KPrototypes unhashable type: 'slice'

[paulaceccon]

As far as I got using this method I could pass a list containing the positions of the categorial variables.

categorical = r1.select_dtypes(include=[object]).columns
range_cat = [r1.columns.get_loc(c) for c in categorical]
range_cat
[0, 10, 11, 13, 14, 15]

But this doesn't work:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-43-8fe6545f1e6d> in <module>()
      3 for k in range(1, 11):
      4     kp = KPrototypes(n_clusters=k, init='Huang', verbose=2)
----> 5     kp.fit(r1, categorical=range_cat)
      6     wcss.append(kp.cost_)
      7 

~\AppData\Local\Continuum\Anaconda3\lib\site-packages\kmodes\kprototypes.py in fit(self, X, y, categorical)
    413                                                     self.init,
    414                                                     self.n_init,
--> 415                                                     self.verbose)
    416         return self
    417 

~\AppData\Local\Continuum\Anaconda3\lib\site-packages\kmodes\kprototypes.py in k_prototypes(X, categorical, n_clusters, max_iter, num_dissim, cat_dissim, gamma, init, n_init, verbose)
    152     assert n_clusters <= npoints, "More clusters than data points?"
    153 
--> 154     Xnum, Xcat = _split_num_cat(X, categorical)
    155     Xnum, Xcat = check_array(Xnum), check_array(Xcat, dtype=None)
    156 

~\AppData\Local\Continuum\Anaconda3\lib\site-packages\kmodes\kprototypes.py in _split_num_cat(X, categorical)
     44     :param categorical: Indices of categorical columns
     45     """
---> 46     Xnum = np.asanyarray(X[:, [ii for ii in range(X.shape[1])
     47                                if ii not in categorical]]).astype(np.float64)
     48     Xcat = np.asanyarray(X[:, categorical])

~\AppData\Local\Continuum\Anaconda3\lib\site-packages\pandas\core\frame.py in __getitem__(self, key)
   2137             return self._getitem_multilevel(key)
   2138         else:
-> 2139             return self._getitem_column(key)
   2140 
   2141     def _getitem_column(self, key):

~\AppData\Local\Continuum\Anaconda3\lib\site-packages\pandas\core\frame.py in _getitem_column(self, key)
   2144         # get column
   2145         if self.columns.is_unique:
-> 2146             return self._get_item_cache(key)
   2147 
   2148         # duplicate columns & possible reduce dimensionality

~\AppData\Local\Continuum\Anaconda3\lib\site-packages\pandas\core\generic.py in _get_item_cache(self, item)
   1838         """Return the cached item, item represents a label indexer."""
   1839         cache = self._item_cache
-> 1840         res = cache.get(item)
   1841         if res is None:
   1842             values = self._data.get(item)

TypeError: unhashable type: 'slice'

[katiyarsahil]

Were you able to solve this issue, I am facing the same error.

[nicodv]

Instead of giving kmodes a pandas DataFrame, try giving it a numpy array using df.values. Let me know if that helps.

[katiyarsahil]

That worked. I tried it reading your comment on 'TypeError: unhashable type #40'. Solved the issue. Thanks a lot.

[nicodv]

@katiyarsahil , can you do me a favor and do the following on your original pandas object?

str(df.__class__)

And tell us what the output of that is?

It seems like this is still a bug, as the pandas object is not converted to a numpy array.

[katiyarsahil]

Currently running a piece of code so cant run it right away, will post the output as soon as my code ends.

…

On Fri, Sep 14, 2018 at 5:17 PM Nico de Vos ***@***.***> wrote: Can you do me a favor and do the following on your original pandas object? str(df.__class__) And tell us what the output of that is? It seems like this is still a bug, as the pandas object is not converted to a numpy array. — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#67 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AZfNJ0YnrKDLf2rxYvGlS92-V4olZTR_ks5ubDkJgaJpZM4TFqns> .

[katiyarsahil]

"<class 'pandas.core.frame.DataFrame'>". This is the output i get. I had to convert this dataframe to an array to sucessfully run the fit_predict command.

[nicodv]

What version of kmodes are you using, @katiyarsahil ?

I'm puzzled why this line, introduced in v0.8, does not solve this issue: https://github.com/nicodv/kmodes/blob/0.8/kmodes/kprototypes.py#L134

[nicodv]

The problem was not with the data, but with the categorical argument. pandas' get_loc operation, for example, will return a slice on the DataFrame instead of a list of indices (as kprototypes expects).

I am now checking the data type of the categorical argument, and leave it up to the users to comply:

kmodes/kmodes/kprototypes.py

Line 481 in 9f74a05

if categorical is not None: