Debug TypeError: unhashable type: 'numpy.ndarray'

Question

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:

    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 ?

Code which i used:

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)

always give the full error traceback, not just the last line. — cel
– cel, Commented Mar 9, 2016 at 7:52
ds = df[np.where(labels==i)] this seems very strange. Did you mean: ds = df[labels==i]? — cel
– cel, Commented Mar 9, 2016 at 8:00
trim down your dataset and modify this to be a self-contained and runnable example. — Paul H
– Paul H, Commented Mar 9, 2016 at 8:05
@DavidG i have update my Question with simple example i have run this code for the above data frame and its throwing the same error. — jax
– jax, Commented Mar 9, 2016 at 9:44

jax · Accepted Answer · 2016-03-09 10:30:03Z

3

I tried and this works for me, conversion of pandas df to numpy matrix:

df = df.as_matrix(columns= ["a","b","c","d", "e"])

answered Mar 9, 2016 at 10:30

jax

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