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""" | |
Demonstration of how to return an image generated with numpy and a plot | |
generated with matplotlib using the Flask web server. | |
Requirements: numpy, flask, scikit-image, matplotlib. | |
""" | |
import cStringIO as StringIO | |
from flask import Flask, send_file | |
import numpy as np |
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{ | |
"metadata": { | |
"name": "imagenet2" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ |
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# assumes there is a dictionary that has keys | |
# 'g': the nx.DiGraph graph | |
# 'nodes': list of node names | |
# 'heights': list of integer heights of the nodes | |
fig = plt.figure() | |
ax = fig.add_subplot(111) | |
g = graph['g'] | |
nodes = graph['nodes'] |
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{ | |
"metadata": { | |
"name": "" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"metadata": { | |
"name": "" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ |
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