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@scls19fr
Last active December 17, 2021 07:19
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planeur - polaire - parabole - 3pts ou plus (régression polynomiale)
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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"hide_input": false
},
"outputs": [],
"source": [
"using CSV\n",
"using DataFrames\n",
"\n",
"s_dat = \"\"\"v;vz\n",
"110;-0.6\n",
"150;-1.09\n",
"190;-2\"\"\";\n",
"\n",
"dat = CSV.File(IOBuffer(s_dat)) |> DataFrame"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# dat.v = dat.v * 1000 / 3600 # conversion km/h en m/s\n",
"# dat.v = dat.v / 100 # conversion km/h en 1/100ème de km/h"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# import Pkg; Pkg.add(\"Polynomials\")\n",
"using Polynomials"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"p = fit(dat.v, dat.vz, 2, var=:v) # régression polynomiale\n",
"p"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"println(\"A=$(p[2]) B=$(p[1]) C=$(p[0])\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"v_calc = range(60, stop=260, length=100);\n",
"vz_calc = p.(v_calc);"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"using Plots"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"plot(dat.v, dat.vz, seriestype=:scatter, title=\"Polaire\")\n",
"plot!(v_calc, vz_calc)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Julia 1.6.1",
"language": "julia",
"name": "julia-1.6"
},
"language_info": {
"file_extension": ".jl",
"mimetype": "application/julia",
"name": "julia",
"version": "1.6.1"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {},
"version_major": 2,
"version_minor": 0
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
name = "PolarCurve"
license = "MIT"
authors = ["Sébastien Celles <s.celles@gmail.com>"]
version = "0.0.1"
[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Polynomials = "f27b6e38-b328-58d1-80ce-0feddd5e7a45"
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scls19fr commented Feb 20, 2020

Render with NBViewer

MyBinder v2

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