ValueError: to assemble mappings requires at least that [year, month, day] be specified: [day,month,year] is missing

Question

我正在尝试使用 kmeans 进行绘图，但我卡住了，因为其中一列包含日期，这会产生很多问题。（你可以在截图中看到数据enter image description here）

我已经用过to_datetime，那我现在该怎么办？

这道题怎么过关和出图？

提前致谢！

from sklearn.cluster import KMeans


AAPL= pd.read_csv('AAPL.csv', header=0, squeeze=True)
#sd=store_data.head(100)

x = pd.to_datetime(AAPL.iloc[:, [0,1]],dayfirst=True)
print(x)
kmeans4 = KMeans(n_clusters=4)
y_kmeans4 = kmeans4.fit_predict(x)
print(y_kmeans4)
print(kmeans4.cluster_centers_)

plt.scatter(x[:,0],x[:,1],c=y_kmeans4,cmap='rainbow')
plt.scatter(kmeans4.cluster_centers_[:,0] ,kmeans4.cluster_centers_[:,1],color='black')

Answer 1

您只需要 select 第一列：

x = pd.to_datetime(AAPL.iloc[:, 0],dayfirst=True)

如果使用：

x = pd.to_datetime(AAPL.iloc[:, [0,1]],dayfirst=True)

它 select 第一列和第二列并引发错误，因为 pd.to_datetime 仅在传递列 year, month, days 时才有效，例如 this solution.

ValueError: to assemble mappings requires at least that [year, month, day] be specified: [day,month,year] is missing

ValueError: to assemble mappings requires at least that [year, month, day] be specified: [day,month,year] is missing

numpy

date

k-means

pandas

anomaly-detection