Htydjtk

I have 2 columns which are in dataframe and need to be converted to Bipartite grpah. I am facing issues to do that.

My data looks like this:

Col1 Col2

9d7051e2611cebdb758f1c7bd09360ac da48d74993ef5eb46acae826a33fe922

I tried this method to convert this dataframe to bipartite graph:

Method#1

`G = nx.from_pandas_edgelist(df_train, source='Donor ID', target='Project ID', edge_attr=True, create_using=None)

Method#2
'G = nx.Graph()
G.add_nodes_from(df_train['Donor ID'], bipartite=0)
G.add_nodes_from(df_train['Project ID'], bipartite=1)
G.add_edges_from(
[(row['Donor ID'], row['Project ID']) for idx, row in df_train.iterrows()])`

Though if I verify if this above conversion works using -

bipartite.is_bipartite(G)

, it gives me FALSE.

Its False for both the methods.

Not sure what I am missing here. Any help on the same would be appreciated.

Few things which I tried to resolve the issue:

1. Find duplicate records (col1+col2) and removed duplicate ones


2. Make sure there are no missing values in both the table so that it confirms that there is an edge for every record.


3. When I tried with a subset of records out of 1Million records, it worked.
   So as I understand its because of some faulty data but how to find all faulty records and how to fix it is challenging.


4. The data type is Object. Tried to convert it to string but not able to do so.
   Any help will be appreciated.

Nothing above helped.

Please guide me what I am missing here or how can I further debug the issue.