pandas 调试类型错误：不可散列类型：'numpy.ndarray'
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Debug TypeError: unhashable type: 'numpy.ndarray'
提问by jax
I am working on a kmeans clustering. I have write down a code with the help of some available references on the web but when I run this code it fires an error:
我正在研究 kmeans 聚类。我已经在网络上一些可用参考的帮助下写下了代码，但是当我运行此代码时，它会触发一个错误：
Traceback (most recent call last):
File "clustering.py", line 16, in <module>
ds = df[np.where(labels==i)]
File "/usr/lib/python2.7/dist-packages/pandas/core/frame.py", line 1678, in __getitem__
return self._getitem_column(key)
File "/usr/lib/python2.7/dist-packages/pandas/core/frame.py", line 1685, in _getitem_column
return self._get_item_cache(key)
File "/usr/lib/python2.7/dist-packages/pandas/core/generic.py", line 1050, in _get_item_cache
res = cache.get(item)
TypeError: unhashable type: 'numpy.ndarray'
Though, many previous threads are available with the same error but there is no single solution available that can handle this error in my program. How can I debug this error ?
虽然，许多以前的线程都存在相同的错误，但没有可用的单一解决方案可以在我的程序中处理此错误。我该如何调试这个错误？
Code which i used:
我使用的代码：
from sklearn import cluster
import pandas as pd
df = [
[0.57,-0.845,-0.8277,-0.1585,-1.616],
[0.47,-0.14,-0.5277,-0.158,-1.716],
[0.17,-0.845,-0.5277,-0.158,-1.616],
[0.27,-0.14,-0.8277,-0.158,-1.716]]
df = pd.DataFrame(df,columns= ["a","b","c","d", "e"])
# df = pd.read_csv("cleaned_remove_cor.csv")
k = 3
kmeans = cluster.KMeans(n_clusters=k)
kmeans.fit(df)
labels = kmeans.labels_
centroids = kmeans.cluster_centers_
from matplotlib import pyplot
import numpy as np
for i in range(k):
# select only data observations with cluster label == i
ds = df[np.where(labels==i)]
# plot the data observations
pyplot.plot(ds[:,0],ds[:,1],'o')
# plot the centroids
lines = pyplot.plot(centroids[i,0],centroids[i,1],'kx')
# make the centroid x's bigger
pyplot.setp(lines,ms=15.0)
pyplot.setp(lines,mew=2.0)
pyplot.show()
The shape of my DataFrame is (8127x600)
我的 DataFrame 的形状是 (8127x600)
回答by jax
I tried and this works for me, conversion of pandas df to numpy matrix:
我试过了，这对我有用，将 pandas df 转换为 numpy 矩阵：
df = df.as_matrix(columns= ["a","b","c","d", "e"])
