From fd4ecb383967e04e75a7589eadaa38fba3612e27 Mon Sep 17 00:00:00 2001 From: zixuanzh Date: Tue, 1 Jan 2019 16:16:43 +0800 Subject: [PATCH] add charts --- demos/susceptible_infected_recovered.ipynb | 184 ++++++++++++++++++--- 1 file changed, 158 insertions(+), 26 deletions(-) diff --git a/demos/susceptible_infected_recovered.ipynb b/demos/susceptible_infected_recovered.ipynb index a5d4871..26608b7 100644 --- a/demos/susceptible_infected_recovered.ipynb +++ b/demos/susceptible_infected_recovered.ipynb @@ -199,7 +199,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c288ce264eca4566ab9fdc7db7e801f3" + "model_id": "8ebf7dd9dfe842e597a6e99927e6c78c" } }, "metadata": {}, @@ -245,18 +245,18 @@ " fig = plt.figure(figsize=(7, 14))\n", " \n", " sir = fig.add_subplot(3, 1, 1)\n", - " sir.plot('timestamp', 'Ps', data=df, marker='', color='skyblue', linewidth=2)\n", + " sir.plot('timestamp', 'Ps', data=df, marker='', color='C0', linewidth=2)\n", " sir.plot('timestamp', 'Pi', data=df, marker='', color='orange', linewidth=2)\n", " sir.plot('timestamp', 'Pr', data=df, marker='', color='green', linewidth=2)\n", " sir.legend()\n", " \n", " beta_gamma = fig.add_subplot(3, 1, 2)\n", - " beta_gamma.plot('timestamp', 'beta', data=df, marker='', color='skyblue', linewidth=2)\n", + " beta_gamma.plot('timestamp', 'beta', data=df, marker='', color='C0', linewidth=2)\n", " beta_gamma.plot('timestamp', 'gamma', data=df, marker='', color='orange', linewidth=2)\n", " beta_gamma.legend()\n", " \n", " budget_pi = fig.add_subplot(3, 1, 3)\n", - " budget_pi.plot('timestamp', 'Budget', data=df, marker='', color='skyblue', linewidth=2)\n", + " budget_pi.plot('timestamp', 'Budget', data=df, marker='', color='C0', linewidth=2)\n", " budget_pi.plot('timestamp', 'Pi', data=df, marker='', color='orange', linewidth=2)\n", " budget_pi.legend()\n", " \n", @@ -276,36 +276,168 @@ "cell_type": "code", "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "single_proc: []\n" + ] + } + ], "source": [ - "# config = Configuration(\n", - "# sim_config=sim_config,\n", - "# state_dict=initial_condition,\n", - "# seed=seed,\n", - "# exogenous_states=exogenous_states,\n", - "# env_processes=env_processes,\n", - "# mechanisms=mechanisms)\n", + "config = Configuration(\n", + " sim_config=sim_config,\n", + " state_dict=initial_condition,\n", + " seed=seed,\n", + " exogenous_states=exogenous_states,\n", + " env_processes=env_processes,\n", + " mechanisms=mechanisms)\n", "\n", - "# from SimCAD.engine import ExecutionMode, ExecutionContext, Executor\n", - "# 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()\n", - "# df = pd.DataFrame(raw_result)" + "from SimCAD.engine import ExecutionMode, ExecutionContext, Executor\n", + "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()\n", + "df = pd.DataFrame(raw_result)" ] }, { "cell_type": "code", "execution_count": 6, - "metadata": { - "collapsed": true - }, - "outputs": [], + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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PsPiPr
count151.000000151.000000151.000000
mean315.519268150.861455543.619277
std262.34312623.127729258.137254
min46.76772410.0000000.000000
25%98.897388142.907707369.363864
50%222.600751151.473138644.034432
75%470.722775163.532271763.921377
max1000.000000179.316172797.102843
\n", + "
" + ], + "text/plain": [ + " Ps Pi Pr\n", + "count 151.000000 151.000000 151.000000\n", + "mean 315.519268 150.861455 543.619277\n", + "std 262.343126 23.127729 258.137254\n", + "min 46.767724 10.000000 0.000000\n", + "25% 98.897388 142.907707 369.363864\n", + "50% 222.600751 151.473138 644.034432\n", + "75% 470.722775 163.532271 763.921377\n", + "max 1000.000000 179.316172 797.102843" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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jIYOnz336tOtNHZnKCwt2c/k/f3Aqjwiy8b97x9E1umN1kyOEaD1e1deI1vox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\nur+tO8bR0mSzvAoo1FpXaq33YxxtZLi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AdCJJYm3lTGIRksSEh/j5mSTX1GDT/Seb56YK092X11ZC/j7zZW/QM9DfZh7eDo50L72B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\nTh1EKTVXKbVBKbUhNzf3+BsIIYTwCV0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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# df.plot('timestamp', ['Ps','Pi', 'Pr'])\n", - "# df.plot('timestamp', ['beta', 'gamma'])\n", - "# df.plot('timestamp', ['Budget', 'Pi'])\n", - "# df[['Ps','Pi', 'Pr']].describe()" + "df.plot('timestamp', ['Ps','Pi', 'Pr'])\n", + "df.plot('timestamp', ['beta', 'gamma'])\n", + "df.plot('timestamp', ['Budget', 'Pi'])\n", + "df[['Ps','Pi', 'Pr']].describe()" ] } ],