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
Swift Charts: Vectorized and function plots
Search
yamakentoc
June 28, 2024
Programming
2.2k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Swift Charts: Vectorized and function plots
yamakentoc
June 28, 2024
More Decks by yamakentoc
See All by yamakentoc
WWDC25:デザインセッションまとめ
yamakentoc
1
140
Swift × Android : How Skip is Shaping the Future of Cross-Platform Development
yamakentoc
0
590
Skip:Native Swift on Androidを理解する
yamakentoc
0
210
マルチプラットフォーム系はSkipで良さそうな話.pdf
yamakentoc
2
590
Pathのあまり知られてない部分を知る
yamakentoc
1
110
WWDC創設期から現在まで
yamakentoc
0
110
Xcodeの意外と知られてない機能
yamakentoc
1
190
既存アプリをVisionOSでビルドするコツ.pdf
yamakentoc
1
580
ARKitのすヽめ
yamakentoc
0
520
Other Decks in Programming
See All in Programming
AI時代に設計が 最大の生産性レバーになる 意図駆動開発とデータを消さない設計|Don't Delete Your Data or Your Intent — Design as the Deepest Lever in the AI Era
tomohisa
1
730
Android CLI
fornewid
0
210
Google Apps Script で Ruby を動かす
kawahara
0
140
言語を使う側から、作る側へ。 自作 Lisp で得た新たな気づき。
andpad
0
160
ドリフトを絶対に許さない(?)CDK運用 / CDK Ops with Zero Tolerance for Drifts (?)
akihisaikeda
1
180
VibeCodingからAgenticWorkflowへ
starfish719
0
330
関東Kaggler会_NVIDIA_Nemotron_コンペ_振り返り
rick_ds
0
490
琵琶湖の水は止められてもNet--HTTPのリトライは止められない / You might be able to stop the water flow of Lake Biwa but you can't stop Net::HTTP retries
luccafort
PRO
0
620
Cloudflare is Agents
chimame
0
150
継続モナドとリアクティブプログラミング
yukikurage
3
690
Augmenting AI with the Power of Jakarta EE
ivargrimstad
0
540
数百円から始めるRuby電子工作
tarosay
0
140
Featured
See All Featured
Leveraging Curiosity to Care for An Aging Population
cassininazir
1
460
Max Prin - Stacking Signals: How International SEO Comes Together (And Falls Apart)
techseoconnect
PRO
0
360
Discover your Explorer Soul
emna__ayadi
2
1.2k
Navigating Algorithm Shifts & AI Overviews - #SMXNext
aleyda
1
1.5k
Darren the Foodie - Storyboard
khoart
PRO
3
3.6k
Dominate Local Search Results - an insider guide to GBP, reviews, and Local SEO
greggifford
PRO
0
260
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
Leo the Paperboy
mayatellez
8
2.1k
Utilizing Notion as your number one productivity tool
mfonobong
4
520
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
460
Agile Leadership in an Agile Organization
kimpetersen
PRO
0
200
The Hidden Cost of Media on the Web [PixelPalooza 2025]
tammyeverts
2
450
Transcript
ࢁޱݡొʢZBNBLFOʣ 4XJGU$IBSUT 7FDUPSJ[FEBOEGVODUJPOQMPUT
ࣗݾհ ໊લɿࢁޱݡొʢZBNBLFOʣ ॴଐɿ ͍ͬͯΔ͜ͱɿ 5XJUUFSɿ!ZBNBLFOUPD
͢༰ w 4XJGU$IBSUTͷΞοϓσʔτʹ͍ͭͯ w Ξοϓσʔτ༰͚ͩฉ͍ͯΑ͘Θ͔Βͳ͍ͱࢥ͏ͷͰɺ ͦͷલʹ4XJGU$IBSUTͷ͓͞Β͍ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
4XJGU$IBSUTͷ͓͞Β͍ w 88%$Ͱൃද͞ΕͨάϥϑඳըͷGSBNFXPSL w l.BSLzΛ֤ͬͯάϥϑΛඳըͰ͖Δ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNEFTJHOIVNBOJOUFSGBDFHVJEFMJOFTDIBSUT IUUQTEFWFMPQFSBQQMFDPNKQWJEFPTQMBZXXED
4XJGU$IBSUTͷ͓͞Β͍ w άϥϑΛඳը͍ͨ͠߹#BS.BSLΛ༻ w ͍ίʔυ͚ͩͰ؆୯ʹάϥϑΛඳըͰ͖Δ import SwiftUI import Charts struct
BarChartView: View { let dataList = [ (month: "Jan", value: 20), (month: "Feb", value: 60), (month: "Mar", value: 45) ] var body: some View { Chart(dataList, id: \.month) { BarMark( x: .value("Month", $0.month), y: .value("Value", $0.value) ) } } }
w ԁάϥϑ͕ඳըͰ͖ΔΑ͏ʹͳͬͨΓ 88%$Ͱʜ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNKQWJEFPTQMBZXXED
w ΑΓ؆୯ʹΠϯλϥΫςΟϒͳػೳ͕ՃͰ͖ΔΑ͏ʹͳͬͨΓ 88%$Ͱʜ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNKQWJEFPTQMBZXXED
w εΫϩʔϧՄೳʹͳͬͨΓ͠·ͨ͠ 88%$Ͱʜ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNKQWJEFPTQMBZXXED
88%$Ͱʜ w ͦͷଞʹ༷ʑͳΞοϓσʔτ͕ೖΓ·͕ͨ͠ɺ ৄࡉʮ4XJGU$IBSUT·ͱΊʯͱ͍͏ͷهࣄΛಡΜͰΈ͍ͯͩ͘͞ɻ Ҿ༻ݩɿIUUQTRJJUBDPNZBNBLFOUPDJUFNTBECDBG ͍͍Ͷ͍ͩ͘͞
88%$Ͱͷ4XJGU$IBSUTͷΞοϓσʔτ w ؔΛͬͯάϥϑΛඳըͰ͖ΔΑ͏ʹͳͬͨ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
88%$Ͱͷ4XJGU$IBSUTͷΞοϓσʔτ w ؔΛͬͯάϥϑΛඳըͰ͖ΔΑ͏ʹͳͬͨ w େنͳσʔλΛΑΓޮతʹॲཧͰ͖ΔΑ͏ʹͳͬͨ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
88%$Ͱͷ4XJGU$IBSUTͷΞοϓσʔτ w ؔΛͬͯάϥϑΛඳըͰ͖ΔΑ͏ʹͳͬͨ w େنͳσʔλΛΑΓޮతʹॲཧͰ͖ΔΑ͏ʹͳͬͨ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
ؔΛͬͯάϥϑΛඳըͰ͖ΔΑ͏ʹͳͬͨ w ࠓ·Ͱz.BSLzΛͬͯάϥϑΛඳը͍ͯͨ͠ʢ-JOF.BSL "SFB.BSL ʜʣ w ৽͘͠z1MPUzͱ͍͏ͷ͕ੜʢ-JOF1MPU "SFB1MPU ʜʣ w
1MPUΛ͏͜ͱͰؔΛͬͯάϥϑΛඳըՄೳʹ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
w ͭͷؔΛάϥϑʹඳըͰ͖Δ -JOF1MPU Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
w ྫ͑ʮ ʯΛඳը͍ͨ͠߹ y = x2 -JOF1MPU Chart { LinePlot(x:
"x", y: "y") { x in x * x // y=x^2 } } .chartXScale(domain: -5...5) // X࣠ͷൣғ .chartYScale(domain: -5...5) // Y࣠ͷൣғ ˞Πϝʔδ Ҿ༻ݩɿIUUQTXXXHFPHFCSBPSHHSBQIJOH MBOHKB
w ؔͷྖҬΛຒΊΔ͜ͱ͕Ͱ͖Δ "SFB1MPU Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
"SFB1MPU w ͭͷؔͷؒͷྖҬΛຒΊΔ͜ͱͰ͖Δ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
"SFB1MPU w ͱ ͷྖҬΛຒΊΔ߹ y = x + 1 y
= x2 Chart { AreaPlot(x: "x", yStart: "x + 1", yEnd: "x^2") { x in (yStart: x + 1, yEnd: x * x) } } .chartXScale(domain: -5...5) // X࣠ͷൣғ .chartYScale(domain: -5...5) // Y࣠ͷൣғ Ҿ༻ݩɿIUUQTXXXHFPHFCSBPSHHSBQIJOH MBOHKB ˞Πϝʔδ
άϥϑͷදࣔൣғΛઃఆ͢Δ w දࣔൣғΛઃఆ͢Δ߹DIBSU94DBMF EPNBJO Λ༻ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
άϥϑͷग़ྗൣғΛઃఆ͢Δ w ҾEPNBJOͰYͷൣғΛࢦఆ͢Δ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
,FZOPUFͰɺखॻ͖ͷܭࢉ͔ࣜΒάϥϑΛඳը͢Δγʔϯ͕͋ͬͨ $IBSUTͰؔΛάϥϑԽ͢ΔػೳΛ͍ͬͯΔ͜ͱ͕Θ͔Δ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
ύϥϝτϦοΫؔѻ͏͜ͱ͕Ͱ͖Δ w ύϥϝτϦοΫؔʢ1BSBNFUSJDGVODUJPOʣͱʜ w ಛఆͷύϥϝʔλʢྫ͑࣌ؒʣΛͬͯɺෳͷมʢҐஔͳͲʣΛಉ ࣌ʹදؔ͢ w ྫ͑ʮܘSͷԁʯҎԼͷΑ͏ʹදͤΔ x(t) =
r cos(t) y(t) = r sin(t)
ܘͷԁΛඳը͢Δ߹ w ܘͷԁΛදؔ͢ x(t) = 2 cos(t) y(t) = 2
sin(t) Chart { LinePlot(x: "x", y: "y", t: "t", domain: -.pi ... .pi) { t in let x = 2 * cos(t) let y = 2 * sin(t) return (x, y) } } .chartXScale(domain: -5...5) .chartYScale(domain: -5...5) ˞Πϝʔδ Ҿ༻ݩɿIUUQTXXXHFPHFCSBPSHHSBQIJOH MBOHKB
ϋʔτΛඳը͢Δ߹ x(t) = 2 sin3(t) y(t) = cos(t)(2 − cos(t)
− cos2(t)) Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
۠ؔѻ͏͜ͱ͕Ͱ͖Δ w ۠ؔʢ1JFDFXJTFGVODUJPOʣͱʜ w ۠͝ͱʹҟͳΔؔΛద༻͢Δؔ f(x) = { x2 JG
x > 0 −x2 JG x ≤ 0 Chart { LinePlot(x: "x", y: "y") { x in if x > 0 { x * x // y=x^2 } else { -x * x // y=-x^2 } } } .chartXScale(domain: -5...5) .chartYScale(domain: -5...5) Ҿ༻ݩɿIUUQTXXXHFPHFCSBPSHHSBQIJOH MBOHKB ˞Πϝʔδ
۠ؔͰग़ྗ͕ͳ͍߹ w ۠ʹΑͬͯ6OEF fi OFEͷ͜ͱ͋Δ w OBOΛࢦఆ͢Δ͜ͱͰग़ྗ͕ͳ͍͜ͱΛ௨ f(x) =
{ x2 JG x > 0 6OEF fi OFE JG x ≤ 0 Chart { LinePlot(x: "x", y: "y") { x in if x > 0 { x * x // y=x^2 } else { .nan // ग़ྗ͕ͳ͍͜ͱΛ௨ } } } .chartXScale(domain: -5...5) .chartYScale(domain: -5...5) ˞Πϝʔδ Ҿ༻ݩɿIUUQTXXXHFPHFCSBPSHHSBQIJOH MBOHKB
w ྫ͑ҎԼͷؔͷ߹ɺYʹͳΔͱʮ ʯͱͳΓɺΤϥʔʹͳΔͷͰආ͚ Δඞཁ͕͋Δɻ͜ͷ߹OBOΛࢦఆ͢Δ͜ͱͰճආ͢Δ͜ͱ͕Ͱ͖Δ 1 0 ۠ؔͰग़ྗ͕ͳ͍߹ y = {
6OEF fi OFE JG x = 0 1 x JG x ≠ 0 Chart { LinePlot(x: "x", y: "y") { x in if x != 0 { 1 / x } else { .nan // ग़ྗ͕ͳ͍͜ͱΛ௨ } } } .chartXScale(domain: -5...5) .chartYScale(domain: -5...5) ˞Πϝʔδ Ҿ༻ݩɿIUUQTXXXHFPHFCSBPSHHSBQIJOH MBOHKB
88%$Ͱͷ4XJGU$IBSUTͷΞοϓσʔτ w ؔΛͬͯάϥϑΛඳըͰ͖ΔΑ͏ʹͳͬͨ w େنͳσʔλΛΑΓޮతʹॲཧͰ͖ΔΑ͏ʹͳͬͨ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
େنͳσʔλΛΑΓޮతʹॲཧͰ͖ΔΑ͏ʹͳͬͨ w 1MPU-JOF1MPU "SFB1MPUҎ֎ʹɺશͯͷ.BSLʹରͯ͠1MPU͕Ճ͞Εͨ w ͜ΕΒͷ1MPUΛ͏͜ͱͰɺίϨΫγϣϯશମΛฒྻʹѻ͏͜ͱ͕Ͱ͖ɺ େنͳσʔλޮతʹॲཧͰ͖ΔΑ͏ʹͳͬͨ w ͓ͦΒ͘.BSLͩͱσʔλྻͰѻΘΕ͍ͯͨ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
#BS.BSLͷఆٛํ๏ let dataList = [ (month: "Jan", value: 20), (month:
"Feb", value: 60), (month: "Mar", value: 45) ] … Chart(dataList, id: \.month) { BarMark( x: .value("Month", $0.month), y: .value("Value", $0.value) ) } w %BUBΛ$IBSUʹ͠ɺWBMVFͷΑ͏ʹΛࢦఆ͍ͯͨ͠
#BS1MPUͷఆٛํ๏ w %BUBΛ#BS1MPUͷҾʹ͠ɺ,FZ1BUIͰΛࢦఆՄೳʹͳͬͨ let dataList = [ (month: "Jan", value:
20), (month: "Feb", value: 60), (month: "Mar", value: 45) ] … Chart(dataList, id: \.month) { BarMark( x: .value("Month", $0.month), y: .value("Value", $0.value) ) } let dataList = [ (month: "Jan", value: 20), (month: "Feb", value: 60), (month: "Mar", value: 45) ] … Chart { BarPlot( dataList, x: .value("Month", \.month), y: .value("Value", \.value) ) }
ηογϣϯͰ͜Μͳදݱ w ӈਤΞϝϦΧͷιʔϥʔύωϧͷઃஔҐஔΛࣔͨ͠ͷ w ઃஔҐஔΛҢܦ͔Β1PJOU1MPUͰඳը w ਤࣗମ-JOF1MPUͰඳը w 4XJGU$IBSUT͕͋ΕԿͰඳ͚Δʜ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNEPDVNFOUBUJPODIBSUTDSFBUJOHBEBUBWJTVBMJ[BUJPOEBTICPBSEXJUITXJGUDIBSUT
1MPUͱ.BSLͷͲͪΒΛ͏͖͔ʁ w େنͳσʔληοτ͔ͭɺάϥϑશମ ͷݟ͕ͨγϯϓϧͳΧελϚΠζͷ ߹ʹ1MPUΛ͏͖ w σʔλগͳ͍͕ɺσʔλϙΠϯτ͝ͱ ʹݟͨͷΧελϚΠζΛ͢Δ߹ɺ [*OEFYΛͬͯෳࡶͳ֊Խ͕ඞཁͳ ߹.BSLΛ͏
1MPU .BSL Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED
1MPUͷύϑΥʔϚϯεΛ্͛Δํ๏ w ༻͢ΔελΠϧ͝ͱʹσʔλͷίϨΫγϣϯΛάϧʔϓԽ͢Δ͜ͱͰɺ 4XJGU$IBSUT͕ελΠϧͷมߋճΛݮΒ͢͜ͱ͕Ͱ͖Δ w 1MPUͰDPNQVUFEϓϩύςΟͷར༻Λආ͚ɺ4UPSFEϓϩύςΟʹ͢Δ͜ͱ ͰϨϯμϦϯάॲཧΛܰݮͰ͖Δ w άϥϑͷදࣔ͢Δൣғ EPNBJO
Λ༧Ίࢦఆ͢Δ͜ͱͰΑΓޮతʹඳը͞Ε Δ w Ұ෦ͷελΠϧͷΧελϚΠζɺେྔͷσʔλϙΠϯτͰཱͨͳ͘ͳΔ ͷ͕ҰൠతͳͷͰɺελΠϧͷΧελϚΠζΛ͠ͳ͍ํ͕ɺάϥϑͷύϑΥʔ ϚϯεΛ্ͤ͞Δ͜ͱ͕Ͱ͖Δ
αϯϓϧ͋Δ Ҿ༻ݩɿIUUQTEFWFMPQFSBQQMFDPNEPDVNFOUBUJPODIBSUTDSFBUJOHBEBUBWJTVBMJ[BUJPOEBTICPBSEXJUITXJGUDIBSUT
·ͱΊ w ؔΛͬͯάϥϑΛඳըͰ͖ΔΑ͏ʹͳͬͨ w -JOF1MPUɿͭͷؔΛඳըͰ͖Δ w "SFB1MPUɿͭͷؔͷؒΛຒΊΔ͜ͱ͕Ͱ͖Δ w ύϥϝτϦοΫؔ۠ؔ༻Ͱ͖Δ w
େنͳσʔλΛΑΓޮతʹॲཧͰ͖ΔΑ͏ʹͳͬͨ w 1MPUΛ͏͜ͱͰฒྻʹσʔλΛॲཧͰ͖Δ w 1MPUͰ,FZ1BUIͰΛࢦఆͰ͖Δ w 1MPUͷύϑΥʔϚϯεΛ্͛Δํ๏͕͋Δ
ࢀߟࢿྉ w IUUQTEFWFMPQFSBQQMFDPNWJEFPTQMBZXXED w IUUQTEFWFMPQFSBQQMFDPNEPDVNFOUBUJPODIBSUTDSFBUJOHBEBUB WJTVBMJ[BUJPOEBTICPBSEXJUITXJGUDIBSUT w IUUQTRJJUBDPNZBNBLFOUPDJUFNTBECDBG