RandomForestClassifier IndexingError: Too many indexers

[metalray]

Dear Python Experts,

I have googled this error but just came to new ways of slicing the data frame what led to near error (invalid slice).
What does that exactly mean to many indexers and why does that happen when I only slice 1:3?

from sklearn.ensemble import RandomForestClassifier
#---Random Forest Classifier
clf = RandomForestClassifier(max_features = 8, random_state = 0)
clf.fit(X_train1.ix[1:,3], y_train1.ix[1:,3])
clf_predicted = clf.predict(X_test)

[metalray]

Does someone know why this is happening?

[Terafy]

If that is all your code. What is your variable X_train1.ix and y_train1.ix? try printing those variable to see if it exist.