60 lines
1.9 KiB
Julia
60 lines
1.9 KiB
Julia
const use_local_dependencies = Ref(false)
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const use_local_plotlyjs = Ref(false)
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function _init_ijulia_plotting()
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# IJulia is more stable with local file
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use_local_plotlyjs[] =
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plotly_local_file_path[] === nothing ? false : isfile(plotly_local_file_path[])
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ENV["MPLBACKEND"] = "Agg"
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end
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"""
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Add extra jupyter mimetypes to display_dict based on the plot backed.
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The default is nothing, except for plotly based backends, where it
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adds data for `application/vnd.plotly.v1+json` that is used in
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frontends like jupyterlab and nteract.
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"""
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_ijulia__extra_mime_info!(plt::Plot, out::Dict) = out
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function _ijulia__extra_mime_info!(plt::Plot{PlotlyJSBackend}, out::Dict)
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out["application/vnd.plotly.v1+json"] =
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Dict(:data => plotly_series(plt), :layout => plotly_layout(plt))
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out
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end
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function _ijulia__extra_mime_info!(plt::Plot{PlotlyBackend}, out::Dict)
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out["application/vnd.plotly.v1+json"] =
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Dict(:data => plotly_series(plt), :layout => plotly_layout(plt))
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out
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end
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function _ijulia_display_dict(plt::Plot)
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output_type = Symbol(plt.attr[:html_output_format])
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if output_type == :auto
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output_type = get(_best_html_output_type, backend_name(plt.backend), :svg)
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end
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out = Dict()
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if output_type == :txt
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mime = "text/plain"
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out[mime] = sprint(show, MIME(mime), plt)
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elseif output_type == :png
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mime = "image/png"
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out[mime] = base64encode(show, MIME(mime), plt)
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elseif output_type == :svg
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mime = "image/svg+xml"
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out[mime] = sprint(show, MIME(mime), plt)
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elseif output_type == :html
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mime = "text/html"
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out[mime] = sprint(show, MIME(mime), plt)
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_ijulia__extra_mime_info!(plt, out)
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elseif output_type == :pdf
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mime = "application/pdf"
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out[mime] = base64encode(show, MIME(mime), plt)
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else
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error("Unsupported output type $output_type")
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end
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out
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end
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