TypeError: 'DataFrame' objects are mutable, thus they cannot be hashed

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'])

我想将这些数据框（标签和品种）用于 'crosstab' 功能。请告诉我该怎么做？

Answer 1

为什么要将标签存储在单独的数据框中？将其保存为变量数据框中的新列可能更容易，然后运行这两列之间的交叉表。

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'])

TypeError: 'DataFrame' objects are mutable, thus they cannot be hashed

TypeError: 'DataFrame' objects are mutable, thus they cannot be hashed

python

crosstab

pandas