Numpy standard deviation

Numpy calculate standard deviation

import numpy
numbers = [1,5,6,7,9,11,13]
standard = numpy.std(numbers) #Calculates standard deviation
print(standard)

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

Numpy standard deviation

aux = np.array( [[0, 0, 0], [1, 2, 3]] )
np.std( aux, axis=0 )

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 vote267 views1 answer
Input and ouput array in python
Python
0 vote274 views1 answer
I=int(input("enter the number")); sum=0; pro=1; while(i>0): d=1%10; if (d%2==0): sum=sum+d; else: pro=pro*d; i=i//10; print("sum=",sum,"product=",pro);
Python
83 votes262 views6 answers
How to check python version in cmd
Python
4 votes267 views1 answer
Pygame music player
Python
0 vote394 views1 answer
Rasperry pi camera
Python
6 votes281 views3 answers
Plot horizontal line in python
Python
1 vote263 views1 answer
Vscode pylint missing module docstring
Python
2 votes271 views2 answers
Python convert hex to binary
Python
2 votes249 views1 answer
Hardest python questions
Python
0 vote283 views1 answer
Python gaussian filter
Python