
func, 1, 2, 3)
tm.assert_raises_regex(UnsupportedFunctionCall, msg,
getattr(r, func), axis=1) 示例11: test_numpy_compat
# 需要導入模塊: from pandas import errors [as 別名]
# 或者: from pandas.errors import UnsupportedFunctionCall [as 別名]
def test_numpy_compat():
# see gh-12811
df = pd.DataFrame({'A': [1, 2, 1], 'B': [1, 2, 3]})
g = df.groupby('A')
msg = "numpy operations are not valid with groupby"
for func in ('mean', 'var', 'std', 'cumprod', 'cumsum'):
tm.assert_raises_regex(UnsupportedFunctionCall, msg,
getattr(g, func), 1, 2, 3)
tm.assert_raises_regex(UnsupportedFunctionCall, msg,
getattr(g, func), foo=1)