投球を可視化する技術〜Analyzing Pitching Data With Python

MLBの一球速報データを使った投球データの可視化をPython他でやってみました.

BPStudy #103 2016/3/22 発表資料

Transcript

2. Who am I? • Shinichi Nakagawa(@shinyorke) • Pythonista/Agile Software Development/Baseball Analyst • visasQ(ϏβεΫ) Python Engineer/Scrum Master • ๺ւಓ೔ຊϋϜϑΝΠλʔζ/Oakland Athletics • ιχʔɾάϨΠ(OAK)ͷαΠϠϯά৆ड৆
 &Ԭ޿ւ(೔ϋϜ)ͷελϝϯୣऔΛ৴͍ͯ͡·͢.
3. ࠓγʔζϯݟͲ͜Ζ ݟͲ͜Ζ ੈؒͷ෩ை த઒ͷݟղ ༏উνʔϜ ɾιϑτόϯΫ
   ɾϠΫϧτ ɾ೔ϋϜ
   ɾڊਓPS޿ౡ τϦϓϧεϦʔ ɾ༄ా༔ذ ೥࿈ଓ
   ɾࢁా఩ਓ ೥࿈ଓ ࢁా఩ਓ ೥࿈ଓ
   Ϊʔλ͸ࡾףͲ͏ͧ ΰʔϧσϯάϥϒ৆ ɾ༄ా༔ذ $'
   ɾௗ୩ܟ 44 ɾೋਓڞ຅ऩ
   ɾγϣʔτ͸୭͕ʁ ۙ౻݈հ ೔ϋϜ ɾׂຊ͍͚ΔͰʂ
   ɾࢦ໊ଧऀPSϥΠτ ۙ౻ ࢦcӈcัcࡾc༡
   ˠॅॴෆఆʹͳΔ
4. Starting Member • ໺ٿHack!2015೥ৼΓฦΓ • MLBҰٿ଎ใσʔλͱ໺ٿHack • MLBҰٿ଎ใσʔλΛPythonͰHackͯ͠ΈΔ
 ʙpitchpxͱJupyter + pandas + matplotlibʙ • ར༻ྫʙؠ۾ٱࢤϊʔώοτϊʔϥϯ • ݁ͼʙࠓޙͷ໺ٿHack(PyCon JP 2016ʹ޲͚ͯ) • ʲΦϚέʳ2016೥ϓϩ໺ٿେ༧૝
5. ໺ٿHack!1.0(PyCon JP 2015) • MLBͷࢼ߹͝ͱͷଧ੮σʔλΛHack! • ࢄาʢ࢛ٿʣͷ਺ʢΠονVSϘοτʣ • ϐονϟʔͷ݄ผউͪ੕ʢδϣϯɾϨελʔʣ • ຖ೔ຖࢼ߹ͷσʔλΛऔಘ&෼ੳ • ΞμϜɾμϯ཰ʢଧऀʣ • ඃΞμϜɾμϯ཰ʢ౤खʣ • ৄ͘͠͸εϥΠυΛޚཡ͍ͩ͘͞ or ʮ໺ٿ PythonʯͰάάΖ͏
6. ໺ٿHack!ʙPythonΛ༻͍ͨσʔλ෼ੳͱՄࢹԽ PyCon JP 2015ൃදࢿྉ http://www.slideshare.net/shinyorke/hackpython-pyconjp
7. ໺ٿHack!ʙPythonΛ༻͍ͨσʔλ෼ੳͱՄࢹԽ PyCon JP 2015ൃදࢿྉ http://www.slideshare.net/shinyorke/hackpython-pyconjp ೥ͷωλ
8. ໺ٿHack!ʙPythonΛ༻͍ͨσʔλ෼ੳͱՄࢹԽ PyCon JP 2015ൃදࢿྉ http://www.slideshare.net/shinyorke/hackpython-pyconjp Ұٿ଎ใ΍Γ͍ͨϯΰ
   ˠ೥ͷςʔϚʂ
9. ໺ٿHack!ͱҰٿ଎ใ • ࢼ߹ɾଧ੮ͷ݁Ռetc…είΞͰଌΕΔωλ͸΍Γ੾ͬͨײ͋Δ • બखͷނোɾෆௐʢ޷ௐʣ͸είΞͰଌΕͳ͍ˠ΍Γ͍ͨ • ౤खͳΒٿ଎ɾίϯτϩʔϧɾϘʔϧͷճస਺ɺ
 ໺ख͸कඋൣғ(଍)ɾεΠϯάεϐʔυͰଌΕΔͷͰ͸ʂʁ • Ұٿ଎ใͷσʔλ͕͋ΕͰ͖ͦ͏…͋ͬͨʂʂʂ • ࢼ͠ʹ΍ͬͯΈΑ͏ʂʂʂˡࠓίί
10. MLB at BATʙMLBҰٿ଎ใ • MLB࣮گҰٿ଎ใαʔϏε • PCαΠτɾεϚϗΞϓϦɾApple TVͳͲ • MLB.TVͱ߹Θͤͯܖ໿Ͱ࣮گಈը΋ݟΒΕΔ • σʔλ͕ͱʹ͔͘ॆ࣮
11. Analyzing Baseball Data with R • MLBͷΦʔϓϯσʔλʮRetrosheetʯ,
 MLB at BAT଎ใσʔλΛ༻͍ͨσʔλ෼ੳɾՄࢹ Խʹ͍ͭͯॻ͔Ε͍ͯΔॻ੶ʢӳޠʣ • RݴޠΛ࢖ͬͨ෼ੳͱՄࢹԽͷωλ͕ϝΠϯ • ʮpitchRxʯͱ͍͏ɺRݴޠͷϥΠϒϥϦΛ༻͍ͯ
 at BATσʔλΛऔಘ&ՄࢹԽ
12. “ʮpitchRxʯͱ͍͏ɺ
 RݴޠͷϥΠϒϥϦΛ༻͍ͯ
 at BATσʔλΛऔಘ&ՄࢹԽ”
13. ʁʁʁʮPythonͰ΍Γ͍ͨΜ͡Όʂʯ ※RΛͲ͏͜͏ݴ͏ͱ͔ͦΜͳҙਤ͸(ry
14. pitchpx - Getting MLB dataset • MLB at BATͷҰٿ଎ใσʔλΛऔಘ&εΫϨΠϐϯάͯ͠ CSVσʔληοτʹམͱ͢PythonϥΠϒϥϦ. • pitchRx(R)ͳͲΛࢀߟʹࢲ͕։ൃ͠·ͨ͠. • ίϚϯυϥΠϯπʔϧͰ͢. • Python 3.3.xҎ্ઐ༻ˡڧ͍ͩ͜ΘΓ • PyPIͰެ։͍ͯ͠·͢ʂʂʂʢ୭Ͱ΋࢖͑Δʣ
15. ࢖͍ํ $ # Python 3.3Ҏ্(ਪ঑Python 3.4Ҏ্)͕ಈ͘؀ڥͰ΍ͬͯͶ $ pip install pitchpx $ # ྫɿ2015/8/1-8/12·Ͱͷࢼ߹݁ՌΛऔಘ͢Δ $ pitchpx -s 20150801 -e 20150812 -o .
16. ʲྫʳؠ۾ϊʔώοτϊʔϥϯ • ϚϦφʔζ-ΦϦΦʔϧζͷࢼ߹(2015/8/12)ʹͯɺ
 ϊʔώοτϊʔϥϯΛܾΊͨؠ۾ٱࢤ౤खͷ౤ٿΛ෼ੳ • ٿ଎ɺϘʔϧͷճసɺετϥΠΫκʔϯɺ܏޲etc… • pitchpxͰऔಘͨ͠σʔλΛpandasͱ matplotlib(&seaborn)Ͱલॲཧ&ՄࢹԽ • ؀ڥ͸Jupyter notebook(Python 3.5.1)
17. σϞ (লུ)
18. ৄ͘͠͸QiitaͰʂʂʂ ؠ۾ٱࢤ(SEA)ͷφΠεϐονϯάΛPythonͰՄࢹԽ http://qiita.com/shinyorke/items/2c2e2c3976fc2d1ed051
19. ݁ͼʙ2016೥ͷ໺ٿHack! • ͦΒʢࠓ೔͸౤ٿσʔλͷՄࢹԽ͔ͩΒʣ
 ͦ͏ʢͭ͗͸कඋσʔλͷՄࢹԽʹʣ
 Αɹʢܾ·͍ͬͯΔ͡Όͳ͍͔ʣ • PyCon JP 2016(9/21,22)͸ɺ
 ʮAnalyzing Baseball Data With Pythonʯ
 ͱ͔ͦΜͳλΠτϧͰ΋ͬͱ໘ന͍࿩͕Ͱ͖Δϋζ. • ຊ೔ެ։ͨ͠ωλ͸ੋඇ༡ΜͰΈͯʂ
 ˠػցֶशͷ୊ࡐͱ͔ʹΠέΔΜ͡Όͳ͍ʁ
20. ʮҰٿ଎ใσʔλͷϥΠηϯε͸ʁେৎ෉ͳͷʁʯ ※Ұ൪͋Γͦ͏ͳ࣭໰
21. ౴ɿ(ݸਓར༻ఔ౓ͳΒ)OK ʲެࣜʳ http://gd2.mlb.com/components/copyright.txt ʲ༁&ղઆʳ http://qiita.com/shinyorke/items/566f1b7e7687492a0c7f
22. ήʔϜηοτʂʂʂ ͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠. Shinichi Nakagawa(Twitter/Facebook/hatena:@shinyorke)