野球を科学する技術-Pythonと統計ライブラリと分析基盤 #pyconjp

PyConJP 2017登壇資料

https://pycon.jp/2017/ja/schedule/presentation/15/

#Python #野球統計学 #セイバーメトリクス #Airflow #Scrapy

Transcript

1. ໺ٿΛՊֶ͢Δٕज़
   ʙPythonΛ༻͍ͨ౷ܭϥΠϒϥϦ࡞੒ͱ෼ੳج൫ߏஙʙ
   Shinichi Nakagawa@shinyorke(໺ٿͷਓ)
   PyConJP 2017 Talk Session 2017/9/8
   

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2. ਖ਼૷ = ໺ٿϢχϑΥʔϜʂ
   ※ࣸਅ෇͖ͰγΣΞ͓ئ͍͠·͢ʂ
   

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3. Who am I ?(͓લ୭Α)
   • ໺ٿͷਓͰ͢(PythonΫϥελతʹ͸)
   • Shinichi Nakagawa(@shinyorke)
   • Retty.Inc Engineer/ڕྉཧ୲౰
   • Baseball Scientist(ݸਓ׆ಈ)
   • Python΋͘΋ࣗ͘शࣨ #rettypy
   • #Python #SABRmetrics #໺ٿ౷ܭֶ #Agile #Scrum
   

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4. Starting member(͓͠ͳ͕͖)
   • Զʑ΍͖͏෼ੳج൫ʮbradfordʯΛPythonͳͲͰ࡞ͬͨ
   • ෼ੳج൫ͷ͘͠Έ(Scrapy, Airflow, ౷ܭϥΠϒϥϦetc…)
   • ໺ٿΛՊֶ͢Δٕज़
   • ໺ٿՊֶͷجૅ஌ࣝ(Liner Weights, ಘ఺ظ଴஋,ಘ఺Ձ஋)
   • ʮ࢛൪ଧऀ͕ফ͑ͨνʔϜʯͷͦͷޙΛ௥͏
   • ·ͱΊ
   

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5. ຊ୊ͷલʹ
   

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6. PyConJPͱ΍͖͏ͷྺ࢙
   • PyConJP 2014ʮPythonͰ͸͡ΊΔ໺ٿϓϩάϥϛϯάʯ

   Infra as a CodeͱWeb Application(Django),ΠϯϓϨʔଧ཰(BABIP)
   • PyConJP 2015ʮ໺ٿHack!ʙPythonΛ༻͍ͨσʔλ෼ੳͱՄࢹԽʯ

   PyDataͱԶʑ෼ੳج൫(Jupyter,matplotlib,Docker),ΞμϜɾμϯ཰
   • PyConJP 2016ʮϏοΫσʔλͱPythonͰ͸͡ΊΔ໺ٿͷ౷ܭ෼ੳʯ

   εΫϨΠϐϯάͱύοέʔδԽ(Beautifulsoup4),WHIP,౤ٿ෼ੳ
   • PyConJP 2017ʮ໺ٿΛՊֶ͢Δٕज़ʯˡNew!(4೥࿈ଓ4ճ໨)

   Զʑ෼ੳج൫(Scrapy, Airflow, Docker, sabr, Redash), Liner Weights, wRAA
   

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7. ΍Γ͔ͨͬͨ͜ͱ
   (2೥લͷPyConJP 2015ΑΓ)
   

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8. ໺ٿHack!~PythonΛ༻͍ͨσʔλ෼ੳͱՄࢹԽ
   - The Art Of Programming A Baseball Game! -
   Shinichi Nakagawa@shinyorke
   PyCon JP 2015 Talk Session
   

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9. ͜Ε͔Βͷ໺ٿHack(ئ๬)
   • ʮσʔλυϦϒϯ໺ٿղઆʯΛ௨ͯ͡৽͍͠໺ٿͱεϙʔπͷՄೳੑΛઆ͍ͯੜ͖͍ͨʂʂ
   ˠ΍͖͏ΛΦʔϓϯͳ৘ใج൫ʹʂ
   • ౦ژޒྠʹ޲͚ͯɺ৽͍͠໺ٿɾεϙʔπͷָ͠ΈํΛ໛ࡧ&Ϧʔυ͍͖͍ͯͨ͠ʂʂʂ
   

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10. ϫΠʮ΍͖͏෼ੳج൫Λ࡞ͬͨϯΰʯ
    #ࠓ೥ͷൃදςʔϚ
    

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11. ʮԶʑ෼ੳج൫ʯߏஙϧʔϧ
    • ʮؾܰʹ࡞ͬͯյͯ͠·ͨ࡞Δʯ։ൃ

    ओཁՕॴ͸ςετॻ͘,ϛυϧ΢ΣΞ͸DockerͰ࠶ݱੑ୲อ.
    • ࢖͍͍ͨɾࢼ͍ͨ͠ϥΠϒϥϦ͸ੵۃ׆༻

    ࣗ෼ͰϑϧεΫϥον։ൃ͸μϧ͍ͷͰۃྗճආ.

    

    ੈͷதͰ࢖͑ͦ͏ͳϞϊ͸OSSԽͯ͠ެ։

    ໺ٿϥΠϒϥϦΛPyPIʹ,Airflow ServerΛDocker Imageʹ.
    

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12. Զʑ΍͖͏෼ੳج൫ʮbradfordʯ
    ηΠόʔϝτϦΫε͕ݟ͚ͭͨαϒϚϦφʔʮνϟυɾϒϥουϑΥʔυʯ͕༝དྷ.
    ৄ͍͠Τϐιʔυ͸໊ஶʮϚωʔɾϘʔϧʯΛνΣοΫʂ
    

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13. Զʑ΍͖͏෼ੳج൫(શମ૾)
    

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14. ͜͜ʹ໺ٿσʔλΛूΊΔ
    Զʑ΍͖͏෼ੳج൫(શମ૾)
    

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15. ᶃ4DSBQZ εΫϨΠϐϯά
    
    બख੒੷Λ୳ͯ͠อଘ
    ͜͜ʹ໺ٿσʔλΛूΊΔ
    Զʑ΍͖͏෼ੳج൫(શମ૾)
    

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16. ᶃ4DSBQZ εΫϨΠϐϯά
    
    બख੒੷Λ୳ͯ͠อଘ
    ͜͜ʹ໺ٿσʔλΛूΊΔ
    ᶄલॲཧ 4"#3NFUSJDT
    
    ࢦඪ஋ܭࢉσʔλߋ৽
    Զʑ΍͖͏෼ੳج൫(શମ૾)
    

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17. ᶃ4DSBQZ εΫϨΠϐϯά
    
    બख੒੷Λ୳ͯ͠อଘ
    ͜͜ʹ໺ٿσʔλΛूΊΔ
    ᶄલॲཧ 4"#3NFUSJDT
    
    ࢦඪ஋ܭࢉσʔλߋ৽
    ᶅ"JSqPX +0#؅ཧ
    
    4DSBQZ ᶃ
    ͱલॲཧ ᶄ
    Λఆظ࣮ߦ
    Զʑ΍͖͏෼ੳج൫(શମ૾)
    

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18. ᶃ4DSBQZ εΫϨΠϐϯά
    
    બख੒੷Λ୳ͯ͠อଘ
    ͜͜ʹ໺ٿσʔλΛूΊΔ
    ᶄલॲཧ 4"#3NFUSJDT
    
    ࢦඪ஋ܭࢉσʔλߋ৽
    ᶅ"JSqPX +0#؅ཧ
    
    4DSBQZ ᶃ
    ͱલॲཧ ᶄ
    Λఆظ࣮ߦ
    ᶆ෼ੳՄࢹԽ 3FEBTI
    
    ܾ·ͬͨϝτϦΫεΛݟΔ
    Զʑ΍͖͏෼ੳج൫(શମ૾)
    

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19. ᶃ4DSBQZ εΫϨΠϐϯά
    
    બख੒੷Λ୳ͯ͠อଘ
    ͜͜ʹ໺ٿσʔλΛूΊΔ
    ᶄલॲཧ 4"#3NFUSJDT
    
    ࢦඪ஋ܭࢉσʔλߋ৽
    ᶅ"JSqPX +0#؅ཧ
    
    4DSBQZ ᶃ
    ͱલॲཧ ᶄ
    Λఆظ࣮ߦ
    ᶇ෼ੳՄࢹԽ +VQZUFS
    
    ԾઆΛܾΊ࣮ͯݧతͳ෼ੳ
    Զʑ΍͖͏෼ੳج൫(શମ૾)
    ᶆ෼ੳՄࢹԽ 3FEBTI
    
    ܾ·ͬͨϝτϦΫεΛݟΔ
    

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20. ΍͖͏෼ੳج൫Λࢧ͑Δٕज़
    1. Scrapy(εΫϨΠϐϯά)
    2. લॲཧ(SABRmetrics)
    3. Airflow(JOB؅ཧ)
    4. ෼ੳ&ՄࢹԽ(Redash)
    5. ෼ੳ&ՄࢹԽ(Jupyter)
    

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21. ScrapyʙΫϩʔϥʔFW
    • WebαΠτͷΫϩʔϧͱεΫϨΠϐϯά,σʔλͷอଘͳ
    ͲΛҰؾ௨؏ʹߦ͑ΔΫϩʔϥʔFW
    • ΫϩʔϥʔքͷDjango/Ruby On RailsͱݺΜͰ͍͍ଘࡏ
    • εέδϡʔϥʔ,UserAgent,HTTP Header,μ΢ϯϩʔυͷ
    λΠϛϯά,Ωϟογϡetc…ඞཁʹͳΔ΋ͷ͕͋Β͔͡Ί
    ༻ҙ͞Ε͍ͯΔ&ύϥϝʔλͷઃఆͳͲͰ؆୯ʹઃఆՄೳ
    

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22. Scrapyͷશମ૾
    https://doc.scrapy.org/en/latest/topics/architecture.html
    

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23. Scrapyͷશମ૾(໾ׂ)
    https://doc.scrapy.org/en/latest/topics/architecture.html
    ɾItemΛValidate
    ɾσʔλͱͯ͠อଘ
    ScrapyͷػೳΛ׆༻
    ։ൃऀ͕ઃܭɾ࣮૷
    ίϯϙʔωϯτؒΛ੍ޚ
    ɾεΫϨΠϐϯά
    ɾ݁ՌΛItemʹอଘ
    ΩϡʔʹஷΊΔ&࣮ߦ
    αΠτΛμ΢ϯϩʔυ
    

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24. ScrapyͷΑ͍ͱ͜Ζ
    • εΫϨΠϐϯάͱσʔλอଘͷ࣮૷ʹूதͰ͖Δ

    ςϯϓϨ௨Γʹ࡞Δ,σʔλอଘ͸޷͖ͳํ๏Ͱ

    ˞σʔλ͸CSV,JSON,DBͳΜͰ΋OK
    • ൥Θ͍͠νϡʔχϯά͸͢΂ͯScrapy͕୅ߦ

    ϦΫΤετͷ࣮ߦִؒ,Ωϟογϡ੍ޚetc…

    settings.pyͷઃఆΛνϡʔχϯάͰࣄ͕଍ΓΔ
    

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25. ScrapyͰͷ։ൃͰ஫ҙ͢Δ͜ͱ
    • settings.pyΛσϑΥϧτઃఆͰ࢖Θͳ͍

    σϑΥϧτ͸μ΢ϯϩʔυִؒθϩඵ,ฒߦϦΫΤετ
    ਺16,Ωϟογϡແޮͱ͔ͳΓϩοΫͳ࢓༷(਒͑੠)

    ͜ͷ··࢖͏ͱαΠτΛ౗ͪ͠Ό͏͔΋ͳͷͰΩέϯʂ
    • ϖʔδ͸߄ͯͣʮʹΜ͛ΜΒ͘͠ʯεΫϨΠϐϯά

    εΫϨΠϐϯά͢ΔωλͰϦΞϧλΠϜੑΛٻΊΔ͜ͱ
    ͸جຊແ͍ͱࢥ͏ͷͰ,αΠτʹ͸΍͘͞͠઀͢Δ.
    

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26. ΍͖͏෼ੳج൫Scrapyઃఆ(ൈਮ)
    • robots.txtʹै͏
    • ROBOTSTXT_OBEY=True
    • ಉ࣌ϦΫΤετ਺ɿ4
    • CONCURRENT_REQUESTS=4
    • ϦΫΤετִؒɿ60ඵ
    • DOWNLOAD_DELAY=60
    • Ωϟογϡɿ൒೔ؒอ࣋(΍Γ௚͕͠ޮ͘Α͏ʹ)
    • HTTPCACHE_ENABLED = True
    • HTTPCACHE_EXPIRATION_SECS = 60 * 60 * 12
    • ࢓༷: https://doc.scrapy.org/en/latest/topics/settings.html?highlight=settings.py#settings
    

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27. αΠτ(ͱਓʹ)΍͘͞͠͠Α͏ʂ
    αΠτʹౖΒΕͳ͍Α͏ʹ͠Α͏(&έϯΧ͸΍Ίͯ)
    

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28. લॲཧ(SABRmetrics)
    • औಘݩαΠτʹແ͍ηΠόʔϝτϦΫε(SABRmetrics)ࢦඪ
    • wOBA,wRAA(ޙ΄Ͳ঺հ)
    • ಘ఺૑ग़ೳྗ(Run Create,௨শRC)
    • xx/9(HR/9,BB/9,etc…౤खͷ҆ఆײɾ࣮ྗΛଌΔܥͷࢦඪ)
    • ScrapyͰItemอଘ࣌or͢΂ͯͷσʔλΛऔಘޙʹܭࢉͷඞཁ͕
    • ʲ݁࿦ʳηΠόʔϝτϦΫεࢦඪܭࢉ༻ͷύοέʔδΛ࡞ͬͨ
    

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29. SABR(໺ٿ౷ܭֶϥΠϒϥϦ)
    • GithubΛάάͬͯ΋ແ͔ͬͨͷͰࣗ࡞ͯ͠PyPIʹެ։
    • OPS,RC,wOBA,wRAA,ΞμϜɾμϯ཰ͳͲΛܭࢉ͢Δ
    ΫϥεΛύοέʔδԽͨ͠
    • https://github.com/Shinichi-Nakagawa/sabr
    • SABR͸΋ͪΖΜʮSABRmetricsʯͷ͜ͱ

    ୭΋࢖ͬͯͳ͔ͬͨͷͰಊʑͱొ࿥͠·ͨ͠w
    

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30. SABR(Example)
    $ pip install sabr
    $ python
    >>> import sabr
    >>> from sabr.stats import Stats
    >>> Stats.hr9(26, 209.7) # Yu Darvish(2013) HR/9
    1.1
    

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31. Airflow(JOB؅ཧ)
    

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32. AirflowʙJOB؅ཧ
    • ຖ೔ܾ·ͬͨ࣌ؒʹΫϩʔϦϯά&εΫϨΠϐϯά͍ͨ͠
    • ͨ·ͬͨσʔλʹରͯ͠લॲཧ΋͍ͨ͠
    • ͱ͍͏༁Ͱ,Airbnbۘ੡ͷʮAirflow(ؾྲྀ)ʯΛར༻

    https://airflow.incubator.apache.org/
    • ݱࡏ͸ApacheͷϓϩδΣΫτʹ,࢖ͬͯΔॴ΋ଟ͍
    • ͪͳΈʹRettyͰ΋Ұ෦ϓϩμΫτ(όοΫΤϯυ)ͰAirflowΛར༻
    

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33. Airflowͷ௕ॴ
    • ͔ͳΓߴػೳ.

    scheduler,workerʹ؅ཧը໘GUI·Ͱॆ࣮
    • ΄΅͢΂ͯPythonͰ࣮૷.

    PythonΛ஌͍ͬͯΕ͹อक&։ൃ΋ΠέΔ
    • ࠷ۙࣄྫ͕૿͍͑ͯΔ,ίϛϡχςΟ΋ݩؾͬΆ͍
    

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34. AirflowͷਏΈ
    • ઃఆ͕͔ͳΓ൥ࡶ

    airflow.cfgʹू໿ͯ͠Δ΋ͷͷ,݁ߏΫη͋Δ
    • ґଘϥΠϒϥϦ͕େਿ಺

    ֦ுػೳΛશ෦ͷͤͰ100Λ௒͑Δ(ߴػೳͳ෼ͷ୅ঈ?)
    • ͪΐͬͱͨ͠ઃఆมߋͰ͙͢ಈ͔ͳ͘ͳΔ

    λεΫΛ௥Ճ,ઃఆมߋΛͪΐΖͬͱ͢Δ͚ͩͰ,

    ઃఆͷ࡞Γ௚͕͠ൃੜ&࠶౓migrationΛཁٻ͞ΕΔ(ਏΈ
    

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35. ʲ൵ใʳAirflow(ؾྲྀ)͸
    ͪΐͬͱͨ͠ΞϨͰෆػݏʹͳΔ
    Turbulence(ཚؾྲྀ)ͩͬͨ
    #ֶͼ
    

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36. AirflowͷਏΈ͔ΒಀΕΔ
    • Docker Imageʹͯ͠ެ։ͨ͠(docker pull shinyorke/airflow)

    ܁Γฦ͠࡞ͬͯյ͢ͳΒDockerͰ͠ΐʂ

    ͱ͍͏͜ͱͰ৭ʑࢼͭͭ͠,҆ఆ൛ΛDocker ImageԽͨ͠

    https://hub.docker.com/r/shinyorke/airflow/
    • ݁Ռ,ؾܰʹ࡞ͬͯյͤΔ,ߏ੒Λ࿔ΕΔ؀ڥʹ

    ཚؾྲྀʹΑΔཚΕ͸ଟগϚγʹͳͬͨ(Ұ෦όάͬΆ͍ͷ͸͋Δ͕)
    • ৄࡉ͸ϒϩάʹॻ͖·ͨ͠&Contribute͓଴͍ͪͯ͠·͢

    http://shinyorke.hatenablog.com/entry/airflow-docker
    

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37. ෼ੳͱՄࢹԽʹ͍ͭͯ
    ʙJupyterͱRedashΛ࢖͍෼͚Δʙ
    

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38. ෼ੳͱՄࢹԽͷצͲ͜Ζ
    • ʮఆظతʹݟΔʯ͔ʮԾઆʹج͖࣮ͮݧʯ͢Δ͔Ͱ,

    ࢖͏ಓ۩Λ੾Γସ͑Δʢ͔ͳΓॏཁʣ.
    • ఆظతʹSQLΛୟ͍ͯάϥϑΛඳ͘ͳΒRedash
    • ڽͬͨՄࢹԽ΍࣮ݧతͳωλͰ͋Ε͹Jupyter
    • ཁ͸దࡐదॴ,μϧ͍ͷͰָ͢Δ෦෼͸ָ͠·͠ΐ͏.
    

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39. ࠓޙͷ΍͖͏ج൫։ൃܭը
    1. Productionӡ༻(k8s+GCP,ࠓγʔζϯؒʹ߹Θͣ)
    2. σʔληοτΛ૿΍͢(ࢼ߹,౤ٿ,ϝδϟʔϦʔά)
    3. SABRͷpandas൛Λͭ͘Δ(ͩͬͯpandasศར͡ΌΜ?)
    4. ෼ੳ݁ՌΛఆظతʹൃ৴͢ΔϝσΟΞ(ϒϩά)ެ։
    5. σʔλͷఏڙݩΛΈ͚ͭΔ(εΫϨΠϐϯάͭΒ͍)
    

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40. (PythonͬΆ͍τʔΫ͸)
    ͜͜·Ͱʂ
    ͜ͷઌ͸օ͞Μ͓଴͔ͪͶ…
    

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41. ΍͖͏ͷ࣌ؒͩ͋͋͋ʂʂʂ
    

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42. ໺ٿΛՊֶ͢Δٕज़
    • Liner Weights(LWTS)
    • ಘ఺ظ଴஋(Run Expectancy)
    • ಘ఺Ձ஋(Run Value)
    • ಘ఺Ձ஋Λݩʹͨ͠ηΠόʔϝτϦΫεࢦඪ
    • wOBA(Weighted On-Base Average, ॏΈ෇͖ग़ྥ཰)
    • wRAA(Weighted Runs Above Average, ଧܸߩݙ౓)
    

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43. Liner Weights(LWTS) #ͱ͸
    • ໺ٿͷϓϨʔΛಘ఺ʹஔ͖׵͑ͯධՁ͢ΔͨΊͷख๏
    • ༷ʑͳঢ়گ(Ξ΢τΧ΢ϯτ,ϥϯφʔͷ਺etc…)ຖʹϓϨʔ
    Λه࿥,ฏۉԽͨ͠਺஋ΛݩʹʮϓϨʔͷՁ஋ʯΛଌΔ
    • ۩ମతͳ֓೦ͱͯ͠ʮಘ఺ظ଴஋ʯʮಘ఺Ձ஋ʯΛ༻͍Δ
    • ৄ͘͠஌Γ͍ͨํ͸WikipediaͷղઆΛͲ͏ͧ

    https://ja.wikipedia.org/wiki/Linear_Weights
    

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44. ಘ఺ظ଴஋ͱಘ఺Ձ஋
    • ϥϯφʔͷ਺(8௨Γ)×Ξ΢τΧ΢ϯτ(3௨Γ)=24௨Γͷ
    ঢ়گΛ෼ྨ,͔ͦ͜Β3Ξ΢τऔΒΕΔ·Ͱʹ֫ಘͰ͖Δ
    (ͱࢥΘΕΔ)ฏۉతͳಘ఺Λʮಘ఺ظ଴஋(Run
    Expectancy)ʯͱݺͿ.
    • ϓϨʔ(ώοτ,૸ྥ,etc…)ʹΑͬͯ,ಘ఺ظ଴஋Λ্͛ͨ
    ͔(·ͨ͸Լ͔͛ͨ)ΛੵΈॏͶͯબखΛධՁ͢Δ.

    ͜ΕΛʮಘ఺Ձ஋(Run Value)ʯͱݺͿ.
    

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45. wOBA #ͱ͸
    • ಘ఺Ձ஋Λݩʹࢉग़ͨ͠ग़ྥ཰(ಘ఺ʹد༩ͨ͠཰)
    • Weighted On-Base Average(ॏΈ෇͖ग़ྥ཰)ͷུ
    • ʮଧऀ͕1ଧ੮͋ͨΓʹͲΕ͚ͩνʔϜͷಘ఺૿Ճʹ
    ߩݙ͔ͨ͠ʯΛද͢
    • MLB/NPBڞʹ࠷΋ϝδϟʔͳηΠόʔϝτϦΫεࢦඪ
    ͱͯ͠࢖ΘΕ͍ͯΔ
    

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46. wOBAͷ਺ࣜͱ࣮૷(sabrΑΓ)
    def woba_npb(cls, bb, hbp, _1b, _2b, _3b, hr, ab, sf, ibb=0, e_bb=0):
    """
    Weighted on-base average for NPB(wOBA)
    http://1point02.jp/
    :param bb: base on ball
    :param hbp: hit by pitch
    :param _1b: single
    :param _2b: double
    :param _3b: triple
    :param hr: home run
    :param ab: at bat
    :param sf: sacrifice fly
    :param ibb: intentional base on balls(default:0)
    :param e_bb: base on ball for error(default:0)
    :return: (float) wOBA
    """
    u_bb = round(0.692 * float(bb-ibb), 3)
    u_hbp = round(float(0.73 * hbp), 3)
    u_e_bb = round(0.966 * float(e_bb), 3)
    u_h = round(0.865 * float(_1b), 3) + round(1.334 * float(_2b), 3)\
    + round(1.725 * (_3b), 3) + round(2.065 * float(hr), 3)
    u_pa = round(float(ab + bb - ibb + hbp + sf), 3)
    return round((u_bb + u_hbp + u_e_bb + u_h) / u_pa, 3)
    

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47. wRAA #ͱ͸
    • wOBAΛಘ఺ʹ߹Θͤͯscaleͨ͠ࢦඪ
    • Weighted Runs Above Average(ଧऀͷଧܸߩݙ౓)ͷུ
    • ʮฏۉతͳଧऀ͕ಉ͡ଧ੮਺ཱͬͨ৔߹ʹൺ΂ͯ૿΍͠
    ͨಘ఺ʯΛΠϝʔδ
    • wRAA=(ଧऀͷwOBA-ϦʔάwOBA) / wOBAscale * ଧ
    ੮਺
    

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48. wRAAͷ਺ࣜͱ࣮૷(sabrΑΓ)
    def wraa(cls, woba, lg_woba, pa, woba_scale=1.24):
    """
    Weighted Runs Above Average(wRAA)
    http://1point02.jp/
    :param woba: weighted on-base average
    :param lg_woba: weighted on-base average(league average)
    :param pa: plate appearance
    :param woba_scale: weighted on-base average scale(default:1.24)
    :return: (float) wRAA
    """
    return round(((woba - lg_woba) / woba_scale) * float(pa), 1)
    

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49. ʮ೉͗͢͠Δϯΰʂ͍͍͔͛Μʹ͠Ζʂʂʯ
    έϯΧμϝθολΠ(ຊ೔ೋճ໨)
    

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50. ͔ͨ͠ʹ೉͍͠ͷͰ
    ࠷ۙͷϓϩ໺ٿͷࣄ݅Λ
    έʔεελσΟͱͯ͠ղઆ
    

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51. ͋Δ೔(8/23)ͷ޿ౡελϝϯ
    

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52. ޿ౡ౦༸Χʔϓͷελϝϯ(8/23)
    1.(༡)ాத
    2.(ೋ)٠஑
    3.(த)ؙ
    4.(ӈ)ླ໦
    5.(ࠨ)দࢁ
    6.(ࡾ)੢઒
    7.(Ұ)҆෦
    8.(ั)။ᖒ
    9.(౤)େ੉ྑ
    ରDeNAઓ
    https://baseball.yahoo.co.jp/npb/game/2017082302/stats
    

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53. ϑΝʔʔʔʂʁʂʁ(਒͑)
    1.(༡)ాத
    2.(ೋ)٠஑
    3.(த)ؙ
    4.(ӈ)ླ໦
    →(ӈ)ؠຊ
    5.(ࠨ)দࢁ
    6.(ࡾ)੢઒
    7.(Ұ)҆෦
    8.(ั)။ᖒ
    9.(౤)େ੉ྑ
    ରDeNAઓ
    https://baseball.yahoo.co.jp/npb/game/2017082302/stats
    

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54. ʲ൵ใʳ࢛൪ླ໦,ফ͑Δ(ࠓقઈ๬)
    ޿ౡླ໦੣໵͕ӈ଍टࠎં൑໌ʂ௧͗͢Δ̐൪ͷ཭୤
    https://www.nikkansports.com/baseball/news/1876605.html
    

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55. ࠷ۙ(9/3)ͷ޿ౡελϝϯ
    

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56. ޿ౡ౦༸Χʔϓͷελϝϯ(9/3)
    1.(༡)ాத
    2.(ೋ)٠஑
    3.(த)ؙ
    4.(ࠨ)দࢁ
    5.(ࡾ)੢઒
    6.(Ұ)҆෦
    7.(ั)။ᖒ
    8.(ӈ)໺ؒ
    9.(౤)Ԭా
    ରϠΫϧτઓ
    https://baseball.yahoo.co.jp/npb/game/2017090301/stats
    

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57. ʮOUT:ླ໦ɹ, IN:໺ؒɹ
    ͕Ұिؒଓ͍ͨ৔߹,
    ಘ఺ྗ͸Ͳ͏มԽ͢Δ͔?ʯ
    …ͱ͍͏໰୊ΛwRAAͰղ͘

    

    ˞࣮ࡍ͸ϥΠτ೔ସΘΓͰ͢
    

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58. ධՁํ๏
    • ླ໦͕ൈ͚Δલ(8/17-8/23)ͷσʔλͱ

    ླ໦͕ൈ͚ͨޙ(8/28-9/3)ͷσʔλΛൺֱ
    • ླ໦͕ൈ͚ͨ݀Λ(ॹํతʹҰํతʹ)໺ؒͰ୅ೖ͢Δ

    #伱͋Β͹໺ؒ #ͳΜJ
    • ൺֱͷࢦඪ͸wRAAΛ࢖͏,200ଧ੮Ҏ্ग़৔ͷબखͰੵΈ্͛

    ͳ͓໺ؒ͸200ଧ੮ະຬ͕ͩಛผʹೖΕͨ #伱͖͋Β͹໺ؒ
    • खҧ͍Ͱ8/30ͷΈσʔλൈ͚·ͨྃ͠͝ঝΛm(_ _)m
    

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59. RedashͰՄࢹԽ
    

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60. RedashͰՄࢹԽ
    ླ໦੣໵཭୤લ
    
    X3""߹ܭɿ
    

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61. RedashͰՄࢹԽ
    ླ໦੣໵཭୤લ
    
    X3""߹ܭɿ
    ໺ؒ*/ͨ͠ޙ
    X3""߹ܭɿͪΐ͍
    

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62. ಉ͡ՄࢹԽΛJupyterͰ
    

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63. Jupyter+holoviews
    

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64. Jupyter+holoviews
    "ɿླ໦੣໵཭୤લ
    X3""߹ܭ஋͕͙Β͍
    

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65. Jupyter+holoviews
    "ɿླ໦੣໵཭୤લ
    X3""߹ܭ஋͕͙Β͍
    #ɿ཭୤ޙ
    X3""߹ܭͪΐͬͱ
    

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66. ݁࿦
    • ૯߹ܭͰ໿30%νʔϜͷwRAA͕௿Լͨ͜͠ͱ͕൑໌
    • ϚΠφεཁҼ
    • ࢛൪ଧऀ͕ফ͑ͨ #ͦΒͦ͏Α
    • ໺͕ؒॱௐʹwRAAͰϚΠφε #ͦΒͦ͏Α
    • ࠓճͷՄࢹԽ͸Redashͷํ͕΍Γ΍͔ͬͨ͢
    • Jupyterͱ͍͏͔Holoviews࢖͍͜ͳ͍ͨ͠ #͓ؾ࣋ͪ
    

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67. ʲ౴ʳ
    ླ໦੣໵཭୤Ͱ

    ಘ఺ྗ͕໿30%௿Լ͢Δ
    (ཧ࿦্͸)
    

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68. ࣮ࡍͷ޿ౡ͸... ※9/7࣌఺
    • 8/23-9/7ͷ੒੷
    • 9উ5ഊɹ˞6࿈উத
    • ಘࣦ఺ࠩ +20 ※70ಘ఺, 50ࣦ఺
    • উ཰.642, ϐλΰϥεউ཰.662
    • 30%ͷಘ఺ྗ௿ԼΛாফ͠ʹͨ͠ଧऀ͕͍ΔͬΆ͍
    

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69. ʲਤʳ8/23-9/7ͷwOBAਪҠ
    

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70. ʲਤʳ8/23-9/7ͷwOBAਪҠ
    ɾদࢁཽฏ ϨϑτɾϥΠτ
    
    ɾ҆෦༑༟ ϑΝʔετ
    
    ɾ။ᖒཌྷ Ωϟονϟʔ
    
    ͷX0#"͕վળˠಘ఺ྗ૿Ճ ॾʑͷϚΠφεΛվળ
    

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71. ݁ͼ
    

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72. (੣໵͕ൈ͚ͨΒ)ͦΒͦ͏Α
    

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73. ݁ͼ
    • ͦΒ(ླ໦੣໵ൈ͚ͨΒಘ఺͕େ෯ʹݮΔʹ)

    ͦ͏Α(ܾ·ͬͯΔ͡Όͳ͍͔)
    • ໺ٿͷՊֶ(ηΠόʔϝτϦΫε)ͱ

    σʔλʹڧ͍PythonͰ٬؍త͔ͭࢹ֮తʹઆ໌Ͱ͖·͢Αͱ
    • 30%ͷಘ఺ྗ௿ԼΛແࢹͯ͠ϚδοΫΛݮΒ͠ଓ͚ΔΧʔϓͷා͞
    • ΍͖͏෼ੳج൫Ͱ໘ന͍͜ͱ͕Ͱ͖ͦ͏ͳͷͰҾ͖ଓ͖։ൃ΍Δͧʂ
    • Python΋໺ٿ΋,͜ͷωλ͕ʮ͓΋Ζ͍ʂʯͱࢥͬͨΒਅࣅͯ͠΄͍͠
    

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74. ʮਅࣅΛ͢Δ͜ͱʯ
    is
    OUTPUT & FOLLOW
    #ࢲͳΓͷ݁࿦
    

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75. Special Thanks
    …ͱ,ձ৔ͷօ͞·ʂ
    ͝ڠྗ͋Γ͕ͱ͏͍͟͝·ͨ͠ʂʂ
    

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76. ήʔϜηοτʂʂʂ
    ͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠&Ҿ͖ଓ͖PyConJP 2017Λָ͠Έ·͠ΐ͏!
    Shinichi Nakagawa(Twitter/Facebook/etc… @shinyorke)
    

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