pastebin

from sklearn import datasets

import pandas as pd

 

iris = datasets.load_iris()

df=pd.DataFrame(iris.data)

print(df.columns)

df['class']=iris.target

 

df.columns=['sepal.length', 'sepal.width', 'petal_len', 'petal_wid', 'class']

df.dropna(how="all", inplace=true) # remove any empty lines

print(df.head())

import numpy as np

import matplotlib. pyplot as plt

from scipy. stats import norm

x_axis=np.arange(-20,20,0.01)

mean=df["sepal.length"].mean()

sd=df.loc[:,"sepal.width"].std()

plt. plot(x_axis,norm.pdf(x_axis,mean,sd))

plt. show()