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 vote175 views1 answer
Button onclick message box in python tkinter
Python
1 vote226 views1 answer
Find index of max value in 2d array python
Python
0 vote257 views1 answer
How to change the size of datapoint in plot python
Python
2 votes182 views2 answers
Str replace pandas
Python
0 vote214 views1 answer
Selenium exception handling python
Python
0 vote196 views1 answer
Jupyterthemes jplot
Python
0 vote189 views1 answer
Python submit work to redis
Python
2 votes187 views10 answers
@7chats
Python
0 vote177 views1 answer
Networkx select edge
Python
6 votes176 views2 answers
Python datetime get all days between two dates
Python