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@sevamoo
Last active April 8, 2018 14:05
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import warnings\n",
"warnings.filterwarnings(\"ignore\")\n",
"import pandas as pd\n",
"import numpy as np\n",
"from matplotlib import pyplot as plt\n",
"pd.__version__\n",
"import sys\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import glob\n",
"import os\n",
"path = '/All_Files/Files/Postdoc research 2015/Papers/WaterFlow/broken pipes/Selected_for_paper/'\n",
"emu_names = []\n",
"sim_names = []\n",
"for filename in glob.glob(os.path.join(path, '*.csv')):\n",
"# filename = filename.replace(path,'').replace('_','').replace('-','').replace('.png','')\n",
"# for dig in range(10):\n",
"# filename = filename.replace(str(dig),'')\n",
" if 'Sim.csv' in filename:\n",
" sim_names.append(filename)\n",
" elif 'Emu.csv' in filename:\n",
" emu_names.append(filename)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2\n",
"2\n"
]
}
],
"source": [
"print (len(sim_names))\n",
"print (len(emu_names))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'/All_Files/Files/Postdoc research 2015/Papers/WaterFlow/broken pipes/Selected_for_paper/test_197 1636 Emu.csv'"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sim_names[0]\n",
"emu_names[0]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Distribution of errors for Test_0"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {},
"outputs": [],
"source": [
"experiment_no = 0\n",
"DF_sim = pd.read_csv(sim_names[experiment_no])\n",
"DF_emu = pd.read_csv(emu_names[experiment_no])\n",
"\n",
"\n",
"if experiment_no==0:\n",
" source_position = np.asarray(emu_names[experiment_no].replace(path,'').replace(' Emu.csv','').replace('test_','').split()).astype(float)\n",
"\n",
"if experiment_no==1:\n",
" source_position = np.asarray(emu_names[experiment_no].replace(path,'').replace(' Emu.csv','').replace('train_','').split()).astype(float)"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11b2ff8d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"\n",
"\n",
"\n",
"source_position = source_position/20\n",
"source_position*20\n",
"\n",
"fig = plt.figure(figsize=(15,7))\n",
"plt.subplot(1,3,1)\n",
"pl = plt.imshow(DF_sim.values[:].T,plt.cm.coolwarm)\n",
"plt.colorbar(pl,shrink=.5)\n",
"plt.plot(source_position[0],100-source_position[1],'og',markersize=10,markerfacecolor='g',alpha=.8,markeredgecolor='k',markeredgewidth=5,label='Source Position')\n",
"plt.legend(bbox_to_anchor=(.4,-.10))\n",
"\n",
"plt.title('Simulated Final Water Levels')\n",
"plt.subplot(1,3,2)\n",
"\n",
"pl = plt.imshow(DF_emu.values[:].T,plt.cm.coolwarm)\n",
"plt.plot(source_position[0],100-source_position[1],'og',markersize=10,markerfacecolor='g',alpha=.5,markeredgecolor='k',markeredgewidth=5)\n",
"plt.title('Emulated Final Water Levels')\n",
"\n",
"plt.colorbar(pl,shrink=.5)\n",
"\n",
"plt.subplot(1,3,3)\n",
"plt.title('Absolute Error')\n",
"## It is not absolute relatice error, it is just absolute\n",
"Absolute_Error = abs(DF_sim.values[:]-DF_emu.values[:])\n",
"pl = plt.imshow(Absolute_Error.T,plt.cm.coolwarm)\n",
"plt.plot(source_position[0],100-source_position[1],'og',markersize=10,markerfacecolor='g',alpha=.5,markeredgecolor='k',markeredgewidth=5,label='source position')\n",
"\n",
"plt.colorbar(pl,shrink=.5)\n",
"plt.tight_layout()\n",
"\n",
"\n",
"if experiment_no==0:\n",
" fig.savefig(path+'/Test_0.png',dpi=300)\n",
"if experiment_no==1:\n",
" fig.savefig(path+'/Train_3.png',dpi=300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Distribution of errors for Test_0"
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<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",
" }\n",
"\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>0</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>10000.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>0.002918</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>0.008830</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>60%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>70%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>80%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>90%</th>\n",
" <td>0.009474</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95%</th>\n",
" <td>0.019526</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>0.072283</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 0\n",
"count 10000.000000\n",
"mean 0.002918\n",
"std 0.008830\n",
"min 0.000000\n",
"10% 0.000000\n",
"20% 0.000000\n",
"30% 0.000000\n",
"40% 0.000000\n",
"50% 0.000000\n",
"60% 0.000000\n",
"70% 0.000000\n",
"80% 0.000000\n",
"90% 0.009474\n",
"95% 0.019526\n",
"max 0.072283"
]
},
"execution_count": 93,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"experiment_no = 0\n",
"DF_sim = pd.read_csv(sim_names[experiment_no])\n",
"DF_emu = pd.read_csv(emu_names[experiment_no])\n",
"\n",
"Absolute_Error = abs(DF_sim.values[:]-DF_emu.values[:])\n",
"\n",
"DF = pd.DataFrame(data=Absolute_Error.flatten())\n",
"DF.describe(percentiles=[.1,.2,.3,.4,.5,.6,.7,.8,.9,.95])"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x116f199b0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.hist(Absolute_Error.flatten(),bins=100);"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x118d88438>]"
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11b718978>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(DF_sim.values[:].flatten(),DF_emu.values[:].flatten(),'.')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Distribution of errors for Train_3"
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {},
"outputs": [],
"source": [
"experiment_no = 1\n",
"DF_sim = pd.read_csv(sim_names[experiment_no])\n",
"DF_emu = pd.read_csv(emu_names[experiment_no])\n",
"\n",
"\n",
"if experiment_no==0:\n",
" source_position = np.asarray(emu_names[experiment_no].replace(path,'').replace(' Emu.csv','').replace('test_','').split()).astype(float)\n",
"\n",
"if experiment_no==1:\n",
" source_position = np.asarray(emu_names[experiment_no].replace(path,'').replace(' Emu.csv','').replace('train_','').split()).astype(float)"
]
},
{
"cell_type": "code",
"execution_count": 107,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x119d75400>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"\n",
"\n",
"\n",
"source_position = source_position/20\n",
"source_position*20\n",
"\n",
"fig = plt.figure(figsize=(15,7))\n",
"plt.subplot(1,3,1)\n",
"pl = plt.imshow(DF_sim.values[:].T,plt.cm.coolwarm)\n",
"plt.colorbar(pl,shrink=.5)\n",
"plt.plot(source_position[0],100-source_position[1],'og',markersize=10,markerfacecolor='g',alpha=.8,markeredgecolor='k',markeredgewidth=5,label='Source Position')\n",
"plt.legend(bbox_to_anchor=(.4,-.10))\n",
"\n",
"plt.title('Simulated Final Water Levels')\n",
"plt.subplot(1,3,2)\n",
"\n",
"pl = plt.imshow(DF_emu.values[:].T,plt.cm.coolwarm)\n",
"plt.plot(source_position[0],100-source_position[1],'og',markersize=10,markerfacecolor='g',alpha=.5,markeredgecolor='k',markeredgewidth=5)\n",
"plt.title('Emulated Final Water Levels')\n",
"\n",
"plt.colorbar(pl,shrink=.5)\n",
"\n",
"plt.subplot(1,3,3)\n",
"plt.title('Absolute Error')\n",
"## It is not absolute relatice error, it is just absolute\n",
"Absolute_Error = abs(DF_sim.values[:]-DF_emu.values[:])\n",
"pl = plt.imshow(Absolute_Error.T,plt.cm.coolwarm)\n",
"plt.plot(source_position[0],100-source_position[1],'og',markersize=10,markerfacecolor='g',alpha=.5,markeredgecolor='k',markeredgewidth=5,label='source position')\n",
"\n",
"plt.colorbar(pl,shrink=.5)\n",
"plt.tight_layout()\n",
"\n",
"\n",
"if experiment_no==0:\n",
" fig.savefig(path+'/Test_0.png',dpi=300)\n",
"if experiment_no==1:\n",
" fig.savefig(path+'/Train_3.png',dpi=300)"
]
},
{
"cell_type": "code",
"execution_count": 108,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<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",
" }\n",
"\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>0</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>10000.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>0.009288</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>0.028168</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>60%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>70%</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>80%</th>\n",
" <td>0.000143</td>\n",
" </tr>\n",
" <tr>\n",
" <th>90%</th>\n",
" <td>0.031202</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95%</th>\n",
" <td>0.056525</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>0.215002</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 0\n",
"count 10000.000000\n",
"mean 0.009288\n",
"std 0.028168\n",
"min 0.000000\n",
"10% 0.000000\n",
"20% 0.000000\n",
"30% 0.000000\n",
"40% 0.000000\n",
"50% 0.000000\n",
"60% 0.000000\n",
"70% 0.000000\n",
"80% 0.000143\n",
"90% 0.031202\n",
"95% 0.056525\n",
"max 0.215002"
]
},
"execution_count": 108,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"experiment_no = 1\n",
"DF_sim = pd.read_csv(sim_names[experiment_no])\n",
"DF_emu = pd.read_csv(emu_names[experiment_no])\n",
"\n",
"Absolute_Error = abs(DF_sim.values[:]-DF_emu.values[:])\n",
"\n",
"DF = pd.DataFrame(data=Absolute_Error.flatten())\n",
"DF.describe(percentiles=[.1,.2,.3,.4,.5,.6,.7,.8,.9,.95])"
]
},
{
"cell_type": "code",
"execution_count": 109,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x119d657f0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.hist(Absolute_Error.flatten(),bins=100);"
]
},
{
"cell_type": "code",
"execution_count": 110,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x116bf3be0>]"
]
},
"execution_count": 110,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x116993a58>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(DF_sim.values[:].flatten(),DF_emu.values[:].flatten(),'.')"
]
},
{
"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": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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