1618 lines
86 KiB
Plaintext
1618 lines
86 KiB
Plaintext
{
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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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"# cadCAD Tutorials: The Robot and the Marbles, Networks Addition\n",
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"In [Part 2](https://github.com/BlockScience/SimCAD-Tutorials/blob/master/demos/robot-marbles-part-2/robot-marbles-part-2.ipynb) we introduced the 'language' in which a system must be described in order for it to be interpretable by cadCAD and some of the basic concepts of the library:\n",
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"* State Variables\n",
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"* Timestep\n",
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"* Policies\n",
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"* State Update Functions\n",
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"* Partial State Update Blocks\n",
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"* Simulation Configuration Parameters\n",
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"\n",
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"In the previous example, we observed how two robotic arms acting in parallel could result in counterintuitive system level behavior despite the simplicity of the individual robotic arm policies. \n",
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"In this notebook we'll introduce the concept of networks. This done by extending from two boxes of marbles to *n* boxes which are the nodes in our network. Furthermore, there are are going to be arms between some of the boxes but not others forming a network where the arms are the edges.\n",
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"\n",
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"__The robot and the marbles__ \n",
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"* Picture a set of n boxes (`balls`) with an integer number of marbles in each; a network of robotic arms is capable of taking a marble from their one of their boxes and dropping it into the other one.\n",
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"* Each robotic arm in the network only controls 2 boxes and they act by moving a marble from one box to the other.\n",
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"* Each robotic arm is programmed to take one marble at a time from the box containing the largest number of marbles and drop it in the other box. It repeats that process until the boxes contain an equal number of marbles.\n",
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"* For the purposes of our analysis of this system, suppose we are only interested in monitoring the number of marbles in only their two boxes."
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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": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"from cadCAD.engine import ExecutionMode, ExecutionContext, Executor\n",
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"from cadCAD.configuration import Configuration\n",
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"from cadCAD.configuration.utils.userDefinedObject import udoPipe, UDO\n",
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"import networkx as nx\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"import pandas as pd\n",
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"%matplotlib inline\n",
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"\n",
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"T = 50 #iterations in our simulation\n",
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"n=3 #number of boxes in our network\n",
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"m= 2 #for barabasi graph type number of edges is (n-2)*m\n",
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"\n",
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"G = nx.barabasi_albert_graph(n, m)\n",
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"k = len(G.edges)"
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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": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"balls = np.zeros(n,)\n",
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"\n",
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"for node in G.nodes:\n",
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" rv = np.random.randint(1,25)\n",
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" G.nodes[node]['initial_balls'] = rv\n",
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" balls[node] = rv"
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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": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"scale=100\n",
|
||
"nx.draw_kamada_kawai(G, node_size=balls*scale,labels=nx.get_node_attributes(G,'initial_balls'))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"initial_conditions = {'balls':balls, 'network':G}"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"#input the deltas along the edges and update the boxes\n",
|
||
"#mechanism: edge by node dimensional operator\n",
|
||
"# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # \n",
|
||
"# We make the state update functions less \"intelligent\",\n",
|
||
"# ie. they simply add the number of marbles specified in _input \n",
|
||
"# (which, per the policy function definition, may be negative)\n",
|
||
"\n",
|
||
"\n",
|
||
"def update_balls(params, step, sL, s, _input):\n",
|
||
" \n",
|
||
" delta_balls = _input['delta']\n",
|
||
" new_balls = s['balls']\n",
|
||
" for e in G.edges:\n",
|
||
" move_ball = delta_balls[e]\n",
|
||
" src = e[0]\n",
|
||
" dst = e[1]\n",
|
||
" if (new_balls[src] >= move_ball) and (new_balls[dst] >= -move_ball):\n",
|
||
" new_balls[src] = new_balls[src]-move_ball\n",
|
||
" new_balls[dst] = new_balls[dst]+move_ball\n",
|
||
" \n",
|
||
" \n",
|
||
" key = 'balls'\n",
|
||
" value = new_balls\n",
|
||
" \n",
|
||
" return (key, value)\n",
|
||
"\n",
|
||
"def update_network(params, step, sL, s, _input):\n",
|
||
" \n",
|
||
" new_nodes = _input['nodes']\n",
|
||
" new_edges = _input['edges']\n",
|
||
" new_balls = _input['quantity']\n",
|
||
" \n",
|
||
" graph = s['network']\n",
|
||
" \n",
|
||
" for node in new_nodes:\n",
|
||
" graph.add_node(node)\n",
|
||
" graph.nodes[node]['initial_balls'] = new_balls[node]\n",
|
||
" graph.nodes[node]['strat'] = _input['node_strats'][node]\n",
|
||
" \n",
|
||
" for edge in new_edges:\n",
|
||
" graph.add_edge(edge[0], edge[1])\n",
|
||
" graph.edges[edge]['strat'] = _input['edge_strats'][edge]\n",
|
||
" \n",
|
||
" \n",
|
||
" key = 'network'\n",
|
||
" value = graph\n",
|
||
" return (key, value)\n",
|
||
"\n",
|
||
"def update_network_balls(params, step, sL, s, _input):\n",
|
||
" \n",
|
||
" new_nodes = _input['nodes']\n",
|
||
" new_balls = _input['quantity']\n",
|
||
" balls = np.zeros(len(s['balls'])+len(new_nodes))\n",
|
||
" \n",
|
||
" for node in s['network'].nodes:\n",
|
||
" balls[node] = s['balls'][node]\n",
|
||
" \n",
|
||
" for node in new_nodes:\n",
|
||
" balls[node] = new_balls[node]\n",
|
||
" \n",
|
||
" key = 'balls'\n",
|
||
" value = balls\n",
|
||
" \n",
|
||
" return (key, value)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# this time lets make three kinds of robots\n",
|
||
"\n",
|
||
"def greedy_robot(src_balls, dst_balls):\n",
|
||
" \n",
|
||
" #robot wishes to accumlate balls at its source\n",
|
||
" #takes half of its neighbors balls\n",
|
||
" if src_balls < dst_balls:\n",
|
||
" delta = -np.floor(dst_balls/2)\n",
|
||
" else:\n",
|
||
" delta = 0\n",
|
||
" \n",
|
||
" return delta\n",
|
||
"\n",
|
||
"def fair_robot(src_balls, dst_balls):\n",
|
||
" \n",
|
||
" #robot follows the simple balancing rule\n",
|
||
" delta = np.sign(src_balls-dst_balls)\n",
|
||
" \n",
|
||
" return delta\n",
|
||
"\n",
|
||
"\n",
|
||
"def giving_robot(src_balls, dst_balls):\n",
|
||
" \n",
|
||
" #robot wishes to gice away balls one at a time\n",
|
||
" if src_balls > 0:\n",
|
||
" delta = 1\n",
|
||
" else:\n",
|
||
" delta = 0\n",
|
||
" \n",
|
||
" return delta"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"#in the previous version the robots were assigned to the edges\n",
|
||
"#moving towards an agent based model formulation we assign the stratgies\n",
|
||
"#instead to the nodes\n",
|
||
"robot_strategies = [greedy_robot,fair_robot, giving_robot]\n",
|
||
"\n",
|
||
"for node in G.nodes:\n",
|
||
" nstrats = len(robot_strategies)\n",
|
||
" rv = np.random.randint(0,nstrats)\n",
|
||
" G.nodes[node]['strat'] = robot_strategies[rv]\n",
|
||
"\n",
|
||
"for e in G.edges:\n",
|
||
" owner_node = e[0]\n",
|
||
" G.edges[e]['strat'] = G.nodes[owner_node]['strat']"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"#Policy: node by edge dimensional operator\n",
|
||
"#input the states of the boxes output the deltas along the edges\n",
|
||
"# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # \n",
|
||
"# We specify the robotic networks logic in a Policy Function\n",
|
||
"# unlike previous examples our policy controls a vector valued action, defined over the edges of our network\n",
|
||
"def robotic_network(params, step, sL, s):\n",
|
||
" \n",
|
||
" graph = s['network']\n",
|
||
" \n",
|
||
" \n",
|
||
" delta_balls = {}\n",
|
||
" for e in graph.edges:\n",
|
||
" src = e[0]\n",
|
||
" src_balls = s['balls'][src]\n",
|
||
" dst = e[1]\n",
|
||
" dst_balls = s['balls'][dst]\n",
|
||
" \n",
|
||
" #transfer balls according to specific robot strat\n",
|
||
" strat = graph.edges[e]['strat']\n",
|
||
" delta_balls[e] = strat(src_balls,dst_balls)\n",
|
||
" \n",
|
||
" return_dict = {'nodes': [],'edges': {}, 'quantity': {}, 'node_strats':{},'edge_strats':{},'delta': delta_balls}\n",
|
||
"\n",
|
||
" return(return_dict)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"def agent_arrival(params, step, sL, s):\n",
|
||
" \n",
|
||
" node= len(s['network'].nodes)\n",
|
||
" edge_list = s['network'].edges\n",
|
||
" \n",
|
||
" #choose a m random edges without replacement\n",
|
||
" #new = np.random.choose(edgelist,m) \n",
|
||
" new = [0, 1]#tester\n",
|
||
" \n",
|
||
" nodes = [node]\n",
|
||
" edges = [(node,new_node) for new_node in new]\n",
|
||
" \n",
|
||
" initial_balls = {node:np.random.randint(1,25) }\n",
|
||
" \n",
|
||
" rv = np.random.randint(0,nstrats)\n",
|
||
" node_strat = {node: robot_strategies[rv]}\n",
|
||
" \n",
|
||
" edge_strats = {e: robot_strategies[rv] for e in edges}\n",
|
||
"\n",
|
||
" return_dict = {'nodes': nodes,\n",
|
||
" 'edges': edges, \n",
|
||
" 'quantity':initial_balls, \n",
|
||
" 'node_strats':node_strat,\n",
|
||
" 'edge_strats':edge_strats,\n",
|
||
" 'delta': np.zeros(node+1)\n",
|
||
" } \n",
|
||
" return(return_dict)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # \n",
|
||
"# In the Partial State Update Blocks, the user specifies if state update functions will be run in series or in parallel\n",
|
||
"partial_state_update_blocks = [\n",
|
||
" { \n",
|
||
" 'policies': { # The following policy functions will be evaluated and their returns will be passed to the state update functions\n",
|
||
" 'p1': robotic_network\n",
|
||
" },\n",
|
||
" 'variables': { # The following state variables will be updated simultaneously\n",
|
||
" 'balls': update_balls\n",
|
||
" \n",
|
||
" }\n",
|
||
" },\n",
|
||
" {\n",
|
||
" 'policies': { # The following policy functions will be evaluated and their returns will be passed to the state update functions\n",
|
||
" 'p1': agent_arrival\n",
|
||
" },\n",
|
||
" 'variables': { # The following state variables will be updated simultaneously\n",
|
||
" 'network': update_network,\n",
|
||
" 'balls': update_network_balls\n",
|
||
" }\n",
|
||
" }\n",
|
||
"]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # \n",
|
||
"# Settings of general simulation parameters, unrelated to the system itself\n",
|
||
"# `T` is a range with the number of discrete units of time the simulation will run for;\n",
|
||
"# `N` is the number of times the simulation will be run (Monte Carlo runs)\n",
|
||
"# In this example, we'll run the simulation once (N=1) and its duration will be of 10 timesteps\n",
|
||
"# We'll cover the `M` key in a future article. For now, let's leave it empty\n",
|
||
"simulation_parameters = {\n",
|
||
" 'T': range(T),\n",
|
||
" 'N': 1,\n",
|
||
" 'M': {}\n",
|
||
"}"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # \n",
|
||
"# The configurations above are then packaged into a `Configuration` object\n",
|
||
"config = Configuration(initial_state=initial_conditions, #dict containing variable names and initial values\n",
|
||
" partial_state_update_blocks=partial_state_update_blocks, #dict containing state update functions\n",
|
||
" sim_config=simulation_parameters #dict containing simulation parameters\n",
|
||
" )"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"single_proc: [<cadCAD.configuration.Configuration object at 0x1017d5edd8>]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"exec_mode = ExecutionMode()\n",
|
||
"exec_context = ExecutionContext(exec_mode.single_proc)\n",
|
||
"executor = Executor(exec_context, [config]) # Pass the configuration object inside an array\n",
|
||
"raw_result, tensor = executor.main() # The `main()` method returns a tuple; its first elements contains the raw results"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 16,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df = pd.DataFrame(raw_result)\n",
|
||
"balls_list = [b for b in df.balls]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
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|
||
" .dataframe tbody tr th {\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <th></th>\n",
|
||
" <th>balls</th>\n",
|
||
" <th>network</th>\n",
|
||
" <th>run</th>\n",
|
||
" <th>substep</th>\n",
|
||
" <th>timestep</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>2</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>1</td>\n",
|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>3</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>7</th>\n",
|
||
" <td>[25.0, 12.0, 16.0, 10.0, 9.0, 24.0]</td>\n",
|
||
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|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>4</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>8</th>\n",
|
||
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|
||
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|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>4</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9</th>\n",
|
||
" <td>[25.0, 11.0, 17.0, 10.0, 9.0, 24.0, 14.0]</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>5</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>[25.0, 11.0, 17.0, 10.0, 9.0, 24.0, 14.0, 5.0]</td>\n",
|
||
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|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>5</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>11</th>\n",
|
||
" <td>[25.0, 10.0, 18.0, 10.0, 9.0, 24.0, 14.0, 5.0]</td>\n",
|
||
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|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>6</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>12</th>\n",
|
||
" <td>[25.0, 10.0, 18.0, 10.0, 9.0, 24.0, 14.0, 5.0,...</td>\n",
|
||
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|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>6</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>13</th>\n",
|
||
" <td>[25.0, 9.0, 19.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>7</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>14</th>\n",
|
||
" <td>[25.0, 9.0, 19.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>7</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>15</th>\n",
|
||
" <td>[25.0, 8.0, 20.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>8</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>16</th>\n",
|
||
" <td>[25.0, 8.0, 20.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>8</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>17</th>\n",
|
||
" <td>[25.0, 7.0, 21.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>9</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>18</th>\n",
|
||
" <td>[25.0, 7.0, 21.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>9</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>19</th>\n",
|
||
" <td>[25.0, 6.0, 22.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>10</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>20</th>\n",
|
||
" <td>[25.0, 6.0, 22.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>10</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>21</th>\n",
|
||
" <td>[25.0, 5.0, 23.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>11</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>22</th>\n",
|
||
" <td>[25.0, 5.0, 23.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>11</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>23</th>\n",
|
||
" <td>[25.0, 4.0, 24.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>12</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>24</th>\n",
|
||
" <td>[25.0, 4.0, 24.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>12</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>25</th>\n",
|
||
" <td>[25.0, 3.0, 25.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>13</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>26</th>\n",
|
||
" <td>[25.0, 3.0, 25.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>13</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>27</th>\n",
|
||
" <td>[25.0, 2.0, 26.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>14</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>28</th>\n",
|
||
" <td>[25.0, 2.0, 26.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>14</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>29</th>\n",
|
||
" <td>[38.0, 1.0, 14.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>15</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>71</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>36</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>72</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>36</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>73</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>37</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>74</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>37</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>75</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>38</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>76</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>38</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>77</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>39</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>78</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>39</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>79</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>40</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>80</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>40</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>81</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>41</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>82</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>41</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>83</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>42</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>84</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>42</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>85</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>43</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>86</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>43</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>87</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>44</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>88</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>44</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>89</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>45</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>90</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>45</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>91</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>46</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>92</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>46</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>93</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>47</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>94</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>47</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>95</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>48</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>96</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>48</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>97</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>49</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>98</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>49</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>50</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>100</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>50</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>101 rows × 5 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
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|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>balls</th>\n",
|
||
" <th>network</th>\n",
|
||
" <th>run</th>\n",
|
||
" <th>substep</th>\n",
|
||
" <th>timestep</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>[13.0, 16.0, 24.0]</td>\n",
|
||
" <td>(0, 1, 2)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>[25.0, 15.0, 13.0]</td>\n",
|
||
" <td>(0, 1, 2, 3)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>[25.0, 15.0, 13.0, 10.0]</td>\n",
|
||
" <td>(0, 1, 2, 3)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>1</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>[25.0, 14.0, 14.0, 10.0]</td>\n",
|
||
" <td>(0, 1, 2, 3, 4)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>[25.0, 14.0, 14.0, 10.0, 9.0]</td>\n",
|
||
" <td>(0, 1, 2, 3, 4)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>2</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>[25.0, 13.0, 15.0, 10.0, 9.0]</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>3</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>6</th>\n",
|
||
" <td>[25.0, 13.0, 15.0, 10.0, 9.0, 24.0]</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>3</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>7</th>\n",
|
||
" <td>[25.0, 12.0, 16.0, 10.0, 9.0, 24.0]</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>4</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>8</th>\n",
|
||
" <td>[25.0, 12.0, 16.0, 10.0, 9.0, 24.0, 14.0]</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>4</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>9</th>\n",
|
||
" <td>[25.0, 11.0, 17.0, 10.0, 9.0, 24.0, 14.0]</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>5</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>[25.0, 11.0, 17.0, 10.0, 9.0, 24.0, 14.0, 5.0]</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>5</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>11</th>\n",
|
||
" <td>[25.0, 10.0, 18.0, 10.0, 9.0, 24.0, 14.0, 5.0]</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>6</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>12</th>\n",
|
||
" <td>[25.0, 10.0, 18.0, 10.0, 9.0, 24.0, 14.0, 5.0,...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>6</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>13</th>\n",
|
||
" <td>[25.0, 9.0, 19.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>7</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>14</th>\n",
|
||
" <td>[25.0, 9.0, 19.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>7</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>15</th>\n",
|
||
" <td>[25.0, 8.0, 20.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>8</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>16</th>\n",
|
||
" <td>[25.0, 8.0, 20.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>8</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>17</th>\n",
|
||
" <td>[25.0, 7.0, 21.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>9</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>18</th>\n",
|
||
" <td>[25.0, 7.0, 21.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>9</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>19</th>\n",
|
||
" <td>[25.0, 6.0, 22.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>10</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>20</th>\n",
|
||
" <td>[25.0, 6.0, 22.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>10</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>21</th>\n",
|
||
" <td>[25.0, 5.0, 23.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>11</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>22</th>\n",
|
||
" <td>[25.0, 5.0, 23.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>11</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>23</th>\n",
|
||
" <td>[25.0, 4.0, 24.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>12</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>24</th>\n",
|
||
" <td>[25.0, 4.0, 24.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>12</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>25</th>\n",
|
||
" <td>[25.0, 3.0, 25.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>13</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>26</th>\n",
|
||
" <td>[25.0, 3.0, 25.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>13</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>27</th>\n",
|
||
" <td>[25.0, 2.0, 26.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>14</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>28</th>\n",
|
||
" <td>[25.0, 2.0, 26.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>14</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>29</th>\n",
|
||
" <td>[38.0, 1.0, 14.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>15</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>71</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>36</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>72</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>36</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>73</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>37</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>74</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>37</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>75</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>38</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>76</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>38</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>77</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>39</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>78</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>39</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>79</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>40</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>80</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>40</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>81</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>41</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>82</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>41</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>83</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>42</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>84</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>42</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>85</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>43</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>86</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>43</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>87</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>44</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>88</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>44</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>89</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>45</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>90</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>45</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>91</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>46</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>92</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>46</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>93</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>47</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>94</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>47</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>95</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>48</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>96</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>48</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>97</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>49</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>98</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>49</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>99</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>50</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>100</th>\n",
|
||
" <td>[38.0, 0.0, 15.0, 10.0, 9.0, 24.0, 14.0, 5.0, ...</td>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>50</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>101 rows × 5 columns</p>\n",
|
||
"</div>"
|
||
]
|
||
},
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"ename": "ValueError",
|
||
"evalue": "setting an array element with a sequence.",
|
||
"traceback": [
|
||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
|
||
"\u001b[0;32m<ipython-input-17-14985419ff14>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtimestep\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mballs_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxlabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'iteration'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mylabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'number of balls'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'balls in each box'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlegend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Box #'\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mnode\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mncol\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||
"\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/pyplot.py\u001b[0m in \u001b[0;36mplot\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 3356\u001b[0m mplDeprecation)\n\u001b[1;32m 3357\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3358\u001b[0;31m \u001b[0mret\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3359\u001b[0m \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3360\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_hold\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwashold\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||
"\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/__init__.py\u001b[0m in \u001b[0;36minner\u001b[0;34m(ax, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1853\u001b[0m \u001b[0;34m\"the Matplotlib list!)\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mlabel_namer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1854\u001b[0m RuntimeWarning, stacklevel=2)\n\u001b[0;32m-> 1855\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1856\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1857\u001b[0m inner.__doc__ = _add_data_doc(inner.__doc__,\n",
|
||
"\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axes/_axes.py\u001b[0m in \u001b[0;36mplot\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1526\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1527\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_lines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1528\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_line\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1529\u001b[0m \u001b[0mlines\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1530\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
|
||
"\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36madd_line\u001b[0;34m(self, line)\u001b[0m\n\u001b[1;32m 1930\u001b[0m \u001b[0mline\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_clip_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpatch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1931\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1932\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_update_line_limits\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1933\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mline\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_label\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1934\u001b[0m \u001b[0mline\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_label\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'_line%d'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlines\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||
"\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36m_update_line_limits\u001b[0;34m(self, line)\u001b[0m\n\u001b[1;32m 1952\u001b[0m \u001b[0mFigures\u001b[0m \u001b[0mout\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mdata\u001b[0m \u001b[0mlimit\u001b[0m \u001b[0mof\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mgiven\u001b[0m \u001b[0mline\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mupdating\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataLim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1953\u001b[0m \"\"\"\n\u001b[0;32m-> 1954\u001b[0;31m \u001b[0mpath\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mline\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1955\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvertices\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msize\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1956\u001b[0m \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||
"\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/lines.py\u001b[0m in \u001b[0;36mget_path\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 949\u001b[0m \"\"\"\n\u001b[1;32m 950\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_invalidy\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_invalidx\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 951\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecache\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 952\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 953\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
|
||
"\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/lines.py\u001b[0m in \u001b[0;36mrecache\u001b[0;34m(self, always)\u001b[0m\n\u001b[1;32m 655\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0malways\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_invalidy\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 656\u001b[0m \u001b[0myconv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvert_yunits\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_yorig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 657\u001b[0;31m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_to_unmasked_float_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0myconv\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 658\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 659\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_y\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||
"\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/matplotlib/cbook/__init__.py\u001b[0m in \u001b[0;36m_to_unmasked_float_array\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m 2048\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfilled\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnan\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2049\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2050\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2051\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2052\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
|
||
"\u001b[0;32m/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/numpy/core/numeric.py\u001b[0m in \u001b[0;36masarray\u001b[0;34m(a, dtype, order)\u001b[0m\n\u001b[1;32m 490\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 491\u001b[0m \"\"\"\n\u001b[0;32m--> 492\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morder\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0morder\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 493\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 494\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
|
||
"\u001b[0;31mValueError\u001b[0m: setting an array element with a sequence."
|
||
],
|
||
"output_type": "error"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": "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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"plt.plot(df.timestep.values, balls_list)\n",
|
||
"plt.xlabel('iteration')\n",
|
||
"plt.ylabel('number of balls')\n",
|
||
"plt.title('balls in each box')\n",
|
||
"plt.legend(['Box #'+str(node) for node in range(n)], ncol = 2)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"end_state_balls = np.array([b for b in balls_list[-1]])\n",
|
||
"avg_balls = np.array([np.mean(b) for b in balls_list])\n",
|
||
"\n",
|
||
"for node in G.nodes:\n",
|
||
" G.nodes[node]['final_balls'] = end_state_balls[node]\n",
|
||
" G.nodes[node]['avg_balls'] = avg_balls[node]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"cmap = plt.cm.jet\n",
|
||
"Nc = cmap.N\n",
|
||
"Ns = len(robot_strategies)\n",
|
||
"d = int(Nc/Ns)\n",
|
||
"\n",
|
||
"k = len(G.edges)\n",
|
||
"strat_color = []\n",
|
||
"for e in G.edges:\n",
|
||
" \n",
|
||
" for i in range(Ns):\n",
|
||
" if G.edges[e]['strat']==robot_strategies[i]:\n",
|
||
" color = cmap(i*d)\n",
|
||
" G.edges[e]['color'] = color\n",
|
||
" strat_color = strat_color+[color]\n",
|
||
" "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"nx.draw_kamada_kawai(G, node_size=end_state_balls*scale, labels=nx.get_node_attributes(G,'final_balls'), edge_color=strat_color)\n",
|
||
"print(end_state_balls)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"rolling_avg_balls = np.zeros((T+1, n))\n",
|
||
"for t in range(T+1):\n",
|
||
" for node in G.nodes:\n",
|
||
" for tau in range(t):\n",
|
||
" rolling_avg_balls[t,node] = (tau)/(tau+1)*rolling_avg_balls[t, node]+ 1/(tau+1)*balls_list[tau][node]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"plt.plot(range(len(rolling_avg_balls)),rolling_avg_balls)\n",
|
||
"plt.xlabel('iteration')\n",
|
||
"plt.ylabel('number of balls')\n",
|
||
"plt.title('time average balls in each box')\n",
|
||
"plt.legend(['Box #'+str(node) for node in range(n)], ncol = 2)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"for node in G.nodes:\n",
|
||
" G.nodes[node]['avg_balls'] = int(10*(rolling_avg_balls[node][-1]))/10\n",
|
||
"\n",
|
||
"nx.draw_kamada_kawai(G, node_size=avg_balls*scale, labels=nx.get_node_attributes(G,'avg_balls'))\n",
|
||
"print(end_state_balls)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"cmap = plt.cm.jet\n",
|
||
"Nc = cmap.N\n",
|
||
"Nt = len(simulation_parameters['T'])\n",
|
||
"dN = int(Nc/Nt)\n",
|
||
"cmaplist = [cmap(i*dN) for i in range(Nt)]\n",
|
||
"\n",
|
||
"for t in simulation_parameters['T']:\n",
|
||
" state = np.array([b for b in balls_list[t]])\n",
|
||
" nx.draw_kamada_kawai(G, node_size=state*scale, alpha = .4/(t+1), node_color = cmaplist[t])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.6.5"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|