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

26 votes340 views2 answers
Df .sort_values
Python
9 votes303 views2 answers
Remove all rows without a value pandas
Python
3 votes293 views2 answers
Elon musk wikipedia
Python
0 vote317 views1 answer
Ipaddress in python
Python
1 vote374 views1 answer
Liczby zespolone python
Python
1 vote354 views2 answers
Define symmetry
Python
-1 vote326 views1 answer
Opencv python rgb to hsv
Python
0 vote307 views1 answer
Django serializer get image list
Python
0 vote321 views1 answer
Python how to initialize wikipediaapi
Python
1 vote305 views1 answer
Inverse list python
Python