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% precision does not work in certain cases in jupyter notebook
This is something i am learning using the jupyter notebook.
If i execute the magic command as follows, pi will be up to the decimal point 3.
The calculation result of numpy is a situation where the notation of the decimal point does not change.
Could you tell me how to solve it?
[in1]
import numpy as np
from math import pi
[in2]
% precision 3
[out2]
'% .3f'
[in3]
pi
[out3]
3.142
[in4]
scores = np.array ([30, 40, 100])
std = np.sqrt (np.var (scores, ddof = 0))
std
[out4]
30.912061651652348
np.set_printoptions (precision = 3)
I tried the above but did not improve it.
Versionpython 3.7.3
jupyter 1.0.0
numpy 1.16.4

Answer # 1
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https://github.com/numpy/numpy/issues/11048
It seems similar to what is discussed inThere is a link from https://github.com/numpy/numpy/pull/9201#issuecomment332609336 ↑.
.
Whenstr
orrepr
function is applied tonumpy.float64, the result should behave in the same way as the builtin Python float type Since it seems to be based on a philosophy, I don't think there is any means (you can only format it yourself).
(Added)
I had to find out if there was a way to write numpy.float64 for jupyter.
Please forgive me for half the answer.