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How to calculate the standard deviation using Pandas
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.
How it works
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.
Code
The following code calculates the standard deviation of three columns (i.e., Score1, Score2, and Score3).
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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)
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