TypeError: '(slice(None, None, None), slice(None, None, None))' is an invalid key

I’m facing mentioned issue. I initially thought the issue is due to version of python I was using i.e python3, but I tried to used it with python2, the same error pops up.

clf = RandomForestClassifier(n_estimators=50, max_depth=5, random_state=0, n_jobs=3)
clf.fit(X_train,y_train)
predict_fn_rf = lambda x : clf.predict_proba(X_test).astype(float)
explainer = lime.lime_tabular.LimeTabularExplainer(X_train[:,:])

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-21-c2cd4dda4439> in <module>()
----> 1 explainer = lime.lime_tabular.LimeTabularExplainer(X_train[:,:])

/home/crisp/cnn/local/lib/python2.7/site-packages/pandas/core/frame.pyc in __getitem__(self, key)
   2925             if self.columns.nlevels > 1:
   2926                 return self._getitem_multilevel(key)
-> 2927             indexer = self.columns.get_loc(key)
   2928             if is_integer(indexer):
   2929                 indexer = [indexer]

/home/crisp/cnn/local/lib/python2.7/site-packages/pandas/core/indexes/base.pyc in get_loc(self, key, method, tolerance)
   2654                                  'backfill or nearest lookups')
   2655             try:
-> 2656                 return self._engine.get_loc(key)
   2657             except KeyError:
   2658                 return self._engine.get_loc(self._maybe_cast_indexer(key))

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

TypeError: '(slice(None, None, None), slice(None, None, None))' is an invalid key](url)

[andorend]

X_train is a Pandas DataFrame. In Pandas you can use X_train.iloc[:,:] and that fixes the issue, but I think it is the same as X_train without any indexing. If you would like to get the Numpy array from a Pandas DataFrame you can use X_train.values . In this case you again can use your type of indexing like X_train.values[:,:]

I think it does not depend on Python version.

[naanunaane]

I’m also having this issue. Any ideas?

Hi @WetzlerkAI, I changed my input to a numpy array instead and it worked. I have still not been able to sort this issue with a Pandas dataframe input. If it is urgent in your case, I suggest changing your input to numpy and moving ahead.