[英]Getting error in dataframe typeError: 'Series' objects are mutable, thus they cannot be hashed
[英]TypeError: 'DataFrame' objects are mutable, thus they cannot be hashed
我的代碼:
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'])
我想將這些數據幀(標簽和變體)用於'交叉表'功能。 請告訴我如何做到這一點?
為什么要將標簽存儲在單獨的數據框中? 可能更容易將其保存為variaties數據幀中的新列,然后在這兩列之間運行交叉表。
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'])
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