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Convert a scientific notation to decimal number, and still keeping the data format as float64


On 10/18/19 4:35 AM, doganadres at gmail.com wrote:
> Here is my question:
>
>
> I am using the numpy.std formula to calculate the standart deviation. However, the result comes as a number in scientific notation.
> Therefore I am asking, How to convert a scientific notation to decimal number, and still keep the data format as float64 ?
>
> Or is there any workaround to get the initial standart deviation result as a decimal number?
>
>
> Here is my code:
>
> stdev=numpy.std(dataset)
> print(stdev)
>     Result: 4.999999999999449e-05
>
>
> print(stdev.dtype)
>     Result: float64
>
>
> Solutions such as this:
>
> stdev=format(stdev, '.10f')
> converts the data into a string object! which I don't want.
>
>
> Expected result: I am willing to have a result as a decimal number in a float64 format.
>
> System: (Python 3.7.4 running on Win10)
>
>
> Regards, 

The number itself isn't in scientific notation or a fixed point number,
but is a floating point number that is expressed internally as an
integer times a power of 2 (that is the basic representation format for
floating point).

Scientific notation vs fixed point notation is purely an OUTPUT
configuration, not a function on how the number is stored (so in one
sense IS more closely linked to a string than the float itself).

-- 
Richard Damon