Python statistics.pstdev() Method
Calculate the standard deviation from an entire population:
# Calculate the standard deviation from an entire population
print(statistics.pstdev([1, 3, 5, 7, 9, 11]))
print(statistics.pstdev([2, 2.5, 1.25, 3.1, 1.75, 2.8]))
print(statistics.pstdev([-11, 5.5, -3.4, 7.1]))
print(statistics.pstdev([1, 30, 50, 100]))
Definition and Usage
statistics.pstdev() method calculates the standard deviation
from an entire population.
Standard deviation is a measure of how spread out the numbers are.
A large standard deviation indicates that the data is spread out, - a small standard deviation indicates that the data is clustered closely around the mean.
Tip: Standard deviation is (unlike the Variance) expressed in the same units as the data.
Tip: Standard deviation is the square root of sample variance.
Tip: To calculate the standard deviation from a sample of
|data||Required. The data values to be used (can be any sequence, list or iterator)|
|xbar||Optional. The mean of the given data (can also be a second moment around a point that is not the mean). If omitted (or set to None), the mean is automatically calculated|
Note: If data is empty, it returns a StatisticsError.