[英]How to make the code accept both int and float type values as double type? - Python
I have dataset which have mixed values, in which few values are float(eg 3.4) and few are int (eg 3.0).我有具有混合值的数据集,其中很少有值是浮点数(例如 3.4),很少是整数(例如 3.0)。 I want to check if all the values are double.
我想检查所有值是否都是双倍的。 I want that if the values are either int or float, they are accepted as double datatype.
我希望如果值是 int 或 float,它们被接受为 double 数据类型。
I tried doing:我试着做:
data = [3.0, 3.4, 3.2, 3.0, 3.1]
for valuedata in data:
is_double = isinstance(valuedata, float)
print(is_double)
The result is coming out to be FALSE, where as i want that int and float both should be accepted as double.结果是 FALSE,因为我希望 int 和 float 都应该被接受为 double。
Thanks谢谢
You can see if it's an instance of numbers.Number.你可以看看它是否是numbers.Number的一个实例。
>>> import numbers
>>> isinstance(1.1, numbers.Number)
True
>>> isinstance(1, numbers.Number)
True
>>>
You can check for multiple allowed types by passing a tuple to isinstance()
:您可以通过将元组传递给
isinstance()
来检查多个允许的类型:
is_double = isinstance(valuedata, (int, float))
Also note that Python's int
has unlimited precision, which could be too large to fit into a C/C++ double
.另请注意,Python 的
int
具有无限精度,它可能太大而无法放入 C/C++ double
中。
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