1.None和nan表达的含义

import numpy as np
from numpy import NaN
>>> print(type(None))
<class 'NoneType'>
>>> print(type(NaN))
<class 'float'>
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2. numpy中去除None和nan数值的方法

>>> import numpy as np
>>> a = np.array([1,2,3,None])
>>> a[a != np.array(None)]
array([1, 2, 3], dtype=object)
>>> from numpy import NaN
>>> b = np.array([1,2,3,NaN])
>>> b[~np.isnan(b)]
array([1., 2., 3.])
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