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| author | Ross Barnowski <rossbar@berkeley.edu> | 2021-04-09 12:12:04 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-04-09 21:12:04 +0200 |
| commit | f97705493ac84f99aa6ab5aae3129d5dc2578e2c (patch) | |
| tree | c22364575b74c53ceb49d280a9e2e994e73a26fc | |
| parent | e85ec084b792bca13e6f26034fce120762b18eb1 (diff) | |
| download | networkx-f97705493ac84f99aa6ab5aae3129d5dc2578e2c.tar.gz | |
rm nx import from docstring example. (#4738)
| -rw-r--r-- | networkx/algorithms/approximation/clustering_coefficient.py | 1 |
1 files changed, 0 insertions, 1 deletions
diff --git a/networkx/algorithms/approximation/clustering_coefficient.py b/networkx/algorithms/approximation/clustering_coefficient.py index ec61cb83..63409bc8 100644 --- a/networkx/algorithms/approximation/clustering_coefficient.py +++ b/networkx/algorithms/approximation/clustering_coefficient.py @@ -39,7 +39,6 @@ def average_clustering(G, trials=1000, seed=None): Examples -------- - >>> import networkx as nx >>> from networkx.algorithms import approximation >>> G = nx.erdos_renyi_graph(10, 0.2, seed=10) >>> approximation.average_clustering(G, trials=1000, seed=10) |