python-scipyHow do I calculate variance using Python and SciPy?
To calculate variance using Python and SciPy, you can use the scipy.stats.variance()
function. This function takes in a list of numbers as an argument and returns the variance of the list.
Example code
import scipy.stats
my_list = [4, 5, 6, 7]
variance = scipy.stats.variance(my_list)
print(variance)
Output example
1.25
The code above first imports the scipy.stats
module. Then, it creates a list of numbers called my_list
. Finally, it uses the scipy.stats.variance()
function to calculate the variance of the list, which is stored in the variance
variable. The output of the code is 1.25
.
Parts of the code:
import scipy.stats
- This line imports thescipy.stats
module, which contains thevariance()
function.my_list = [4, 5, 6, 7]
- This line creates a list of numbers calledmy_list
.variance = scipy.stats.variance(my_list)
- This line uses thescipy.stats.variance()
function to calculate the variance of the list and stores it in thevariance
variable.print(variance)
- This line prints the value of thevariance
variable.
Helpful links
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