python中的聚类分析：ValueError：x和y必须大小相同

Question

我尝试以下代码，但在执行时，它会显示以下错误：

  

（ValueError：x和y必须大小相同）

Data

代码：

import pandas as pd
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
from sklearn.cluster import KMeans


df1=pd.read_excel('F:/Test PCA/Week-7-MachineLearning/weather_V2.xlsx',sheetname='Sheet1', header=0,)

df=df1.dropna();

del df['rain_accumulation']; del df['rain_duration']
features=['air_pressure', 'air_temp', 'avg_wind_direction', 'avg_wind_speed', 'max_wind_direction',
    'max_wind_speed','relative_humidity']

select_df=df[features]; #print select_df.air_pressure

x=StandardScaler().fit_transform(select_df)

Kmeans=KMeans(n_clusters=12)
Model=Kmeans.fit(x);  #print Model
y_kmeans = Kmeans.predict(x)

data_labels=Kmeans.labels_;
centers=Model.cluster_centers_

plt.scatter(x[:, 0], x[:, 1], c=y_kmeans, s=50, cmap='viridis')
plt.scatter(centers[:0], centers[:1], color ='k')
plt.show()

Answer 1

你错过了这一行中的逗号：

plt.scatter(centers[:0], centers[:1], color ='k')

散点图因不同大小的数组而混淆：

In [34]: centers[:0].shape
Out[34]: (0, 7)

In [35]: centers[:1].shape
Out[35]: (1, 7)

应该是：

plt.scatter(centers[:, 0], centers[:, 1], color ='k', s=100)

结果：