import statistics as stat
import pandas as pd
import numpy as np
from scipy.stats import iqr

df = pd.read_csv(r'D:\HTEX\Pythonbk\codesdata\bmi.csv')

stdev1 = stat.stdev(df['height'])
stdev2 = stat.pstdev(df['height'])
var1 = stat.variance(df['height'])
var2 = stat.pvariance(df['height'])

print(stdev1, stdev2, var1, var2)

#####################################

x = pd.DataFrame([[1,2], [3,4], [5,6]], columns=['A','B'])
print(x)
var3 = x.var(axis=0)
var4 = x.var(axis=1)
print(var3, var4)

##

std = df['height'].std()
var = df['height'].var()
print(std, var)