Mel_Vision_Transformer_ComP.../notebooks/Dataset Analysis.ipynb
2021-03-24 08:03:12 +01:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 39,
"id": "crazy-burden",
"metadata": {},
"outputs": [],
"source": [
"from collections import defaultdict\n",
"from pathlib import Path\n",
"\n",
"import numpy as np\n",
"import torch\n",
"import pytorch_lightning as pl\n",
"import librosa\n",
"import pandas as pd\n",
"import variables as v\n",
"import seaborn as sns\n",
"from tqdm import tqdm\n",
"from matplotlib import pyplot as plt\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "ongoing-darkness",
"metadata": {
"pycharm": {
"name": "#%% Variables\n"
}
},
"outputs": [],
"source": [
"_ROOT = Path('..')\n",
"output = Path('..') / Path('output')\n",
"sr = 16000\n",
"root = v.CCS_Root\n",
"ext = 'png'\n"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "friendly-tribute",
"metadata": {
"pycharm": {
"name": "#%% Util Functions\n"
}
},
"outputs": [],
"source": [
"def print_stats(data_option, mean_duration, std_duration, min_duration, max_duration):\n",
" print(f'For {data_option}; statistics are:')\n",
" print(f'Mean duration: {mean_duration:.3f}s\\tstd: {std_duration:.3f}s '\n",
" f'min: {min_duration:.3f}s\\t max: {max_duration:.3f}s')\n",
"\n",
"def show_and_save(data_option, title):\n",
" plt.tight_layout()\n",
" figure = plt.gcf()\n",
" plt.show()\n",
" figure.savefig(f'figures/{root.name}_{data_option}_{title.lower().replace(\" \", \"_\")}.{ext}', format=ext, )"
]
},
{
"cell_type": "code",
"execution_count": 42,
"outputs": [],
"source": [
"data = defaultdict(dict)\n",
"for data_option in ['train', 'devel', 'test']:\n",
" lab_csv = pd.read_csv(root / 'lab' / f'{data_option}.csv')\n",
" labels = []\n",
" durations = []\n",
" durations_per_class = defaultdict(list)\n",
" for idx, row in lab_csv.iterrows():\n",
" duration = librosa.get_duration(filename=str(root / 'wav' / row.filename), sr=sr)\n",
" durations.append(duration)\n",
" labels.append(row.label)\n",
" durations_per_class[row.label].append(duration)\n",
" durations_per_class = dict(durations_per_class)\n",
" data[data_option].update(durations=durations, labels=labels, durations_per_class=durations_per_class)\n",
"\n",
"data = dict(data)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Prepare Data\n"
}
}
},
{
"cell_type": "code",
"execution_count": 43,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"For train; statistics are:\n",
"Mean duration: 6.472s\tstd: 2.202s min: 2.480s\t max: 17.067s\n",
"For negative; statistics are:\n",
"Mean duration: 6.296s\tstd: 2.235s min: 2.480s\t max: 17.067s\n",
"For positive; statistics are:\n",
"Mean duration: 7.003s\tstd: 2.007s min: 3.480s\t max: 11.640s\n",
"----------------------######################-----------------\n",
"\n",
"For devel; statistics are:\n",
"Mean duration: 6.096s\tstd: 2.262s min: 2.040s\t max: 16.115s\n",
"For positive; statistics are:\n",
"Mean duration: 6.429s\tstd: 2.186s min: 2.159s\t max: 11.760s\n",
"For negative; statistics are:\n",
"Mean duration: 6.009s\tstd: 2.274s min: 2.040s\t max: 16.115s\n",
"----------------------######################-----------------\n",
"\n",
"For test; statistics are:\n",
"Mean duration: 6.441s\tstd: 2.340s min: 1.560s\t max: 16.161s\n",
"For ?; statistics are:\n",
"Mean duration: 6.441s\tstd: 2.340s min: 1.560s\t max: 16.161s\n",
"----------------------######################-----------------\n",
"\n"
]
}
],
"source": [
"for data_option in data.keys():\n",
" # For all files in data_option\n",
" durations = data[data_option]['durations']\n",
" print_stats(data_option, np.mean(durations), np.std(durations), np.min(durations), np.max(durations))\n",
"\n",
" # Per class in data_option\n",
" durations_per_class = data[data_option]['durations_per_class']\n",
" for label in durations_per_class.keys():\n",
" cls_dur = durations_per_class[label]\n",
" print_stats(label, np.mean(cls_dur), np.std(cls_dur), np.min(cls_dur), np.max(cls_dur))\n",
" print('----------------------######################-----------------\\n')"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": 44,
"outputs": [],
"source": [
"plt.style.use('default')\n",
"sns.set_palette('Dark2')\n",
"\n",
"tex_fonts = {\n",
" # Use LaTeX to write all text\n",
" \"text.usetex\": True,\n",
" \"font.family\": \"serif\",\n",
" # Use 10pt font in plots, to match 10pt font in document\n",
" \"axes.labelsize\": 10,\n",
" \"font.size\": 10,\n",
" # Make the legend/label fonts a little smaller\n",
" \"legend.fontsize\": 8,\n",
" \"xtick.labelsize\": 8,\n",
" \"ytick.labelsize\": 8\n",
"}\n",
"\n",
"plt.rcParams.update(tex_fonts)\n",
"\n",
"Path('figures').mkdir(exist_ok=True)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Seaborn Settings\n"
}
}
},
{
"cell_type": "code",
"execution_count": 45,
"outputs": [
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
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AoGeCvR39InP+j+/8g8K2YuNPt53uOI5s29bNmzdlWZaSyaRmZ2dVq9XC4dR0Oi3p8ObEtm1rZWVFiURCjuOENypOJpNhAHQcR5ZlNd3v7uj0dDqtcrkcPlM2lUpJknzfD7c1Ozt7rkO3DMUCAABjNXrMbNtWvV6X7/uqVCpNvXWJREKu6yqXy6lSqSiVSmlpaamr7WWzWeXzefm+L9u2ValUdO/ePbmuK9d1lc/ne7FbbdFjBwAAeiY2NqE/KGz3ZTud8H1flmXJ933F43FZlqVUKiXP88J5arWa5ubmtLq6Gp5Dl8lk5Hley/PnfN+X67phL9xRjfkbz5n1PE+1Wk2O40g6fAbteaLHDgAA9EwsFtOl8afP/eek8+uOWl1dValU0tLSUjgE2hhKLZVKKhaLSqVSchxHtVpNpVJJpVJJiURCtm2H592trq5KOgx8xWIx7Al8fLp02GvXsLCwoKmpKRWLRZVKpV408YliQRAE576ViG1vb2tyclJbW1u6evX8x/0h7Tza05d/9F1J0s++8T1NjI4NdR0AYLKHDx/q7t27un79ui5fvhx1OaFUKqVKpRJ1GR1r146nyTH02AEAAGP5vh91CX1FsAMAAMZpDJG2uqGwybh4AgAAGCeZTGpzczPqMvqOHjsAAABDEOwAAAAMQbADAAA9MQQ32jhXvWg/zrEDAABnMjo6qlgspl//+tf60pe+1PE95vC5IAj061//WrFYTKOjo12vh2AHAADO5KmnntILL7ygX/3qV/rlL38ZdTkXViwW0wsvvKCnnnqq63UQ7AAAwJl94Qtf0EsvvaRHjx5FXcqFNTo6eqZQJxHsAABAjzz11FNnDiY4m0iCXeNZafV6XbZthw/GfXyeer2uSqWiubm5cJ5OlgUAABhGfQ92nuepXC6rUChIkmZnZ4+Fs2q1Kunwwbm+7+v69eva3NzsaFkAAIBh1ffbnbiuK8uywteWZcl13aZ56vW6yuVyOD0ej6tarXa0LAAAwLDqe49drVbT1NRU+Doejx97QK/jOE09cfV6XclkUisrK09cVpJ2d3e1u7sbvt7e3u7dDgAAAAyogbhBcb1ebzstk8nonXfeOdWyS0tLmpycDH+uXbvWkzoBAAAGWd+DXSKRaHrduAiilVKppNnZWaXT6VMtm8vltLW1Ff589NFHPaoeAABgcPU92DmOo/X19fC153nhsOvRYdXG+XTpdFrVajWcr92yR42Pj+vq1atNPwAAAKbr+zl2tm1rfn4+vJ1JLpcLp6VSKVUqFdXrdc3NzYXv+74fPj+t3bIAAADDLpL72DWGVh9Xq9UkHV7turm5eaplgSfZ2d+LugRdGRnlGYoAgHPDkycwNF5+7/tRl6CZZ1/U7dfeJNwBAM7FQFwVC5yXKyOjmnn2xajLCK1/+qEe7PMcRQDA+aDHDkaLxWK6/dqbkYepnf29gegxBACYjWAH48ViMU2MjkVdBgAA546hWAAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwxEjUBQDnLQgCBXs7kdZwsL8X6fYBAMOBYAejBUGgj/7mj/XwF/8WaR0PLo1Kf/QXYU0AAJwHhmJhtGBvJ/JQ97jgUbS9hwAAc9Fjh6Fh//0nujT+dCTb/s19X/qf/xDJtgEAw4Ngh6FxafzpyILdJc6xAwD0AUOxAAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGCIkagLAIbNwe6ODkbGIq0hNjahWCwWaQ1BECjY24m0hoZBaA8A6AWCHdBnd/9LQlcOHkVaw+WXXtW1t34cWZgJgkAf/c0f6+Ev/i2S7T8u6vYAgF5hKBbog9joRNQlNHn4859E2lsW7O0MTKiTom8PAOgVeuyAPjjaE5T4h080EdFQ7MHufXnffC6Sbbdj//0nujT+dCTbHsT2AICzINgBfXZp7GldGo32HLtBcmn86ciCHQCYhqFYAAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQkdyguFQqSZLq9bps25bjOMfm8X1fxWJRkrS4uBi+Pzc3p1wuJ0laWVlRPp/vQ8UAAACDr+/BzvM8lctlFQoFSdLs7GzLYOe6ru7du6epqaljy9+4cUPT09NaW1vrS80AAAAXQd+HYl3XlWVZ4WvLsuS67rH50um0EonEsfdzuZw2NzdVLpeb1gMAADDs+t5jV6vVmnrh4vG4fN/vePn19XVJh8O4krSwsHBsnt3dXe3u7oavt7e3u6wWAADg4ojkHLvHNUJaJ46eU5dIJHTz5s1jPXdLS0t6++23e1UeAADAhdD3YJdIJJp66BoXUHSiVCppfX09DHeWZcnzPCWTyab5crmcvvWtb4Wvt7e3de3atbMXf0EEQaAH+48irWFnfy/S7QMAMIz6Huwcx1E2mw1fe54XXjzh+/6J583Ztt003ff9Y6FOksbHxzU+Pt6zmi+SIAj01X++pY1PP4y6FAAA0Gd9D3a2bWt+fl6lUkn1ej28dYkkpVIpVSqV8IKKcrks3/dl27bS6bSSyaRKpVLYc1cul/td/sB7sP9ooELdzLMv6srIaNRlAAAwFCI5xy6dTrd8v1arhf92HKflbVAay7ZbBz73wde/o4mRsUhruDIyqlgsFmkNAAAMi4G4eALnY2JkTBOj0QY7AADQPzxSDAAAwBD02BnsYO++Dg6ivTo2NjbBUCwuhIPd+1GXwO8LgDMj2BkmCILw37U/f05XIg52l196Vdfe+jF/rDDwvG8+F3UJ/L4AODOGYg0TPNqJuoQmD3/+EwV7g1UT0BAbm9Dll16NuowQvy8AzooeO4Nd/681feFpK5JtH+zeH4geEOAksVhM1976ceRhit8XAL1CsDPYpfEJXRp/OuoygIEWi8UU4/cEgCEYigUAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQXQW7XC7X6zoAAABwRiPdLLS2tqZEIqHp6Wm9/PLLPS4JAAAA3egq2FUqFU1OTuru3bu6ffu2JOlrX/taTwsDAADA6XQ1FDs5OSlJun79uu7du6fFxUXNz8/r9u3b+uUvf9nL+gAAANChrnrs5ufnFY/Htbq6qoWFBZXLZV2/fl2S9NOf/lSe5+krX/lKTwsF0FsHu/eHctsAYLKuh2K//e1v6x//8R+PTdvc3JTv+2etC8A58775XNQlAAB6rKuh2L/8y7/U66+/Lkna2trS+++/Hw7Brq6uyrKsXtUHoIdiYxO6/NKrUZcRuvzSq4qNTURdBgAYo6seu/Hx8fDfk5OT+tM//VO9++67ev3113Xr1q2eFQegt2KxmK699WMFeztRlyLpMGjGYrGoywAAY3Qc7La2trS6uqpYLKZyuXxseqVSCXvxAAyuWCym2PjTUZcBADgHHQe7yclJOY6jfD6vWq0WXizRsLi42PPiAAAA0LlTDcVev35dt27d0p07d3Tjxo3zqgkAAABd6OriiVahjvvXAQAARKujHrvbt2/LcRxdvXpVkvTuu+82Td/c3JTruvqXf/mX3lcIAACAjnTUY/e3f/u32tjYCF/funVLm5ub4Y8k3bt373wqBAAAQEc66rE7Guok6Z133tErr7zS9J7jOL2rCgAAAKfW1Tl2Kysrevfdd7W9va0/+ZM/0fz8vO7evdvr2gAAAHAKXQW7mZkZvf766yoUCnrllVe0srLCUCwAAEDEugp2zzzzjKTDx4d9/etflyTF4/HeVQUAAIBT6+qRYrVaTUEQqFar6eWXX9bdu3fDiygAAAAQja567G7evKlqtapKpaKtrS0VCgX5vt/j0gAAAHAaXfXYTU5O6q/+6q/C1z/4wQ+4QTEAAEDEugp2kvTBBx+oXq+HrwuFglZWVnpSFAAAAE6vq2B38+ZN+b4vy7LC937605/2qiYAAAB0oatgNzs7qzfeeKPpvffff78nBQEAAKA7XV08kUgkOnoPAAAA/dP17U4KhYJmZmYkSUEQaHV1Vevr6z0tDgAAAJ3rqseuUCjo+vXrCoJAQRBIUvhfAAAARKOrHrt8Pq8bN240vec4Tk8KAgAAQHe66rG7ceOGfvjDH2p+fl6SdOfOHc6xAwAAiFhXwS6Xy8myrLCX7saNG3Jdt6eFAQAA4HS6CnbT09N64403ZNt2r+sBAABAl7oKdnfv3pUkxWKx8D2uiAUAAIhWVxdPvPLKK5qentbU1JTK5bJc11U+n+91bQAAADiFri+eWF1d1SuvvKIgCFQsFvWVr3yl17UBAADgFLrqsZMk27b1gx/8oJe1AAAA4AxOFey2t7dVLBa1vr4u3/eVSqWUyWT04osvnld9AAAA6FDHQ7E//OEPZVmW3nvvPQVBoMnJSf3rv/6rksmk3nrrrfOsEQAAAB3oqMfu/fff1/r6ujY3NzU5OXls+ptvvqnbt2/ra1/7Ws8LBNBbQRDowf6jqMuQJF0ZGW26uh4AcDYdBTvXdbW6utp2+q1bt/Rnf/ZnBDtgwAVBoK/+8y1tfPph1KVIkmaefVG3X3uTcAcAPdLRUGwnNyLmZsXA4Huw/2hgQp0krX/64cD0HgKACTrqsXvmmWd6Mg+AwfHB17+jiZGxSLa9s7+nl9/7fiTbBgCTdRTsarWaPvvsMwVBcOI8AC6OiZExTYxGE+wAAOejo2CXz+e1vLzcdnoQBIrFYlpaWupZYQAAADidjoLdwsLCiY8MC4JA3/72t3tWFAAAAE6vo2CXyWRa3ubk8XkAAAAQnY6uin3llVd6Mg8AAADOT8dPngAAAMBgI9gBAAAYgmAHAABgCIIdAACAIQh2AAAAhujodifAWRzs3h/KbQMA0G+RBLtSqSRJqtfrsm1bjuMcm8f3fRWLRUnS4uLiqZbFYPG++VzUJQAAMBT6Huw8z1O5XFahUJAkzc7Otgxnruvq3r17mpqaOvWyiF5sbEKXX3pVD3/+k6hLkSRdfulVxcYmoi5DkrSzvzeU2wYAnL++BzvXdWVZVvjasiy5rnssoKXTadXrdfm+f+plEb1YLKZrb/1Ywd5O1KVIOgyasVgs6jIkSS+/9/2oSwAAGKrvwa5WqzX1wsXj8abw1otld3d3tbu7G77e3t7uul50LxaLKTb+dNRlDIQrI6OaefZFrX/6YdSlSJJmnn1RV0ZGoy4DANBjA3HxRL1e7+myS0tLevvtt89SEtBTsVhMt197Uw/2H0VdiqTDoDkoPZgAgN7pe7BLJBJNvWyNiyB6uWwul9O3vvWt8PX29rauXbvWdc1AL8RiMU2MjkVdBgDAYH2/j53jOFpfXw9fe54XniP3pCHZk5Y9anx8XFevXm36AQAAMF3fe+xs29b8/LxKpZLq9bpyuVw4LZVKqVKphBdFlMtl+b4v27aVTqdPXBYAAGDYRXKOXTqdbvl+rVYL/+04TsveuHbLAgAADDseKQYAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGCKSGxQDQMPO/l7UJejKyKhisVjUZQDAmRHsAETq5fe+H3UJmnn2Rd1+7U3CHYALj6FYAH13ZWRUM8++GHUZofVPP9SD/UdRlwEAZ0aPHYC+i8Viuv3am5GHqZ39vYHoMQSAXiHYAYhELBbTxOhY1GUAgFEYigUAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBA8UgwAdPjc2Kgc7O/pwaVRXT6I9tm5AC4+gh0ASHr5ve9HW8Af/YX+cOtX+l9BEG0dAC40hmIBDK0rI6OaefbFqMsI/d/JF/Tgt/TaAegePXYAhlYsFtPt197Ug/1ow9Rvdnwlb/+3SGsAYAaCHYChFovFNDE6FmkNByOjkW4fgDkYigUAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADDESxUZLpZIkqV6vy7ZtOY7T8Txzc3PK5XKSpJWVFeXz+T5VDQAAMNj6Huw8z1O5XFahUJAkzc7OHgt2J83jeZ5u3Lih6elpra2t9bd4AACAAdb3oVjXdWVZVvjasiy5rtvxPLlcTpubmyqXy03zAAAADLu+99jVajVNTU2Fr+PxuHzf73ie9fV1SYdDtJK0sLBwbBu7u7va3d0NX29vb/eqfAAAgIEVyTl2j2uEtE7mOXpOXSKR0M2bN4/13C0tLentt9/uaY0AAACDru9DsYlEoul14+KITuYplUrKZrPh+5ZlyfO8Y9vI5XLa2toKfz766KMe7gEAAMBg6nuPneM4TeHM87zwwgjf92VZVtt5qtVqU++c7/tKJpPHtjE+Pq7x8fHz24kWgiDQg/1Hfd1mKzsDUAMAAIhG34Odbduan59XqVRSvV4Pb10iSalUSpVKpe08yWRSpVJJpVJJ6+vrKpfL/S6/rQf7j/TlH3036jIAAMAQi+Qcu3Q63fL9Wq32xHka77ebjkN/uPUrXXlqNOoyAABAHw3ExRMmuDIyqp9943tRl6GDvfuq/flzunzwSLFYIepyAABAHxHseiQWi2lidCzqMnRw8EhXDjjPDgCAYcSzYgEAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAwxEnUBAIDBEQSBgr2dqMuQJMXGJhSLxaIuA7hQCHYAAEmHoe6jv/ljPfzFv0VdiiTp8kuv6tpbPybcAafAUCwAQJIU7O0MTKiTpIc//8nA9B4CFwU9dgCAY+y//0SXxp+OZNsHu/flffO5SLYNXHQEOwDAMZfGn44s2AHoHkOxAAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCJ4VCwADZGf/kS492otk2wf7e3pwafR3dezp0u/+Pax1NFwZGVUsFou0hiAI9GD/UaQ1NNAexw1CmzTEgiAIoi7ivG1vb2tyclJbW1u6evVq1OWcq4Pd+/pF5nAf/6CwzUO8gQvgN/c39e9X81GXgTZmnn1Rt197M7I/3EEQ6Kv/fEsbn34YyfYfR3sc97NvfE8To2Pntv7T5BiGYgEgYleeGtUfbv0q6jLQxvqnH0baO/Rg/9FAhRjaY7AxFAsAEYvFYvq7D/6HHl4aVeIfPtGlsWh62g/27qv2589JEnXocBj45fe+H8m22/ng69/RxMj59QydhPZo78pItKcLHEWwA4ABEJN05eCRJkbGdOkch3ROcnDwSFcODntiqGMwTYyMneuQ30VDexwXSbArlUqSpHq9Ltu25ThOx/N0siwAAMAw6nuw8zxP5XJZhUJBkjQ7O3ssnLWbp5NlAQAAhlXfL55wXVeWZYWvLcuS67odzdPJsgAAAMOq7z12tVpNU1NT4et4PC7f9zuap5NloxIEgYK9najL0MHu/ahLAHAGUf4OD+LxI9L22P/8foK/2fF1ENEJ8jtHrkA92Luvg4NorkilPdqLjU0MzH3sBuLiiXq93vU8rd7f3d3V7u5u+Hpra0vS4X1gzsvB7n15//nfndv6u7G9va1L47+NugwAT3Cwe1+/2Tu8pej/efP3Iq7mUJTHj0FpjweXRnXwH/6TJOnlf1qKrI6j/nfm98ILS/qN9mjP/rv/d673jW3kl05uPdz3YJdIJJp62RoXQXQ6z5OWlaSlpSW9/fbbx96/du3a2Yq/aP7H81FXAOCi4vghaU/6p/8edRFN/mOkW6c92urT78tnn32mycnJE+fp+5MnPM9TNpvV2tqaJCmVSqlSqUg6DG2WZbWd56Rlj3q8x+7g4ED1el1TU1Ntu0q3t7d17do1ffTRR8Y/neI0aJfWaJfWaJfWaJfWaJfWaJfWhrldgiDQZ599pueff16XLp18eUQkjxQ7esuSeDyudDot6bCnrlKpyLKstvO0e/+shumxY6dBu7RGu7RGu7RGu7RGu7RGu7RGu3QmknPs2oWxWq32xHl6FeQAAABMw7NiAQAADEGw+53x8XH99V//tcbHx6MuZaDQLq3RLq3RLq3RLq3RLq3RLq3RLp2J5Bw7AAAA9B49dgAAAIYg2AEAABhiIJ48EbVSqaR6va5KpaK5uTk5jhN1SQOlVCrJsiza5Yjl5eXw5thcqX2ocSuihmFtF9/3VSwWJUmLi4vh+0dv1WTb9tD9Pp3ULsN8/G3XLg3Devw9qV04/p5s6INdtVqVJC0sLMj3fV2/fl2bm5sRVzU4fN/X0tKScrlc1KUMjNnZWa2trcmyLKVSKQ4sOvyeeJ4XHoAzmczQtovrurp3717Tc609z1O5XFahUJB0+B0atj/UrdqF42/rdmkY5uNvu3bh+PtkQz8UW6/XVS6XJUmWZSkej4cHG0irq6uan5+PuoyBUa1WZVlW+O9WTz4ZRpZlqVAohL87jTYaRul0WolEouk913Wb2sSyLLmu2+fKotWqXTj+tm6XhmE+/rZqF46/nRn6YOc4Tvh/0dLhgSaZTEZY0eCoVqtD16vwJBsbG/I8T57nSTrsmcKhfD6vVCqlVCo1lD0MJ6nVak09D/F4vOm518OK4297HH+P4/jbmaEPdkdlMhm98847UZcxMDzPC89jwCHf9xWPx5VMJpVMJrWxsTF0PQztrK+vq1KpKB6P68aNG1GXM/Dq9XrUJQwUjr/NOP4ex/G3MwS73ymVSpqdnWW8/neWl5clHbbL+vq6yuUyv0CSbNtuOtjG4/Hw/x6HWeP3J5lMqlwua3p6euiGGk/SagiSP9qf4/jbjONvaxx/OzP0F09In5//4jhOOIY/7Afdo1chra+va2ZmhiESHR868jyP4RIdDyqzs7OKx+MRVjRYHMdRNpsNX/O9+RzH3+M4/rbG8bczQx/sPM/T3Nxc+Nr3ffEwjs+5rivXdeV5npLJ5NAfcC3LUiaTUbFYlO/7yufzQ32hQMPCwoKWl5e1sbEhSeFwyTByXVflclm+78u2baXTadm2rfn5+fDWHsN4DmKrduH427pdjk4b1uNvq3bh+NsZHikGAABgCM6xAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ7AUCgWi3rmmWf6fqPXVCqlUqnU120CGF4EOwBDYWFhQdPT0+e+ncefAZvP57mJKoC+IdgBQI94nqfV1dWm9xzH4SaqAPqGYAcAPZLP56MuAcCQI9gBMFa1WlU2m1WpVAof59Xguq5SqVTTA9cTiYRc1w2nJxIJFYtFFYtFpVKpcD7XdVUsFpue/+q6rjY2NlQul1UsFuV5nqrVqlKplIrFYlNNy8vLKpVKWl5eDh9i3qinWCyG63/8cVuNaaVSqWnbANAw9M+KBWAm3/c1NzenWq0Wvre0tBT+23Eczc/Ph6/T6bRWVlaapjuOo0qlokKhoHg8LknhOh3HUSaTUalUUjqdDudPJBJaWFgI13N0G57nKZvNqlwuh++lUinduXMnXL5cLmttbU2StLa2pmq1qmQyqWKxqGQyGZ6vdzSkAkADwQ6AkVZXV5VMJpvea4SzTlmWpampKUkKH86+ubkpy7LkeZ7q9XrY49aJQqFwrCbbtrW6uqqFhQVNTU2F22tsvxHg0um0UqmUbNvW/Px8U3gEgAaGYgHgBLZtN71eWloKh28fn3bU41fHnlU8Htfm5qbeeecd3bt3r2mYFgAaCHYAjOQ4zrF71j3eu2ZZlu7duxe+dl33WCB7/Ly8arWqxcVF2bYdzts4L++oo+815pufnz82b7Va1c2bN5+4P0tLS/I8T8lkUvl8nittAbTEUCwAI9m2rbW1NWWzWc3Ozsr3fVmWpaWlJeXzedm2rZs3byqbzYZhy3GccLjU87wwyNm2LcdxND09Lcuywvnn5uZUKBTCnrtMJqN8Pq9isRgGy5WVFcXjcaXT6TCULS8vy7Ztra+va21tTZZlhfM26mhcfNFY/9TUlFzXVTweV71ebzp3DwAaYkEQBFEXAQAAgLNjKBYAAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQ/x/RlKC5A+F+nAAAAABJRU5ErkJggg==\n"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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AIWIJdq7rynVdVSoV+b7ft0wYhtra2tLW1lbP+lwupzAMT5XP5XKq1+uq1+sqFApX0W0AAICJNvZgFwSBPM9TNpvV2tqaSqVS33K+72tvb+/Utq7ranFxUXfu3FEikYiCXxAEWllZUaFQULFYvPL9AAAAmDRjD3a+78uyrGjZsqy+o3bZbFapVKpnXRAEarVa0U+5XNbGxoYkqVgsqtVqyfO8nvoBAACmxcy4G2w0GlpYWIiWk8lk36nVfhzHif67UqlodXU1Wq5Wq5KkZrMpSVpbW7uE3gIAAFwfYw92/XTD2LCCIFAYhj0jc8endFOplFZXV0+N3B0cHOjg4CBabrfbI/UXAABgEo19Kvbk9Gqz2ZRt2xeqo1wuK51OR8uu6/bcMGFZloIgOLXd5uam5ufno5+7d+9esPcAAACTa+zBznGcaNpUOhp9606xDjsl67puTxi0bVuZTCZaDsOwJ/h1FYtF7e/vRz/Pnz8fcS8AAAAmz9inYm3bVj6fl+u6ajabPXewLi0tqVarRTdUeJ6nMAxl27ay2WxUzrIsJZPJaDmdTkePUKlWq/I8r2/bc3Nzmpubu7qdAwAAiFEs19gdD2nHNRqN6L8dx+m5WeK4Wq02sM5BdQMAAJiON08AAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYIiJeKUYgOvjxeGrsbd5c2ZWiURi7O0CwHVDsANwIR98/suxt3n/nXt68tEDwh0AnIOpWADnujkzq/vv3Iut/eq3X+vl4evY2geA64IROwDnSiQSevLRg7GHqxeHr2IZIQSA64pgB2AoiURCt2ZvxN0NAMAZmIoFAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEDNxNOq6riSp2WzKtm05jnOqTBiGqlQqkqSNjY1ofS6XU7FYlCRtb2+rVCoNXScAAIDJxh7sgiCQ53kql8uSpEwm0zeE+b6vvb09LSwsnNp+ZWVFy8vL2t3dvVCdAAAAJhv7VKzv+7IsK1q2LEu+758ql81mlUqlTq0vFotqtVryPC+qZ9g6AQAATDb2EbtGo9EzCpdMJhWG4dDbV6tVSUdTrpK0trY2dJ0HBwc6ODiIltvt9gV7DwAAMLliucbupG5IG0b3mjpJSqVSWl1dHbrOzc1NPXz48OIdBAAAuAbGPhV7cnq1e7PDMFzXVaFQiJYty1IQBEPXWSwWtb+/H/08f/58hD0AAACYTGMfsXMcpyecBUEQ3egQhmHPtXIn2bbd83kYhkqn07Isa2Cdx83NzWlubu7NdwIAAGACjT3Y2batfD4v13XVbDajR5dI0tLSkmq1WnTzg+d5CsNQtm0rm80qnU7LdV25rqtqtSrP886tEwAAYFokOp1OJ+5OxKXdbmt+fl77+/u6fft23N3BNfLi9Su9/9tfSJK++vgz3Zq9EXOPzMRxBoCL5RXePAEAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhpiJuwPAZeh0Onp5+Hps7b04fDW2tgAAGBbBDtdep9PRj3/3SE+//TrurgAAECumYnHtvTx8HVuou//OPd2cmY2lbQAATmLEDkb5w09/rlszN8bW3s2ZWSUSibG1BwDAWQh2MMqtmRu6NTu+YAcAwCSJJdi5ritJajabsm1bjuOcKhOGoSqViiRpY2OjZ9tms6laraZcLhdtm8vlVCwWJUnb29sqlUpXvRsAAAATZezBLggCeZ6ncrksScpkMn2Dne/72tvb08LCQrSuXq9LktbW1hSGoRYXF9VqtaJ6V1ZWtLy8rN3d3THsCQAAwGQZ+80Tvu/Lsqxo2bIs+b5/qlw2m1UqlepZ12w25XletF0ymYzCXrFYVKvVkud5PfUDAABMi7GP2DUajZ5RuGQyqTAMh9rWcZye0b1ms6l0Oi1Jqlar0TrpaFTvpIODAx0cHETL7Xb7wv0HAACYVBNx80Q3jF3E+vq6Hj9+HC0fv6YulUppdXX11Mjd5uamHj58OHI/AQAAJtnYp2L7Ta/atn2hOlzXVSaTUTabjZYLhUL0uWVZCoLg1HbFYlH7+/vRz/Pnz0fYA5yl0+noxetX4/3hLRAAAEiKYcTOcZyeEBYEQTS9GobhudfHda/RcxxH9XpdlmXJtu2e7cIwjKZoj5ubm9Pc3Nyl7AdO4w0QAADEa+zBzrZt5fP56LEl3UeUSNLS0pJqtVp0Q4XneQrDULZtK5vNKggC5XK5qHwYhup0OpKORu1c11W1Wo1usMB4xfkGCIm3QAAAkOh0k9EUarfbmp+f1/7+vm7fvh13d669F69f6f3f/kLS+N8AIfEWCBMd/0599fFnPHwawFS6SF6ZiJsnYB7eAAEAwPiN/eYJAAAAXI2Rgt3x6+IAAAAwGUaait3d3VUqldLy8rI++OCDS+4SAAAARjFSsKvVapqfn9ezZ8/05MkTSdJPfvKTS+0YAAAALmakqdj5+XlJ0uLiovb29rSxsaF8Pq8nT57oj3/842X2DwAAAEMaacQun88rmUxqZ2dHa2tr8jxPi4uLkqTf//73CoJAP/rRjy61owAAADjbSCN2tVpNS0tL2tvb0+bmZhTqJKnVaikMw8vqHwAAAIY0UrD7p3/6J/3sZz+TJO3v7+uLL76IpmB3dnbOfS0YAAAALt9Iwe74+1bn5+f1j//4j/J9X5L06NEjpmEBAABiMPQ1dvv7+9rZ2VEikej7LtZarRaN4gEAAGD8hg528/PzchxHpVJJjUaj57o6SdrY2Lj0zgEAAGB4F7ordnFxUY8ePdKXX36plZWVq+oTAAAARjDSNXb9Qh3PrwMAAIjXUCN2T548keM4un37tiTpN7/5Tc/nrVZLvu/rP/7jPy6/hwAAABjKUCN2//7v/66nT59Gy48ePVKr1Yp+JGlvb+9qeggAAIChDDVidzzUSdLjx4/14Ycf9qxzHOfyegUAAIALG+kau+3tbf3mN79Ru93WP/zDPyifz+vZs2eX3TcAAABcwEjB7v79+/rZz36mcrmsDz/8UNvb20zFAgAAxGykYHfnzh1JR68P++lPfypJSiaTl9crAAAAXNiFnmPX1Wg01Ol01Gg09MEHH+jZs2fRTRQAAACIx0gjdqurq6rX66rVatrf31e5XFYYhpfcNQAAAFzESCN28/Pz+ud//udo+Ve/+hUPKAYAAIjZSMFOkv7whz+o2WxGy+VyWdvb25fSKQAAAFzcSMFudXVVYRjKsqxo3e9///vL6hMAAABGMFKwy2Qy+uSTT3rWffHFF5fSIQAAAIxmpJsnUqnUUOsAAAAwPiM/7qRcLuv+/fuSpE6no52dHVWr1UvtHAAAAIY30ohduVzW4uKiOp2OOp2OJEX/CwAAgHiMNGJXKpW0srLSs85xnEvpEAAAAEYz0ojdysqKfv3rXyufz0uSvvzyS66xAwAAiNlIwa5YLMqyrGiUbmVlRb7vX2rHAAAAcDEjBbvl5WV98sknsm37svsDAACAEY0U7J49eyZJSiQS0TruiAUAAIjXSDdPfPjhh1peXtbCwoI8z5Pv+yqVSpfdNwAAAFzAyDdP7Ozs6MMPP1Sn01GlUtGPfvSjy+4bAAAALmCkETtJsm1bv/rVr0ba1nVdSVKz2ZRt230flRKGoSqViiRpY2Pj3G2HqRMAAMBkFwp27XZblUpF1WpVYRhqaWlJ6+vrunfv3tB1BEEgz/NULpclHb13tl8I831fe3t7WlhYOHfbYesEAAAw2dBTsb/+9a9lWZY+//xzdTodzc/P6z//8z+VTqf1r//6r0M36Pu+LMuKli3L6vuolGw2e+rZeIO2HbZOAAAAkw01YvfFF1+oWq2q1Wppfn7+1OcPHjzQkydP9JOf/OTcuhqNRs8oXDKZVBiGQ3V20LbD1nlwcKCDg4Noud1uD9UuAADAdTDUiJ3v+9rZ2ekb6iTp0aNH8jxv5E40m81L37bf+s3NTc3Pz0c/d+/eHbldAACASTNUsBvmQcTDPqz45PRq92aHN9l22DqLxaL29/ejn+fPnw/VLgAAwHUwVLC7c+fOpZSRJMdxeh5mHARBdKPDeVOyg7Y9q87j5ubmdPv27Z4fAAAAUwx1jV2j0dB3332nTqdzZplh2LatfD4v13XVbDZVLBajz5aWllSr1aKbHzzPUxiGsm1b2Wx24LZn1QkAADAtEp2z0tr/99Zbb/W8PuykTqejRCKhv/zlL5fauavWbrc1Pz+v/f19Ru8uwYvXr/T+b38hSfrq4890a/ZGzD3Cdcd3CgAulleGGrFbW1s785VhnU5H//Iv/3KxXgIAAOBSDRXs1tfXB94Re7wMAAAA4jNUsPvwww8vpQwAjOrF4auxtndzZvbMS1AAYBKN/K5YABinDz7/5Vjbu//OPT356AHhDsC1MvQrxQBg3G7OzOr+O8O/i/oyVb/9Wi8PX8fSNgCMihE7ABMrkUjoyUcPxhqwXhy+GvvoIABcFoIdgImWSCR4zAkADImpWAAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDzMTRqOu6kqRmsynbtuU4ztBlcrmcHj9+LMuyesrncjkVi0VJ0vb2tkql0hXuAQAAwOQZe7ALgkCe56lcLkuSMpnMqWA3qEwQBHJdV77vS5LCMFSpVNLGxoaCINDKyoqWl5e1u7s73p0CAACYAGMPdr7v94y2WZYl3/d7wt2gMpLUarWizyqVitbW1iRJxWJR2Wz2yvsPAAAwqcYe7BqNhhYWFqLlZDKpMAyHKnM8uFUqFa2urkbL1WpV0tHUraQo8B13cHCgg4ODaLndbr/ZzgAAAEyQWK6xO6kbxoYtEwSBwjDsGdU7fk1dKpXS6urqqevwNjc39fDhwzfuLwAAwCQa+12xqVSqZ7l7c8RFypTLZaXT6WjZdV0VCoVo2bIsBUFwqu1isaj9/f3o5/nz52+0LwAAAJNk7CN2juP0hLAgCKLr67qjcGeVkY6C3Pr6erRs23bP6FwYhj3Br2tubk5zc3OXuTsADPbi8NXY27w5M6tEIjH2dgGYYezBzrZt5fN5ua6rZrMZPaJEkpaWllSr1c4sIx2NyCWTyWg5nU7LdV25rqtqtSrP88a2PwDM9cHnvxx7m/ffuacnHz0g3AEYSaLT6XTi7kRc2u225ufntb+/r9u3b8fdnWvvxetXev+3v5AkffXxZ7o1eyPmHgEX1+l09JPfPVL1269j6wP/fgAcd5G8MhE3TwDApEgkEnry0QO9PHw91nZfHL6KZYQQgFkIdgBwQiKRYMQMwLXEu2IBAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEDNxdwAA0OvF4auxt3lzZlaJRGLs7QK4XAQ7AJgwH3z+y7G3ef+de3ry0QPCHXDNMRULABPg5sys7r9zL7b2q99+rZeHr2NrH8DlYMQOACZAIpHQk48ejD1cvTh8FcsIIYCrQbADgAmRSCR0a/ZG3N0AcI0xFQsAAGAIgh0AAIAhCHYAAACGINgBAAAYgmAHAABgCIIdAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIYg2AEAABiCYAcAAGAIgh0AAIAhZuJo1HVdSVKz2ZRt23IcZ+gyuVxOxWJRkrS9va1SqTR0nQAAACYbe7ALgkCe56lcLkuSMpnMqRB2VpkgCLSysqLl5WXt7u4OXScAAIDpxh7sfN+XZVnRsmVZ8n2/J4idVaZYLCqbzV64zmnT6XT08vD1WNt8cfhqrO0BAIBeYw92jUZDCwsL0XIymVQYhkOXqVarko6mXCVpbW1tqDol6eDgQAcHB9Fyu91+092ZSJ1ORz/+3SM9/fbruLsCAADGKJZr7E7qhrRhynSvqZOkVCql1dXVoevc3NzUw4cPR+zl9fHy8HWsoe7+O/d0c2Y2tvYBAJhWYw92qVSqZzSte7PDMGVc11W1Wo3CnWVZCoJgqDolqVgs6tNPP42W2+227t69ezk7NqH+8NOf69bMjbG2eXNmVolEYqxtAgCAGIKd4zgqFArRchAE0bVwYRjKsqyBZer1es+1dGEYKp1Oy7KsgXUeNzc3p7m5uSvYq8l1a+aGbs2ON9gBAIB4jD3Y2batfD4v13XVbDajR5dI0tLSkmq12sAy6XRarutGI3ee551bJwAAwLSI5Rq7k3e1djUajXPLdNef/HxQeQAAgGnBmycAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDzMTRqOu6kqRmsynbtuU4ztBlXNdVs9lUrVZTLpeL1udyORWLRUnS9va2SqXSOHYFAABgYow92AVBIM/zVC6XJUmZTOZUsBtUpl6vS5LW1tYUhqEWFxfVarWibVZWVrS8vKzd3d0x7hEAAMBkGPtUrO/7siwrWrYsS77vD1Wm2WzK87xoXTKZjMJesVhUq9WS53k92wIAAEyLsY/YNRoNLSwsRMvJZFJhGA5VJpvN9ozuNZtNpdNpSVK1Wo3WSUejeicdHBzo4OAgWm6322++QwAAABMilmvsTuqGsYuUWV9f1+PHj6Pl49fUpVIpra6unhq529zc1MOHD9+sswAAABNq7FOxqVSqZ7l7c8RFyriuq0wmo2w2Gy0XCoXoc8uyFATBqbaLxaL29/ejn+fPn7/x/gAAAEyKsQc7x3GiaVPp6KaH7vRqd0r2rDLd6++y2azq9bqCIJBt28pkMlH5MAyjKdrj5ubmdPv27Z4fAAAAU4x9Kta2beXz+eixJd1HlEjS0tKSarXawDJBECiXy0XlwzBUp9ORdDRq57quqtVqdIMFAADANInlGrvuFOpJjUbjzDK2bUePNxlU56C6AQAATMebJwAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwxEzcHQAATJ9Op6OXh6/j7sZUuDkzq0QiEXc3rlzc36lJOc4EOwDAWHU6Hf34d4/09Nuv4+7KVLj/zj09+ejBRISOqzIJ36mvPv5Mt2ZvxNZ+F1OxAICxenn4mlA3RtVvvzZ+dJTv1F8xYgcAiM0ffvpz3ZqJf5TDRC8OX+mDz38ZdzfGLq7v1M2Z2bG32Q/BDgAQm1szNyZi+grmmPbvFFOxAAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgAAAIbgrtgrFseTsF8cvhprewDMMK5zB+eo8Rv3MZ+UtzBMI4LdFXt5+Frv//YXcXcDAM41jc88mxbj/t1Ow9suJhVTsQa7/869iXlgIoDJdHNmVvffuRdL25yjrlacv9tpeNvFpGLE7ordnJnVVx9/Flvb/L8lAGdJJBJ68tGDWP4Ic466WnH8bqf1bReThGB3xRKJxFQ/ARvA5OM8ZS5+t9OHqVgAAABDEOwAAAAMQbADAAAwRCzX2LmuK0lqNpuybVuO4wxd5qLrAQAApsXYg10QBPI8T+VyWZKUyWROhbBBZS66HgAAYJqMfSrW931ZlhUtW5Yl3/eHKnPR9QAAANNk7CN2jUZDCwsL0XIymVQYhkOVueh6AAAQj3G+xozX1P3VRDzHrtlsjlzmIusPDg50cHAQLe/v70uS2u32MN0EAABnePH6lb5/efR39n/+3/8dSx/a7bYODXt2XzendDqdc8uOPdilUqme0bTuzQ7Dlrno+uM2Nzf18OHDU+vv3r07wp4AAIBJ8z/+1/+JuwtX5rvvvtP8/PyZZcYe7BzHUaFQiJaDIIhudAjDUJZlDSwTBMGF1p9ULBb16aefRsvff/+9ms2mFhYWJva1Nu12W3fv3tXz5891+/btuLszETgmp3FMTuOY9MdxOY1jchrH5LQ4j0mn09F3332nd99999yyic4w43qX7PijSZLJpLLZrKSjkbparSbLsgaWuej6667dbmt+fl77+/v84/r/OCancUxO45j0x3E5jWNyGsfktOtyTGK5xm5Q6Go0GueWueh6AACAacGbJwAAAAxBsJtwc3Nz+rd/+zfNzc3F3ZWJwTE5jWNyGsekP47LaRyT0zgmp12XYxLLNXYAAAC4fIzYAQAAGIJgBwAAYIiJePME+nNdV81mU7VaTblcru+z+aaV67rRMw8hbW1tRQ/l5g7xvz7+qGtaj0kYhqpUKpKkjY2NaP3xx0PZtj1V/47OOibTer4ddEy6pvF8e9YxmfTzLcFuQtXrdUnS2tqawjDU4uKiWq1WzL2aDGEYanNzU8ViMe6uTIRMJqPd3V1ZlqWlpaWJPNGMUxiGCoIgOhmvr69P7THxfV97e3s979IOgkCe56lcLks6+v5M0x/sfsdk2s+3/Y5J17Sebwcdk+twvmUqdkI1m015nidJsixLyWQyOvlMu52dHeXz+bi7MRHq9bosy4r+u1arxduhCWBZlsrlcvTvpXt8plE2m1UqlepZ5/t+zzGxLEu+74+5Z/Hpd0ym/Xzb75h0Tev5tt8xuS7nW4LdhHIcJ/p/1NLRiSedTsfYo8lQr9enanThPE+fPlUQBAqCQNLR6BSkUqmkpaUlLS0tTd1Iw3kajUbPKEQymex51/Y04nzbH+fbXtflfEuwuwbW19f1+PHjuLsxEYIgiK5twNE0STKZVDqdVjqd1tOnT6dqpGGQarWqWq2mZDKplZWVuLsz8ZrNZtxdmBicb/+K822v63K+JdhNONd1lclkJnIef9y2trYkHR2TarUqz/Mm8h/VONm23XPiTSaT0f+bnFbdfzPpdFqe52l5eXmqphrP028akj/eRzjf/hXn29Ouy/mWmycmWPdaGMdxorn9aT4BH78zqVqt6v79+1M/XXJyCikIgqmfOjkZVDKZjJLJZIw9miyO46hQKETLfGeOcL7txfn2tOtyviXYTaggCJTL5aLlMAzFS0KO+L4v3/cVBIHS6fRUn3wty9L6+roqlYrCMFSpVJrqmwWkozsbt7a29PTpU0mKpk6mke/78jxPYRjKtm1ls1nZtq18Ph893mParkHsd0ym/Xzb75gc/2waz7f9jsl1Od/ySjEAAABDcI0dAACAIQh2AAAAhiDYAQAAGIJgBwAAYAiCHQAAgCEIdgCmTqVS0Z07d8b+wNWlpSW5rjvWNgFMF4IdgKmztram5eXlK2/n5DtYS6XSRD7QFIA5CHYAcAWCINDOzk7POsdxJvKBpgDMQbADgCtQKpXi7gKAKUSwAzAV6vW6CoWCXNeNXqfV5fu+lpaWel58nkql5Pt+9HkqlVKlUlGlUtHS0lJUzvd9VSqVnvev+r6vp0+fyvM8VSoVBUGger2upaUlVSqVnj5tbW3JdV1tbW1FLxTv9qdSqUT1n3zlVfcz13V72gYw3XhXLADjhWGoXC6nRqMRrdvc3Iz+23Ec5fP5aDmbzWp7e7vnc8dxVKvVVC6XlUwmJSmq03Ecra+vy3VdZbPZqHwqldLa2lpUz/E2giBQoVCQ53nRuqWlJX355ZfR9p7naXd3V5K0u7urer2udDqtSqWidDodXa93PKQCmG4EOwDG29nZUTqd7lnXDWfDsixLCwsLkhS9JL3VasmyLAVBoGazGY24DaNcLp/qk23b2tnZ0dramhYWFqL2uu13A1w2m9XS0pJs21Y+n+8JjwCmG1OxADAk27Z7ljc3N6Pp25OfHXfy7tg3lUwm1Wq19PjxY+3t7fVM0wKYbgQ7AMZzHOfUM+tOjq5ZlqW9vb1o2ff9U4Hs5HV59XpdGxsbsm07Ktu9Lu+44+u65fL5/Kmy9Xpdq6ur5+7P5uamgiBQOp1WqVTiTlsAEaZiARjPtm3t7u6qUCgok8koDENZlqXNzU2VSiXZtq3V1VUVCoUobDmOE02XBkEQBTnbtuU4jpaXl2VZVlQ+l8upXC5HI3fr6+sqlUqqVCpRsNze3lYymVQ2m41C2dbWlmzbVrVa1e7urizLisp2+9G9+aJb/8LCgnzfVzKZVLPZ7Ll2D8B0S3Q6nU7cnQAAAMCbYyoWAADAEAQ7AAAAQxDsAAAADEGwAwAAMATBDgAAwBAEOwAAAEMQ7AAAAAxBsAMAADAEwQ4AAMAQBDsAAABDEOwAAAAMQbADAAAwBMEOAADAEP8PESvkpxC/OeoAAAAASUVORK5CYII=\n"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for data_option in data.keys():\n",
" title = 'durations per class'\n",
" # Create the pandas DataFrame\n",
" df = pd.DataFrame().from_dict({key:val for key, val in data[data_option].items() if key!='durations_per_class'})\n",
" # Plotting\n",
" histplot = sns.histplot(\n",
" data=df, x=\"durations\", hue=\"labels\",\n",
" hue_order=sorted(data[data_option]['durations_per_class'].keys()),\n",
" log_scale=False, element=\"step\", fill=False, bins='auto',\n",
" cumulative=False, stat=\"density\", common_norm=False,\n",
" )\n",
" histplot.set(title=f'{data_option}-dataset {title}')\n",
"\n",
" show_and_save(data_option, title)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Histogram plotting for durations\n"
}
}
},
{
"cell_type": "code",
"execution_count": 46,
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" durations\n",
"labels \n",
"negative 215\n",
"positive 71\n",
" durations\n",
"labels \n",
"negative 183\n",
"positive 48\n",
" durations\n",
"labels \n",
"? 208\n"
]
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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+fWvHukqmmYtr7AAAeHuCHQBAIgQ7AIBECHYAAIkQ7AAAEiHYAQAkQrADAEiEYAcAkAjBDgAgEYIdAEAiBDsAgEQIdgAAiRDsAAASIdgBACRCsAMASIRgBwCQCMEOACARgh0AQCIEOwCARAh2AACJEOwAABIh2AEAJEKwAwBIhGAHAJAIwQ4AIBGCHQBAIgQ7AIBECHYAAIkQ7AAAEiHYAQAkQrADAEiEYAcAkAjBDgAgEYIdAEAiBDsAgEQIdgAAiRDsAAASIdgBACRCsAMASIRgBwCQCMEOACARgh0AQCJuPdiVZRk7Ozuxs7Mz097v96PX68Xm5mYMh8OqfW1tLUajUYxGo2i1WrddLgDAe+Nrt33A4XAYz58/j+Xl5aptNBpFRMTGxkaUZRkPHjyIo6OjiIgoiiIePXoUDx8+jL29vdsuFwDgvXHrPXbNZjNqtdpM23g8jsFgEBERWZbF0tJSFfba7XYcHR3FYDCILMtuu1wAgPfGrffYXaTRaESj0aiWx+Nx1Ov1iIjY39+v2iJe9Opd5PT0NE5PT6vlk5OTd1UuAMBcmotgd9bm5mZ89tln1XKn06m+r9Vqsb6+fmHP3fb2djx58uQ2SgQAmEtzNSu23+/H6upqNJvNavnshIksy6Ioigv3bbfbcXx8XH09e/bsVmoGAJgXc9NjNxwOI8uyaDQaMRqNIsuyyPN8pneuLMtqiPZlCwsLsbCwcEvVAgDMnzuZFTsYDKIsy8jzPJrNZhRFEWtra9U2ZVnGZDKJiBe9dv1+P/b396sJFgAAnHdvMk1QiTk5OYnFxcU4Pj6O+/fv33U5ADfmZz/45l2XAB+8b//k17d2rKtkmrm6xg4AgOsT7AAAEiHYAQAkQrADAEiEYAcAkAjBDgAgEYIdAEAiBDsAgEQIdgAAiRDsAAASIdgBACRCsAMASIRgBwCQCMEOACARgh0AQCIEOwCARAh2AACJEOwAABIh2AEAJEKwAwBIhGAHAJAIwQ4AIBGCHQBAIgQ7AIBECHYAAIkQ7AAAEiHYAQAkQrADAEiEYAcAkAjBDgAgEYIdAEAiBDsAgEQIdgAAiRDsAAASIdgBACRCsAMASIRgBwCQCMEOACAR1w52v/rVr6rvj4+P4/PPP59pAwDgdl072A2Hw+r7xcXF+O53vzvTBgDA7fraVTY+Pj6Op0+fxr1792IwGJxbf3BwED/4wQ9urDgAAN7clYLd4uJiNBqN6HQ6cXh4GA8ePJhZv7W1daPFAQDw5q4U7CIiHjx4EH/9138dX3zxRTx69Ghm3ZtcY1eWZfR6vYiYDYL9fj8iIsbjceR5Ho1G45XtAADMunKwm3r06FH84he/iPF4XLV1u93Y3d195X7D4TCeP38ey8vLVVtRFDEYDKLb7UZExOrqajQajUvbAQA479rBbn19PcqyjCzLqraf//znr92v2WzGeDyOsiyrtuFwOPM4WZbFcDiMoigubBfuAADOu3awW11djU8//XSm7fPPP7/WYx0eHs704C0tLUVZlpe2X+T09DROT0+r5ZOTk2vVAgDwvrr27U5qtdobtV3X2SHeN2nf3t6OxcXF6uvjjz++sVoAAN4H1+6xOzw8jG63G5988klEREwmk3j69Gns7+9f+bFqtdpMT9x0okREXNr+sna7HX/6p39aLZ+cnAh3AMAH5do9dt1uNx48eBCTySQmk0lERPXvVTUajZlAWBRFNBqNS9svsrCwEPfv35/5AgD4kFy7x67T6Zy73cmbTGoYDocxGAyiLMvI8zyazWbkeR6PHz+Ofr8f4/E42u12RMSl7QAAnHdvct1utgv86le/it///d+/qYd7KycnJ7G4uBjHx8d674Ck/OwH37zrEuCD9+2f/PrWjnWVTHPtHrt/+Zd/mVkuyzK63W788z//83UfEgCAt3DtYLexsRErKyvVdXXD4TBWV1dvrDAAAK7mra6x++53vzvT9sUXX7x1QQAAXM+1Z8W+HOoiIu7du/dWxQAAcH3X7rH7i7/4i5nl58+fR1mW8Z3vfOetiwIA4Oqu3WP3D//wD9U97CaTSeR5Hj/60Y9usjYAAK7gRu9jBwDA3bl2sHv06FGcnJzE06dPIyJifX3d/eIAAO7QtYdif/nLX8Z3vvOd+OlPfxo//elPY2VlJX7xi1/cYGkAAFzFtXvsPv/88/jyyy9n2trtdvzBH/zB29YEAMA1XLvH7sGDB+faHj58+FbFAABwfdcOdkVRnGv75S9/+VbFAABwfdceim00GvGHf/iHsbKyEhEvPlKs0+ncWGEAAFzNtXvsvvWtb0W3263uY9fr9dycGADgDl27x+74+Dg+//zz+LM/+7O4f/9+fPHFF3FycuKWJwAAd+TaPXZPnz6N//qv/6qWHz16FMPh8EaKAgDg6q7dY7e8vByffvrpTdYCAMBbuHaP3b/927/FV199NdO2v7//1gUBAHA91+6x29zcjG9961tRq9Uiy7IYjUbR7XZvsjYAAK7g2sHuwYMHcXBwEE+fPo2yLONHP/rRhTctBgDgdlw72EVELC4uus4OAGBOXPsaOwAA5otgBwCQCMEOACARgh0AQCIEOwCARAh2AACJEOwAABIh2AEAJEKwAwBIhGAHAJAIwQ4AIBGCHQBAIgQ7AIBECHYAAIkQ7AAAEiHYAQAkQrADAEiEYAcAkAjBDgAgEYIdAEAiBDsAgETMVbBbW1uLsiwvbB+NRjEajaLVat1+YQAA74G5CXZFUUS/348HDx7ERx99FPfu3YudnZ1q3aNHj6LVakW73b7jSgEA5tPX7rqAqaIo4ujoKLIsi4iIXq8XGxsbERHRbrej2WzeYXUAAPNvboJdo9Govu/1erG+vl4t7+/vR0TEeDyOiKgC31mnp6dxenpaLZ+cnLyrUgEA5tLcBLupoiiiLMuq5y4iotPpVN/XarVYX1+fWR8Rsb29HU+ePLmlKgEA5s/cXGM31e12o16vV8v9fn9mwkSWZVEUxbn92u12HB8fV1/Pnj27lXoBAObF3PXY9fv92NzcrJbzPJ/pnSvLcib4TS0sLMTCwsJtlAgAMJfmrscuy7JYWlqqluv1epRlWfXcDQaDO6wOAGB+zV2P3cHBwbm26YxYM2MBAC43dz12AABcj2AHAJAIwQ4AIBGCHQBAIgQ7AIBECHYAAIkQ7AAAEiHYAQAkQrADAEiEYAcAkAjBDgAgEYIdAEAiBDsAgEQIdgAAiRDsAAASIdgBACRCsAMASIRgBwCQCMEOACARgh0AQCIEOwCARAh2AACJEOwAABIh2AEAJEKwAwBIhGAHAJAIwQ4AIBGCHQBAIgQ7AIBECHYAAIn42l0XAHdtdXU1BoPBTFuv14uyLCPLsjg8PIx2ux1Zlt1NgQDwhgQ7Pmj9fj+Gw+FM287OTmxsbFRBrizL+PTTT2Nvb+8OKgSAN2colg9WWZYxHo/PtQ8Gg5neuSzLoizL2ysMAK5JsOOD9fTp01hfXz/XnmVZrK6uVmGuKIrI8/yWqwOAqzMUywdpOBxGo9G4cN1nn30WKysr8dFHH8XW1lbUarXodru3XCEAXJ0eOz5IZVle2guXZVm0Wq1oNpuxs7MTe3t7hmIBeC8Idnxwer1eNJvNS9e3Wq3I8zz29vbi8PAwxuNxrKys3GKFAHA9gh0flNFoFA8fPrx0fVEUUZZlNUyb53kcHBxElmXR7/dvq0wAuBbX2PFBGY/HMRqNqlucHB4eRsSLW5zkeR5Zll14v7rNzc3bLBMArkWw44PSaDRmJk2MRqPo9XqxtbVVtXU6nermxFMHBwcmUAAw9wQ7Plj9fj92d3cj4sV1daurq9FoNGJvby+2t7djeXm5uoddp9O542oB4PXuTSaTyV0X8S6cnJzE4uJiHB8fx/379++6HIAb87MffPOuS4AP3rd/8utbO9ZVMs1c9ditra1Fu92OiIjd3d2ql2R60fp4PI48zy+9/xgAwIdsroJdURTx6NGjePjwYfW5nEVRxGAwqK5vmg6XAQAwa65ud9Jut+Po6GjmszqHw+G5z+18+UPbAQCYsx67/f39iIjqg9k3Njbi8PAwlpeXq22WlpYu/BSA09PTOD09rZZPTk7ebbEAAHNmroLd2ZmHtVrtwg9oj/if4HfW9vZ2PHny5J3VBgAw7+ZmKLbf70er1aqWsyyLoiiiVqvNbDedQPGydrsdx8fH1dezZ8/eec0AAPNkbnrspnf9nyrLMur1evWB7FNFUVw4eWJhYSEWFhZuo1QAgLk0N8GuXq9Hv9+Pfr8f+/v7MRgMIuJF4Hv8+HH0+/0Yj8fV7VAAAJjlBsU36P/4Xz+8leMAl/u/f/i/7rqEd84NiuHuzesNiufmGjsAAN6OYAcAkAjBDgAgEYIdAEAiBDsAgEQIdgAAiRDsAAASIdgBACRCsAMASIRgBwCQCMEOACARgh0AQCIEOwCARAh2AACJEOwAABIh2AEAJEKwAwBIhGAHAJAIwQ4AIBGCHQBAIgQ7AIBECHYAAIkQ7AAAEiHYAQAkQrADAEiEYAcAkAjBDgAgEYIdAEAiBDsAgEQIdgAAiRDsAAASIdgBACRCsAMASIRgBwCQCMEOACARgh0AQCIEOwCARAh2AACJEOwAABIh2AEAJEKwAwBIhGAHAJCIuQp2/X4/er1ebG5uxnA4rNrX1tZiNBrFaDSKVqt1hxUCAMyvr911AVOj0SgiIjY2NqIsy3jw4EEcHR1FRERRFPHo0aN4+PBh7O3t3WWZAABza2567MbjcQwGg4iIyLIslpaWqrDXbrfj6OgoBoNBZFl2h1UCAMyvuemxazQa0Wg0quXxeBz1ej0iIvb396u2iBe9ei87PT2N09PTavnk5ORdlgsAMHfmJtidtbm5GZ999lm13Ol0qu9rtVqsr6+f67nb3t6OJ0+e3FaJAABzZ26GYqf6/X6srq5Gs9msls9OmMiyLIqiOLdfu92O4+Pj6uvZs2e3VjMAwDyYqx674XAYWZZFo9GI0WgUWZZFnuczvXNlWVZDtGctLCzEwsLCLVYLADBf5ibYFUURa2tr1XJZljGZTCLiRa9dv9+P/f39aoIFAACz5ibY5Xle3d7kZdNh2em/AACcN3fX2AEAcD2CHQBAIgQ7AIBECHYAAIkQ7AAAEiHYAQAkQrADAEiEYAcAkAjBDgAgEYIdAEAiBDsAgEQIdgAAiRDsAAASIdgBACRCsAMASIRgBwCQCMEOACARgh0AQCIEOwCARAh2AACJEOwAABIh2AEAJEKwAwBIhGAHAJAIwQ4AIBGCHQBAIgQ7AIBECHYAAIkQ7AAAEiHYAQAkQrADAEiEYAcAkAjBDgAgEYIdAEAiBDsAgEQIdgAAiRDsAAASIdgBACRCsAMASIRgBwCQCMEOACARgh0AQCK+dtcFvIl+vx8REePxOPI8j0ajcccVAQDMn7kPdkVRxGAwiG63GxERq6urgh0AwAXmfih2OBxGlmXVcpZlMRwO764gAIA5NffB7vDwMJaXl6vlpaWlKMvy7goCAJhTcz8Ue5HxeHyu7fT0NE5PT6vl4+PjiIg4OTm5tbr+v//n9PUbAe/Ubf6fvyv//f/+5q5LgA/ebb7XTI81mUxeu+3cB7tarTbTQzedQPGy7e3tePLkybn2jz/++F2WB8yZxT/7P++6BOBD8H8t3vohv/rqq1hcfPVx703eJP7doaIootVqxd7eXkRErKysxMHBwbntXu6x+81vfhPj8TiWl5fj3r17t1Yv76+Tk5P4+OOP49mzZ3H//v27LgdIlPcarmoymcRXX30V3/jGN+K3fuvVV9HNfbCLmL3dydLSUjSbzTuuiBSdnJzE4uJiHB8fe7MF3hnvNbxLcz8UGxGCHADAG5j7WbEAALwZwQ7+t4WFhfjzP//zWFhYuOtSgIR5r+Fdei+usQMA4PX02AEAJEKwgzNqtdpbrQe4Kd5vuA7BDs4YDAbV971e75XrAW6K9xtuimvs4BKX3Qwb4KZ5v+GmvBf3sYNXGQ6Hsba2Fp1OJ5aWlmIwGESr1ao+em5nZ2fmY+iazWaMRqMoiiKyLIu9vb3odrsxGo1ibW0tDg4O4ssvv4yyLKPX60We59FoNGbWD4fD+PTTT+OLL76Ier0em5ubkWVZRER88sknURRFNBqNqNfrd3FKgBs0Go3i0aNHsbe3F2VZxu7ubvVpSBERrVbr3P/7VqsVtVotDg8P45NPPonxeBwbGxvRarVidXU1BoNBbG5uRp7nMRwOvd9wYwQ73nuNRiPyPI/19fXIsizq9Xqsrq7G4eFhNbwxvcn19I10d3c3arVaNBqNWFpaioiIer1eBcBGoxFZlsXGxkZ1nLPrm81mDAaDGI/HEfHir+2IiLIsq2NN37yB91u9Xo+HDx/G0tJSNBqNKIoi+v1+NJvN6PV6sby8PPP/vtPpRFEU0el0otfrVaEuImJ5eTkajUZERHQ6neh2u95vuFGusSMZ079g8zyP8XgcZVnGwcHBTG9drVaL4XAY7XY7Dg4OYmVlJba3t691vFarFZ1OJ8qyjDzP4+DgIJ4/fx7D4TCGw2F0Op2beFrAnJi+x5x10f/7PM+jLMvqPejhw4cz+/R6vRiNRlVQexPeb3hTgh3JKMuy+ndpaSmyLIuVlZUoiqLa5vDwMOr1ejx9+jS63W4cHh7G0tLSzDYvP+b0s4pfNg2MvV4vGo1G9Vd0o9Go/iIH0jHt3T/rov/3WZZFq9WKoiii2+1WQ6S9Xi+eP38eGxsb1baj0ah6LO833ATBjmQ8ffo0+v1+bG9vV0MS06GNfr8fvV4vVlZWotFoxOHhYfT7/ej3+1Gr1SLP8+q6u6dPn0bEi2HbXq9X/ZX+8vqIF39FT21sbMTy8nL0er1L35yB98/0/36v14uyLGMwGMTu7m6UZXnp//vBYHDumreHDx9GWZYxHA6r3rrpH5Xeb7gpZsWSBDPKgHmysrIy08O3t7d34VAu3DSTJ0hGWZbeOIE712q14osvvpjpfev1erG1tXW3hfFB0GPHe296K4J2u+2NE7hzRVHEcDiseuyKooiNjQ1/eHIrBDsAgESYPAEAkAjBDgAgEYIdAEAiBDvggzUcDmNlZaX66LnXbVur1a58z7CrHAPgbQl2wAer0WjE48eP33jb69zh/yrHAHhbgh3AG3K7CmDeCXYAAInwyRMAZ/T7/ciyLIqiiMPDw+h0OjPrB4NBZFkWZVnG/v5+tNvtqidvOBzGaDSKPM9jf3//3L4RLz4h5enTp5HnefUYF20HcB2CHcAZa2trcXh4GI1GIzY3N6Pf70ez2azW12q16lq7LMtibW0tBoNBFEURrVar+szi8XgcOzs75z4NpdfrRb1erx5j+mHwADdBsAM44+joqOqxG4/HURTFzPqz19k1Go1YXV2Nsiyj2+3G0tJSDIfDav3+/v65x282m7GyshJ5nsfjx49jY2PjnT0X4MMj2AGcsb29HcvLy9FsNiPP8yvte7YnLiIuDG1LS0txdHQUo9Eodnd3qx4/gJtg8gTwwSvLMiL+5xq5ra2t6hq4afvL20ZEjEajaDQakWVZPH78eGa7y/bb3t6OoiiiXq9Hp9Mx0xa4UXrsgA/WtNcs4sWw6sOHDyPLsiqQra2tRbfbnem5y/M8iqKIsizjyy+/jL29vYiIKqi1Wq345JNPqsd8+RjLy8sxHA5jaWkpxuOxe9wBN+reZDKZ3HURAAC8PUOxAACJEOwAABIh2AEAJEKwAwBIhGAHAJAIwQ4AIBGCHQBAIgQ7AIBECHYAAIkQ7AAAEiHYAQAkQrADAEiEYAcAkIj/H4PBhtrSz8txAAAAAElFTkSuQmCC\n"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for data_option in data.keys():\n",
" title = 'counts per class'\n",
" # Create the pandas DataFrame\n",
" df = pd.DataFrame().from_dict({key:val for key, val in data[data_option].items() if key!='durations_per_class'})\n",
" # Plotting\n",
" print(df.groupby('labels').count())\n",
" plot = sns.countplot(\n",
" data=df, x='labels', # hue=\"labels\",\n",
" # hue_order=sorted(data[data_option]['durations_per_class'].keys()),\n",
"\n",
" )\n",
" plot.set(title=f'{data_option}-dataset {title}')\n",
"\n",
" for p in plot.patches:\n",
" plot.annotate(format(round(p.get_height()), '.0f'),\n",
" (p.get_x() + p.get_width() / 2., p.get_height()),\n",
" ha = 'center', va = 'center',\n",
" size=12,\n",
" xytext = (0, (-12) if p.get_height() > 300 else (10)),\n",
" textcoords = 'offset points')\n",
"\n",
" show_and_save(data_option, title)\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Histogram plotting for class Count\n"
}
}
},
{
"cell_type": "code",
"execution_count": 47,
"outputs": [
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for data_option in data.keys():\n",
" title = f'KDE-plot'\n",
" # Create the pandas DataFrame\n",
" df = pd.DataFrame().from_dict({key:val for key, val in data[data_option].items() if key!='durations_per_class'})\n",
" # Plotting\n",
" kdeplot = sns.kdeplot(\n",
" data=df, x=\"durations\", hue=\"labels\",\n",
" hue_order=sorted(data[data_option]['durations_per_class'].keys()),\n",
" # log_scale=False, element=\"step\", fill=False,\n",
" # cumulative=False, stat=\"density\", common_norm=False,\n",
" # kde=True\n",
" )\n",
" kdeplot.set(title=f'{data_option}-dataset {title}')\n",
"\n",
" show_and_save(data_option, title)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% Histogram plotting for durations\n"
}
}
}
],
"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": "3.8.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}