类型错误：“数据帧”对象是可变的，因此它们不能被散列

Question

我的代码：

samples = pd.read_csv("https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data", sep=',',header=None) 
varieties = pd.DataFrame(samples.iloc[:,0]) 
kmeans = KMeans(n_clusters = 3) 
labels = kmeans.fit_predict(samples) 
#setting 'labels' according to given data 
labels += 1 
#converting 'labels' to pandas DataFrame 
labels = pd.DataFrame(labels) 
df = pd.DataFrame({'labels':[labels], 'varieties':[varieties]}) 
ct = pd.crosstab(df['labels'],df['varieties']) 

我想用这些dataframes（标签和品种）为“交叉”功能。 请让我知道我该怎么做？

Answer 1

为什么要将标签存储在单独的数据框中？可能更容易将它作为variaties数据框中的新列进行保存，然后在这两列之间运行交叉表。

samples = pd.read_csv("https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data", sep=',',header=None) 
varieties = pd.DataFrame(samples.iloc[:,0]) 
kmeans = KMeans(n_clusters = 3) 
varieties['labels'] = kmeans.fit_predict(samples) 
#setting 'labels' according to given data 
varieties['labels'] += 1 
pd.crosstab(varieties.iloc[:,0], varieties['labels'])