Displaying some attributes about iris dataset

iris.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jul 18 16:59:56 2018

@author: akash.joshi
"""

import pandas as pd
import matplotlib.pyplot as plt

x=pd.read_csv("iris.csv")

print("Max is : ",x["sepal_length"].max())
print("Min is : ",x["sepal_length"].min())
print("Mean is : ",x["sepal_length"].mean())
print("Range is : ",x["sepal_length"].max()-x["sepal_length"].min())
print("Standard Deviation is : ",x["sepal_length"].std())
print("Variance is : ",x["sepal_length"].var())
print("Percentiles : ",x["sepal_length"].quantile(.25),x["sepal_length"].quantile(.5),x["sepal_length"].quantile(.75))
#x["sepal_length"].plot(kind="hist")
#x.plot(kind="box")
print(x.describe(include="all"))  # include all to not exclude other datatypes
print("Number of features : ",x.iloc[0].count())#.count(axis=1))
print(x.dtypes) # returns datatypes of objects