Standard deviation is the measure of how spread out numbers are. Pandas is a library in Python that is used to calculate the standard deviation.
Standard deviation is calculated using the function .std()
. However, the Pandas library creates the Dataframe
object and then the function .std()
is applied on that Dataframe
.
The following code calculates the standard deviation of three columns (i.e., Score1, Score2, and Score3).
import pandas as pdimport numpy as np#Create a DataFramed = {'Name':['Alisa','Bobby','Cathrine','Madonna','Rocky','Sebastian','Jaqluine','Rahul','David','Andrew','Ajay','Teresa'],'Score1':[62,47,55,74,31,77,85,63,42,32,71,57],'Score2':[89,87,67,55,47,72,76,79,44,92,99,69],'Score3':[56,86,77,45,73,62,74,89,71,67,97,68]}df = pd.DataFrame(d)answer= df.std()print("The standard deviations of the 3 columns are:")print (answer)