I'm following this article, using my own data trying to plot a customers # of orders against their lifetime spend when I get this error:
I've tried removing true/false values from my dataframe and updating relevant packages
TypeError Traceback (most recent call last)
<ipython-input-74-221045cec1a1> in <module>
3 y_means = km4.fit_predict(X)
4 #Visualizing the clusters for k=4
----> 5 plt.scatter(X[y_means==0,0],X[y_means==0,1],s=50, c='purple',label='Cluster1')
6 plt.scatter(X[y_means==1,0],X[y_means==1,1],s=50, c='blue',label='Cluster2')
7 plt.scatter(X[y_means==2,0],X[y_means==2,1],s=50, c='green',label='Cluster3')
/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py 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]
/anaconda3/lib/python3.6/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2655 'backfill or nearest lookups')
2656 try:
-> 2657 return self._engine.get_loc(key)
2658 except KeyError:
2659 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: '(array([ True, True, True, ..., True, True, True]), 0)' is an invalid key```
Update: After following the advice in the comments and changing my plt.scatter to `plt.scatter(X[y_means==0][:,0],X[y_means==0][:,1],`
I receive the error `TypeError: '(slice(None, None, None), 0)' is an invalid key`
It was an issue with trying to use a numpy technique on a pandas.dataframe
I converted it using X=X.value and it worked