86 lines
22 KiB
Plaintext
86 lines
22 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Sandbox"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## How to plot a directed Graph:\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "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"text/plain": [
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"<matplotlib.figure.Figure at 0x7f449722f630>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import networkx as nx\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"fig_1, ax_1 = plt.subplots()\n",
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"\n",
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"G = nx.DiGraph()\n",
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"G.add_nodes_from(range(1,10))\n",
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"G.add_edges_from([(i,1) for i in range(2,10)])\n",
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"\n",
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"nx.draw(G)\n",
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"\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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