pd.cut returns a column of NaNs

Question

I wrote following code, but return all NaNs in the new column.

bins = [0, 1, 2, 5]
cat = [\'zero\', \'one\', \'two and more\']
df[\'group\'] = pd.cut(df[\'count\'