# encoding=utf-8
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
plt.rcParams['font.sans-serif']=['SimHei']#用来正常显示中文标签
plt.rcParams['font.serif'] = ['SimHei']
file = 'https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data'
df = pd.read_csv(file,header=None)
y=df.loc[0:100,4].values
y=np.where(y == 'Iris-setosa',-1,1)
x=df.iloc[0:100,[0,2]].values
plt.scatter(x[:50,0], x[:50,1], color='red', marker='o',lable='setosa')
plt.scatter(x[50:100,0], x[50:100,1], color='blue', marker='x',lable='versicolor')
plt.xlabel('花瓣长度')
plt.ylabel('花茎长度')
plt.legend(loc = 'upper left')
plt.show()错误:Traceback (most recent call last): File "D:\workspace\imooc\machine_learning\p1.py", line 14, in <module> plt.scatter(x[:50,0], x[:50,1], color='red', marker='o',lable='setosa') File "C:\Python\lib\site-packages\matplotlib\pyplot.py", line 3434, in scatter edgecolors=edgecolors, data=data, **kwargs) File "C:\Python\lib\site-packages\matplotlib\__init__.py", line 1898, in inner return func(ax, *args, **kwargs) File "C:\Python\lib\site-packages\matplotlib\axes\_axes.py", line 4037, in scatter collection.update(kwargs) File "C:\Python\lib\site-packages\matplotlib\artist.py", line 885, in update for k, v in props.items()] File "C:\Python\lib\site-packages\matplotlib\artist.py", line 878, in _update_property raise AttributeError('Unknown property %s' % k)AttributeError: Unknown property lable
3 回答

星雨123456
TA贡献1条经验 获得超0个赞
plt.scatter(x[:50,0], x[:50,1], color='red', marker='o',lable='setosa')
plt.scatter(x[50:100,0], x[50:100,1], color='blue', marker='x',lable='versicolor')
这两个里面的参数改一下就可以
plt.scatter(x[:50,0],x[:50,1],color='red',marker='o')
plt.scatter(x[50:100,0],x[50:100,1],color='blue',marker='x')
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