Converting to and from other data formats¶
To NetworkX Graph¶
Functions to convert NetworkX graphs to and from other formats.
The preferred way of converting data to a NetworkX graph is through the graph constuctor. The constructor calls the to_networkx_graph() function which attempts to guess the input type and convert it automatically.
Examples
Create a graph with a single edge from a dictionary of dictionaries
>>> d={0: {1: 1}} # dict-of-dicts single edge (0,1)
>>> G=nx.Graph(d)
See also
nx_agraph
, nx_pydot
to_networkx_graph (data[, create_using, …]) |
Make a NetworkX graph from a known data structure. |
Dictionaries¶
to_dict_of_dicts (G[, nodelist, edge_data]) |
Return adjacency representation of graph as a dictionary of dictionaries. |
from_dict_of_dicts (d[, create_using, …]) |
Return a graph from a dictionary of dictionaries. |
Lists¶
to_dict_of_lists (G[, nodelist]) |
Return adjacency representation of graph as a dictionary of lists. |
from_dict_of_lists (d[, create_using]) |
Return a graph from a dictionary of lists. |
to_edgelist (G[, nodelist]) |
Return a list of edges in the graph. |
from_edgelist (edgelist[, create_using]) |
Return a graph from a list of edges. |
Numpy¶
Functions to convert NetworkX graphs to and from numpy/scipy matrices.
The preferred way of converting data to a NetworkX graph is through the graph constuctor. The constructor calls the to_networkx_graph() function which attempts to guess the input type and convert it automatically.
Examples
Create a 10 node random graph from a numpy matrix
>>> import numpy as np
>>> a = np.reshape(np.random.random_integers(0, 1, size=100), (10, 10))
>>> D = nx.DiGraph(a)
or equivalently
>>> D = nx.to_networkx_graph(a, create_using=nx.DiGraph())
See also
nx_agraph
, nx_pydot
to_numpy_matrix (G[, nodelist, dtype, order, …]) |
Return the graph adjacency matrix as a NumPy matrix. |
to_numpy_recarray (G[, nodelist, dtype, order]) |
Return the graph adjacency matrix as a NumPy recarray. |
from_numpy_matrix (A[, parallel_edges, …]) |
Return a graph from numpy matrix. |
Scipy¶
to_scipy_sparse_matrix (G[, nodelist, dtype, …]) |
Return the graph adjacency matrix as a SciPy sparse matrix. |
from_scipy_sparse_matrix (A[, …]) |
Creates a new graph from an adjacency matrix given as a SciPy sparse matrix. |
Pandas¶
to_pandas_adjacency (G[, nodelist, dtype, …]) |
Return the graph adjacency matrix as a Pandas DataFrame. |
from_pandas_adjacency (df[, create_using]) |
Return a graph from Pandas DataFrame. |
to_pandas_edgelist (G[, source, target, …]) |
Return the graph edge list as a Pandas DataFrame. |
from_pandas_edgelist (df[, source, target, …]) |
Return a graph from Pandas DataFrame containing an edge list. |