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        "description": "## PlotlyExtreme\n\nSet of wrapper functions to abstract repetitive tasks related to plotting with\nthe plotly library.\n\nThe plotly functions are passed as arguments to limit what this package has to\nhandle.\n\n### Current Plots\n\n#### Plot a Big Number\n\n`plots.create_big_number`\n\n![Big Number](/img/plot_big_number.png?raw=true)\n\n#### Plot Four Dimensions using Buttons\n\n`plots.plot_four_dimensions`\n\n![Four Dimensions with Annotations](/img/plot_four_dimensions.png?raw=true)\n\n\n### Example\n\n```\nimport pandas as pd\nfrom plotly.offline import iplot\nimport plotly.graph_objs as go\nimport plotly\n\nfrom plotlyextreme import plots\n\ndf = pd.DataFrame({\n                    'abc':[1000,5000,3000,1000,1000,1500,8000,1000],\n                    'def':[4,5,6,4,6,4,6,4],\n                    'ghi':['a', 'b', 'a', 'b', 'a', 'b', 'a', 'b'],\n                    'jkl':['z', 'z', 'z', 'z', 'y', 'y', 'y', 'y'],\n                    'annotation_one': ['a', 'a', 'a', 'a', 'a', 'a', 'a', 'a'],\n                    'annotation_two': ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']\n                  })\n\nplots.create_big_number(title='abc', large_number=123, pacing=.7,\n                        render_func=iplot)\n\nplots.plot_four_dimensions(df, x='abc', y='def', title='alphabet',\n                           segmentation_col='ghi',    button_col='jkl',\n                           buttons=['z', 'y'], default_visibility='z',\n                           trace_func=go.Scatter, render_func=iplot),\n                           x_layout=go.layout.XAxis(tickformat=',d'))\n```\n\n\n",
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        "name": "plotlyextreme",
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        "summary": "Simple wrapper functions for plotly visualization package",
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