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

[Gys]

On 10/18/19 10:35 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,
> 

Hi, doganadres at gmail.com

why don't you use

print("{0:10.5f}".format(x))

The only thing you want is a specific form of the human readable 
representation of the number. For this it is not necessary the convert 
the  *number* itself definitely to a string. You only have to make a 
temp copy of x for printing purposes.

Linux Mint Tara in Spyder(Python 3.6) :

x=4.999999999999449e-05

print(x)
4.999999999999449e-05

print("{0:8.5f}".format(x))
  0.00005

print(x)
4.999999999999449e-05

hth
Gys