How to use detection communities in networkx

I have a database has 5 columns

I have made the connection to the network and make the network connected like this:

 path = 'data.csv'
 df = pd.read_csv(path) 

G = nx.from_pandas_edgelist(df, source='f_id, target='s_id', edge_attr=['weight','date'], create_using=nx.DiGraph())

so now i want to detect communities to the direct graph any detection i know that louvian cannot be implemented to a direct network so not preference.

TypeError: Bad graph type, use only non directed graph

So how to detect communities and give each community a color.

After defining the communities i want to pass the title and score to the nodes to test which community has the lowest score.

Any hint please