Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Vue.js + D3.jsでグラフを描く
Search
Tatsuya Miyado
May 23, 2018
Technology
1
2.3k
Vue.js + D3.jsでグラフを描く
Vue.js Tokyo v-meetup #7 LTスライド
Tatsuya Miyado
May 23, 2018
Tweet
Share
Other Decks in Technology
See All in Technology
JEDAI認定プログラム JEDAI Order 2026 受賞者一覧 / JEDAI Order 2026 Winners
databricksjapan
0
340
20260320_JaSST26_Tokyo_登壇資料.pdf
mura_shin
0
120
ADK + Gemini Enterprise で 外部 API 連携エージェント作るなら OAuth の仕組みを理解しておこう
kaz1437
0
200
Phase09_自動化_仕組み化
overflowinc
0
1.8k
AI時代のIssue駆動開発のススメ
moongift
PRO
0
250
RGBに陥らないために -プロダクトの価値を届けるまで-
righttouch
PRO
0
110
Datadog で実現するセキュリティ対策 ~オブザーバビリティとセキュリティを 一緒にやると何がいいのか~
a2ush
0
140
Physical AI on AWS リファレンスアーキテクチャ / Physical AI on AWS Reference Architecture
aws_shota
1
130
スピンアウト講座03_CLAUDE-MDとSKILL-MD
overflowinc
0
1.3k
モジュラモノリス導入から4年間の総括:アーキテクチャと組織の相互作用について / Architecture and Organizational Interaction
nazonohito51
7
3.6k
A4)シラバスを超えて語る、テストマネジメント
moritamasami
0
130
スピンアウト講座05_実践活用事例
overflowinc
0
1.2k
Featured
See All Featured
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
35
2.4k
Six Lessons from altMBA
skipperchong
29
4.2k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
249
1.3M
What’s in a name? Adding method to the madness
productmarketing
PRO
24
4k
Art, The Web, and Tiny UX
lynnandtonic
304
21k
Between Models and Reality
mayunak
2
240
HU Berlin: Industrial-Strength Natural Language Processing with spaCy and Prodigy
inesmontani
PRO
0
280
How to make the Groovebox
asonas
2
2k
Scaling GitHub
holman
464
140k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
17k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
254
22k
How To Speak Unicorn (iThemes Webinar)
marktimemedia
1
410
Transcript
7VFKT %KTͰ άϥϑΛඳ͘ 7VFKT5PLZPWNFFUVQ !IPHFTVLF@
!IPHFTVLF@
7VFKTͰάϥϑΛ ඳ͖͍ͨ
%KTΛ͍͍ͨ
7VFKT %KTͬͯ Ͱ͖Δͷʁ
ͬͯΈ·ͨ͠
%&.0 IUUQHSBQIIPHFTVLFOFU
·ͣ7VFΛΘͣʹॻ͍ͯΈΔ const dataset = [ 10, 20, 5, 3, 8,
40, 20, 35]; const w = 200, h = 100, margin = 5; const svg = d3.select(‘.graph').append('svg') .attr('width', w + margin).attr('height', h + margin); const xScale = d3.scaleLinear().domain([0, dataset.length]).range([margin, w - margin]); const yScale = d3.scaleLinear().domain([d3.min(dataset), d3.max(dataset)]).range([h - margin, margin]); const xAxis = d3.axisBottom(xScale); svg.append('g') .attr('transform', `translate(0, ${h})`) .call(xAxis); const yAxis = d3.axisLeft(yScale); svg.append('g') .attr('transform', `translate(${margin}, 0)`) .call(yAxis); const d3line = d3.line() .x((d, i) => xScale(i)) .y(d => yScale(d)) .curve(d3.curveLinear); svg.append('path') .attr(‘d', d3line(dataset)) .style('stroke-width', 2) .style('stroke', 'steelblue') .style('fill', 'none');
͜ΕΛ7VF ίϯϙʔωϯτʹམͱ͠ࠐΉ
const dataset = [ 10, 20, 5, 3, 8, 40,
20, 35]; const w = 200, h = 100, margin = 5; const svg = d3.select(‘.graph').append('svg') .attr('width', w + margin).attr('height', h + margin); const xScale = d3.scaleLinear().domain([0, dataset.length]).range([margin, w - margin]); const yScale = d3.scaleLinear().domain([d3.min(dataset), d3.max(dataset)]).range([h - margin, margin]); const xAxis = d3.axisBottom(xScale); svg.append('g') .attr('transform', `translate(0, ${h})`) .call(xAxis); const yAxis = d3.axisLeft(yScale); svg.append('g') .attr('transform', `translate(${margin}, 0)`) .call(yAxis); const d3line = d3.line() .x((d, i) => xScale(i)) .y(d => yScale(d)) .curve(d3.curveLinear); svg.append('path') .attr(‘d', d3line(dataset)) .style('stroke-width', 2) .style('stroke', 'steelblue') .style('fill', 'none'); 9:࣠ͷඳը QBUIͷඳը 47(ཁૉͷੜ ೖྗσʔλΛඳըྖҬʹ Ϛοϐϯά͢Δؔͷੜ ݩͷίʔυ
:࣠ 9࣠ ύε ίϯϙʔωϯτׂ άϥϑશମ
<template> <path :d="d" /> </template> 5FNQMBUF 1BUI computed: { line
() { return d3.line() .x(d => this.xScale(d.x)) .y(d => this.yScale(d.y)) .curve(d3.curveLinear); }, d () { return this.line(this.data); }, }, 4DSJQU 47(ͷཁૉΛ ςϯϓϨʔτʹॻ͘ ύεͷ࠲ඪͱͳΔ EଐੑͷΛੜ
<template> <path :d="d" /> </template> 5FNQMBUF 1BUI computed: { line
() { return d3.line() .x(d => this.xScale(d.x)) .y(d => this.yScale(d.y)) .curve(d3.curveLinear); }, d () { return this.line(this.data); }, }, 4DSJQU ͱΛͲͷΑ͏ͳۂઢͰ ิؒ͢Δ͔ͷࢦఆ
computed: { xAxis () { return d3.axisBottom(this.xScale) .tickSizeInner(10) // ઢͷ͞ʢଆʣ
.tickSizeOuter(15) // ઢͷ͞ʢ֎ଆʣ .tickPadding(10) // ઢͱςΩετͷؒͷڑ .ticks(4); // ઢͷ }, }, mounted () { d3.select(this.$el).call(this.xAxis); }, 9:࣠ <template> <g :transform="`translate(${position.x}, ${position.y})`" /> </template> 5FNQMBUF 4DSJQU ࣠ΓΛ Hཁૉʹ ඳը͢Δ
computed: { xAxis () { return d3.axisBottom(this.xScale) .tickSizeInner(10) // ઢͷ͞ʢଆʣ
.tickSizeOuter(15) // ઢͷ͞ʢ֎ଆʣ .tickPadding(10) // ઢͱςΩετͷؒͷڑ .ticks(4); // ઢͷ }, }, mounted () { d3.select(this.$el).call(this.xAxis); }, ͜͜ 9:࣠ <template> <g :transform="`translate(${position.x}, ${position.y})`" /> </template> 5FNQMBUF 4DSJQU ࣠ͷΓʹ ؔ͢ΔઃఆΛߦ͏
Ξχϝʔγϣϯ w $44USBOTJUJPOͰQBUIΛΞχϝʔγϣϯͰ͖Δʁ w $ISPNFҎ֎Ͱ Ͱ͖ͳ͍ w ผͷखஈ͕ඞཁ
Ξχϝʔγϣϯ w 5XFFO-JUFKTΛ͏ w ͋ΔΛࢦఆͷඵͰɺࢦఆͷ·ͰঃʑʹมԽͤ͞Δ ػೳΛ࣋ͭ const hoge = {
a: 0 }; TweenLite.to(hoge, 3, { a: 100 }); AIPHFBAͷΛඵ͔͚ͯ·ͰมԽͤ͞Δ
Ξχϝʔγϣϯ w 5XFFO-JUFKTΛQBUIͷEଐੑʹ༻͍Δ͜ͱͰΞχϝʔγϣ ϯՄೳ <path d=“M55,120.20408163265304L66.22448979591837,245.71428571428572L77.44897959183673"></path> <path d="M55,239.59183673469386L66.22448979591837,22.244897959183675L77.44897959183673"></path> ࢀߟঢ়ଶͷτϥϯδγϣϯ7VFKTIUUQTKQWVFKTPSHWHVJEFUSBOTJUJPOJOHTUBUFIUNM
άϥϑͷඳը͕Ͱ͖ͨ
%&.0ͷίʔυ IUUQTHJUIVCDPNIPHFTVLFWVFEEFNP հͰ͖·ͤΜͰ͕ͨ͠ɺ πʔϧνοϓͷ࣮͍ͬͯ·͢
Ҏ্Ͱ͢ ͋Γ͕ͱ͏͍͟͝·ͨ͠