301 lines
58 KiB
Plaintext
301 lines
58 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"using Plots\n",
|
|
"x = [\"x1\", \"x2\"]\n",
|
|
"y = [0.2, 0.7]\n",
|
|
"bar(x, y)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"using Plots; using Compose\n",
|
|
"p1 = plot(rand(10))\n",
|
|
"p2 = scatter(rand(100))\n",
|
|
"compose(context(),\n",
|
|
" (context(0.6,0,0.4,0.4), Gadfly.render(p2.o[2])),\n",
|
|
" (context(0,0,1,1), Gadfly.render(p1.o[2])))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 2,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"using Plots\n",
|
|
"import Contour\n",
|
|
"default(size=(500,300))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"typeof(cs) = Array{Contour.ContourLevel,1}"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"n = 100\n",
|
|
"x = sort(randn(n)); y = sort(randn(n))\n",
|
|
"cs = Contour.contours(x, y, x * y', 5)\n",
|
|
"@show typeof(cs) length(cs)\n",
|
|
"#xys = [Contour.coordinates(c.lines) for c in cs]\n",
|
|
"for clevel in cs\n",
|
|
" @show length(clevel.lines)\n",
|
|
" #for (x,y) in Contour.coordinates(clevel.lines[1])\n",
|
|
" # @show x y\n",
|
|
" #end\n",
|
|
"end"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"x, y = Contour.coordinates(cs[2].lines[2])\n",
|
|
"@show x y\n",
|
|
"plot(x,y)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"Pkg.add(\"GeometricalPredicates\")\n",
|
|
"Pkg.clone(\"https://github.com/JuliaGeometry/VoronoiDelaunay.jl\")\n",
|
|
"Pkg.add(\"Contour\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 1,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"INFO: Recompiling stale cache file /home/tom/.julia/lib/v0.4/Plots.ji for module Plots.\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[Plots.jl] Default backend: immerse\n",
|
|
"[Plots.jl] Switched to backend: gadfly\n",
|
|
"[Plots.jl] Initializing backend: gadfly"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"INFO: Recompiling stale cache file /home/tom/.julia/lib/v0.4/Cairo.ji for module Cairo.\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"INFO: Recompiling stale cache file /home/tom/.julia/lib/v0.4/Gadfly.ji for module Gadfly.\n",
|
|
"INFO: Recompiling stale cache file /home/tom/.julia/lib/v0.4/Compose.ji for module Compose.\n",
|
|
"WARNING: Base.Nothing is deprecated, use Void instead.\n",
|
|
"WARNING: eval from module Compose to Gadfly: \n",
|
|
"Expr(:import, :Patchwork)::Any\n",
|
|
" ** incremental compilation may be broken for this module **\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": "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",
|
|
"text/plain": [
|
|
"Plot{Plots.GadflyPackage() n=1}"
|
|
]
|
|
},
|
|
"execution_count": 1,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"using Plots; gadfly()\n",
|
|
"default(size=(500,300))\n",
|
|
"n = 100\n",
|
|
"srand(123)\n",
|
|
"x = randn(n)*3\n",
|
|
"y = randn(n)*3\n",
|
|
"z = Float64[sin(x[i]) + cos(y[i]) for i in 1:n]\n",
|
|
"scatter(x,y,z=z,c=:heat)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"using VoronoiDelaunay\n",
|
|
"tess = DelaunayTessellation(n)\n",
|
|
"tmin, tmax = min_coord, max_coord\n",
|
|
"twidth = tmax - tmin\n",
|
|
"function squash(a)\n",
|
|
" amin, amax = extrema(a)\n",
|
|
" v = similar(a)\n",
|
|
" for i in eachindex(a)\n",
|
|
" v[i] = tmin + twidth * (a[i] - amin) / (amax - amin)\n",
|
|
" end\n",
|
|
" v\n",
|
|
"end\n",
|
|
"function zippoints(x, y)\n",
|
|
" x, y = squash(x), squash(y)\n",
|
|
" Point2D[Point(x[i], y[i]) for i in eachindex(x)]\n",
|
|
"end\n",
|
|
"function zippoints(x, y, z)\n",
|
|
" x, y, z = squash(x), squash(y), squash(z)\n",
|
|
" Point3D[Point(x[i], y[i], z[i]) for i in eachindex(x)]\n",
|
|
"end"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"a = zippoints(x, y)\n",
|
|
"push!(tess, a)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"VoronoiDelaunay."
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"for tri in tess\n",
|
|
" println(tri)\n",
|
|
"end"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"tess"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Julia 0.4.0-rc4",
|
|
"language": "julia",
|
|
"name": "julia-0.4"
|
|
},
|
|
"language_info": {
|
|
"file_extension": ".jl",
|
|
"mimetype": "application/julia",
|
|
"name": "julia",
|
|
"version": "0.4.0"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 0
|
|
}
|