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可視化ライブラリでWebツールを作ってみた
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yujikawa
December 20, 2017
Technology
520
2
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可視化ライブラリでWebツールを作ってみた
Pythonのdashを使った可視化ツールのお話です。
yujikawa
December 20, 2017
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Transcript
ՄࢹԽϥΠϒϥϦͰ 8FCπʔϧΛ࡞ͬͯΈͨ 1Z'VLVPLB Ώ͔͡Θ!ZVKJLBXB@QZ
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ڵຯΛ࣋ͬͨํ8BOUFEMZͰਃ͠ࠐΈΛ͓ئ͍͠·͢ʂ
͋Δͷ͜ͱʜ ຖ݄ɺΈΜͳͷੜ ࢈ੑଌΓ͍͔ͨΒ։ൃͷ ༧࣮ใ͘ΕΑ ++*3"Ͱཧͯ͠ ͍ΔͷͰग़͠·͢ʂ
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Γ͍ͨ͜ͱ w +*3"͔ΒνέοτΛऔಘ w ݄͝ͱͷݸਓͷ༧࣮ใऔಘ w ຖͷνʔϜ༧࣮ใऔಘ w ՄࢹԽϥΠϒϥϦͰάϥϑΛඳը w
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%BTIͷΠϯετʔϧ ެࣜαΠτʹैͬͯΠϯετʔϧ͠·͢ɻ pip install dash==0.19.0 # The core dash backend
pip install dash-renderer==0.11.1 # The dash front-end pip install dash-html-components==0.8.0 # HTML components pip install dash-core-components==0.15.2 # Supercharged components pip install plotly --upgrade # Plotly graphing library used in examples ͜ΕͰ͋ͱPython͚ͩͰϓϩάϥϛϯάʂԼهͷΑ͏ͳάϥϑΛ࡞ΕΔʂ
%BTIαϯϓϧίʔυ import dash import dash_core_components as dcc import dash_html_components as
html app = dash.Dash() app.layout = html.Div(children=[ html.H1(children='Hello Dash'), html.Div(children=''' Dash: A web application framework for Python. '''), dcc.Graph( id='example-graph', figure={ 'data': [ {'x': [1, 2, 3], 'y': [4, 1, 2], 'type': 'bar', 'name': 'SF'}, {'x': [1, 2, 3], 'y': [2, 4, 5], 'type': 'bar', 'name': u'Montréal'}, ], 'layout': { 'title': 'Dash Data Visualization' } } ) ]) if __name__ == '__main__': app.run_server(debug=True)
࡞ͬͨͷ Λೖྗͯ͠ૹ৴͢Δͱ ͦͷظؒͷνέοτใΛ औಘूܭΛߦ͍ඳը͢Δ IUUQTHJUIVCDPNZVKJLBXBKJSBEBTI
·ͱΊ %BTI׳ΕΔͷʹͪΐͬͱ͕࣌ؒඞཁɻ·ͨ+BWB4DSJQU ઈରॻ͖ͨ͘ͳ͍ͱ͍͏1ZUIPOJTUʹ͓͢͢Ίɻ ͦ͏͡Όͳ͍ਓ%KTDIBSUKTͳͲ͍Ζ͍Ζ͋Γ·͢ͷ ͰͦͪΒΛͬͨํ͕ྑ͍͔͠Ε·ͤΜɻ +BWB4DSJQUͷษڧ͍ͨ͠ํʜʜʜ
+BWB4DSJQUΛ͍ͬͯΔٕज़ऀಉ͕࢜ަྲྀͰ͖Δ ίϛϡχςΟΛฐࣾͷϑϩϯτϝϯόʔ͕࡞Γ·ͨ͠ ॳճΠϕϯτʢۚʣ ਃࠐઌɿIUUQTGVLVPLBKTDPOOQBTTDPNFWFOU
ͪͳΈʹ ʮ1ZUIPOϥΠϒϥϦΛ&MJYJSͰ։ൃͯ͠Έͨʯͱ͍͏ςʔϚͰൃද͠·͢
͝੩ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠