Note: if you run this notebook yourself, make sure to mount the complete JFinM_Charts directory to IJulia / Jupyter, as the notebook will link to the d3 directory in the main project directory.
mount equals JFinM_ChartsJFinM_Charts is mounted as directory mount
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pwd()
    
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In general, we need to define paths to the following components:
Thereby only two components are defined relative to the current directory:
All other components are relative to the output file:
except the d3 chart code, which always resides in the package directory and gets completely included into the output file.
The best way to create a chart instance is through the general function chart, which simultaneously allows further customizations through keyword arguments:
In [2]:
    
using JFinM_Charts
    
d3 folder in JFinM_Charts directory, so we will not use it in this demo, as the notebook charts should be viewable on github-pages and nbviewer also
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d3lib = d3SymLink()
    
    
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readdir()
    
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dump(d3lib)
    
    
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d3lib = JFinM_Charts.D3Lib("../d3")
    
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In [7]:
    
treeData = [0  2  2  2  2  2;
            1  0  3  3  3  3;
            2  2  0  4  4  4;
            3  3  3  0  5  5;
            4  4  4  4  0  6;
            5  5  5  5  5  0]
    
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trChrt = chart(JFinM_Charts.VineTreeChart, vSpace = 50, width = 80)
    
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extData:
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dump(trChrt)
    
    
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embChart = JFinM_Charts.embed(treeData, trChrt, d3lib)
    
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embChart = JFinM_Charts.embed(treeData, trChrt, d3lib, width = 550, height = 300)
    
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embChart.absHtmlPath
    
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dump(embChart)
    
    
dataPaths will show the variable name of the data in Javascript
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embChart.dataPaths
    
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render
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render(treeData, trChrt, "./tmp/treeChartTest.html", ["treeArrayDataName"], d3lib)
    
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readdir("./tmp")
    
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render(treeData, trChrt, "./tmp/treeChartTest.html", ["treeArrayDataName"])
    
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using TimeData
    
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chrt = JFinM_Charts.chart(MLineChart)
    
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dats = [Date(2001,1,1):Date(2001,1,30)]
data = Timematr(rand(30), dats)
data[1:3, :]
    
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In [25]:
    
embed(data, chrt, width = 850, height = 600)
    
    
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render(data, chrt, "./tmp/linePlot.html")
    
    
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render([], chrt, "./tmp/linePlot2.html", ["./tmp/linePlot_data.csv"])
    
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