# Time series clustering for a dataframe

I have a data frame with multiple ids which have their own time series data. Here, I only provide a simple example. I would like to cluster them into 2 (in real data 10) classes. I have tried to use the time series clustering in this tutorial, however it does not work for me (since it has time and etc.) Could you help me with that? Here is my dataframe:

import pandas as pd

df = pd.DataFrame()
df['id'] = [1, 2, 3, 4]
df ['value_1'] = [2, 3, 4, 6]
df ['value_2'] = [5,1, 4, 6]
df ['value_3'] = [2, 2, 4, 9]