【阪医Python会 2020新歓ハンズオン】COVID-19のデータを可視化してみよう

by ykohki

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COVID-19のデータを可視化してみよう阪医Python会新歓2020ハンズオン

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͓ئ͍ • ՄೳͰ͋Ε͹ɺإग़͠ͰͷࢀՃͰ͋Δͱ͏Ε͍͠Ͱ͢ɹɹɹɹ ʢڧ੍Ͱ͸͋Γ·ͤΜʣ • ໊લͷઃఆ • 40෼͝ͱʹ࠶઀ଓ • ࿥ըͷڐՄ Zoomʹ͍ͭͯ

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ࢿྉʹ͍ͭͯ • github: • google colab: • GoogleυϥΠϒɿ ykohki/COVID-19_plot_training COVID19_python_plot.ipynb - Colaboratory ৽׻2020ϋϯζΦϯ_COVID-19 - Google υϥΠϒ githubͷϦϯΫઌʹ͢΂ͯͷࢿྉˍϦϯΫΛ ͓͍ͯ͋Γ·͢ʂ

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͍͋ͭ͝͞

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ࡕେҩֶ෦Pythonձ YouTubeʹͯಈըΛެ։தʂ େࡕେֶҩֶ෦ʹͯɺPythonʹ·ͭΘΔษڧΛ ߦ͏ֶੜͷஂମ

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ࣗݾ঺հίʔφʔ • ໊લ • ग़਎ߴߍɾॴଐͳͲ • ͻͱ͜ͱ ࢀՃऀͷํ → Pythonձϝϯόʔɹͷॱ൪Ͱ ྫʣϓϩάϥϛϯάྺ ɹɹPythonΛֶΜͰ΍ͬͯΈ͍ͨ͜ͱ

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ϋϯζΦϯͷਐΊํ 1. ϋϯζΦϯͷ໨త 2. Pythonʹ৮ΕͯΈΑ͏ 3. ٳܜ 4. ࣮ફʔϋϯζΦϯʔ 5. ࣭໰ˍࡶஊίʔφʔ

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ϋϯζΦϯͷ໨త

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ϋϯζΦϯͷ໨త • Pythonʹ৮ΕͯΈΔ • PythonʹڵຯΛ࣋ͬͯ΋Β͏

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͜ͷϋϯζΦϯͰͰ͖Δ͜ͱ • COVID-19ͷ౷ܭσʔλʹ৮ΕͯΈΔ • PythonͰ͍Ζ͍ΖͳάϥϑΛ࡞Δ͜ͱ͕Ͱ͖Δ COVID-19 Python plot

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Pythonʹ৮ΕͯΈΑ͏

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Google Colab Λ࢖͍·͢ • Google͕։ൃ • Jupyter Notebookͱ͍͏Pythonͷͷ࣮ߦ؀ڥ ΛΦϯϥΠϯͰ࢖͑Δ • ແྉʂ • ؀ڥߏங͕ϥΫʹͰ͖Δ

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Jupyter Notebookͷ͢͢Ί • ϊʔτϒοΫͱݺ͹ΕΔܗࣜͰɺ ɹ ࡞੒ͨ͠ϓϩάϥϜΛ࣮ߦɻ • ϓϩάϥϜͱͦͷ࣮ߦ݁Ռ΍ͦͷࡍͷϝϞΛɹɹɹɹɹɹɹ ؆୯ʹ࡞੒ɺ֬ೝͰ͖Δ

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Google ColabΛ࢖ͬͯΈΑ͏ • GoogleυϥΠϒΛ։͘ˠ • ϑΥϧμ͝ͱϚΠυϥΠϒʹίϐʔΛ࡞੒ • ʮtest.ipynbʯΛ։͘ ৽׻2020ϋϯζΦϯ_COVID-19 - Google υϥΠϒ

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Google ColabΛ࢖ͬͯΈΑ͏ • ηϧ • ʮShift + EnterʯͰηϧ͝ͱʹ࣮ߦ

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͜Ε͔ΒPythonΛษڧ͍ͯ͘͠ͳΒ... anacondaΛ࢖ͬͯɺ ࣗ෼ͷPCʹPythonΛinstall͢Δͷ͕͓͢͢ΊͰ͢

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ٳܜ 10෼ؒ

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ޙ൒ઓ • ࣮ફɺखΛಈ͔͢ • ࣭໰ˍࡶஊίʔφʔ

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COVID-19ͷσʔλΛPythonͰ ՄࢹԽͯ͠ΈΔ • ࢖༻͢Δσʔλʹ͍ͭͯ • σʔλΛ͖Ε͍ʹ੔͑Δ • ͍Ζ͍ΖͳάϥϑΛ࡞ͬͯΈΔ • ΠϯλϥΫςΟϒͳϚοϓΛ࡞ͬͯΈΔ

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COVID-19ͷσʔλΛPythonͰ ՄࢹԽͯ͠ΈΔ • ࢖༻͢Δσʔλʹ͍ͭͯ • σʔλΛ͖Ε͍ʹ੔͑Δ • ͍Ζ͍ΖͳάϥϑΛ࡞ͬͯΈΔ • ΠϯλϥΫςΟϒͳϚοϓΛ࡞ͬͯΈΔ

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࢖༻͢Δσʔλʹ͍ͭͯ • ͪ͜Βͷσʔλˠ • ࢹ֮తͳαΠτˠ CSSEGISandData/COVID-19: Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE ArcGIS Dashboards

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σʔλͷܗࣜ COVID-19/csse_covid_19_data/csse_covid_19_time_series at master · CSSEGISandData/COVID-19 • time_series_covid19_conﬁrmed_global.csv • time_series_covid19_deaths_global.csv • time_series_covid19_recovered_global.csv

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σʔλͷܗࣜ https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_conﬁrmed_global.csv

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PythonͰσʔλΛಡΈࠐΜͰΈΔ

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ϥΠϒϥϦͱ͸ جຊతͳػೳ ࠷௿ݶඞཁͳ ΋ͷ ֦ுతͳػ ೳ ϥΠϒϥϦ ඪ४ϥΠϒϥϦ ࠷ॳ͔ΒJOTUBMM ͞Ε͍ͯΔ ࣗ෼Ͱ௥Ճ͢Δ ϥΠϒϥϦ 1ZUIPO جຊతͳػೳ ࠷௿ݶඞཁͳ ΋ͷ ֦ுతͳػ ೳ ϥΠϒϥϦ ඪ४ϥΠϒϥϦ ࠷ॳ͔ΒJOTUBMM ͞Ε͍ͯΔ ࣗ෼Ͱ௥Ճ͢Δ ϥΠϒϥϦ جຊతͳػೳ ࠷௿ݶඞཁͳ ΋ͷ ֦ுతͳػ ೳ ϥΠϒϥϦ ඪ४ϥΠϒϥϦ ࠷ॳ͔ΒJOTUBMM ͞Ε͍ͯΔ ࣗ෼Ͱ௥Ճ͢Δ ϥΠϒϥϦ جຊతͳػೳ ࠷௿ݶඞཁͳ ΋ͷ ֦ுతͳػ ೳ ϥΠϒϥϦ ඪ४ϥΠϒϥϦ ࠷ॳ͔ΒJOTUBMM ͞Ε͍ͯΔ ࣗ෼Ͱ௥Ճ͢Δ ϥΠϒϥϦ

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༗໊ͳ&Α͘࢖͏ϥΠϒϥϦͨͪ /VNQZ 4DJQZ ਺஋ܭࢉɺಛʹଟ࣍ݩ഑ྻͷܭࢉʹ ศརɻ 4DJQZ͸Պֶٕज़ܭࢉʹɻ 1BOEBT දܭࢉ͕ಘҙɻ &YDFMͷΑ͏ͳදܗࣜͰɻ NBUQMPUMJC %ϓϩοτʹ࢖͏ɻ ͲΜͳ෼໺Ͱ΋࡞ਤ͢Δͱ͖ʹ࢖ ͏ɻ TFBCPSO NBUQMPUMJCΛϕʔεʹɺΑΓߴ౓ͳ ϓϩοτ͕Ͱ͖Δ TDJLJUMFBSO ػցֶशͷϥΠϒϥϦɻ

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Pandas • ExcelͰ࡞ΔΑ͏ͳදܗࣜͷϑΝΠϧΛѻ͑Δ • csvͱ͸ɺΧϯϚͰ۠੾ΒΕͨσʔλͷ͜ͱɻ ʢcomma-separated valuesʣ • ΧϥϜͱΠϯσοΫε ΧϥϜ Π ϯ σ ỽ Ϋ ε

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Google Colab΁

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՝୊1 • 4/8/20ͷσʔλΛදࣔͤͯ͞ΈͯԼ͍͞ df_time_confirmed["4/8/20"].head()

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COVID-19ͷσʔλΛPythonͰ ՄࢹԽͯ͠ΈΔ • ࢖༻͢Δσʔλʹ͍ͭͯ • σʔλΛ͖Ε͍ʹ੔͑Δ • ͍Ζ͍ΖͳάϥϑΛ࡞ͬͯΈΔ • ΠϯλϥΫςΟϒͳϚοϓΛ࡞ͬͯΈΔ

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σʔλΛ͖Ε͍ʹ੔͑Δ • ͍Βͳ͍ΧϥϜʢྻʣͷ࡟আ • Country/Region͝ͱʹ·ͱΊΔ • ΧϥϜͱΠϯσοΫεͷ൓స • ࠃ໊ˠࠃ໊ίʔυʹม׵͢Δɹɹɹɹɹɹɹɹɹɹ ྫʣJapan→JPN ࣮ࡍͷίʔυΛݟͯΈ·͠ΐ͏ʂ

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Google Colab΁

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COVID-19ͷσʔλΛPythonͰ ՄࢹԽͯ͠ΈΔ • ࢖༻͢Δσʔλʹ͍ͭͯ • σʔλΛ͖Ε͍ʹ੔͑Δ • ͍Ζ͍ΖͳάϥϑΛ࡞ͬͯΈΔ • ΠϯλϥΫςΟϒͳϚοϓΛ࡞ͬͯΈΔ

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͍Ζ͍ΖͳάϥϑΛ࡞ͬͯΈΔ

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͍Ζ͍ΖͳάϥϑΛ࡞ͬͯΈΔ

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࢖͏ϥΠϒϥϦ • ௨ৗͷplot • ΠϯλϥΫςΟϒͳplot matplotlib • Bokeh • Folium

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Google Colab΁

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՝୊2 • ޷͖ͳࠃΛબΜͰɺંΕઢਤΛදࣔͤͯ͞Έ ͍ͯͩ͘͞ # υΠπ country = "DEU" df_time_confirmed_sum[country].plot() plt.title(country) plt.ylim([0, today_max_round])

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՝୊2 • ࢮऀ਺ɺճ෮ͨ͠ױऀ਺Ͱ΋ಉ༷ͷਤΛ࡞ͬ ͯΈ͍ͯͩ͘͞ # ࢮऀ਺ country = "DEU" df_time_deaths_sum[country].plot() plt.title(country) plt.ylim([0, today_max_round]) # ճ෮ͨ͠ױऀ਺ country = "DEU" df_time_recovered_sum[country].plot() plt.title(country) plt.ylim([0, today_max_round])

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՝୊3 • 2ϲࠃΛબΜͰɺBokehͰΠϯλϥΫςΟϒͳ ંΕઢਤΛඳ͍ͯΈΑ͏ # தࠃͱ೔ຊ import pandas_bokeh pandas_bokeh.output_notebook() df_time_confirmed_sum[["CHN", "JPN"]].plot_bokeh.line()

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·ͱΊ • ͸͡ΊͯPythonΛ৮ͬͯΈͯ • PythonͰ͸ଞʹ΋͍Ζ͍Ζͳ͜ͱ͕Ͱ͖·͢ • ·ͨམͪண͍ͨΒΦϑͰษڧձ΍Γ·͠ΐ͏ʂ