Python: how to merge a networkx graph with a dataframe?
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I have a networkx graph g that I created from a pandas dataframe df and I saved.
df
A B
0 359 278
1 576 437
2 329 177
3 329 278
g = pd.from_edgelist(df, 'A', 'B')
I saved it as a pickle
nx.write_gpickle(g, 'myGraph.gz')
I am now reading this graph for another project
g = nx.read_pickle('myGraph.gz')
I now have a datframe containing the information of some of the nodes in g.
df1
Node Y
0 359 0
1 576 1
2 329 1
3 278 0
4 100 0
5 437 1
I want to use the information df.Y for the performing the personalized pagerank only for the nodes in common between df and g. After the merge I would like to have something like the following.
d = pd.Series(df1['Y'], index=df1.index).to_dict()
ppr = nx.pagerank(g, alpha=0.85, personalization=d)
python pandas networkx
asked Nov 16 '18 at 11:44
emaxemax
1,21431235
add a comment |
I have a networkx graph g that I created from a pandas dataframe df and I saved.
df
A B
0 359 278
1 576 437
2 329 177
3 329 278
g = pd.from_edgelist(df, 'A', 'B')
I saved it as a pickle
nx.write_gpickle(g, 'myGraph.gz')
I am now reading this graph for another project
g = nx.read_pickle('myGraph.gz')
I now have a datframe containing the information of some of the nodes in g.
df1
Node Y
0 359 0
1 576 1
2 329 1
3 278 0
4 100 0
5 437 1
I want to use the information df.Y for the performing the personalized pagerank only for the nodes in common between df and g. After the merge I would like to have something like the following.
d = pd.Series(df1['Y'], index=df1.index).to_dict()
ppr = nx.pagerank(g, alpha=0.85, personalization=d)
python pandas networkx
asked Nov 16 '18 at 11:44
emaxemax
1,21431235
add a comment |
I have a networkx graph g that I created from a pandas dataframe df and I saved.
df
A B
0 359 278
1 576 437
2 329 177
3 329 278
g = pd.from_edgelist(df, 'A', 'B')
I saved it as a pickle
nx.write_gpickle(g, 'myGraph.gz')
I am now reading this graph for another project
g = nx.read_pickle('myGraph.gz')
I now have a datframe containing the information of some of the nodes in g.
df1
Node Y
0 359 0
1 576 1
2 329 1
3 278 0
4 100 0
5 437 1
I want to use the information df.Y for the performing the personalized pagerank only for the nodes in common between df and g. After the merge I would like to have something like the following.
d = pd.Series(df1['Y'], index=df1.index).to_dict()
ppr = nx.pagerank(g, alpha=0.85, personalization=d)
python pandas networkx
asked Nov 16 '18 at 11:44
emaxemax
1,21431235
I have a networkx graph g that I created from a pandas dataframe df and I saved.
df
A B
0 359 278
1 576 437
2 329 177
3 329 278
g = pd.from_edgelist(df, 'A', 'B')
I saved it as a pickle
nx.write_gpickle(g, 'myGraph.gz')
I am now reading this graph for another project
g = nx.read_pickle('myGraph.gz')
I now have a datframe containing the information of some of the nodes in g.
df1
Node Y
0 359 0
1 576 1
2 329 1
3 278 0
4 100 0
5 437 1
I want to use the information df.Y for the performing the personalized pagerank only for the nodes in common between df and g. After the merge I would like to have something like the following.
d = pd.Series(df1['Y'], index=df1.index).to_dict()
ppr = nx.pagerank(g, alpha=0.85, personalization=d)
python pandas networkx
python pandas networkx
asked Nov 16 '18 at 11:44
emaxemax
1,21431235
asked Nov 16 '18 at 11:44
emaxemax
1,21431235
asked Nov 16 '18 at 11:44
emaxemax
1,21431235
asked Nov 16 '18 at 11:44
emaxemax
1,21431235
asked Nov 16 '18 at 11:44
emaxemax
1,21431235
1,21431235
add a comment |
add a comment |
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