Numpy stdev

# Calculate standard deviaton based on population/sample
import numpy as np
values = [1,5,4,3,3,4]
# as default, std() calculates basesd on a population
# by specifying ddof=1, it calculates based on the sample
np.std(values)				# ==1.247219128924647
np.std(values ,ddof=1)		# ==1.3662601021279464

Source: honingds.com

Std python

import numpy as np
values=[1,10,100]
print(np.std(values))
values=[1,10,100,np.nan]
print(np.nanstd(values))

Similar codes

3 votes214 views2 answers
Python get function docstring
Python
0 vote192 views1 answer
Matplotlib set dpi
Python
10 votes199 views3 answers
Discord.py custom status
Python
95 votes281 views6 answers
How to use a for loop in python
Python
1 vote189 views1 answer
Python list .remove() in for loop breaks
Python
0 vote253 views1 answer
How to config django templates with pathlib
Python Django
1 vote189 views1 answer
Change color of butto in thkinter
Python
1 vote178 views1 answer
Pip install qrcode python
Python
0 vote166 views1 answer
How to serial print line break
Python
0 vote232 views1 answer
Assign elements of list to variables python
Python