{
"cells": [
{
"cell_type": "markdown",
"id": "c0691a23",
"metadata": {},
"source": [
"# gr006_scatter\n",
"\n",
"TScatter is available since ROOT v.6.30. See the [TScatter documentation](https://root.cern/doc/master/classTScatter.html)\n",
"\n",
"\n",
"\n",
"**Author:** Olivier Couet, Jamie Gooding \n",
"This notebook tutorial was automatically generated with ROOTBOOK-izer from the macro found in the ROOT repository on Tuesday, May 19, 2026 at 08:37 PM."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "517747b8",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:37:49.666397Z",
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"iopub.status.idle": "2026-05-19T20:37:50.863487Z",
"shell.execute_reply": "2026-05-19T20:37:50.863110Z"
}
},
"outputs": [],
"source": [
"import numpy as np\n",
"import ROOT\n",
"\n",
"canvas = ROOT.TCanvas()\n",
"canvas.SetRightMargin(0.14)\n",
"ROOT.gStyle.SetPalette(ROOT.kBird, 0, 0.6) # define a transparent palette\n",
"\n",
"n = 175\n",
"\n",
"x = np.array([])\n",
"y = np.array([])\n",
"c = np.array([])\n",
"s = np.array([])"
]
},
{
"cell_type": "markdown",
"id": "b95004fc",
"metadata": {},
"source": [
"Define four random data sets"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "e6d583c1",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:37:50.877229Z",
"iopub.status.busy": "2026-05-19T20:37:50.877028Z",
"iopub.status.idle": "2026-05-19T20:37:51.029421Z",
"shell.execute_reply": "2026-05-19T20:37:51.028993Z"
}
},
"outputs": [],
"source": [
"r = ROOT.TRandom()\n",
"for i in range(n):\n",
" x = np.append(x, 100 * r.Rndm(i))\n",
" y = np.append(y, 200 * r.Rndm(i))\n",
" c = np.append(c, 300 * r.Rndm(i))\n",
" s = np.append(s, 400 * r.Rndm(i))\n",
"\n",
"scatter = ROOT.TScatter(n, x, y, c, s)\n",
"scatter.SetMarkerStyle(20)\n",
"scatter.SetTitle(\"Scatter plot titleX titleY titleZ title\")\n",
"scatter.GetXaxis().SetRangeUser(20.0, 90.0)\n",
"scatter.GetYaxis().SetRangeUser(55.0, 90.0)\n",
"scatter.GetZaxis().SetRangeUser(10.0, 200.0)"
]
},
{
"cell_type": "markdown",
"id": "ef812dac",
"metadata": {},
"source": [
"an alternative way to zoom the Z-axis:\n",
"scatter->GetHistogram()->SetMinimum(10);\n",
"scatter->GetHistogram()->SetMaximum(200);"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "32c58be4",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:37:51.048241Z",
"iopub.status.busy": "2026-05-19T20:37:51.048060Z",
"iopub.status.idle": "2026-05-19T20:37:51.160444Z",
"shell.execute_reply": "2026-05-19T20:37:51.160079Z"
}
},
"outputs": [],
"source": [
"scatter.Draw(\"A\")"
]
},
{
"cell_type": "markdown",
"id": "d18da4a5",
"metadata": {},
"source": [
"Draw all canvases "
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "c4951536",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:37:51.165385Z",
"iopub.status.busy": "2026-05-19T20:37:51.165237Z",
"iopub.status.idle": "2026-05-19T20:37:51.363545Z",
"shell.execute_reply": "2026-05-19T20:37:51.362398Z"
}
},
"outputs": [
{
"data": {
"text/html": [
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"\n",
"\n"
],
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from ROOT import gROOT \n",
"gROOT.GetListOfCanvases().Draw()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
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