比较包含 NaN 的列表
Comparing lists containing NaNs
我正在尝试比较两个不同的列表以查看它们是否相等,并且打算删除 NaN,结果发现我的列表比较仍然有效,尽管 NaN == NaN -> False
。
有人可以解释为什么以下评估 True
或 False
,因为我发现此行为出乎意料。谢谢,
我已阅读以下内容,但似乎无法解决问题:
- Why in numpy
nan == nan
is False while nan in [nan] is True?
- Why is NaN not equal to NaN? [duplicate]
(Python 2.7.3, numpy-1.9.2)
我在最后用*
标记了令人惊讶的评价
>>> nan = np.nan
>>> [1,2,3]==[3]
False
>>> [1,2,3]==[1,2,3]
True
>>> [1,2,nan]==[1,2,nan]
True ***
>>> nan == nan
False
>>> [nan] == [nan]
True ***
>>> [nan, nan] == [nan for i in range(2)]
True ***
>>> [nan, nan] == [float(nan) for i in range(2)]
True ***
>>> float(nan) is (float(nan) + 1)
False
>>> float(nan) is float(nan)
True ***
要了解这里发生了什么,只需将 nan = np.nan
替换为 foo = float('nan')
,您将得到完全相同的结果,为什么?
>>> foo = float('nan')
>>> foo is foo # This is obviously True!
True
>>> foo == foo # This is False per the standard (nan != nan).
False
>>> bar = float('nan') # foo and bar are two different objects.
>>> foo is bar
False
>>> foo is float(foo) # "Tricky", but float(x) is x if type(x) == float.
True
现在认为 numpy.nan
只是一个包含 float('nan')
的变量名。
现在为什么 [nan] == [nan]
只是因为 list
比较首先测试项目之间的身份相等,然后再进行值相等,将其视为:
def equals(l1, l2):
for u, v in zip(l1, l2):
if u is not v and u != v:
return False
return True
我正在尝试比较两个不同的列表以查看它们是否相等,并且打算删除 NaN,结果发现我的列表比较仍然有效,尽管 NaN == NaN -> False
。
有人可以解释为什么以下评估 True
或 False
,因为我发现此行为出乎意料。谢谢,
我已阅读以下内容,但似乎无法解决问题:
- Why in numpy
nan == nan
is False while nan in [nan] is True? - Why is NaN not equal to NaN? [duplicate]
(Python 2.7.3, numpy-1.9.2)
我在最后用*
标记了令人惊讶的评价
>>> nan = np.nan
>>> [1,2,3]==[3]
False
>>> [1,2,3]==[1,2,3]
True
>>> [1,2,nan]==[1,2,nan]
True ***
>>> nan == nan
False
>>> [nan] == [nan]
True ***
>>> [nan, nan] == [nan for i in range(2)]
True ***
>>> [nan, nan] == [float(nan) for i in range(2)]
True ***
>>> float(nan) is (float(nan) + 1)
False
>>> float(nan) is float(nan)
True ***
要了解这里发生了什么,只需将 nan = np.nan
替换为 foo = float('nan')
,您将得到完全相同的结果,为什么?
>>> foo = float('nan')
>>> foo is foo # This is obviously True!
True
>>> foo == foo # This is False per the standard (nan != nan).
False
>>> bar = float('nan') # foo and bar are two different objects.
>>> foo is bar
False
>>> foo is float(foo) # "Tricky", but float(x) is x if type(x) == float.
True
现在认为 numpy.nan
只是一个包含 float('nan')
的变量名。
现在为什么 [nan] == [nan]
只是因为 list
比较首先测试项目之间的身份相等,然后再进行值相等,将其视为:
def equals(l1, l2):
for u, v in zip(l1, l2):
if u is not v and u != v:
return False
return True