3124 lines (3123 with data), 754.7 kB
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt \n",
"import pandas as pd \n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv(\"D:\\Cancer_Project\\Team8_Cancer_ML\\HNSCC\\HNSCC Clinical Data (Encoded).csv\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>TCIA code</th>\n",
" <th>Gender</th>\n",
" <th>Age at Diag</th>\n",
" <th>Smoking status</th>\n",
" <th>Smoking status (Packs-Years)</th>\n",
" <th>Tumor laterality</th>\n",
" <th>Cancer subsite of origin</th>\n",
" <th>HPV Status</th>\n",
" <th>T-category</th>\n",
" <th>N-category</th>\n",
" <th>...</th>\n",
" <th>Local control_duration</th>\n",
" <th>Regional control</th>\n",
" <th>Regional control_duration</th>\n",
" <th>Locoregional control</th>\n",
" <th>Locoregional control_duration</th>\n",
" <th>Freedom from distant metastasis</th>\n",
" <th>Freedom from distant metastasis_duration</th>\n",
" <th>Relapse-free survival</th>\n",
" <th>Days to last FU</th>\n",
" <th>Neck Dissection after IMRT</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
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" <td>223</td>\n",
" <td>0.891011</td>\n",
" <td>223</td>\n",
" <td>0.891011</td>\n",
" <td>7.3</td>\n",
" <td>0.891011</td>\n",
" <td>220</td>\n",
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" <td>0.779711</td>\n",
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" <td>924</td>\n",
" <td>0.891011</td>\n",
" <td>924</td>\n",
" <td>0.891011</td>\n",
" <td>30.4</td>\n",
" <td>0.891011</td>\n",
" <td>913</td>\n",
" <td>0.781110</td>\n",
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" <td>3770</td>\n",
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" <td>123.9</td>\n",
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" <td>0.727884</td>\n",
" <td>0.701011</td>\n",
" <td>55</td>\n",
" <td>0.781011</td>\n",
" <td>0.0</td>\n",
" <td>0.76</td>\n",
" <td>0.841111</td>\n",
" <td>0.851101</td>\n",
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" <td>1</td>\n",
" <td>...</td>\n",
" <td>4104</td>\n",
" <td>0.891011</td>\n",
" <td>4104</td>\n",
" <td>0.891011</td>\n",
" <td>4104</td>\n",
" <td>0.891011</td>\n",
" <td>135.0</td>\n",
" <td>0.891011</td>\n",
" <td>4049</td>\n",
" <td>0.781110</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.727884</td>\n",
" <td>0.779711</td>\n",
" <td>66</td>\n",
" <td>0.701111</td>\n",
" <td>25.0</td>\n",
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" <td>0.891011</td>\n",
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"<p>5 rows × 29 columns</p>\n",
"</div>"
],
"text/plain": [
" TCIA code Gender Age at Diag Smoking status \\\n",
"0 0.727884 0.779711 57 0.671171 \n",
"1 0.727884 0.779711 48 0.781011 \n",
"2 0.727884 0.779711 54 0.671171 \n",
"3 0.727884 0.701011 55 0.781011 \n",
"4 0.727884 0.779711 66 0.701111 \n",
"\n",
" Smoking status (Packs-Years) Tumor laterality Cancer subsite of origin \\\n",
"0 38.0 0.82 0.669712 \n",
"1 0.0 0.82 0.669712 \n",
"2 30.0 0.82 0.841111 \n",
"3 0.0 0.76 0.841111 \n",
"4 25.0 0.76 0.669712 \n",
"\n",
" HPV Status T-category N-category ... Local control_duration \\\n",
"0 0.851101 4 2 ... 223 \n",
"1 0.851101 1 1 ... 924 \n",
"2 0.851101 2 2 ... 3770 \n",
"3 0.851101 2 1 ... 4104 \n",
"4 0.851101 4 0 ... 3496 \n",
"\n",
" Regional control Regional control_duration Locoregional control \\\n",
"0 0.891011 223 0.891011 \n",
"1 0.891011 924 0.891011 \n",
"2 0.781110 3770 0.781110 \n",
"3 0.891011 4104 0.891011 \n",
"4 0.891011 3496 0.891011 \n",
"\n",
" Locoregional control_duration Freedom from distant metastasis \\\n",
"0 223 0.891011 \n",
"1 924 0.891011 \n",
"2 3770 0.891011 \n",
"3 4104 0.891011 \n",
"4 3496 0.891011 \n",
"\n",
" Freedom from distant metastasis_duration Relapse-free survival \\\n",
"0 7.3 0.891011 \n",
"1 30.4 0.891011 \n",
"2 123.9 0.781110 \n",
"3 135.0 0.891011 \n",
"4 114.8 0.891011 \n",
"\n",
" Days to last FU Neck Dissection after IMRT \n",
"0 220 0.781110 \n",
"1 913 0.781110 \n",
"2 3717 0.891011 \n",
"3 4049 0.781110 \n",
"4 3445 0.781110 \n",
"\n",
"[5 rows x 29 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" TCIA code Gender Age at Diag \\\n",
"TCIA code 1.000000e+00 -1.984353e-13 -4.722220e-16 \n",
"Gender -1.984353e-13 1.000000e+00 -2.596240e-02 \n",
"Age at Diag -4.722220e-16 -2.596240e-02 1.000000e+00 \n",
"Smoking status -3.477574e-14 -1.585922e-02 -6.642608e-02 \n",
"Smoking status (Packs-Years) -3.926017e-16 -1.971370e-02 2.060759e-01 \n",
"\n",
" Smoking status Smoking status (Packs-Years) \\\n",
"TCIA code -3.477574e-14 -3.926017e-16 \n",
"Gender -1.585922e-02 -1.971370e-02 \n",
"Age at Diag -6.642608e-02 2.060759e-01 \n",
"Smoking status 1.000000e+00 -5.691508e-01 \n",
"Smoking status (Packs-Years) -5.691508e-01 1.000000e+00 \n",
"\n",
" Tumor laterality Cancer subsite of origin \\\n",
"TCIA code 1.874868e-13 -5.443588e-14 \n",
"Gender -7.626688e-02 -9.185802e-02 \n",
"Age at Diag 1.071889e-02 -6.192854e-02 \n",
"Smoking status 7.902846e-02 -8.397250e-02 \n",
"Smoking status (Packs-Years) 4.444991e-02 7.557923e-02 \n",
"\n",
" HPV Status T-category N-category ... \\\n",
"TCIA code -1.191664e-13 5.145862e-16 -3.856980e-16 ... \n",
"Gender 1.248023e-01 -5.999944e-02 1.664376e-01 ... \n",
"Age at Diag -6.450900e-02 8.430756e-02 -1.405094e-01 ... \n",
"Smoking status 1.207309e-01 -8.672367e-02 8.445723e-02 ... \n",
"Smoking status (Packs-Years) 5.462833e-02 1.776955e-01 -9.100866e-02 ... \n",
"\n",
" Local control_duration Regional control \\\n",
"TCIA code 7.160618e-16 6.667420e-14 \n",
"Gender -4.033614e-02 9.464862e-03 \n",
"Age at Diag -9.191725e-02 -7.249839e-02 \n",
"Smoking status 1.174223e-01 3.673812e-02 \n",
"Smoking status (Packs-Years) -7.550114e-02 -3.501948e-02 \n",
"\n",
" Regional control_duration Locoregional control \\\n",
"TCIA code 7.160618e-16 3.420656e-14 \n",
"Gender -4.033614e-02 3.791354e-02 \n",
"Age at Diag -9.191725e-02 -4.635880e-02 \n",
"Smoking status 1.174223e-01 1.043431e-01 \n",
"Smoking status (Packs-Years) -7.550114e-02 -1.125150e-01 \n",
"\n",
" Locoregional control_duration \\\n",
"TCIA code 7.160618e-16 \n",
"Gender -4.033614e-02 \n",
"Age at Diag -9.191725e-02 \n",
"Smoking status 1.174223e-01 \n",
"Smoking status (Packs-Years) -7.550114e-02 \n",
"\n",
" Freedom from distant metastasis \\\n",
"TCIA code 5.634763e-14 \n",
"Gender -6.018220e-02 \n",
"Age at Diag -6.810701e-02 \n",
"Smoking status 5.234770e-02 \n",
"Smoking status (Packs-Years) -4.067232e-02 \n",
"\n",
" Freedom from distant metastasis_duration \\\n",
"TCIA code -3.014706e-15 \n",
"Gender -4.614169e-02 \n",
"Age at Diag -9.298253e-02 \n",
"Smoking status 1.210415e-01 \n",
"Smoking status (Packs-Years) -6.988516e-02 \n",
"\n",
" Relapse-free survival Days to last FU \\\n",
"TCIA code 1.370586e-14 7.639979e-16 \n",
"Gender -3.109276e-02 -4.036575e-02 \n",
"Age at Diag -8.612873e-02 -9.225005e-02 \n",
"Smoking status 1.130178e-01 1.173437e-01 \n",
"Smoking status (Packs-Years) -1.282095e-01 -7.546471e-02 \n",
"\n",
" Neck Dissection after IMRT \n",
"TCIA code -1.353702e-13 \n",
"Gender 4.861331e-02 \n",
"Age at Diag -2.247458e-02 \n",
"Smoking status -1.343481e-02 \n",
"Smoking status (Packs-Years) -3.364667e-03 \n",
"\n",
"[5 rows x 29 columns]\n"
]
}
],
"source": [
"corr = df.corr()\n",
"print(corr.head())"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.pcolor(corr)\n",
"plt.yticks(np.arange(0.5, len(df.columns), 1), df.columns)\n",
"plt.xticks(np.arange(0.5, len(df.columns), 1), df.columns,rotation='vertical')\n",
"plt.margins(0.2)\n",
"plt.title(\"Correlation Graph of HNSCC Dataset\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"df=pd.read_csv(\"D:\\Cancer_Project\\Team8_Cancer_ML\\HNSCC-HN1\\Cancer Model Performance Data - Prediction (HNSCC-HN1)(CNN).csv\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"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>Prediction</th>\n",
" <th>Rounded Pred</th>\n",
" <th>Y test</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.147991</td>\n",
" <td>0</td>\n",
" <td>0.11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.144592</td>\n",
" <td>0</td>\n",
" <td>0.11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.125825</td>\n",
" <td>0</td>\n",
" <td>0.11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.114453</td>\n",
" <td>0</td>\n",
" <td>0.11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.153853</td>\n",
" <td>0</td>\n",
" <td>0.11</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Prediction Rounded Pred Y test\n",
"0 0.147991 0 0.11\n",
"1 0.144592 0 0.11\n",
"2 0.125825 0 0.11\n",
"3 0.114453 0 0.11\n",
"4 0.153853 0 0.11"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"x=df['Y test']\n",
"y=df['Prediction']"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use(\"ggplot\")\n",
"plt.plot(x,y)\n",
"plt.xlabel(\"Y test\")\n",
"plt.ylabel(\"Prediction ('chemotherapy_given')\",fontsize=10)\n",
"plt.title(\"Performance of Model on HNSCC-HN1 Dataset (CNN)\",fontsize=10)\n",
"plt.savefig(\"D:\\\\Cancer_Project\\\\Team8_Cancer_ML\\\\result_graphs\\\\Pred vs Y_test (HNSCC-HN1)(CNN).png\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"x=df[\"Y test\"]\n",
"y=df['Rounded Pred']"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use(\"ggplot\")\n",
"plt.plot(x,y)\n",
"plt.xlabel(\"Y test\")\n",
"plt.ylabel(\"Rounded Pred ('chemotherapy_given')\",fontsize=10)\n",
"plt.title(\"Performance of Model on HNSCC-HN1 Dataset (CNN)\",fontsize=10)\n",
"plt.savefig(\"D:\\\\Cancer_Project\\\\Team8_Cancer_ML\\\\result_graphs\\\\Rounded Pred vs Y_test (HNSCC-HN1)(CNN).png\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv(\"D:\\Cancer_Project\\Team8_Cancer_ML\\HNSCC-HN1\\Cancer Model Performance Data - Prediction (HNSCC-HN1)(Clinical-Only).csv\")"
]
},
{
"cell_type": "code",
"execution_count": 13,
"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>Prediction</th>\n",
" <th>Rounded Pred</th>\n",
" <th>Y test</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.109024</td>\n",
" <td>0</td>\n",
" <td>0.110</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.109827</td>\n",
" <td>0</td>\n",
" <td>0.110</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.112478</td>\n",
" <td>0</td>\n",
" <td>0.110</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.109534</td>\n",
" <td>0</td>\n",
" <td>0.110</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.729840</td>\n",
" <td>1</td>\n",
" <td>0.991</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Prediction Rounded Pred Y test\n",
"0 0.109024 0 0.110\n",
"1 0.109827 0 0.110\n",
"2 0.112478 0 0.110\n",
"3 0.109534 0 0.110\n",
"4 0.729840 1 0.991"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"x=df[\"Y test\"]\n",
"y=df['Prediction']"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use(\"ggplot\")\n",
"plt.plot(x,y)\n",
"plt.xlabel(\"Y test\")\n",
"plt.ylabel(\"Prediction ('chemotherapy_given')\",fontsize=10)\n",
"plt.title(\"Performance of Model on HNSCC-HN1 Dataset (Clinical Only)\",fontsize=10)\n",
"plt.savefig(\"D:\\\\Cancer_Project\\\\Team8_Cancer_ML\\\\result_graphs\\\\Pred vs Y_test (HNSCC-HN1)(Clinical-Only).png\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"y=df['Rounded Pred']"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use(\"ggplot\")\n",
"plt.plot(x,y)\n",
"plt.xlabel(\"Y test\")\n",
"plt.ylabel(\"Rounded Pred ('chemotherapy_given')\",fontsize=10)\n",
"plt.title(\"Performance of Model on HNSCC-HN1 Dataset (Clinical Only)\",fontsize=10)\n",
"plt.savefig(\"D:\\\\Cancer_Project\\\\Team8_Cancer_ML\\\\result_graphs\\\\Rounded Pred vs Y_test (HNSCC-HN1)(Clinical-Only).png\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv(\"D:\\Cancer_Project\\Team8_Cancer_ML\\METABRIC_RNA_Mutation\\METABRIC_RNA_Mutation.csv\",low_memory=False)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"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>patient_id</th>\n",
" <th>age_at_diagnosis</th>\n",
" <th>type_of_breast_surgery</th>\n",
" <th>cancer_type</th>\n",
" <th>cancer_type_detailed</th>\n",
" <th>cellularity</th>\n",
" <th>chemotherapy</th>\n",
" <th>pam50_+_claudin-low_subtype</th>\n",
" <th>cohort</th>\n",
" <th>er_status_measured_by_ihc</th>\n",
" <th>...</th>\n",
" <th>mtap_mut</th>\n",
" <th>ppp2cb_mut</th>\n",
" <th>smarcd1_mut</th>\n",
" <th>nras_mut</th>\n",
" <th>ndfip1_mut</th>\n",
" <th>hras_mut</th>\n",
" <th>prps2_mut</th>\n",
" <th>smarcb1_mut</th>\n",
" <th>stmn2_mut</th>\n",
" <th>siah1_mut</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>75.65</td>\n",
" <td>MASTECTOMY</td>\n",
" <td>Breast Cancer</td>\n",
" <td>Breast Invasive Ductal Carcinoma</td>\n",
" <td>NaN</td>\n",
" <td>0</td>\n",
" <td>claudin-low</td>\n",
" <td>1.0</td>\n",
" <td>Positve</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>43.19</td>\n",
" <td>BREAST CONSERVING</td>\n",
" <td>Breast Cancer</td>\n",
" <td>Breast Invasive Ductal Carcinoma</td>\n",
" <td>High</td>\n",
" <td>0</td>\n",
" <td>LumA</td>\n",
" <td>1.0</td>\n",
" <td>Positve</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>5</td>\n",
" <td>48.87</td>\n",
" <td>MASTECTOMY</td>\n",
" <td>Breast Cancer</td>\n",
" <td>Breast Invasive Ductal Carcinoma</td>\n",
" <td>High</td>\n",
" <td>1</td>\n",
" <td>LumB</td>\n",
" <td>1.0</td>\n",
" <td>Positve</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>6</td>\n",
" <td>47.68</td>\n",
" <td>MASTECTOMY</td>\n",
" <td>Breast Cancer</td>\n",
" <td>Breast Mixed Ductal and Lobular Carcinoma</td>\n",
" <td>Moderate</td>\n",
" <td>1</td>\n",
" <td>LumB</td>\n",
" <td>1.0</td>\n",
" <td>Positve</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>8</td>\n",
" <td>76.97</td>\n",
" <td>MASTECTOMY</td>\n",
" <td>Breast Cancer</td>\n",
" <td>Breast Mixed Ductal and Lobular Carcinoma</td>\n",
" <td>High</td>\n",
" <td>1</td>\n",
" <td>LumB</td>\n",
" <td>1.0</td>\n",
" <td>Positve</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 693 columns</p>\n",
"</div>"
],
"text/plain": [
" patient_id age_at_diagnosis type_of_breast_surgery cancer_type \\\n",
"0 0 75.65 MASTECTOMY Breast Cancer \n",
"1 2 43.19 BREAST CONSERVING Breast Cancer \n",
"2 5 48.87 MASTECTOMY Breast Cancer \n",
"3 6 47.68 MASTECTOMY Breast Cancer \n",
"4 8 76.97 MASTECTOMY Breast Cancer \n",
"\n",
" cancer_type_detailed cellularity chemotherapy \\\n",
"0 Breast Invasive Ductal Carcinoma NaN 0 \n",
"1 Breast Invasive Ductal Carcinoma High 0 \n",
"2 Breast Invasive Ductal Carcinoma High 1 \n",
"3 Breast Mixed Ductal and Lobular Carcinoma Moderate 1 \n",
"4 Breast Mixed Ductal and Lobular Carcinoma High 1 \n",
"\n",
" pam50_+_claudin-low_subtype cohort er_status_measured_by_ihc ... mtap_mut \\\n",
"0 claudin-low 1.0 Positve ... 0 \n",
"1 LumA 1.0 Positve ... 0 \n",
"2 LumB 1.0 Positve ... 0 \n",
"3 LumB 1.0 Positve ... 0 \n",
"4 LumB 1.0 Positve ... 0 \n",
"\n",
" ppp2cb_mut smarcd1_mut nras_mut ndfip1_mut hras_mut prps2_mut smarcb1_mut \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" stmn2_mut siah1_mut \n",
"0 0 0 \n",
"1 0 0 \n",
"2 0 0 \n",
"3 0 0 \n",
"4 0 0 \n",
"\n",
"[5 rows x 693 columns]"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"693"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(df.columns)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"df = df.dropna()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
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" <th></th>\n",
" <th>patient_id</th>\n",
" <th>age_at_diagnosis</th>\n",
" <th>type_of_breast_surgery</th>\n",
" <th>cancer_type</th>\n",
" <th>cancer_type_detailed</th>\n",
" <th>cellularity</th>\n",
" <th>chemotherapy</th>\n",
" <th>pam50_+_claudin-low_subtype</th>\n",
" <th>cohort</th>\n",
" <th>er_status_measured_by_ihc</th>\n",
" <th>...</th>\n",
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" <th>stmn2_mut</th>\n",
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" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>43.19</td>\n",
" <td>BREAST CONSERVING</td>\n",
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" <td>Breast Invasive Ductal Carcinoma</td>\n",
" <td>High</td>\n",
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" <td>MASTECTOMY</td>\n",
" <td>Breast Cancer</td>\n",
" <td>Breast Mixed Ductal and Lobular Carcinoma</td>\n",
" <td>High</td>\n",
" <td>1</td>\n",
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" <td>1.0</td>\n",
" <td>Positve</td>\n",
" <td>...</td>\n",
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" <td>Breast Invasive Ductal Carcinoma</td>\n",
" <td>Moderate</td>\n",
" <td>0</td>\n",
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" <td>86.41</td>\n",
" <td>BREAST CONSERVING</td>\n",
" <td>Breast Cancer</td>\n",
" <td>Breast Invasive Ductal Carcinoma</td>\n",
" <td>Moderate</td>\n",
" <td>0</td>\n",
" <td>LumB</td>\n",
" <td>1.0</td>\n",
" <td>Positve</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
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" <tr>\n",
" <th>9</th>\n",
" <td>35</td>\n",
" <td>84.22</td>\n",
" <td>MASTECTOMY</td>\n",
" <td>Breast Cancer</td>\n",
" <td>Breast Invasive Lobular Carcinoma</td>\n",
" <td>High</td>\n",
" <td>0</td>\n",
" <td>Her2</td>\n",
" <td>1.0</td>\n",
" <td>Negative</td>\n",
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],
"text/plain": [
" patient_id age_at_diagnosis type_of_breast_surgery cancer_type \\\n",
"1 2 43.19 BREAST CONSERVING Breast Cancer \n",
"4 8 76.97 MASTECTOMY Breast Cancer \n",
"5 10 78.77 MASTECTOMY Breast Cancer \n",
"8 28 86.41 BREAST CONSERVING Breast Cancer \n",
"9 35 84.22 MASTECTOMY Breast Cancer \n",
"\n",
" cancer_type_detailed cellularity chemotherapy \\\n",
"1 Breast Invasive Ductal Carcinoma High 0 \n",
"4 Breast Mixed Ductal and Lobular Carcinoma High 1 \n",
"5 Breast Invasive Ductal Carcinoma Moderate 0 \n",
"8 Breast Invasive Ductal Carcinoma Moderate 0 \n",
"9 Breast Invasive Lobular Carcinoma High 0 \n",
"\n",
" pam50_+_claudin-low_subtype cohort er_status_measured_by_ihc ... mtap_mut \\\n",
"1 LumA 1.0 Positve ... 0 \n",
"4 LumB 1.0 Positve ... 0 \n",
"5 LumB 1.0 Positve ... 0 \n",
"8 LumB 1.0 Positve ... 0 \n",
"9 Her2 1.0 Negative ... 0 \n",
"\n",
" ppp2cb_mut smarcd1_mut nras_mut ndfip1_mut hras_mut prps2_mut smarcb1_mut \\\n",
"1 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"5 0 0 0 0 0 0 0 \n",
"8 0 0 0 0 0 0 0 \n",
"9 0 0 0 0 0 0 0 \n",
"\n",
" stmn2_mut siah1_mut \n",
"1 0 0 \n",
"4 0 0 \n",
"5 0 0 \n",
"8 0 0 \n",
"9 0 0 \n",
"\n",
"[5 rows x 693 columns]"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(1092, 693)"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"df = df.iloc[:,:31]"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" <th>age_at_diagnosis</th>\n",
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" <th>cancer_type</th>\n",
" <th>cancer_type_detailed</th>\n",
" <th>cellularity</th>\n",
" <th>chemotherapy</th>\n",
" <th>pam50_+_claudin-low_subtype</th>\n",
" <th>cohort</th>\n",
" <th>er_status_measured_by_ihc</th>\n",
" <th>...</th>\n",
" <th>nottingham_prognostic_index</th>\n",
" <th>oncotree_code</th>\n",
" <th>overall_survival_months</th>\n",
" <th>overall_survival</th>\n",
" <th>pr_status</th>\n",
" <th>radio_therapy</th>\n",
" <th>3-gene_classifier_subtype</th>\n",
" <th>tumor_size</th>\n",
" <th>tumor_stage</th>\n",
" <th>death_from_cancer</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>43.19</td>\n",
" <td>BREAST CONSERVING</td>\n",
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" <td>Positve</td>\n",
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" <td>IDC</td>\n",
" <td>84.633333</td>\n",
" <td>1</td>\n",
" <td>Positive</td>\n",
" <td>1</td>\n",
" <td>ER+/HER2- High Prolif</td>\n",
" <td>10.0</td>\n",
" <td>1.0</td>\n",
" <td>Living</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>8</td>\n",
" <td>76.97</td>\n",
" <td>MASTECTOMY</td>\n",
" <td>Breast Cancer</td>\n",
" <td>Breast Mixed Ductal and Lobular Carcinoma</td>\n",
" <td>High</td>\n",
" <td>1</td>\n",
" <td>LumB</td>\n",
" <td>1.0</td>\n",
" <td>Positve</td>\n",
" <td>...</td>\n",
" <td>6.080</td>\n",
" <td>MDLC</td>\n",
" <td>41.366667</td>\n",
" <td>0</td>\n",
" <td>Positive</td>\n",
" <td>1</td>\n",
" <td>ER+/HER2- High Prolif</td>\n",
" <td>40.0</td>\n",
" <td>2.0</td>\n",
" <td>Died of Disease</td>\n",
" </tr>\n",
" <tr>\n",
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" <td>Breast Invasive Ductal Carcinoma</td>\n",
" <td>Moderate</td>\n",
" <td>0</td>\n",
" <td>LumB</td>\n",
" <td>1.0</td>\n",
" <td>Positve</td>\n",
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" <td>4.062</td>\n",
" <td>IDC</td>\n",
" <td>7.800000</td>\n",
" <td>0</td>\n",
" <td>Positive</td>\n",
" <td>1</td>\n",
" <td>ER+/HER2- High Prolif</td>\n",
" <td>31.0</td>\n",
" <td>4.0</td>\n",
" <td>Died of Disease</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>28</td>\n",
" <td>86.41</td>\n",
" <td>BREAST CONSERVING</td>\n",
" <td>Breast Cancer</td>\n",
" <td>Breast Invasive Ductal Carcinoma</td>\n",
" <td>Moderate</td>\n",
" <td>0</td>\n",
" <td>LumB</td>\n",
" <td>1.0</td>\n",
" <td>Positve</td>\n",
" <td>...</td>\n",
" <td>5.032</td>\n",
" <td>IDC</td>\n",
" <td>36.566667</td>\n",
" <td>0</td>\n",
" <td>Negative</td>\n",
" <td>1</td>\n",
" <td>ER+/HER2- High Prolif</td>\n",
" <td>16.0</td>\n",
" <td>2.0</td>\n",
" <td>Died of Other Causes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>35</td>\n",
" <td>84.22</td>\n",
" <td>MASTECTOMY</td>\n",
" <td>Breast Cancer</td>\n",
" <td>Breast Invasive Lobular Carcinoma</td>\n",
" <td>High</td>\n",
" <td>0</td>\n",
" <td>Her2</td>\n",
" <td>1.0</td>\n",
" <td>Negative</td>\n",
" <td>...</td>\n",
" <td>3.056</td>\n",
" <td>ILC</td>\n",
" <td>36.266667</td>\n",
" <td>0</td>\n",
" <td>Negative</td>\n",
" <td>0</td>\n",
" <td>ER+/HER2- High Prolif</td>\n",
" <td>28.0</td>\n",
" <td>2.0</td>\n",
" <td>Died of Disease</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 31 columns</p>\n",
"</div>"
],
"text/plain": [
" patient_id age_at_diagnosis type_of_breast_surgery cancer_type \\\n",
"1 2 43.19 BREAST CONSERVING Breast Cancer \n",
"4 8 76.97 MASTECTOMY Breast Cancer \n",
"5 10 78.77 MASTECTOMY Breast Cancer \n",
"8 28 86.41 BREAST CONSERVING Breast Cancer \n",
"9 35 84.22 MASTECTOMY Breast Cancer \n",
"\n",
" cancer_type_detailed cellularity chemotherapy \\\n",
"1 Breast Invasive Ductal Carcinoma High 0 \n",
"4 Breast Mixed Ductal and Lobular Carcinoma High 1 \n",
"5 Breast Invasive Ductal Carcinoma Moderate 0 \n",
"8 Breast Invasive Ductal Carcinoma Moderate 0 \n",
"9 Breast Invasive Lobular Carcinoma High 0 \n",
"\n",
" pam50_+_claudin-low_subtype cohort er_status_measured_by_ihc ... \\\n",
"1 LumA 1.0 Positve ... \n",
"4 LumB 1.0 Positve ... \n",
"5 LumB 1.0 Positve ... \n",
"8 LumB 1.0 Positve ... \n",
"9 Her2 1.0 Negative ... \n",
"\n",
" nottingham_prognostic_index oncotree_code overall_survival_months \\\n",
"1 4.020 IDC 84.633333 \n",
"4 6.080 MDLC 41.366667 \n",
"5 4.062 IDC 7.800000 \n",
"8 5.032 IDC 36.566667 \n",
"9 3.056 ILC 36.266667 \n",
"\n",
" overall_survival pr_status radio_therapy 3-gene_classifier_subtype \\\n",
"1 1 Positive 1 ER+/HER2- High Prolif \n",
"4 0 Positive 1 ER+/HER2- High Prolif \n",
"5 0 Positive 1 ER+/HER2- High Prolif \n",
"8 0 Negative 1 ER+/HER2- High Prolif \n",
"9 0 Negative 0 ER+/HER2- High Prolif \n",
"\n",
" tumor_size tumor_stage death_from_cancer \n",
"1 10.0 1.0 Living \n",
"4 40.0 2.0 Died of Disease \n",
"5 31.0 4.0 Died of Disease \n",
"8 16.0 2.0 Died of Other Causes \n",
"9 28.0 2.0 Died of Disease \n",
"\n",
"[5 rows x 31 columns]"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(1092, 31)"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.shape"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" patient_id age_at_diagnosis chemotherapy \\\n",
"patient_id 1.000000 0.012380 -0.249417 \n",
"age_at_diagnosis 0.012380 1.000000 -0.413432 \n",
"chemotherapy -0.249417 -0.413432 1.000000 \n",
"cohort 0.958563 0.031611 -0.233979 \n",
"neoplasm_histologic_grade 0.012586 -0.096408 0.289945 \n",
"\n",
" cohort neoplasm_histologic_grade \\\n",
"patient_id 0.958563 0.012586 \n",
"age_at_diagnosis 0.031611 -0.096408 \n",
"chemotherapy -0.233979 0.289945 \n",
"cohort 1.000000 -0.011275 \n",
"neoplasm_histologic_grade -0.011275 1.000000 \n",
"\n",
" hormone_therapy lymph_nodes_examined_positive \\\n",
"patient_id -0.234283 -0.163899 \n",
"age_at_diagnosis 0.284142 0.025244 \n",
"chemotherapy -0.121833 0.310180 \n",
"cohort -0.243939 -0.137843 \n",
"neoplasm_histologic_grade 0.009460 0.163060 \n",
"\n",
" mutation_count nottingham_prognostic_index \\\n",
"patient_id 0.317836 -0.110262 \n",
"age_at_diagnosis 0.031374 -0.026063 \n",
"chemotherapy -0.094843 0.451779 \n",
"cohort 0.304864 -0.113454 \n",
"neoplasm_histologic_grade 0.033373 0.715346 \n",
"\n",
" overall_survival_months overall_survival \\\n",
"patient_id 0.208028 -0.196988 \n",
"age_at_diagnosis -0.163522 -0.300358 \n",
"chemotherapy -0.171278 0.040819 \n",
"cohort 0.193670 -0.194617 \n",
"neoplasm_histologic_grade -0.110314 -0.080712 \n",
"\n",
" radio_therapy tumor_size tumor_stage \n",
"patient_id -0.163542 -0.067666 -0.126658 \n",
"age_at_diagnosis -0.079122 0.064657 0.093958 \n",
"chemotherapy 0.215012 0.250519 0.346756 \n",
"cohort -0.164449 -0.059629 -0.108987 \n",
"neoplasm_histologic_grade 0.127007 0.150270 0.169004 \n",
"(14, 14)\n"
]
}
],
"source": [
"corr = df.corr()\n",
"print(corr.head())\n",
"print(corr.shape)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.pcolor(corr)\n",
"plt.yticks(np.arange(0.5, len(df.columns), 1), df.columns)\n",
"plt.xticks(np.arange(0.5, len(df.columns), 1), df.columns,rotation='vertical')\n",
"plt.margins(0.2)\n",
"plt.title(\"Correlation Graph of METABRIC_RNA_Mutation Dataset (Clinical)\",)\n",
"plt.savefig(\"D:\\\\Cancer_Project\\\\Team8_Cancer_ML\\\\result_graphs\\\\METABRIC Corr Graph.png\",bbox_inches='tight')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv(\"D:\\Cancer_Project\\Team8_Cancer_ML\\METABRIC_RNA_Mutation\\Cancer Model Performance Data - Prediction (METABRIC).csv\")"
]
},
{
"cell_type": "code",
"execution_count": 30,
"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>Prediction</th>\n",
" <th>Rounded Pred</th>\n",
" <th>Y_test</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.88000</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>-0.00800</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>-0.00792</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>-0.01150</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.02010</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Prediction Rounded Pred Y_test\n",
"0 0.88000 1 0\n",
"1 -0.00800 0 0\n",
"2 -0.00792 0 0\n",
"3 -0.01150 0 0\n",
"4 0.02010 0 0"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"x=df[\"Y_test\"]\n",
"y=df[\"Prediction \"]"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use(\"ggplot\")\n",
"plt.plot(x,y)\n",
"plt.xlabel(\"Y test\")\n",
"plt.ylabel(\"Prediction ('chemotherapy')\",fontsize=10)\n",
"plt.title(\"Performance of Model on METABRIC Dataset\",fontsize=10)\n",
"plt.savefig(\"D:\\\\Cancer_Project\\\\Team8_Cancer_ML\\\\result_graphs\\\\Pred vs Y_test (METABRIC).png\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"y = df[\"Rounded Pred\"]"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use(\"ggplot\")\n",
"plt.plot(x,y)\n",
"plt.xlabel(\"Y test\")\n",
"plt.ylabel(\"Rounded Pred ('chemotherapy')\",fontsize=10)\n",
"plt.title(\"Performance of Model on METABRIC Dataset\",fontsize=10)\n",
"plt.savefig(\"D:\\\\Cancer_Project\\\\Team8_Cancer_ML\\\\result_graphs\\\\Rounded Pred vs Y_test (METABRIC).png\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"# make scatter plots for METABRIC \n",
"y = df['Prediction ']"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use(\"ggplot\")\n",
"plt.scatter(x,y)\n",
"plt.xlabel(\"Y test\")\n",
"plt.ylabel(\"Prediction ('chemotherapy')\",fontsize=10)\n",
"plt.title(\"Performance of Model on METABRIC Dataset\",fontsize=10)\n",
"plt.savefig(\"D:\\\\Cancer_Project\\\\Team8_Cancer_ML\\\\result_graphs\\\\Pred vs Y_test (METABRIC)(scatter).png\")"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"# get all coors into one list \n",
"coors = []\n",
"for xs in x: \n",
" for ys in y: \n",
" point = (xs,ys)\n",
" coors.append(point)"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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169, (0, 0.0821): 169, (0, 0.00278): 169, (0, -0.0111): 169, (0, -0.0177): 169, (0, -0.00197): 169, (0, 0.0337): 169, (0, 0.98): 338, (0, 0.039): 169, (0, 0.976): 338, (0, 0.00331): 169, (0, -0.0123): 169, (0, -0.00965): 169, (0, -0.014): 338, (0, 0.00435): 169, (0, 0.0101): 169, (0, -0.0152): 507, (0, 0.0008560000000000001): 169, (0, -0.00868): 169, (0, -0.00935): 169, (0, -0.0129): 169, (0, -0.011): 338, (0, -0.00533): 169, (0, -0.013): 169, (0, -0.0149): 169, (0, -0.00823): 169, (0, -0.0136): 338, (0, -0.0154): 169, (0, -0.0139): 169, (0, -0.00997): 169, (0, -0.0106): 169, (0, -0.00175): 169, (0, -0.0105): 169, (0, -0.0114): 169, (0, -0.006940000000000001): 169, (0, 0.0377): 169, (0, -0.0122): 338, (0, 0.995): 169, (0, 0.664): 169, (0, 0.972): 169, (0, -0.00806): 169, (0, 0.62): 169, (0, -0.0132): 169, (0, 0.9740000000000001): 169, (0, 0.026): 169, (0, 0.996): 169, (0, 0.007559999999999999): 169, (0, -0.0021): 169, (0, 0.0050100000000000006): 169, (0, 0.00128): 169, (0, 1.01): 338, (0, -0.015): 338, (0, 0.0422): 169, (0, -0.0216): 338, (0, 0.0138): 169, (0, -0.00889): 169, (0, -0.0108): 169, (0, -0.00911): 169, (0, 0.9990000000000001): 169, (0, 0.937): 338, (0, 1.03): 169, (0, -0.0209): 338, (0, 0.105): 169, (0, -0.00614): 169, (0, -0.00548): 169, (0, -0.0162): 169, (0, -0.0011): 169, (0, 0.0308): 169, (0, -0.0107): 169, (0, -0.0165): 169, (0, 0.42700000000000005): 169, (0, 0.841): 169, (0, 0.0355): 169, (0, 0.028): 169, (0, -0.0013): 169, (0, -0.0145): 169, (0, -0.0159): 169, (0, 0.0255): 169, (0, -0.0172): 169, (0, -0.0104): 169, (0, 0.271): 169, (0, 0.0105): 169, (0, -3.19e-05): 169, (0, -0.00558): 338, (0, 0.9490000000000001): 338, (0, 0.981): 169, (0, -0.0112): 169, (0, 0.726): 169, (0, 0.58): 169, (0, 0.741): 169, (0, -0.012): 169, (0, 0.498): 169, (0, 0.9790000000000001): 169, (0, -0.00923): 169, (0, -0.0117): 169, (0, -0.00303): 169, (0, -0.007370000000000001): 169, (0, -0.000583): 169, (0, 0.0296): 169, (0, 0.9890000000000001): 169, (0, 0.963): 169, (0, 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-0.0158): 100, (1, -0.00924): 50, (1, -0.0102): 150, (1, -0.00722): 50, (1, -0.0109): 50, (1, 0.0071200000000000005): 50, (1, -0.0134): 100, (1, 0.8959999999999999): 50, (1, -0.0135): 100, (1, -0.0143): 100, (1, -0.00762): 50, (1, 0.00252): 50, (1, -0.0138): 150, (1, -0.00834): 50, (1, 0.00873): 50, (1, -0.0119): 50, (1, -0.00813): 50, (1, -0.0124): 50, (1, -0.0103): 100, (1, -0.00633): 50, (1, -0.0163): 50, (1, -0.00463): 100, (1, 0.0205): 50, (1, -0.00542): 50, (1, -0.0144): 100, (1, -0.00665): 50, (1, 0.11599999999999999): 50, (1, 0.00925): 50, (1, 0.0821): 50, (1, 0.00278): 50, (1, -0.0111): 50, (1, -0.0177): 50, (1, -0.00197): 50, (1, 0.0337): 50, (1, 0.98): 100, (1, 0.039): 50, (1, 0.976): 100, (1, 0.00331): 50, (1, -0.0123): 50, (1, -0.00965): 50, (1, -0.014): 100, (1, 0.00435): 50, (1, 0.0101): 50, (1, -0.0152): 150, (1, 0.0008560000000000001): 50, (1, -0.00868): 50, (1, -0.00935): 50, (1, -0.0129): 50, (1, -0.011): 100, (1, -0.00533): 50, (1, -0.013): 50, (1, -0.0149): 50, (1, 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50, (1, 0.0238): 50}\n"
]
}
],
"source": [
"# get the num of occurrences for each coor\n",
"coorDict = {}\n",
"# set a dict loc for each coor\n",
"for coor in coors: \n",
" coorDict[coor]=0\n",
" \n",
"for coor in coors: \n",
" coorDict[coor]=coorDict[coor]+1\n",
" \n",
"print(coorDict)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
"coors=coorDict.keys()\n",
"x = []\n",
"y = []\n",
"s = []\n",
"for coor in coors: \n",
" xs = coor[0]\n",
" ys = coor[-1]\n",
" x.append(xs)\n",
" y.append(ys)\n",
" numOc = coorDict[coor]\n",
" s.append(numOc)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use(\"ggplot\")\n",
"plt.scatter(x,y,s=s)\n",
"plt.xlabel(\"Y test\")\n",
"plt.ylabel(\"Prediction ('chemotherapy')\",fontsize=10)\n",
"plt.title(\"Performance of Model on METABRIC Dataset\",fontsize=10)\n",
"plt.savefig(\"D:\\\\Cancer_Project\\\\Team8_Cancer_ML\\\\result_graphs\\\\Pred vs Y_test (METABRIC)(scatter)(heated).png\")"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"x=df[\"Y_test\"]\n",
"y = df['Rounded Pred']"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use(\"ggplot\")\n",
"plt.scatter(x,y)\n",
"plt.xlabel(\"Y test\")\n",
"plt.ylabel(\"Rounded Pred ('chemotherapy')\",fontsize=10)\n",
"plt.title(\"Performance of Model on METABRIC Dataset\",fontsize=10)\n",
"plt.savefig(\"D:\\\\Cancer_Project\\\\Team8_Cancer_ML\\\\result_graphs\\\\Rounded Pred vs Y_test (METABRIC)(scatter).png\")"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"# get all coors into one list \n",
"coors = []\n",
"for xs in x: \n",
" for ys in y: \n",
" point = (xs,ys)\n",
" coors.append(point)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{(0, 1): 7267, (0, 0): 29744, (1, 1): 2150, (1, 0): 8800}\n"
]
}
],
"source": [
"# get the num of occurrences for each coor\n",
"coorDict = {}\n",
"# set a dict loc for each coor\n",
"for coor in coors: \n",
" coorDict[coor]=0\n",
" \n",
"for coor in coors: \n",
" coorDict[coor]=coorDict[coor]+1\n",
" \n",
"print(coorDict)"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [],
"source": [
"coors=coorDict.keys()\n",
"x = []\n",
"y = []\n",
"s = []\n",
"for coor in coors: \n",
" xs = coor[0]\n",
" ys = coor[-1]\n",
" x.append(xs)\n",
" y.append(ys)\n",
" numOc = coorDict[coor]\n",
" s.append(numOc)"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use(\"ggplot\")\n",
"plt.scatter(x,y,s=s)\n",
"plt.xlabel(\"Y test\")\n",
"plt.ylabel(\"Rounded Pred ('chemotherapy')\",fontsize=10)\n",
"plt.title(\"Performance of Model on METABRIC Dataset\",fontsize=10)\n",
"plt.savefig(\"D:\\\\Cancer_Project\\\\Team8_Cancer_ML\\\\result_graphs\\\\Rounded Pred vs Y_test (METABRIC)(scatter)(heated).png\")"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use(\"ggplot\")\n",
"plt.scatter(x,y)\n",
"plt.xlabel(\"Y test\")\n",
"plt.ylabel(\"Rounded Pred ('chemotherapy')\",fontsize=10)\n",
"plt.title(\"Performance of Model on METABRIC Dataset\",fontsize=10)\n",
"plt.savefig(\"D:\\\\Cancer_Project\\\\Team8_Cancer_ML\\\\result_graphs\\\\Rounded Pred vs Y_test (METABRIC)(scatter).png\")"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv(\"D:\\Cancer_Project\\Team8_Cancer_ML\\METABRIC_RNA_Mutation\\METABRIC_RNA_Mutation.csv\",low_memory=False)"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [],
"source": [
"df = df.dropna()"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {},
"outputs": [],
"source": [
"df = df.iloc[:,31:]"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>brca1</th>\n",
" <th>brca2</th>\n",
" <th>palb2</th>\n",
" <th>pten</th>\n",
" <th>tp53</th>\n",
" <th>atm</th>\n",
" <th>cdh1</th>\n",
" <th>chek2</th>\n",
" <th>nbn</th>\n",
" <th>nf1</th>\n",
" <th>...</th>\n",
" <th>mtap_mut</th>\n",
" <th>ppp2cb_mut</th>\n",
" <th>smarcd1_mut</th>\n",
" <th>nras_mut</th>\n",
" <th>ndfip1_mut</th>\n",
" <th>hras_mut</th>\n",
" <th>prps2_mut</th>\n",
" <th>smarcb1_mut</th>\n",
" <th>stmn2_mut</th>\n",
" <th>siah1_mut</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>-1.3800</td>\n",
" <td>0.2777</td>\n",
" <td>-1.2154</td>\n",
" <td>0.5296</td>\n",
" <td>-0.0136</td>\n",
" <td>-0.2659</td>\n",
" <td>1.3594</td>\n",
" <td>0.7961</td>\n",
" <td>0.5419</td>\n",
" <td>-2.6059</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1.2932</td>\n",
" <td>-0.9039</td>\n",
" <td>-0.7219</td>\n",
" <td>0.2168</td>\n",
" <td>0.3484</td>\n",
" <td>0.3897</td>\n",
" <td>0.9131</td>\n",
" <td>0.9356</td>\n",
" <td>0.7675</td>\n",
" <td>-0.2940</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>-0.4341</td>\n",
" <td>0.6931</td>\n",
" <td>0.6909</td>\n",
" <td>1.0840</td>\n",
" <td>-1.9371</td>\n",
" <td>0.9252</td>\n",
" <td>1.1520</td>\n",
" <td>0.7951</td>\n",
" <td>-0.9677</td>\n",
" <td>-0.7750</td>\n",
" <td>...</td>\n",
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" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>0.8347</td>\n",
" <td>-1.5038</td>\n",
" <td>0.3436</td>\n",
" <td>-0.5550</td>\n",
" <td>0.0558</td>\n",
" <td>-0.9155</td>\n",
" <td>-0.8571</td>\n",
" <td>-0.1267</td>\n",
" <td>-0.1705</td>\n",
" <td>0.6442</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>-1.0087</td>\n",
" <td>-0.6074</td>\n",
" <td>0.0313</td>\n",
" <td>1.0975</td>\n",
" <td>0.5314</td>\n",
" <td>0.9105</td>\n",
" <td>-1.5068</td>\n",
" <td>-0.0196</td>\n",
" <td>0.3726</td>\n",
" <td>0.4892</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
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"</table>\n",
"<p>5 rows × 662 columns</p>\n",
"</div>"
],
"text/plain": [
" brca1 brca2 palb2 pten tp53 atm cdh1 chek2 nbn \\\n",
"1 -1.3800 0.2777 -1.2154 0.5296 -0.0136 -0.2659 1.3594 0.7961 0.5419 \n",
"4 1.2932 -0.9039 -0.7219 0.2168 0.3484 0.3897 0.9131 0.9356 0.7675 \n",
"5 -0.4341 0.6931 0.6909 1.0840 -1.9371 0.9252 1.1520 0.7951 -0.9677 \n",
"8 0.8347 -1.5038 0.3436 -0.5550 0.0558 -0.9155 -0.8571 -0.1267 -0.1705 \n",
"9 -1.0087 -0.6074 0.0313 1.0975 0.5314 0.9105 -1.5068 -0.0196 0.3726 \n",
"\n",
" nf1 ... mtap_mut ppp2cb_mut smarcd1_mut nras_mut ndfip1_mut \\\n",
"1 -2.6059 ... 0 0 0 0 0 \n",
"4 -0.2940 ... 0 0 0 0 0 \n",
"5 -0.7750 ... 0 0 0 0 0 \n",
"8 0.6442 ... 0 0 0 0 0 \n",
"9 0.4892 ... 0 0 0 0 0 \n",
"\n",
" hras_mut prps2_mut smarcb1_mut stmn2_mut siah1_mut \n",
"1 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"5 0 0 0 0 0 \n",
"8 0 0 0 0 0 \n",
"9 0 0 0 0 0 \n",
"\n",
"[5 rows x 662 columns]"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"corr = df.corr()"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.pcolor(corr)\n",
"plt.margins(0.2)\n",
"plt.title(\"Correlation Graph of METABRIC_RNA_Mutation Dataset (Genetic)\",)\n",
"plt.savefig(\"D:\\\\Cancer_Project\\\\Team8_Cancer_ML\\\\result_graphs\\\\METABRIC Corr Graph (genetic).png\",bbox_inches='tight')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv(\"annual-number-of-deaths-by-cause.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 55,
"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>Entity</th>\n",
" <th>Code</th>\n",
" <th>Year</th>\n",
" <th>Number of executions (Amnesty International)</th>\n",
" <th>Deaths - Meningitis - Sex: Both - Age: All Ages (Number)</th>\n",
" <th>Deaths - Lower respiratory infections - Sex: Both - Age: All Ages (Number)</th>\n",
" <th>Deaths - Intestinal infectious diseases - Sex: Both - Age: All Ages (Number)</th>\n",
" <th>Deaths - Protein-energy malnutrition - Sex: Both - Age: All Ages (Number)</th>\n",
" <th>Terrorism (deaths)</th>\n",
" <th>Deaths - Cardiovascular diseases - Sex: Both - Age: All Ages (Number)</th>\n",
" <th>...</th>\n",
" <th>Deaths - Neonatal disorders - Sex: Both - Age: All Ages (Number)</th>\n",
" <th>Deaths - Alcohol use disorders - Sex: Both - Age: All Ages (Number)</th>\n",
" <th>Deaths - Exposure to forces of nature - Sex: Both - Age: All Ages (Number)</th>\n",
" <th>Deaths - Diarrheal diseases - Sex: Both - Age: All Ages (Number)</th>\n",
" <th>Deaths - Environmental heat and cold exposure - Sex: Both - Age: All Ages (Number)</th>\n",
" <th>Deaths - Nutritional deficiencies - Sex: Both - Age: All Ages (Number)</th>\n",
" <th>Deaths - Self-harm - Sex: Both - Age: All Ages (Number)</th>\n",
" <th>Deaths - Conflict and terrorism - Sex: Both - Age: All Ages (Number)</th>\n",
" <th>Deaths - Diabetes mellitus - Sex: Both - Age: All Ages (Number)</th>\n",
" <th>Deaths - Poisonings - Sex: Both - Age: All Ages (Number)</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Afghanistan</td>\n",
" <td>AFG</td>\n",
" <td>2007</td>\n",
" <td>15</td>\n",
" <td>9121.085992</td>\n",
" <td>29066.442137</td>\n",
" <td>461.195202</td>\n",
" <td>1846.996686</td>\n",
" <td>1199.0</td>\n",
" <td>53532.680495</td>\n",
" <td>...</td>\n",
" <td>28477.081107</td>\n",
" <td>96.027592</td>\n",
" <td>296.000026</td>\n",
" <td>10366.124292</td>\n",
" <td>160.930121</td>\n",
" <td>1941.282198</td>\n",
" <td>1378.571549</td>\n",
" <td>8216.000975</td>\n",
" <td>4691.007199</td>\n",
" <td>305.207239</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Afghanistan</td>\n",
" <td>AFG</td>\n",
" <td>2008</td>\n",
" <td>17</td>\n",
" <td>8387.057275</td>\n",
" <td>26623.480551</td>\n",
" <td>437.718960</td>\n",
" <td>1681.270324</td>\n",
" <td>1092.0</td>\n",
" <td>53402.322328</td>\n",
" <td>...</td>\n",
" <td>28234.015837</td>\n",
" <td>98.308461</td>\n",
" <td>0.000000</td>\n",
" <td>8994.815981</td>\n",
" <td>156.860722</td>\n",
" <td>1765.980756</td>\n",
" <td>1411.783229</td>\n",
" <td>6748.999931</td>\n",
" <td>4750.240999</td>\n",
" <td>300.246001</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Afghanistan</td>\n",
" <td>AFG</td>\n",
" <td>2009</td>\n",
" <td>0</td>\n",
" <td>7318.273004</td>\n",
" <td>24792.335792</td>\n",
" <td>415.776634</td>\n",
" <td>1568.095029</td>\n",
" <td>1065.0</td>\n",
" <td>53024.450772</td>\n",
" <td>...</td>\n",
" <td>27897.481121</td>\n",
" <td>100.088778</td>\n",
" <td>101.000000</td>\n",
" <td>7996.529795</td>\n",
" <td>152.144044</td>\n",
" <td>1647.863334</td>\n",
" <td>1428.808015</td>\n",
" <td>7562.996178</td>\n",
" <td>4784.225283</td>\n",
" <td>295.413907</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Afghanistan</td>\n",
" <td>AFG</td>\n",
" <td>2011</td>\n",
" <td>2</td>\n",
" <td>6919.757958</td>\n",
" <td>23115.144836</td>\n",
" <td>299.758258</td>\n",
" <td>1468.203744</td>\n",
" <td>1525.0</td>\n",
" <td>52815.737495</td>\n",
" <td>...</td>\n",
" <td>27198.628720</td>\n",
" <td>105.565020</td>\n",
" <td>62.000000</td>\n",
" <td>7053.113394</td>\n",
" <td>150.311602</td>\n",
" <td>1543.182842</td>\n",
" <td>1496.192418</td>\n",
" <td>9061.000023</td>\n",
" <td>4954.293898</td>\n",
" <td>311.997686</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Afghanistan</td>\n",
" <td>AFG</td>\n",
" <td>2012</td>\n",
" <td>14</td>\n",
" <td>6631.942601</td>\n",
" <td>22155.754481</td>\n",
" <td>302.255411</td>\n",
" <td>1406.214788</td>\n",
" <td>3521.0</td>\n",
" <td>52961.704530</td>\n",
" <td>...</td>\n",
" <td>26830.686222</td>\n",
" <td>108.281688</td>\n",
" <td>333.000006</td>\n",
" <td>6577.552474</td>\n",
" <td>193.388959</td>\n",
" <td>1478.263352</td>\n",
" <td>1528.384710</td>\n",
" <td>11332.990002</td>\n",
" <td>5075.765738</td>\n",
" <td>316.256517</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 37 columns</p>\n",
"</div>"
],
"text/plain": [
" Entity Code Year Number of executions (Amnesty International) \\\n",
"0 Afghanistan AFG 2007 15 \n",
"1 Afghanistan AFG 2008 17 \n",
"2 Afghanistan AFG 2009 0 \n",
"3 Afghanistan AFG 2011 2 \n",
"4 Afghanistan AFG 2012 14 \n",
"\n",
" Deaths - Meningitis - Sex: Both - Age: All Ages (Number) \\\n",
"0 9121.085992 \n",
"1 8387.057275 \n",
"2 7318.273004 \n",
"3 6919.757958 \n",
"4 6631.942601 \n",
"\n",
" Deaths - Lower respiratory infections - Sex: Both - Age: All Ages (Number) \\\n",
"0 29066.442137 \n",
"1 26623.480551 \n",
"2 24792.335792 \n",
"3 23115.144836 \n",
"4 22155.754481 \n",
"\n",
" Deaths - Intestinal infectious diseases - Sex: Both - Age: All Ages (Number) \\\n",
"0 461.195202 \n",
"1 437.718960 \n",
"2 415.776634 \n",
"3 299.758258 \n",
"4 302.255411 \n",
"\n",
" Deaths - Protein-energy malnutrition - Sex: Both - Age: All Ages (Number) \\\n",
"0 1846.996686 \n",
"1 1681.270324 \n",
"2 1568.095029 \n",
"3 1468.203744 \n",
"4 1406.214788 \n",
"\n",
" Terrorism (deaths) \\\n",
"0 1199.0 \n",
"1 1092.0 \n",
"2 1065.0 \n",
"3 1525.0 \n",
"4 3521.0 \n",
"\n",
" Deaths - Cardiovascular diseases - Sex: Both - Age: All Ages (Number) ... \\\n",
"0 53532.680495 ... \n",
"1 53402.322328 ... \n",
"2 53024.450772 ... \n",
"3 52815.737495 ... \n",
"4 52961.704530 ... \n",
"\n",
" Deaths - Neonatal disorders - Sex: Both - Age: All Ages (Number) \\\n",
"0 28477.081107 \n",
"1 28234.015837 \n",
"2 27897.481121 \n",
"3 27198.628720 \n",
"4 26830.686222 \n",
"\n",
" Deaths - Alcohol use disorders - Sex: Both - Age: All Ages (Number) \\\n",
"0 96.027592 \n",
"1 98.308461 \n",
"2 100.088778 \n",
"3 105.565020 \n",
"4 108.281688 \n",
"\n",
" Deaths - Exposure to forces of nature - Sex: Both - Age: All Ages (Number) \\\n",
"0 296.000026 \n",
"1 0.000000 \n",
"2 101.000000 \n",
"3 62.000000 \n",
"4 333.000006 \n",
"\n",
" Deaths - Diarrheal diseases - Sex: Both - Age: All Ages (Number) \\\n",
"0 10366.124292 \n",
"1 8994.815981 \n",
"2 7996.529795 \n",
"3 7053.113394 \n",
"4 6577.552474 \n",
"\n",
" Deaths - Environmental heat and cold exposure - Sex: Both - Age: All Ages (Number) \\\n",
"0 160.930121 \n",
"1 156.860722 \n",
"2 152.144044 \n",
"3 150.311602 \n",
"4 193.388959 \n",
"\n",
" Deaths - Nutritional deficiencies - Sex: Both - Age: All Ages (Number) \\\n",
"0 1941.282198 \n",
"1 1765.980756 \n",
"2 1647.863334 \n",
"3 1543.182842 \n",
"4 1478.263352 \n",
"\n",
" Deaths - Self-harm - Sex: Both - Age: All Ages (Number) \\\n",
"0 1378.571549 \n",
"1 1411.783229 \n",
"2 1428.808015 \n",
"3 1496.192418 \n",
"4 1528.384710 \n",
"\n",
" Deaths - Conflict and terrorism - Sex: Both - Age: All Ages (Number) \\\n",
"0 8216.000975 \n",
"1 6748.999931 \n",
"2 7562.996178 \n",
"3 9061.000023 \n",
"4 11332.990002 \n",
"\n",
" Deaths - Diabetes mellitus - Sex: Both - Age: All Ages (Number) \\\n",
"0 4691.007199 \n",
"1 4750.240999 \n",
"2 4784.225283 \n",
"3 4954.293898 \n",
"4 5075.765738 \n",
"\n",
" Deaths - Poisonings - Sex: Both - Age: All Ages (Number) \n",
"0 305.207239 \n",
"1 300.246001 \n",
"2 295.413907 \n",
"3 311.997686 \n",
"4 316.256517 \n",
"\n",
"[5 rows x 37 columns]"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Index(['Deaths - Alzheimer disease and other dementias - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Chronic kidney disease - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Chronic respiratory diseases - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Cirrhosis and other chronic liver diseases - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Digestive diseases - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Hepatitis - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Neoplasms - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Parkinson disease - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Fire, heat, and hot substances - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Malaria - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Drowning - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Interpersonal violence - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - HIV/AIDS - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Drug use disorders - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Tuberculosis - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Road injuries - Sex: Both - Age: All Ages (Number)',\n",
" 'Deaths - Maternal disorders - Sex: Both - Age: All Ages (Number)'],\n",
" dtype='object')\n"
]
}
],
"source": [
"print(df.columns[10:27])"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [],
"source": [
"cancerCol = df['Deaths - Neoplasms - Sex: Both - Age: All Ages (Number)']\n",
"entityCol = df[\"Entity\"]\n",
"yearCol = df[\"Year\"]"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [],
"source": [
"df = pd.DataFrame()"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [],
"source": [
"df[\"Entity\"]=entityCol\n",
"df[\"Year\"]=yearCol\n",
"df[\"Cancers\"]=cancerCol"
]
},
{
"cell_type": "code",
"execution_count": 60,
"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>Entity</th>\n",
" <th>Year</th>\n",
" <th>Cancers</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Afghanistan</td>\n",
" <td>2007</td>\n",
" <td>14253.281223</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Afghanistan</td>\n",
" <td>2008</td>\n",
" <td>14385.275410</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Afghanistan</td>\n",
" <td>2009</td>\n",
" <td>14458.354286</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Afghanistan</td>\n",
" <td>2011</td>\n",
" <td>14868.810348</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Afghanistan</td>\n",
" <td>2012</td>\n",
" <td>15065.556660</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6681</th>\n",
" <td>Zimbabwe</td>\n",
" <td>2013</td>\n",
" <td>10773.570087</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6682</th>\n",
" <td>Zimbabwe</td>\n",
" <td>2014</td>\n",
" <td>10856.786196</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6683</th>\n",
" <td>Zimbabwe</td>\n",
" <td>2015</td>\n",
" <td>11005.829309</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6684</th>\n",
" <td>Zimbabwe</td>\n",
" <td>2016</td>\n",
" <td>11240.734416</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6685</th>\n",
" <td>Zimbabwe</td>\n",
" <td>2017</td>\n",
" <td>11439.822731</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>6686 rows × 3 columns</p>\n",
"</div>"
],
"text/plain": [
" Entity Year Cancers\n",
"0 Afghanistan 2007 14253.281223\n",
"1 Afghanistan 2008 14385.275410\n",
"2 Afghanistan 2009 14458.354286\n",
"3 Afghanistan 2011 14868.810348\n",
"4 Afghanistan 2012 15065.556660\n",
"... ... ... ...\n",
"6681 Zimbabwe 2013 10773.570087\n",
"6682 Zimbabwe 2014 10856.786196\n",
"6683 Zimbabwe 2015 11005.829309\n",
"6684 Zimbabwe 2016 11240.734416\n",
"6685 Zimbabwe 2017 11439.822731\n",
"\n",
"[6686 rows x 3 columns]"
]
},
"execution_count": 60,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {},
"outputs": [],
"source": [
"df = df.drop(\"Entity\",axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" 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>Year</th>\n",
" <th>Cancers</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2007</td>\n",
" <td>14253.281223</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2008</td>\n",
" <td>14385.275410</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2009</td>\n",
" <td>14458.354286</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2011</td>\n",
" <td>14868.810348</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2012</td>\n",
" <td>15065.556660</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6681</th>\n",
" <td>2013</td>\n",
" <td>10773.570087</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6682</th>\n",
" <td>2014</td>\n",
" <td>10856.786196</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6683</th>\n",
" <td>2015</td>\n",
" <td>11005.829309</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6684</th>\n",
" <td>2016</td>\n",
" <td>11240.734416</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6685</th>\n",
" <td>2017</td>\n",
" <td>11439.822731</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>6686 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" Year Cancers\n",
"0 2007 14253.281223\n",
"1 2008 14385.275410\n",
"2 2009 14458.354286\n",
"3 2011 14868.810348\n",
"4 2012 15065.556660\n",
"... ... ...\n",
"6681 2013 10773.570087\n",
"6682 2014 10856.786196\n",
"6683 2015 11005.829309\n",
"6684 2016 11240.734416\n",
"6685 2017 11439.822731\n",
"\n",
"[6686 rows x 2 columns]"
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"11\n",
"11\n"
]
}
],
"source": [
"df = df.set_index(\"Year\")\n",
"df = df.dropna()\n",
"smDf=pd.DataFrame()\n",
"\n",
"yearList = []\n",
"yearNetList = []\n",
"for i in range(11): \n",
" yearInstance = df.loc[i+2007]\n",
" yearList.append(i+2007)\n",
"\n",
" yearNet = 0\n",
" for cData in yearInstance[\"Cancers\"]: \n",
" yearNet = yearNet+cData\n",
" yearNetList.append(yearNet)\n",
" \n",
"print(len(yearList))\n",
"print(len(yearNetList))\n",
" \n",
"smDf[\"Year\"] = yearList\n",
"smDf[\"Cancer\"] = yearNetList\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 64,
"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>Year</th>\n",
" <th>Cancer</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2007</td>\n",
" <td>3.708239e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2008</td>\n",
" <td>3.790206e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2009</td>\n",
" <td>3.868665e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2010</td>\n",
" <td>3.950237e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2011</td>\n",
" <td>4.027591e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2012</td>\n",
" <td>4.107201e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2013</td>\n",
" <td>4.181209e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2014</td>\n",
" <td>4.296932e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2015</td>\n",
" <td>4.442636e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2016</td>\n",
" <td>4.556043e+07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2017</td>\n",
" <td>4.627891e+07</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Year Cancer\n",
"0 2007 3.708239e+07\n",
"1 2008 3.790206e+07\n",
"2 2009 3.868665e+07\n",
"3 2010 3.950237e+07\n",
"4 2011 4.027591e+07\n",
"5 2012 4.107201e+07\n",
"6 2013 4.181209e+07\n",
"7 2014 4.296932e+07\n",
"8 2015 4.442636e+07\n",
"9 2016 4.556043e+07\n",
"10 2017 4.627891e+07"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"smDf"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"x=smDf[\"Year\"]\n",
"y=smDf[\"Cancer\"]"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {},
"outputs": [],
"source": [
"df=pd.read_csv(\"Global Population Data.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {},
"outputs": [],
"source": [
"x2=df[\"Year\"]\n",
"y2=df[\"Population\"]"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(x,y,label=\"Cancer Deaths\")\n",
"plt.plot(x2,y2,label=\"Population\")\n",
"plt.legend(loc=(1.04,0))\n",
"plt.savefig(\"D:\\\\Cancer_Project\\\\Team8_Cancer_ML\\\\visualizations\\\\death_stats.png\",bbox_inches='tight')"
]
}
],
"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": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}