Add Button.value Event parameter
Add test
Small fix
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"""
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Defines a custom PlotlyPlot bokeh model to render Plotly plots.
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"""
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from bokeh.core.properties import ( |
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Any, Dict, Enum, Int, Instance, List, String |
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)
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from bokeh.models import LayoutDOM, ColumnDataSource |
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from ..util import classproperty, bundled_files |
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class PlotlyPlot(LayoutDOM): |
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"""
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A bokeh model that wraps around a plotly plot and renders it inside
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a bokeh plot.
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"""
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__javascript_raw__ = [ |
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'https://code.jquery.com/jquery-3.4.1.min.js', |
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'https://cdn.plot.ly/plotly-latest.min.js'
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]
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@classproperty
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def __javascript__(cls): |
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return bundled_files(cls) |
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@classproperty
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def __js_skip__(cls): |
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return {'Plotly': cls.__javascript__[1:]} |
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__js_require__ = { |
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'paths': { |
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'plotly': 'https://cdn.plot.ly/plotly-latest.min' |
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},
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'exports': {'plotly': 'Plotly'} |
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}
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data = List(Any) |
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layout = Dict(String, Any) |
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config = Dict(String, Any) |
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data_sources = List(Instance(ColumnDataSource)) |
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# Callback properties
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relayout_data = Dict(String, Any) |
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restyle_data = List(Any) |
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click_data = Dict(String, Any) |
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hover_data = Dict(String, Any) |
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clickannotation_data = Dict(String, Any) |
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selected_data = Dict(String, Any) |
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viewport = Dict(String, Any) |
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viewport_update_policy = Enum( "mouseup", "continuous", "throttle") |
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viewport_update_throttle = Int() |
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_render_count = Int() |
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