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JavierCVilla/testSpark.ipynb

Last active August 6, 2018 10:16
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Distill + Distribution Spark Example
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testSpark.ipynb
{"cells": [{"cell_type": "code", "execution_count": 1, "metadata": {"trusted": true}, "outputs": [{"name": "stdout", "output_type": "stream", "text": "Welcome to JupyROOT 6.15/01\n"}], "source": "import ROOT\nfrom ROOT import TCanvas\nfrom DistROOT import DistTree"}, {"cell_type": "code", "execution_count": 73, "metadata": {"collapsed": true, "trusted": true}, "outputs": [], "source": "def runAnalysis(rdf):\n\n # Branches clasified by diagonal\n diagonals = {\n # return a tuple: ([left] verticals in 45, [right] verticals in 56))\n \"d45b_56t\" : ([\"track_rp_5\", \"track_rp_21\", \"track_rp_25\"],\n [\"track_rp_104\", \"track_rp_120\", \"track_rp_124\"]),\n \"ad45b_56b\" : ([\"track_rp_5\", \"track_rp_21\", \"track_rp_25\"],\n [\"track_rp_105\", \"track_rp_121\", \"track_rp_125\"]),\n \"d45t_56b\" : ([\"track_rp_4\", \"track_rp_20\", \"track_rp_24\"],\n [\"track_rp_105\", \"track_rp_121\", \"track_rp_125\"]),\n \"ad45t_56t\" : ([\"track_rp_4\", \"track_rp_20\", \"track_rp_24\"],\n [\"track_rp_104\", \"track_rp_120\", \"track_rp_124\"])\n }\n\n selected_diagonal = \"d45b_56t\"\n\n rp_left, rp_right = diagonals[selected_diagonal]\n \n # Columns per branch\n attributes = ['valid', 'x', 'y']\n\n full_branches = [\"{}.{}\".format(c,a) for a in attributes for c in rp_left+rp_right ]\n\n # Split left and right branch on valid, x and y\n valids = [ \"(unsigned int) {}\".format(v) for v in full_branches[0:6]]\n xs = full_branches[6:12]\n ys = full_branches[12:18]\n\n # Filter and define output branches\n filter_code = \"\"\"({0}.valid + {1}.valid + {2}.valid ) >= 2 &&\n ({3}.valid + {4}.valid + {5}.valid ) >= 2\n \"\"\".format(*(rp_left+rp_right))\n\n # Input tree\n treename= \"TotemNtuple\"\n #rdf = RDF(treename, vec_input_files)\n\n # Filter and define output branches\n r = rdf.Filter(filter_code) \\\n .Define(\"v_L_1_F\", valids[0]) \\\n .Define(\"v_L_2_N\", valids[1]) \\\n .Define(\"v_L_2_F\", valids[2]) \\\n .Define(\"v_R_1_F\", valids[3]) \\\n .Define(\"v_R_2_N\", valids[4]) \\\n .Define(\"v_R_2_F\", valids[5]) \\\n .Define(\"x_L_1_F\", xs[0]) \\\n .Define(\"x_L_2_N\", xs[1]) \\\n .Define(\"x_L_2_F\", xs[2]) \\\n .Define(\"x_R_1_F\", xs[3]) \\\n .Define(\"x_R_2_N\", xs[4]) \\\n .Define(\"x_R_2_F\", xs[5]) \\\n .Define(\"y_L_1_F\", ys[0]) \\\n .Define(\"y_L_2_N\", ys[1]) \\\n .Define(\"y_L_2_F\", ys[2]) \\\n .Define(\"y_R_1_F\", ys[3]) \\\n .Define(\"y_R_2_N\", ys[4]) \\\n .Define(\"y_R_2_F\", ys[5]) \\\n .Define(\"timestamp\", \"(unsigned int) (event_info.timestamp - 1444860000)\") \\\n .Define(\"run_num\", \"(unsigned int) event_info.run_no\") \\\n .Define(\"bunch_num\", \"trigger_data.bunch_num\") \\\n .Define(\"event_num\", \"trigger_data.event_num\") \\\n .Define(\"trigger_num\", \"trigger_data.trigger_num\") \\\n .Define(\"trigger_bits\", \"trigger_data.input_status_bits\")\n\n timestamp_min = 20.9E3\n timestamp_max = 31.5E3\n timestamp_bins = timestamp_max - timestamp_min + 1.; \n model = (\"h_timestamp_dgn\", \";timestamp;rate (Hz)\", int(timestamp_bins), timestamp_min-0.5, timestamp_max+0.5)\n h_timestamp_dgn = r.Histo1D(model, \"timestamp\")\n\n # Save output tree\n return h_timestamp_dgn"}, {"cell_type": "code", "execution_count": 77, "metadata": {"collapsed": true, "trusted": true}, "outputs": [], "source": "\ndef fillHist(tdf):\n hist = runAnalysis(tdf)\n return hist"}, {"cell_type": "code", "execution_count": 78, "metadata": {"collapsed": true, "trusted": true}, "outputs": [], "source": "def mergeHist(h1, h2):\n h1.Add(h2)\n return h1"}, {"cell_type": "code", "execution_count": 79, "metadata": {"trusted": true}, "outputs": [], "source": "dTree = DistTree(filelist = ['root://eostotem//eos/totem/data/cmstotem/2015/90m/Totem/Ntuple/version2/4495/TotemNTuple_9883.040.ntuple.root',],\n treename = \"TotemNtuple\",\n npartitions = 2)\n\nmyHist = dTree.ProcessAndMerge(fillHist, mergeHist)"}, {"cell_type": "markdown", "metadata": {}, "source": "Plot the resulting histogram. Note how we activate the JavaScript graphics of ROOT with the `jsroot` magic."}, {"cell_type": "code", "execution_count": 80, "metadata": {"trusted": true}, "outputs": [{"data": {"text/html": "\n<div id=\"root_plot_7\"\n style=\"width: 696px; height: 472px\">\n</div>\n\n<script>\n requirejs.config({\n paths: {\n 'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n }\n });\n require(['JSRootCore'],\n function(Core) {\n var obj = Core.JSONR_unref({\"_typename\":\"TCanvas\",\"fUniqueID\":0,\"fBits\":53673992,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fLeftMargin\":0.1,\"fRightMargin\":0.1,\"fBottomMargin\":0.1,\"fTopMargin\":0.1,\"fXfile\":2,\"fYfile\":2,\"fAfile\":1,\"fXstat\":0.99,\"fYstat\":0.99,\"fAstat\":2,\"fFrameFillColor\":0,\"fFrameLineColor\":1,\"fFrameFillStyle\":1001,\"fFrameLineStyle\":1,\"fFrameLineWidth\":1,\"fFrameBorderSize\":1,\"fFrameBorderMode\":0,\"fX1\":19574.3749012705,\"fY1\":-31.6312523567119,\"fX2\":32825.6250987295,\"fY2\":284.681252356712,\"fXtoAbsPixelk\":-1028.11161707098,\"fXtoPixelk\":-1028.11161707098,\"fXtoPixel\":0.0525233460714115,\"fYtoAbsPixelk\":424.800047186661,\"fYtoPixelk\":424.800047186661,\"fYtoPixel\":-1.49219519610085,\"fUtoAbsPixelk\":5e-5,\"fUtoPixelk\":5e-5,\"fUtoPixel\":696,\"fVtoAbsPixelk\":472.00005,\"fVtoPixelk\":472,\"fVtoPixel\":-472,\"fAbsPixeltoXk\":19574.3749012705,\"fPixeltoXk\":19574.3749012705,\"fPixeltoX\":19.0391525825561,\"fAbsPixeltoYk\":284.681252356712,\"fPixeltoYk\":-31.6312523567119,\"fPixeltoY\":-0.670153611680983,\"fXlowNDC\":0,\"fYlowNDC\":0,\"fXUpNDC\":0,\"fYUpNDC\":0,\"fWNDC\":1,\"fHNDC\":1,\"fAbsXlowNDC\":0,\"fAbsYlowNDC\":0,\"fAbsWNDC\":1,\"fAbsHNDC\":1,\"fUxmin\":20899.5,\"fUymin\":0,\"fUxmax\":31500.5,\"fUymax\":253.05,\"fTheta\":30,\"fPhi\":30,\"fAspectRatio\":0,\"fNumber\":0,\"fTickx\":0,\"fTicky\":0,\"fLogx\":0,\"fLogy\":0,\"fLogz\":0,\"fPadPaint\":0,\"fCrosshair\":0,\"fCrosshairPos\":0,\"fBorderSize\":2,\"fBorderMode\":0,\"fModified\":false,\"fGridx\":false,\"fGridy\":false,\"fAbsCoord\":false,\"fEditable\":true,\"fFixedAspectRatio\":false,\"fPrimitives\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TFrame\",\"fUniqueID\":0,\"fBits\":50331656,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fX1\":20899.5,\"fY1\":0,\"fX2\":31500.5,\"fY2\":253.05,\"fBorderSize\":1,\"fBorderMode\":0},{\"_typename\":\"TH1D\",\"fUniqueID\":0,\"fBits\":50331656,\"fName\":\"h_timestamp_dgn\",\"fTitle\":\"\",\"fLineColor\":602,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fMarkerColor\":1,\"fMarkerStyle\":1,\"fMarkerSize\":1,\"fNcells\":10603,\"fXaxis\":{\"_typename\":\"TAxis\",\"fUniqueID\":0,\"fBits\":50331656,\"fName\":\"xaxis\",\"fTitle\":\"track_rp_3_x\",\"fNdivisions\":510,\"fAxisColor\":1,\"fLabelColor\":1,\"fLabelFont\":42,\"fLabelOffset\":0.005,\"fLabelSize\":0.035,\"fTickLength\":0.03,\"fTitleOffset\":1,\"fTitleSize\":0.035,\"fTitleColor\":1,\"fTitleFont\":42,\"fNbins\":10601,\"fXmin\":20899.5,\"fXmax\":31500.5,\"fXbins\":[],\"fFirst\":0,\"fLast\":0,\"fBits2\":0,\"fTimeDisplay\":false,\"fTimeFormat\":\"\",\"fLabels\":null,\"fModLabs\":null},\"fYaxis\":{\"_typename\":\"TAxis\",\"fUniqueID\":0,\"fBits\":50331656,\"fName\":\"yaxis\",\"fTitle\":\"track_rp_3_y\",\"fNdivisions\":510,\"fAxisColor\":1,\"fLabelColor\":1,\"fLabelFont\":42,\"fLabelOffset\":0.005,\"fLabelSize\":0.035,\"fTickLength\":0.03,\"fTitleOffset\":0,\"fTitleSize\":0.035,\"fTitleColor\":1,\"fTitleFont\":42,\"fNbins\":1,\"fXmin\":0,\"fXmax\":1,\"fXbins\":[],\"fFirst\":0,\"fLast\":0,\"fBits2\":0,\"fTimeDisplay\":false,\"fTimeFormat\":\"\",\"fLabels\":null,\"fModLabs\":null},\"fZaxis\":{\"_typename\":\"TAxis\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"zaxis\",\"fTitle\":\"\",\"fNdivisions\":510,\"fAxisColor\":1,\"fLabelColor\":1,\"fLabelFont\":42,\"fLabelOffset\":0.005,\"fLabelSize\":0.035,\"fTickLength\":0.03,\"fTitleOffset\":1,\"fTitleSize\":0.035,\"fTitleColor\":1,\"fTitleFont\":42,\"fNbins\":1,\"fXmin\":0,\"fXmax\":1,\"fXbins\":[],\"fFirst\":0,\"fLast\":0,\"fBits2\":0,\"fTimeDisplay\":false,\"fTimeFormat\":\"\",\"fLabels\":null,\"fModLabs\":null},\"fBarOffset\":0,\"fBarWidth\":1000,\"fEntries\":318083,\"fTsumw\":184024,\"fTsumw2\":184024,\"fTsumwx\":5713056605,\"fTsumwx2\":177375400905809,\"fMaximum\":-1111,\"fMinimum\":-1111,\"fNormFactor\":0,\"fContour\":[],\"fSumw2\":[],\"fOption\":\"\",\"fFunctions\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TPaveStats\",\"fUniqueID\":0,\"fBits\":50331657,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fX1\":29910.3502685443,\"fY1\":213.510940681561,\"fX2\":32560.6003475279,\"fY2\":264.120940304487,\"fX1NDC\":0.780000016093254,\"fY1NDC\":0.775000005960464,\"fX2NDC\":0.980000019073486,\"fY2NDC\":0.935000002384186,\"fBorderSize\":1,\"fInit\":1,\"fShadowColor\":1,\"fCornerRadius\":0,\"fOption\":\"brNDC\",\"fName\":\"stats\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":12,\"fTextColor\":1,\"fTextFont\":42,\"fLabel\":\"\",\"fLongest\":18,\"fMargin\":0.05,\"fLines\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"h_timestamp_dgn\",\"fTextAngle\":0,\"fTextSize\":0.0368,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.0368000008165836},{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"Entries 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