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anaderi/gist:5766173

Created June 12, 2013 15:13
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gistfile1.txt
{
"metadata": {
"name": "Untitled0"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": "import pandas",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": false,
"input": "import util",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 13
},
{
"cell_type": "code",
"collapsed": false,
"input": "util.mogo_connection()",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 14,
"text": "Connection('localhost', 27017)"
}
],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": "util.set_of_tracks()",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 15,
"text": "{None,\n 1,\n u'0test',\n u'2mesh_features-1',\n u'3_opts',\n u'3_reweight',\n u'None',\n u'bdt13',\n u'bdt13_pca',\n u'binary_facrors',\n u'pca1',\n u'pipi_options'}"
}
],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": "l = list(util.Formula.find({\"analysis\":\"bsmumu\"}))",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 18
},
{
"cell_type": "code",
"collapsed": false,
"input": "len(l)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 19,
"text": "467"
}
],
"prompt_number": 19
},
{
"cell_type": "code",
"collapsed": false,
"input": "l[0]",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 20,
"text": "FORMULA (517db25abadd84374b5218c4)\nFOM : 36.143005092\n_id : 517db25abadd84374b5218c4\nanalysis : bsmumu\ncorr : {u'corr_bg_abs_mass': -0.0011597901546226638, u'corr_bg': -0.1912023049340575, u'corr_signal_abs_mass': 0.014105375934108001, u'corr_signal_mass': -0.012702035149387399, u'corr_bg_abs': -0.03730395491344927}\ncount_lines : None\ncreate_at : 2013-06-12 18:44:10.431060\ndir : /mnt/w76/notebook/f16_Weight_binB__B_n3_p1_medium.dir\nfeatures : B_s0_TAU_1000,sqrt_min_IPCHI2,isolation_sum_D1_D2,B_s0_PT,B_s0_CDFiso,min_muPT,B_s0_cosnk,B_s0_doca,B_s0_IP_OWNPV,B_s0_otherB_ang,abs_delta_phi,abs_delta_eta,B_s0_phi,B_s0_OWNPV_NDOF,B_s0_DIRA_OWNPV,B_s0_FD_OWNPV\nhost : w78.cern.yandex.net\noptions : -i 5000 -w 0.02 -x 64 -E -D 0\npredict : is_signal\ntest : /mnt/w76/data/bsmumu5_a.t\ntrack : 3_reweight\ntrain : /mnt/w76/notebook/bsmumu5_b.t.weight\nweight : Weight_binB__B_n3_p1"
}
],
"prompt_number": 20
},
{
"cell_type": "code",
"collapsed": false,
"input": "util.formula2table(l, [\"FOM\", \"dir\"], count=10)",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "Showing 10 of 467\n"
},
{
"html": "<table border=\"1\" cellpadding=\"3\" cellspacing=\"0\" style=\"border:1px solid black;border-collapse:collapse;\"><tr><td style=\"background-color:LightGray;\"><b>FOM</b></td><td style=\"background-color:LightGray;\"><b>dir</b></td></tr><tr><td style=\"background-color:Ivory;\">36.1430</td><td style=\"background-color:Ivory;\">/mnt/w76/notebook/f16_Weight_binB__B_n3_p1_medium.dir</td></tr><tr><td style=\"background-color:AliceBlue;\">40.4409</td><td style=\"background-color:AliceBlue;\">/mnt/w76/notebook/f16_Weight_binS__S_n3_p1_medium.dir</td></tr><tr><td style=\"background-color:Ivory;\">41.7615</td><td style=\"background-color:Ivory;\">/mnt/w76/notebook/f16_Weight_binT__T_n3_p1_medium.dir</td></tr><tr><td style=\"background-color:AliceBlue;\">36.4802</td><td style=\"background-color:AliceBlue;\">/mnt/w76/notebook/f16_Weight_binB__S_S_n3_p1_medium.dir</td></tr><tr><td style=\"background-color:Ivory;\">27.2398</td><td style=\"background-color:Ivory;\">/mnt/w76/notebook/f16_Weight_binB__T_T_n3_p1_medium.dir</td></tr><tr><td style=\"background-color:AliceBlue;\">41.1464</td><td style=\"background-color:AliceBlue;\">/mnt/w76/notebook/f16_Weight_binB__B_n10_p1_medium.dir</td></tr><tr><td style=\"background-color:Ivory;\">41.6093</td><td style=\"background-color:Ivory;\">/mnt/w76/notebook/f16_Weight_binS__S_n10_p1_medium.dir</td></tr><tr><td style=\"background-color:AliceBlue;\">41.7568</td><td style=\"background-color:AliceBlue;\">/mnt/w76/notebook/f16_Weight_binT__T_n10_p1_medium.dir</td></tr><tr><td style=\"background-color:Ivory;\">41.8000</td><td style=\"background-color:Ivory;\">/mnt/w76/notebook/f16_Weight_binB__S_S_n10_p1_medium.dir</td></tr><tr><td style=\"background-color:AliceBlue;\">41.0312</td><td style=\"background-color:AliceBlue;\">/mnt/w76/notebook/f16_Weight_binB__T_T_n10_p1_medium.dir</td></tr></table>",
"metadata": {},
"output_type": "pyout",
"prompt_number": 21,
"text": "<ipy_table.IpyTable at 0x1144ca1d0>"
}
],
"prompt_number": 21
},
{
"cell_type": "code",
"collapsed": false,
"input": "array = [f.FOM for f in l]",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": "len(array)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 23,
"text": "467"
}
],
"prompt_number": 23
},
{
"cell_type": "code",
"collapsed": false,
"input": "hist(array, bins=100)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 25,
"text": "(array([ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1,\n 1, 2, 1, 0, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 2, 0, 1,\n 3, 2, 2, 4, 1, 3, 1, 3, 1, 0, 2, 3, 3, 5, 3, 2, 3,\n 1, 0, 4, 4, 1, 5, 3, 1, 2, 4, 5, 5, 4, 6, 2, 2, 3,\n 6, 2, 4, 4, 7, 4, 11, 4, 11, 12, 5, 15, 6, 14, 26, 12, 65,\n 18, 10, 13, 23, 9, 5, 0, 0, 0, 11, 60, 0, 0, 1, 1]),\n array([ 18.74621728, 19.01819801, 19.29017875, 19.56215948,\n 19.83414022, 20.10612095, 20.37810168, 20.65008242,\n 20.92206315, 21.19404388, 21.46602462, 21.73800535,\n 22.00998609, 22.28196682, 22.55394755, 22.82592829,\n 23.09790902, 23.36988976, 23.64187049, 23.91385122,\n 24.18583196, 24.45781269, 24.72979343, 25.00177416,\n 25.27375489, 25.54573563, 25.81771636, 26.0896971 ,\n 26.36167783, 26.63365856, 26.9056393 , 27.17762003,\n 27.44960077, 27.7215815 , 27.99356223, 28.26554297,\n 28.5375237 , 28.80950444, 29.08148517, 29.3534659 ,\n 29.62544664, 29.89742737, 30.1694081 , 30.44138884,\n 30.71336957, 30.98535031, 31.25733104, 31.52931177,\n 31.80129251, 32.07327324, 32.34525398, 32.61723471,\n 32.88921544, 33.16119618, 33.43317691, 33.70515765,\n 33.97713838, 34.24911911, 34.52109985, 34.79308058,\n 35.06506132, 35.33704205, 35.60902278, 35.88100352,\n 36.15298425, 36.42496499, 36.69694572, 36.96892645,\n 37.24090719, 37.51288792, 37.78486866, 38.05684939,\n 38.32883012, 38.60081086, 38.87279159, 39.14477232,\n 39.41675306, 39.68873379, 39.96071453, 40.23269526,\n 40.50467599, 40.77665673, 41.04863746, 41.3206182 ,\n 41.59259893, 41.86457966, 42.1365604 , 42.40854113,\n 42.68052187, 42.9525026 , 43.22448333, 43.49646407,\n 43.7684448 , 44.04042554, 44.31240627, 44.584387 ,\n 44.85636774, 45.12834847, 45.40032921, 45.67230994, 45.94429067]),\n <a list of 100 Patch objects>)"
},
{
"metadata": {},
"output_type": "display_data",
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"text": "<matplotlib.figure.Figure at 0x1142fdf50>"
}
],
"prompt_number": 25
},
{
"cell_type": "code",
"collapsed": false,
"input": "f = util.Formula.find_one({\"analysis\":\"bsmumu\", \"track\":\"bdt13_pca\"})",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 26
},
{
"cell_type": "code",
"collapsed": false,
"input": "f",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 27,
"text": "FORMULA (518badbdbadd842c84f191e2)\nFOM : 39.5212346138\n_id : 518badbdbadd842c84f191e2\nanalysis : bsmumu\ncreate_at : 2013-06-12 18:47:26.833806\ndir : /mnt/w76/notebook/bsmumu/bdt13_pca/f26_i1500.000000_w0.300000_x32.000000\nfeatures : [u'B_s0_TAU_1000', u'sqrt_min_IPCHI2', u'isolation_sum_D1_D2', u'B_s0_PT', u'B_s0_CDFiso', u'min_muPT', u'B_s0_cosnk', u'B_s0_doca', u'B_s0_IP_OWNPV', u'abs_delta_eta', u'abs_delta_phi', u'B_s0_otherB_ang', u'B_s0_otherB_boo_ang', u'B_s0_TAU_1000_pca', u'sqrt_min_IPCHI2_pca', u'isolation_sum_D1_D2_pca', u'B_s0_PT_pca', u'B_s0_CDFiso_pca', u'min_muPT_pca', u'B_s0_cosnk_pca', u'B_s0_doca_pca', u'B_s0_IP_OWNPV_pca', u'abs_delta_eta_pca', u'abs_delta_phi_pca', u'B_s0_otherB_ang_pca', u'B_s0_otherB_boo_ang_pca']\nfeatures_csv : B_s0_TAU_1000,sqrt_min_IPCHI2,isolation_sum_D1_D2,B_s0_PT,B_s0_CDFiso,min_muPT,B_s0_cosnk,B_s0_doca,B_s0_IP_OWNPV,abs_delta_eta,abs_delta_phi,B_s0_otherB_ang,B_s0_otherB_boo_ang,B_s0_TAU_1000_pca,sqrt_min_IPCHI2_pca,isolation_sum_D1_D2_pca,B_s0_PT_pca,B_s0_CDFiso_pca,min_muPT_pca,B_s0_cosnk_pca,B_s0_doca_pca,B_s0_IP_OWNPV_pca,abs_delta_eta_pca,abs_delta_phi_pca,B_s0_otherB_ang_pca,B_s0_otherB_boo_ang_pca\nmatrixnet_bin : /mnt/w76/notebook/bsmumu/bdt13_pca/f26_i1500.000000_w0.300000_x32.000000/data/matrixnet.bin\nmatrixnet_inc : /mnt/w76/notebook/bsmumu/bdt13_pca/f26_i1500.000000_w0.300000_x32.000000/data/matrixnet.inc\noptions : -i 1500.000000 -w 0.300000 -x 32.000000\ntest : /mnt/w76/data/bsmumu5_b.t.pca_bdt13\ntest_MN : /mnt/w76/notebook/bsmumu/bdt13_pca/f26_i1500.000000_w0.300000_x32.000000/data/test.MN\ntest_mass : None\ntrack : bdt13_pca\ntrain : /mnt/w76/data/bsmumu5_a.t.pca_bdt13\ntrain_MN : /mnt/w76/notebook/bsmumu/bdt13_pca/f26_i1500.000000_w0.300000_x32.000000/data/train.MN\nweight : None"
}
],
"prompt_number": 27
},
{
"cell_type": "code",
"collapsed": false,
"input": "f.plot_corr()",
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "'NoneType' object is not iterable",
"output_type": "pyerr",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-28-ba71dcd0665f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot_corr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/Users/anaderi/notebook/util.py\u001b[0m in \u001b[0;36mplot_corr\u001b[0;34m(self, T_flat, bins)\u001b[0m\n\u001b[1;32m 476\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mplot_corr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mT_flat\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbins\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 477\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mT_flat\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 478\u001b[0;31m \u001b[0mT_flat\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpandas_load_csvs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest_MN_mass\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 479\u001b[0m \u001b[0;32massert\u001b[0m \u001b[0mMASS_COL\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mT_flat\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtypes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 480\u001b[0m \u001b[0mmn_flat\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mflatten_classifier2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mT_flat\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMN\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mT_flat\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_signal\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/Users/anaderi/notebook/util.py\u001b[0m in \u001b[0;36mpandas_load_csvs\u001b[0;34m(fnames)\u001b[0m\n\u001b[1;32m 1062\u001b[0m \u001b[0mfh_map\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1063\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpandas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1064\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mf\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfnames\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1065\u001b[0m \u001b[0mfh\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1066\u001b[0m \u001b[0mnames\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfh\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreadline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"# \"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstrip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'\\t'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mTypeError\u001b[0m: 'NoneType' object is not iterable"
]
}
],
"prompt_number": 28
},
{
"cell_type": "code",
"collapsed": false,
"input": "",
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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