{
"cells": [
{
"cell_type": "markdown",
"id": "435077b1",
"metadata": {},
"source": [
"# gr108_timeSeriesFromCSV\n",
"This macro illustrates the use of the time axis on a TGraph\n",
"with data read from a text file containing the SWAN usage\n",
"statistics during July 2017.\n",
"\n",
"\n",
"\n",
"**Author:** Danilo Piparo, Olivier Couet \n",
"This notebook tutorial was automatically generated with ROOTBOOK-izer from the macro found in the ROOT repository on Tuesday, May 19, 2026 at 08:38 PM."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "197460de",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:38:22.017555Z",
"iopub.status.busy": "2026-05-19T20:38:22.017439Z",
"iopub.status.idle": "2026-05-19T20:38:22.994005Z",
"shell.execute_reply": "2026-05-19T20:38:22.993448Z"
}
},
"outputs": [],
"source": [
"import ROOT"
]
},
{
"cell_type": "markdown",
"id": "5e050a8d",
"metadata": {},
"source": [
"Open the data file. This csv contains the usage statistics of a CERN IT\n",
"service, SWAN, during two weeks. We would like to plot this data with\n",
"ROOT to draw some conclusions from it."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "d67a5918",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:38:22.995774Z",
"iopub.status.busy": "2026-05-19T20:38:22.995640Z",
"iopub.status.idle": "2026-05-19T20:38:23.111276Z",
"shell.execute_reply": "2026-05-19T20:38:23.110642Z"
}
},
"outputs": [],
"source": [
"dirName = str(ROOT.gROOT.GetTutorialDir())\n",
"dirName += \"/visualisation/graphs/\"\n",
"dirName= dirName.replace(\"/./\", \"/\")\n",
"inputFileName = \"%s/SWAN2017.dat\" %dirName"
]
},
{
"cell_type": "markdown",
"id": "c87be9af",
"metadata": {},
"source": [
"Create the time graph. In this example, we don't specify anything about it,\n",
"and data points will be added with SetPoint (the first point has index 0)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "0f3bee86",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:38:23.112722Z",
"iopub.status.busy": "2026-05-19T20:38:23.112585Z",
"iopub.status.idle": "2026-05-19T20:38:23.230427Z",
"shell.execute_reply": "2026-05-19T20:38:23.229796Z"
}
},
"outputs": [],
"source": [
"g = ROOT.TGraph()\n",
"g.SetTitle(\"SWAN Users during July 2017;Time;Number of Sessions\")"
]
},
{
"cell_type": "markdown",
"id": "29457c7c",
"metadata": {},
"source": [
"Read the data and fill the graph with time along the X axis and number\n",
"of users along the Y axis"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "5830a897",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:38:23.231924Z",
"iopub.status.busy": "2026-05-19T20:38:23.231790Z",
"iopub.status.idle": "2026-05-19T20:38:23.348589Z",
"shell.execute_reply": "2026-05-19T20:38:23.347892Z"
}
},
"outputs": [],
"source": [
"lines = open(inputFileName, \"r\").readlines()\n",
"\n",
"for i, line in enumerate(lines):\n",
" d, h, value = line.split()\n",
" g.SetPoint(i, ROOT.TDatime(\"%s %s\" %(d,h)).Convert(), float(value))"
]
},
{
"cell_type": "markdown",
"id": "79333327",
"metadata": {},
"source": [
"Draw the graph"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "5817e582",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:38:23.350081Z",
"iopub.status.busy": "2026-05-19T20:38:23.349957Z",
"iopub.status.idle": "2026-05-19T20:38:23.535984Z",
"shell.execute_reply": "2026-05-19T20:38:23.535202Z"
}
},
"outputs": [],
"source": [
"c = ROOT.TCanvas(\"c\", \"c\", 950, 500)\n",
"c.SetLeftMargin(0.07)\n",
"c.SetRightMargin(0.04)\n",
"c.SetGrid()\n",
"g.SetLineWidth(3)\n",
"g.SetLineColor(ROOT.kBlue)\n",
"g.Draw(\"al\")\n",
"g.GetYaxis().CenterTitle()"
]
},
{
"cell_type": "markdown",
"id": "04e8fb2d",
"metadata": {},
"source": [
"Make the X axis labelled with time"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "0981489a",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:38:23.537587Z",
"iopub.status.busy": "2026-05-19T20:38:23.537462Z",
"iopub.status.idle": "2026-05-19T20:38:23.659991Z",
"shell.execute_reply": "2026-05-19T20:38:23.658834Z"
}
},
"outputs": [],
"source": [
"xaxis = g.GetXaxis()\n",
"xaxis.SetTimeDisplay(1)\n",
"xaxis.CenterTitle()\n",
"xaxis.SetTimeFormat(\"%a %d\")\n",
"xaxis.SetTimeOffset(0)\n",
"xaxis.SetNdivisions(-219)\n",
"xaxis.SetLimits(ROOT.TDatime(2017, 7, 3, 0, 0, 0).Convert(), ROOT.TDatime(2017, 7, 22, 0, 0, 0).Convert())\n",
"xaxis.SetLabelSize(0.025)\n",
"xaxis.CenterLabels()"
]
},
{
"cell_type": "markdown",
"id": "0e382cbd",
"metadata": {},
"source": [
"Draw all canvases "
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "e29ec2dd",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:38:23.661672Z",
"iopub.status.busy": "2026-05-19T20:38:23.661529Z",
"iopub.status.idle": "2026-05-19T20:38:23.853356Z",
"shell.execute_reply": "2026-05-19T20:38:23.852383Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
"
\n",
"\n",
"\n",
"\n"
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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%jsroot on\n",
"from ROOT import gROOT \n",
"gROOT.GetListOfCanvases().Draw()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
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"file_extension": ".py",
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