Question

嗨，我在查看kmeans聚类结果时遇到类型错误unhashable type: 'numpy.ndarray'。我不确定是因为我的数据是数据框吗？我的数据看起来像这种格式

df3
        A       B       C       D       E
    1   FALSE   FALSE   FALSE   FALSE   FALSE
    2   TRUE    FALSE   FALSE   FALSE   FALSE
    3   FALSE   FALSE   FALSE   FALSE   FALSE
    4   FALSE   FALSE   FALSE   TRUE    FALSE
    5   FALSE   FALSE   FALSE   FALSE   FALSE
    6   FALSE   FALSE   FALSE   FALSE   FALSE
    7   FALSE   FALSE   TRUE    FALSE   FALSE
    8   TRUE    FALSE   TRUE    FALSE   FALSE
    9   FALSE   FALSE   FALSE   FALSE   TRUE
    10  FALSE   TRUE    FALSE   TRUE    TRUE

代码

fig= plt.figure(figsize=(8,     3))
fig.subplots_adjust(left=0.02,    right=0.98,  bottom=0.05,  top=0.9)
colors=  ['#4EACC5',   '#FF9C34',   '#4E9A06']
k_means_cluster_centers=   np.sort(k_means.cluster_centers_,     axis=0)
k_means_labels=  pairwise_distances_argmin(df3,   k_means_cluster_centers)

ax=  fig.add_subplot(1, 3, 1)
for k,   col in zip(range(n_clusters),    colors):
    my_members=  k_means_labels  == k
    cluster_center=   k_means_cluster_centers[k]
    ax.plot(df3[my_members,    0],  df3[my_members,  1],'w',  markerfacecolor=col,   marker='.')
    ax.plot(cluster_center[0],    cluster_center[1],'o',  markerfacecolor=col,   markeredgecolor='k',    markersize=6)

ax.set_title('KMeans')
ax.set_xticks(())
ax.set_yticks(())
plt.text(-3.5,   1.8,   'inertia=  %f'  % (k_means.inertia_))
plt.show()

类型错误

TypeError                                 Traceback (most recent call last)
<ipython-input-172-7f988487d56c> in <module>()
     10     my_members=  k_means_labels  == k
     11     cluster_center=   k_means_cluster_centers[k]
---> 12     ax.plot(df3[my_members,    0],  df3[my_members,  1],'w',  markerfacecolor=col,   marker='.')
     13     ax.plot(cluster_center[0],    cluster_center[1],'o',  markerfacecolor=col,   markeredgecolor='k',    markersize=6)

请问有关如何解决此问题的任何建议？

Kmeans可视化错误-无法散列的类型：'numpy.ndarray'

0 个答案: