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

0 vote279 views1 answer
Applies the f function to all Row of this DataFrame
Python
0 vote273 views1 answer
Django generate openapi schema command line
Python Django
0 vote263 views1 answer
How to convert into grayscale opencv
Python
2 votes318 views1 answer
Truncate templat tag django
Python Django
6 votes342 views3 answers
Python print user input
Python
6 votes249 views2 answers
Unique list values python ordered
Python
1 vote259 views1 answer
The four pillars of Op in Python
Python
0 vote343 views1 answer
Remove element from pack tkinter
Python
2 votes292 views2 answers
Python sort file names with numbers
Python
0 vote303 views1 answer
Bolumden kalan python
Python