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 np

class 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

    pass

file="iris.date.csv.txt"

import pandas as pd

df=pd.read_csv(file,header=None)

import matplotlib.pyplot as plt

import numpy as np

y=df.loc[0:100,4].values

y=np.where(y=='Iris-setosa',-1,1)

print (y)

X=df.iloc[0:100,[0,2]].values

print (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.