用eval转换为字符串时报错: File"test.py", line 43,ind1 data=eval(infile.readline()) File"<string>", line 1,in<module>NameError: name'nan'isnotdefined 解决: globals ={'nan': 0 }#-----------data = eval(infile.readline(), globals) 参考资料: Python中,用eval强制将字符串转换为字典变量时候出错:NameError: name ...
False >>res=float('NaN') False >>> isNaN(res) Traceback (most recent call last): File"<stdin>", line1,in<module> NameError: name'isNaN'isnotdefined 天哪!这个nan到底是什么类型! 最后突然想到了py自带的math库下面好像有一个判断nan的函数——isnan,抱着必死的心态,试了试: >>frommathimpo...
None作为python原生的空值其实还符合直观感受,坑点主要是np.nan,就很反人类,它作为一个浮点数float,却不是一个数,所以它不大于,不小于,不等于任何一个数(包括它本身),由于它不等于0,所以bool(np.nan)是True,所以判断需要用np.isnan()或者notnan,np.nan是对nan对象的引用,所以id都是一样的,np.nan is np...
Python3.8.10(tags/v3.8.10:3d8993a,May32021,11:48:03)[MSCv.192864bit(AMD64)]on win32 Type"help","copyright","credits"or"license"formore information.>>>print(age)Traceback(most recent call last):File"<stdin>",line1,in<module>NameError:name'age'is not defined>>> 如你所看到的信息,...
'isnan', 'isqrt', 'lcm', 'ldexp', 'lgamma', 'log', 'log10', 'log1p', 'log2', 'modf', 'nan', 'nextafter', 'perm', 'pi', 'pow', 'prod', 'radians', 'remainder', 'sin', 'sinh', 'sqrt', 'tan', 'tanh',
NaN 1 4.0 1 1.0 1 dtype: int64 ''' 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 5.升序 s.value_counts(ascending=True) ''' 4.0 1 1.0 1 3.0 2 2.0 2 dtype: int64 ''' 1. 2. 3. 4. 5. 6. 7. 8. 三、counts函数 1.使用语法 ...
def dumps(obj, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False, **kw): """Serialize ``obj`` to a JSON formatted ``str``. If ``skipkeys`` is true then ``dict`` keys that are n...
Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly Cancel Create saved search Sign in Sign up Appearance settings Reseting focus {{ message }} cucy / pyspark_project Public ...
张三正在睡觉,性别为nan 21 2. 类的属性 ①类变量:类变量在整个实例化的对象中是公用的。② 类...
allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False, **kw):"""Serialize ``obj`` to a JSON formatted ``str``. If ``skipkeys`` is true then ``dict`` keys that are not basic types (``str``, ``int``, ``float``, ``bool``, ``None``) ...