用python实现数据可视化代码如下，为啥报错AttributeError: Unknown property market

Question

# -*- coding: utf-8 -*-"""Created on Tue May 22 15:56:56 2018@author: dell"""import numpy as npclass Perceptron(object):    def __init__(self,eta=0.01,n_iter=10):        self.eta=eta;        self.n_iter=n_iter        pass    def fit(self,X,y):        self.w_=np.zero(1+x.shape[1]);        self.errors_=[]        for _ in range(self,n_iter):            errors_=0            for Xi,target in zip(x,y):                update=self.eta*(target-self.predict(Xi))                self.w_[1:]+=update*Xi                self.w_[0]+=update;                errors+=int(update!=0.0)                self.errors_.append(errors)                pass            pass    def net_input(self,X):        return np.dot(x,self.w_[1:])+self.w_[0]        pass    def predict(self,x):        return np.where(self.net_input(x)>=0.0,1,-1)        pass    passfile="iris.date.csv.txt"import pandas as pddf=pd.read_csv(file,header=None)import matplotlib.pyplot as pltimport numpy as npy=df.loc[0:100,4].valuesy=np.where(y=='Iris-setosa',-1,1)print (y)X=df.iloc[0:100,[0,2]].valuesprint (X)plt.scatter(X[0:49,0],X[0:49,1],color='red',market='o',label='setosa')plt.scatter(X[50:100,0],X[50:100,1],color='blue',market='x',label='versicolor')plt.xlabel('花瓣长度')plt,ylabel('花茎长度') plt,legend(loc='upper left')plt.show()   

Answer 1

不是market，是marker.