On 10/18/19 10:35 AM, doganad...@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, doganad...@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
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