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rendering_multiseries_column2d_chart_using_json_example.py
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from django.shortcuts import render from django.http import HttpResponse # Include the `fusioncharts.py` file that contains functions to embed the charts. from ..fusioncharts import FusionCharts # The `chart` function is defined to load data from a Python Dictionary. This data will be converted to # JSON and the chart will be rendered in the browser. def chart(request): # Create an object for the Multiseries column 2D charts using the FusionCharts class constructor mscol2D = FusionCharts("mscolumn2d", "ex1" , "600", "400", "chart-1", "json", # The data is passed as a string in the `dataSource` as parameter. """{ "chart": { "caption": "App Publishing Trend", "subCaption": "2012-2016", "xAxisName": "Years", "yAxisName" : "Total number of apps in store", "formatnumberscale": "1", "drawCrossLine":"1", "plotToolText" : "<b>$dataValue</b> apps on $seriesName in $label", "theme": "fusion" }, "categories": [{ "category": [{ "label": "2012" }, { "label": "2013" }, { "label": "2014" }, { "label": "2015" },{ "label": "2016" } ] }], "dataset": [{ "seriesname": "iOS App Store", "data": [{ "value": "125000" }, { "value": "300000" }, { "value": "480000" }, { "value": "800000" }, { "value": "1100000" }] }, { "seriesname": "Google Play Store", "data": [{ "value": "70000" }, { "value": "150000" }, { "value": "350000" }, { "value": "600000" },{ "value": "1400000" }] }, { "seriesname": "Amazon AppStore", "data": [{ "value": "10000" }, { "value": "100000" }, { "value": "300000" }, { "value": "600000" },{ "value": "900000" }] }] }""") return render(request, 'index.html', {'output': mscol2D.render(), 'chartTitle': 'Multiseries Column 2D Chart'})