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@wiso
Created May 12, 2017 15:10
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from matplotlib import pyplot as plt\n",
"import pandas\n",
"import seaborn.apionly as sns"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"sorted_productions_mode = \"All\",\"ggH\",\"VBFH\",\"WH\",\"ZH\",\"ttH\",\"bbH\",\"ggZH\",\"tHjb\",\"tWH\"\n",
"sorted_categories = ['c%d' % i for i in range(1, 11)]"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" c1 c2 c3 c4 c5 c6 c7 \\\n",
"All 4.704402 0.793430 8.059338 1.224364 2.812485 3.439193 0.587581 \n",
"ggH 4.911299 0.586136 8.395228 0.918404 2.819357 3.588509 0.432662 \n",
"VBFH 3.310453 2.322399 5.839527 3.505674 2.800129 2.440497 1.718176 \n",
"WH 2.713466 1.686924 5.100839 2.856305 2.564522 1.937043 1.260033 \n",
"ZH 3.193064 2.112990 6.022631 3.443891 3.041481 2.360772 1.538002 \n",
"ttH 2.920542 3.919554 4.376790 4.736435 2.507673 2.160653 2.963197 \n",
"bbH 5.884533 0.198698 8.965256 0.485239 2.954703 4.349747 0.334127 \n",
"ggZH 2.047393 4.935141 3.780853 6.044106 2.647055 1.752692 3.464613 \n",
"tHjb 2.277409 2.842357 4.282856 4.203971 2.801317 1.621701 2.011304 \n",
"tWH 2.692002 6.821079 3.637395 5.621385 2.346942 1.883410 4.781096 \n",
"\n",
" c8 c9 c10 \n",
"All 10.062931 1.512222 4.945745 \n",
"ggH 10.482038 1.133860 4.954404 \n",
"VBFH 7.174909 4.336964 4.933662 \n",
"WH 6.529654 3.648789 4.669263 \n",
"ZH 7.593572 4.311017 5.415241 \n",
"ttH 5.312502 5.510254 4.172376 \n",
"bbH 11.827142 0.385366 5.060027 \n",
"ggZH 4.482254 7.886772 4.925645 \n",
"tHjb 5.351037 5.170377 5.035370 \n",
"tWH 4.635725 7.283423 4.186045 \n"
]
},
{
"data": {
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b1Ziysh0dhnACN2UXEVdPD7zDA0ncf6zI8io1fUg/Z2nhTD8Xi0+94IoMr8z2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\nl5M4Z7SFEEIIIYSokYzayXEe0Ao4C6zHWR7ystb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tmwNwZmvJP6KEKEw5zwh5CXdQqi+w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\nwDpgAK4VJ9YD/Y0x2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"text/plain": [
"<matplotlib.figure.Figure at 0x7fd14133f090>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def plot2d_mod(data, vmax=13, figsize=(13, 8)):\n",
" fig, ax = plt.subplots(figsize=figsize) \n",
" sns.heatmap(data, ax=ax, cbar_kws={'format': '%.2f%%'}, vmin=0, vmax=vmax, annot=True, linewidths=.5)\n",
" ax.set_ylabel('Category')\n",
" return fig\n",
"\n",
"eff={'c9': {'All': 1.5122218353153998, 'ZH': 4.311017349413997, 'bbH': 0.38536613943221376, 'ggZH': 7.886772122498539, 'tWH': 7.2834232352041495, 'WH': 3.648788781711462, 'ttH': 5.510253693947185, 'tHjb': 5.17037735495204, 'ggH': 1.1338601706111824, 'VBFH': 4.336964321513699}, 'c8': {'All': 10.062930881723945, 'ZH': 7.593572074697602, 'bbH': 11.82714165184321, 'ggZH': 4.482253833336027, 'tWH': 4.635724774159071, 'WH': 6.529654138607421, 'ttH': 5.312502111485502, 'tHjb': 5.351036739238662, 'ggH': 10.482038325594814, 'VBFH': 7.174909458793169}, 'c3': {'All': 8.059338372352382, 'ZH': 6.022630585030895, 'bbH': 8.965255631760213, 'ggZH': 3.7808534267439984, 'tWH': 3.637395201654286, 'WH': 5.100839462119225, 'ttH': 4.376789631189746, 'tHjb': 4.282856421556171, 'ggH': 8.395228385338397, 'VBFH': 5.839526600767495}, 'c2': {'All': 0.7934298126981623, 'ZH': 2.1129895568614607, 'bbH': 0.19869833505179213, 'ggZH': 4.935140754141422, 'tWH': 6.821079105811127, 'WH': 1.686923511732094, 'ttH': 3.9195537899846706, 'tHjb': 2.8423571068754048, 'ggH': 0.5861362089345462, 'VBFH': 2.3223989387646}, 'c1': {'All': 4.7044018889833215, 'ZH': 3.1930637796153327, 'bbH': 5.884532617317317, 'ggZH': 2.0473925725371314, 'tWH': 2.6920024699659124, 'WH': 2.7134660752789985, 'ttH': 2.9205420251305783, 'tHjb': 2.2774089377716313, 'ggH': 4.911298506629075, 'VBFH': 3.310452921036813}, 'c10': {'All': 4.945745149233083, 'ZH': 5.415240549765251, 'bbH': 5.060027144238794, 'ggZH': 4.92564537552759, 'tWH': 4.186044940497383, 'WH': 4.669263381749738, 'ttH': 4.172375908916822, 'tHjb': 5.035369655074701, 'ggH': 4.954404301926949, 'VBFH': 4.933661795744975}, 'c7': {'All': 0.5875805571099976, 'ZH': 1.538002486591821, 'bbH': 0.3341274765623364, 'ggZH': 3.4646127492744205, 'tWH': 4.781096330400471, 'WH': 1.260033232653166, 'ttH': 2.9631972929853636, 'tHjb': 2.0113036941112887, 'ggH': 0.4326620409998958, 'VBFH': 1.7181758832071607}, 'c6': {'All': 3.439192613109828, 'ZH': 2.360771719889872, 'bbH': 4.349747074502452, 'ggZH': 1.7526915569677952, 'tWH': 1.8834101499748326, 'WH': 1.9370427870385298, 'ttH': 2.1606531555808868, 'tHjb': 1.6217007553349378, 'ggH': 3.588509482332806, 'VBFH': 2.4404966294253763}, 'c5': {'All': 2.8124852884055507, 'ZH': 3.0414814661869047, 'bbH': 2.954702786343331, 'ggZH': 2.6470551673849134, 'tWH': 2.3469422812919816, 'WH': 2.5645220992060573, 'ttH': 2.5076729903113604, 'tHjb': 2.8013173060775043, 'ggH': 2.8193573769568334, 'VBFH': 2.8001288779115625}, 'c4': {'All': 1.2243636490387078, 'ZH': 3.4438913480395557, 'bbH': 0.4852386144120624, 'ggZH': 6.044106093477491, 'tWH': 5.621384803209498, 'WH': 2.856305167480517, 'ttH': 4.736434544605643, 'tHjb': 4.203970840190071, 'ggH': 0.9184042948972755, 'VBFH': 3.50567430620726}}\n",
"\n",
"eff=pandas.DataFrame.from_dict(eff)\n",
"eff_sorted = eff.reindex_axis(sorted_productions_mode).reindex_axis(sorted_categories, axis=1)\n",
"print eff_sorted\n",
"fig = plot2d_mod(eff_sorted)\n",
"fig.get_axes()[0].set_title('selection efficiency')\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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HH/wrqugAACBmKHcxcPRXjtFJPXtJks67YKTWrHpNkjRk2HBJ0uBhF2r96lVl4793+VWa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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7fd13d0fad10>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"purities=[[0.8747631580231855, 0.9113182557373857, 0.6448640863535925, 0.9093085610866877, 0.6547893901700693, 0.8750603887822935, 0.9108267011823871, 0.642775822493024, 0.9092837051077839, 0.6545188371246407, 0.8744558050603032], [0.06841736325038837, 0.047842873370208774, 0.19900434741313838, 0.04926205281903849, 0.19466837026618916, 0.06768961057894135, 0.04824540621025241, 0.1988082748199052, 0.04847593447898059, 0.19498652489754345, 0.06782220354510861], [0.021292820882240257, 0.014209402342115861, 0.05237725179422942, 0.015591866090105544, 0.05747116615300892, 0.022463220358651805, 0.013875177435783969, 0.05282875961830603, 0.015985326809604343, 0.059441402833849875, 0.023258005528075342], [0.013806667532879378, 0.009157223594515049, 0.035929359617452576, 0.010082018177854141, 0.03794894049114889, 0.014590008866837693, 0.009261005361027282, 0.03531427233302139, 0.010180808549675785, 0.03846138391004118, 0.014772250388700737], [0.009217196010165612, 0.0056571260609960166, 0.045015795198250795, 0.004948722428373315, 0.0352515262658277, 0.008124889348849374, 0.005724866572752646, 0.04595470302181461, 0.004810735042595058, 0.03320419089409831, 0.0076875598108353095], [0.008524869201222154, 0.01005615875973848, 0.00201330826105919, 0.008943095112611519, 0.00318617399897318, 0.00844594219288833, 0.010167918762072486, 0.004571611709647265, 0.009448869935687089, 0.0020487200134011925, 0.008225185006947846], [0.002416972529105759, 0.0009560164370577745, 0.013663428242692394, 0.0010305263543465906, 0.010844019839885739, 0.002067480321924161, 0.00111948337085567, 0.012952569583350504, 0.0009784544418817503, 0.011456512665077405, 0.0021877619221196847], [0.0003140463725124446, 0.00015617588718009248, 0.002346321470446632, 0.0001231782537141934, 0.001253071439749989, 0.00022774827330208705, 0.00014946219314390243, 0.0022207671298836522, 0.0001257291841300888, 0.0013145072507096966, 0.00023100165754383063], [0.0012469061983003014, 0.0006467678108022076, 0.004786101649138077, 0.0007099796772684692, 0.00458734137514709, 0.0013307112763116205, 0.000629978911724824, 0.004573219291047241, 0.0007104364496611282, 0.004567920410638282, 0.0013602270803653297]]\n",
"CatLabels = [ \"Inclusive\",\"c1\",\"c2\",\"c3\",\"c4\",\"c5\",\"c6\",\"c7\",\"c8\",\"c9\",\"c10\"]\n",
"purities = pandas.DataFrame(purities, index=[\"ggH\",\"VBFH\",\"WH\",\"ZH\",\"ttH\",\"bbH\",\"ggZH\",\"tHjb\",\"tWH\"], columns=CatLabels) \n",
"fig, ax = plt.subplots(figsize=(10, 8))\n",
"purities = purities.reindex_axis((\"ggH\",\"VBFH\",\"WH\",\"ZH\",\"ttH\",\"bbH\",\"ggZH\",\"tHjb\",\"tWH\"), axis=0)\n",
"purities.T.plot.barh(stacked=True, ax=ax, width=0.9)\n",
"ax.set_xlim(0, 1)\n",
"plt.show(fig)\n",
"plt.close(fig)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.11"
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},
"nbformat": 4,
"nbformat_minor": 2
}
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