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authorJarrod Millman <jarrod.millman@gmail.com>2019-04-04 12:49:24 -0700
committerJarrod Millman <jarrod.millman@gmail.com>2019-04-04 12:49:24 -0700
commitae7a5bd05eaf9e9acf0b2ef5ae30179cd7522a1f (patch)
treeb9a57d49a96b496e661ee52e743fe60a8d7b61e0 /examples/graph/expected_degree_sequence.py
parentbae9b8a554d486d75fc1989aac498c89e361a847 (diff)
downloadnetworkx-ae7a5bd05eaf9e9acf0b2ef5ae30179cd7522a1f.tar.gz
Ensure sphinx-gallery tries running all the examples
It only runs scripts starting w/ plot_ by default.
Diffstat (limited to 'examples/graph/expected_degree_sequence.py')
-rw-r--r--examples/graph/expected_degree_sequence.py32
1 files changed, 0 insertions, 32 deletions
diff --git a/examples/graph/expected_degree_sequence.py b/examples/graph/expected_degree_sequence.py
deleted file mode 100644
index 78b5bf90..00000000
--- a/examples/graph/expected_degree_sequence.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#!/usr/bin/env python
-"""
-========================
-Expected Degree Sequence
-========================
-
-Random graph from given degree sequence.
-"""
-# Author: Aric Hagberg (hagberg@lanl.gov)
-
-# Copyright (C) 2006-2019 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# All rights reserved.
-# BSD license.
-
-import networkx as nx
-from networkx.generators.degree_seq import expected_degree_graph
-
-# make a random graph of 500 nodes with expected degrees of 50
-n = 500 # n nodes
-p = 0.1
-w = [p * n for i in range(n)] # w = p*n for all nodes
-G = expected_degree_graph(w) # configuration model
-print("Degree histogram")
-print("degree (#nodes) ****")
-dh = nx.degree_histogram(G)
-low = min(nx.degree(G))
-for i in range(low, len(dh)):
- bar = ''.join(dh[i] * ['*'])
- print("%2s (%2s) %s" % (i, dh[i], bar))