Clustering analysis in python: ValueError: x and y must be the same size

Question

I try the following code, but when executing, it show the following error:

(ValueError: x and y must be the same size)

Code:

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()

@AkshayNevrekar: x[:, 1] is the Y as you may see in the plt.scatter. — Vanna
– Vanna, Commented Feb 17, 2018 at 10:36

MaxU - stand with Ukraine · Accepted Answer · 2018-02-17 11:22:41Z

2

You've missed commas in this line:

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

So scatter plot was confused by differently sized arrays:

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

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

it should be:

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

Result:

answered Feb 17, 2018 at 11:22

MaxU - stand with Ukraine

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2 Comments

Vanna Over a year ago

Thanks a lot, MaxU. This helps a lot.

MaxU - stand with Ukraine Over a year ago

@Vanna, glad I could help :)

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