问AttributeError:模块“whois”没有属性“whois”

EN

    Enter website name=> www.google.com
Traceback (most recent call last):
  File "Dphishing.py", line 12, in <module>
    p2.category2(website)
  File "C:\xampp\htdocs\Detect_Phishing_Website\p2.py", line 8, in category2
    page = whois.whois(website)
AttributeError: module 'whois' has no attribute 'whois'

# -*- coding: utf-8 -*-

import p1
import p2
import p3
import p4
import pandas as pd
#import numpy as np

website = str(input("Enter website name=> "))
p1.category1(website)
p2.category2(website)
p3.category3(website)
p4.category4(website)


read = pd.read_csv(r'C:\Users\Anushree\Desktop\college\4th year project\Detect_Phishing_Website\phishing5.txt',header = None,sep = ',')
read = read.iloc[:,:-1].values
dataset = pd.read_csv(r'C:\Users\Anushree\Desktop\college\4th year project\Detect_Phishing_Website\Training Dataset1.csv')
X = dataset.iloc[:,:-1].values  
y = dataset.iloc[:,-1].values

from sklearn.model_selection import train_test_split
X_train,X_test,y_train,y_test = train_test_split(X,y,test_size = 0.2,random_state = 1001)

from sklearn.ensemble import RandomForestRegressor
regressor = RandomForestRegressor(n_estimators = 10,criterion = "mse",random_state = 2)
regressor.fit(X_train,y_train)                             

y_pred = regressor.predict(X_test)


from sklearn.model_selection import cross_val_score
accuracy = cross_val_score(estimator = regressor,X=X_train,y=y_train,cv = 5)
accuracy.mean()
accuracy.std()


Detect_phishing_website = regressor.predict(read)

if Detect_phishing_website == 1:
    print("legitimate website")
elif Detect_phishing_website == 0:
    print ('suspicious website')
else:
    print('phishing website')

import re
import whois

def category2(website):
        
    file_obj = open(r'C:\Users\Anushree\Desktop\college\4th year project\Detect_Phishing_Website\phishing5.txt','a')
    #8 Domain Registration Length
    page = whois.whois(website)
    if type(page.expiration_date) == list:
        domain_reg_len = (page.expiration_date[0] - page.creation_date[0]).days
    else:
        domain_reg_len = (page.expiration_date - page.creation_date).days
    #print domain_reg_len
    if domain_reg_len <= 365:
        file_obj.write('-1,')
    else:
        file_obj.write('1,')
    #9 Using Non-Standard Port 
    match_port = re.search(':[//]+[a-z]+.[a-z0-9A-Z]+.[a-zA-Z]+:([0-9#]*)',website)
    if match_port:
        print (match_port.group())
        if match_port.group(1) == '#':#represent multiple ports are active on url
            file_obj.write('-1,')
        else:
            file_obj.write('1,')
    else:
        file_obj.write('1,')
    file_obj.close()