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        "description": "Graphos\n----------------\n\n[![Build Status](https://travis-ci.org/agiliq/django-graphos.png)](https://travis-ci.org/agiliq/django-graphos)\n\nGraphos is a Django app to normalize data to create beautiful charts. \n\n* Demo: [http://agiliq.com/demo/graphos/](http://agiliq.com/demo/graphos/).  \n* Docs: [https://pythonhosted.org/django-graphos-3/](https://pythonhosted.org/django-graphos-3/).\n\n### Supported Backends:\n\n* Python Nested lists\n* CSV Files\n* MongoDB\n* Redis\n* Django ORM\n\n### Charting API Supported\n\n* [Flot](http://flotcharts.org)\n* [Google Charts API](https://developers.google.com/chart/)\n* [YUI Charts](http://yuilibrary.com/yui/docs/charts/)\n* [Morris.js](http://www.oesmith.co.uk/morris.js/)\n* [Highcharts](http://www.highcharts.com/)\n\n### Chart types supported\n\n#### Flot\n\n* Line chart\n* Bar Chart\n* Point Chart\n\n#### Google Charts\n\n* Area chart\n* Bar chart\n* Candlestick charts\n* Column chart\n* Line chart\n* Pie chart\n* Treemap chart\n* Area chart\n\n#### YUI\n\n* Line chart\n* Column chart\n* Bar chart\n* Pie chart\n\n#### Morris.js\n\n* Line chart\n* Column chart\n* Donut chart\n\n#### Highcharts\n\n(You will need to buy a license if you use highcharts for commerical use)\n\n* Line Chart\n* Bar Chart\n* Column Chart\n* Pie Chart\n\n#### Matplotlib\n\n* LineChart\n* BarChart\n\n\n### Demo\n\nInstall the requirements, `manage.py runserver`.\nThe installed demo app shows the various suported chart types.\n\n\n### Overview of Plot generation\n\nGenerating a plot requires two things. A DataSource and a Chart object.\n\nIn your view, you do something like this:\n\n    data =  [\n            ['Year', 'Sales', 'Expenses'],\n            [2004, 1000, 400],\n            [2005, 1170, 460],\n            [2006, 660, 1120],\n            [2007, 1030, 540]\n        ]\n    Chart = LineChart(SimpleDataSource(data=data), html_id=\"line_chart\")\n\nAnd then in the template:\n\n    {{ chart.as_html }}\n\n\n### Examples\n\n#### Generating a plot from python list\n\n    data =  [\n            ['Year', 'Sales', 'Expenses'],\n            [2004, 1000, 400],\n            [2005, 1170, 460],\n            [2006, 660, 1120],\n            [2007, 1030, 540]\n        ]\n    Chart = LineChart(SimpleDataSource(data=data))\n\n#### Generating a plot from CSV file\n\n    csv_file = open(\"hello.csv\")\n    LineChart(CSVDataSource(csv_file))\n\n#### Generating a plot from the ORM\n\n    queryset = Accounts.objects.filter(foo=bar)\n    LineChart(ModelDataSource(queryset, fields=[\"year\", \"sales\", \"expenses\"]))\n\n\n#### Generating a plot from Redis\nTodo\n\n#### Generating a plot from MongoDB\nTodo\n\n### Installation\n\npip install django-graphos\n\n### Compatibility\n\nGraphos is compatible with Python 2.7 and Python 3.3+\n\n[available on pypi](https://pypi.python.org/pypi/django-graphos/)\n\n\n### Creating new DataSource\n\nA DataSource is a class which has these three methods.\n\n    get_data\n    get_header\n    get_first_column\n\n`get_header` is used by a `Renderer` to create the labels.\n`get_first_column` is used to set the x axis labels\n`get_data` is used to get the data for display. It should always return a nested list. Eg:\n\n    [\n        ['Year', 'Sales', 'Expenses'],\n        [2004, 1000, 400],\n        [2005, 1170, 460],\n        [2006, 660, 1120],\n        [2007, 1030, 540]\n    ]\n\nIf you create a class extending `SimpleDataSource`, and implement `get_data`. You get\n`get_header` and `get_first_column` for free.\n\n### Creating new Renderer\n\nA renderer is a class which takes a  `DataSource` and can convert it to the html to display.\n\nThe only required method on a `Renderer` is `as_html`. This will convert the dat ato a format which can display the chart.\n\nGenerally you will convert the data to json and pass it to the template which you return.\n\n\n### License\n\nBSD\n\n",
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