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jdavidheiser/nvd3 test

Created March 12, 2014 23:41
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nvd3 test
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"name": ""
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"worksheets": [
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"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"** nvd3 visualization test **\n",
"\n",
"This uses the nvd3 packages for Python, which can be found at https://github.com/areski/python-nvd3\n",
"\n",
"This library implements Python bindings for the nvd3 javascript visualization library. ndv3 is, itself,\n",
"a layer on top of d3.js. The overall goal is to create beautiful, interactive, javascript plots\n",
"which can be viewed in a browser. Here, we will attempt to make nvd3 plots work interactively\n",
"in an ipython notebook."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"***implementation note***\n",
"\n",
"First, we must note that, in IPython version 1.x, the Notebook server does not allow direct file access to the current working directory. Since most of these javascript apps are written to assume that the needed libraries are under the current directory, this will cause the imports of these javascript libraries to fail. Specificcally, nvd3 attempts to load files from ./bower_components/ - but this directory is not exposed by the IPython notebook. Instead, IPython serves them as local files at http://server:port/files/bower_components"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# import relevant libraries\n",
"\n",
"import pandas as pd\n",
"import numpy as np\n",
"import nvd3\n",
"import IPython.display as d\n",
"\n",
"def fix_html(html_doc):\n",
" html_doc = html_doc.replace(\"./bower_components/nvd3/nv.d3.min.js\",\\\n",
" \"https://raw.github.com/novus/nvd3/master/nv.d3.min.css\")\n",
" html_doc = html_doc.replace(\"./bower_components/d3/d3.min.js\",\\\n",
" \"https://rawgithub.com/mbostock/d3/v3.3.8/d3.js\")\n",
" html_doc = html_doc.replace(\"./bower_components/nvd3/src/nv.d3.css\",\\\n",
" \"https://rawgithub.com/novus/nvd3/master/nv.d3.min.css\")\n",
" return html_doc"
],
"language": "python",
"metadata": {
"code_folding": []
},
"outputs": [],
"prompt_number": 28
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"d.HTML(\n",
"'''\n",
"<!DOCTYPE html>\n",
"<html lang=\"en\">\n",
"<head>\n",
"<script src=\"https://rawgithub.com/mbostock/d3/v3.3.8/d3.js\" charset=\"utf-8\"></script>\n",
"<link href=\"https://rawgithub.com/novus/nvd3/master/nv.d3.min.css\" rel=\"stylesheet\" />\n",
"<script src=\"https://rawgithub.com/novus/nvd3/master/nv.d3.js\"></script>\n",
"\n",
"</head>\n",
"<body>\n",
"loading javascript\n",
"</body>\n",
"</html>\n",
"'''\n",
")"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"\n",
"<!DOCTYPE html>\n",
"<html lang=\"en\">\n",
"<head>\n",
"<script src=\"https://rawgithub.com/mbostock/d3/v3.3.8/d3.js\" charset=\"utf-8\"></script>\n",
"<link href=\"https://rawgithub.com/novus/nvd3/master/nv.d3.min.css\" rel=\"stylesheet\" />\n",
"<script src=\"https://rawgithub.com/novus/nvd3/master/nv.d3.js\"></script>\n",
"\n",
"</head>\n",
"<body>\n",
"loading javascript\n",
"</body>\n",
"</html>\n"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 41,
"text": [
"<IPython.core.display.HTML at 0x109c3fb10>"
]
}
],
"prompt_number": 41
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# plot a stacked area chart\n",
"chart = nvd3.stackedAreaChart(name=\"Test_Stacked_Area\", height=350, x_is_date=True,\n",
" chart_options = [\"useInteractiveGuideline(true)\",\n",
" \"margin({right: 100})\",\n",
" \"rightAlignYAxis(true)\",\n",
" \"clipEdge(true)\"])\n",
"chart.set_containerheader(\"\\n\\n<h2>Stacked Area Chart</h2>\\n\\n\")\n",
"\n",
"\n",
"data = pd.read_json('stackedAreaData.json')\n",
"data = data.set_index('key')\n",
"\n",
"for index in data.index:\n",
" # convoluted array manipulations to access the data from nested lists stored in the JSON file\n",
" # amusingly, this will end up being parsed right back to the same format when it gets sent\n",
" # to the javascript\n",
" xdata = np.array(data.ix[index].values[0])[:,0]\n",
" ydata = np.array(data.ix[index].values[0])[:,1]\n",
" \n",
" chart.add_serie(name=index, y=ydata, x=xdata)\n",
"chart.buildhtml()\n",
"d.HTML( fix_html(chart.htmlcontent))"
],
"language": "python",
"metadata": {
"code_folding": []
},
"outputs": [
{
"html": [
"\n",
"<!DOCTYPE html>\n",
"<html lang=\"en\">\n",
"<head>\n",
"<link href=\"https://rawgithub.com/novus/nvd3/master/nv.d3.min.css\" rel=\"stylesheet\">\n",
"<script src=\"https://rawgithub.com/mbostock/d3/v3.3.8/d3.js\"></script>\n",
"<script src=\"https://raw.github.com/novus/nvd3/master/nv.d3.min.css\"></script>\n",
"\n",
"</head>\n",
"<body>\n",
"\n",
"\n",
"\n",
"<h2>Stacked Area Chart</h2>\n",
"\n",
"<div id=\"Test_Stacked_Area\"><svg style=\"height:350px;\"></svg></div>\n",
"\n",
"\n",
"<script>\n",
" nv.addGraph(function() {\n",
" var chart = nv.models.stackedAreaChart();\n",
" chart.xAxis\n",
" .tickFormat(function(d) { return d3.time.format('%d %b %Y')(new Date(parseInt(d))) }\n",
");\n",
" chart.yAxis\n",
" .tickFormat(d3.format(',.2f'));\n",
" chart.tooltipContent(function(key, y, e, graph) {\n",
" var x = d3.time.format('%d %b %Y')(new Date(parseInt(graph.point.x)));\n",
" var y = String(graph.point.y);\n",
"var y = String(graph.point.y);\n",
" tooltip_str = '<center><b>'+key+'</b></center>' + y + ' on ' + x;\n",
" return tooltip_str;\n",
" });\n",
" chart.showLegend(true);\n",
" chart.useInteractiveGuideline(true);\n",
" chart.margin({right: 100});\n",
" chart.rightAlignYAxis(true);\n",
" chart.clipEdge(true);\n",
" d3.select('#Test_Stacked_Area svg')\n",
" .datum(data_Test_Stacked_Area)\n",
" .transition().duration(500)\n",
" .attr('height', 350)\n",
" .call(chart);\n",
"\n",
" return chart;\n",
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"</script>\n",
"\n",
"</body>\n"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 42,
"text": [
"<IPython.core.display.HTML at 0x109bfd790>"
]
}
],
"prompt_number": 42
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import random\n",
" \n",
"type = \"scatterChart\"\n",
"chart2 = nvd3.scatterChart(name=type, height=350, x_is_date=False)\n",
"chart2.set_containerheader(\"\\n\\n<h2>\" + type + \"</h2>\\n\\n\")\n",
"nb_element = 50\n",
"xdata = [i + random.randint(1, 10) for i in range(nb_element)]\n",
"ydata = [i * random.randint(1, 10) for i in range(nb_element)]\n",
"ydata2 = [x * 2 for x in ydata]\n",
"ydata3 = [x * 5 for x in ydata]\n",
" \n",
"kwargs1 = {'shape': 'circle', 'size': '1'}\n",
"kwargs2 = {'shape': 'cross', 'size': '10'}\n",
"kwargs3 = {'shape': 'triangle-up', 'size': '100'}\n",
" \n",
"extra_serie = {\"tooltip\": {\"y_start\": \"\", \"y_end\": \" calls\"}}\n",
"chart2.add_serie(name=\"serie 1\", y=ydata, x=xdata, extra=extra_serie, **kwargs1)\n",
"chart2.add_serie(name=\"serie 2\", y=ydata2, x=xdata, extra=extra_serie, **kwargs2)\n",
"chart2.add_serie(name=\"serie 3\", y=ydata3, x=xdata, extra=extra_serie, **kwargs3)\n",
" \n",
"chart2.buildhtml()\n",
"# use IPython's HTML display to view the plot inline, but replace\n",
"# the Javascript import locations due to IPython 1.x's handling of\n",
"# file serving./bower_components/nvd3\n",
"d.HTML( fix_html(chart2.htmlcontent) )\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"\n",
"<!DOCTYPE html>\n",
"<html lang=\"en\">\n",
"<head>\n",
"<link href=\"https://rawgithub.com/novus/nvd3/master/nv.d3.min.css\" rel=\"stylesheet\">\n",
"<script src=\"https://rawgithub.com/mbostock/d3/v3.3.8/d3.js\"></script>\n",
"<script src=\"https://raw.github.com/novus/nvd3/master/nv.d3.min.css\"></script>\n",
"\n",
"</head>\n",
"<body>\n",
"\n",
"\n",
"\n",
"<h2>scatterChart</h2>\n",
"\n",
"<div id=\"scatterChart\"><svg style=\"height:350px;\"></svg></div>\n",
"\n",
"\n",
"<script>\n",
" nv.addGraph(function() {\n",
" var chart = nv.models.scatterChart()\n",
" .showDistX(true)\n",
" .showDistY(true)\n",
" .color(d3.scale.category10().range());\n",
" chart.xAxis\n",
" .tickFormat(d3.format(',.02f'));\n",
" chart.yAxis\n",
" .tickFormat(d3.format(',.02f'));\n",
" chart.tooltipContent(function(key, y, e, graph) {\n",
" var x = String(graph.point.x);\n",
" var y = String(graph.point.y);\n",
" if(key == 'serie 1'){\n",
" var y = String(graph.point.y) + ' calls';\n",
" }\n",
" if(key == 'serie 2'){\n",
" var y = String(graph.point.y) + ' calls';\n",
" }\n",
" if(key == 'serie 3'){\n",
" var y = String(graph.point.y) + ' calls';\n",
" }\n",
" tooltip_str = '<center><b>'+key+'</b></center>' + y + ' at ' + x;\n",
" return tooltip_str;\n",
" });\n",
" chart.showLegend(true);\n",
" d3.select('#scatterChart svg')\n",
" .datum(data_scatterChart)\n",
" .transition().duration(500)\n",
" .attr('height', 350)\n",
" .call(chart);\n",
"\n",
" return chart;\n",
"});data_scatterChart=[{\"values\": [{\"y\": 0, \"x\": 1, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 7, \"x\": 8, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 6, \"x\": 12, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 18, \"x\": 5, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 36, \"x\": 13, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 35, \"x\": 12, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 24, \"x\": 15, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 56, \"x\": 9, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 8, \"x\": 18, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 90, \"x\": 17, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 50, \"x\": 16, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 33, \"x\": 13, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 120, \"x\": 17, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 130, \"x\": 23, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 70, \"x\": 24, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 45, \"x\": 20, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 16, \"x\": 21, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 68, \"x\": 22, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 108, \"x\": 19, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 114, \"x\": 28, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 180, \"x\": 27, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 210, \"x\": 27, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 198, \"x\": 25, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 23, \"x\": 33, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 216, \"x\": 32, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 250, \"x\": 33, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 234, \"x\": 32, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 243, \"x\": 29, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 224, \"x\": 38, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 145, \"x\": 34, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 210, \"x\": 37, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 155, \"x\": 39, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 320, \"x\": 35, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 264, \"x\": 41, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 68, \"x\": 36, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 315, \"x\": 38, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 324, \"x\": 41, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 111, \"x\": 39, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 304, \"x\": 39, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 39, \"x\": 48, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 120, \"x\": 47, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 246, \"x\": 47, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 210, \"x\": 44, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 172, \"x\": 46, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 352, \"x\": 48, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 315, \"x\": 51, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 368, \"x\": 53, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 235, \"x\": 57, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 384, \"x\": 50, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 49, \"x\": 53, \"shape\": \"circle\", \"size\": \"1\"}], \"key\": \"serie 1\", \"yAxis\": \"1\"}, {\"values\": [{\"y\": 0, \"x\": 1, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 14, \"x\": 8, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 12, \"x\": 12, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 36, \"x\": 5, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 72, \"x\": 13, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 70, \"x\": 12, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 48, \"x\": 15, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 112, \"x\": 9, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 16, \"x\": 18, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 180, \"x\": 17, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 100, \"x\": 16, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 66, \"x\": 13, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 240, \"x\": 17, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 260, \"x\": 23, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 140, \"x\": 24, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 90, \"x\": 20, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 32, \"x\": 21, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 136, \"x\": 22, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 216, \"x\": 19, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 228, \"x\": 28, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 360, \"x\": 27, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 420, \"x\": 27, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 396, \"x\": 25, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 46, \"x\": 33, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 432, \"x\": 32, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 500, \"x\": 33, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 468, \"x\": 32, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 486, \"x\": 29, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 448, \"x\": 38, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 290, \"x\": 34, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 420, \"x\": 37, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 310, \"x\": 39, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 640, \"x\": 35, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 528, \"x\": 41, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 136, \"x\": 36, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 630, \"x\": 38, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 648, \"x\": 41, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 222, \"x\": 39, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 608, \"x\": 39, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 78, \"x\": 48, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 240, \"x\": 47, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 492, \"x\": 47, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 420, \"x\": 44, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 344, \"x\": 46, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 704, \"x\": 48, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 630, \"x\": 51, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 736, \"x\": 53, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 470, \"x\": 57, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 768, \"x\": 50, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 98, \"x\": 53, \"shape\": \"cross\", \"size\": \"10\"}], \"key\": \"serie 2\", \"yAxis\": \"1\"}, {\"values\": [{\"y\": 0, \"x\": 1, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 35, \"x\": 8, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 30, \"x\": 12, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 90, \"x\": 5, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 180, \"x\": 13, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 175, \"x\": 12, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 120, \"x\": 15, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 280, \"x\": 9, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 40, \"x\": 18, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 450, \"x\": 17, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 250, \"x\": 16, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 165, \"x\": 13, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 600, \"x\": 17, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 650, \"x\": 23, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 350, \"x\": 24, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 225, \"x\": 20, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 80, \"x\": 21, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 340, \"x\": 22, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 540, \"x\": 19, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 570, \"x\": 28, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 900, \"x\": 27, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1050, \"x\": 27, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 990, \"x\": 25, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 115, \"x\": 33, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1080, \"x\": 32, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1250, \"x\": 33, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1170, \"x\": 32, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1215, \"x\": 29, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1120, \"x\": 38, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 725, \"x\": 34, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1050, \"x\": 37, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 775, \"x\": 39, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1600, \"x\": 35, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1320, \"x\": 41, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 340, \"x\": 36, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1575, \"x\": 38, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1620, \"x\": 41, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 555, \"x\": 39, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1520, \"x\": 39, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 195, \"x\": 48, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 600, \"x\": 47, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1230, \"x\": 47, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1050, \"x\": 44, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 860, \"x\": 46, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1760, \"x\": 48, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1575, \"x\": 51, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1840, \"x\": 53, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1175, \"x\": 57, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1920, \"x\": 50, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 245, \"x\": 53, \"shape\": \"triangle-up\", \"size\": \"100\"}], \"key\": \"serie 3\", \"yAxis\": \"1\"}];\n",
"</script>\n",
"\n",
"</body>\n"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 43,
"text": [
"<IPython.core.display.HTML at 0x109c38110>"
]
}
],
"prompt_number": 43
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"type = 'pieChart'\n",
"chart1 = nvd3.pieChart(name=type, color_category='category20c', height=450, width=450)\n",
"chart1.set_containerheader(\"\\n\\n<h2>\" + type + \"</h2>\\n\\n\")\n",
"\n",
"#Create the keys\n",
"xdata = [\"Orange\", \"Banana\", \"Pear\", \"Kiwi\", \"Apple\", \"Strawberry\", \"Pineapple\"]\n",
"ydata = [3, 4, 0, 1, 5, 7, 3]\n",
"\n",
"#Add the serie\n",
"extra_serie = {\"tooltip\": {\"y_start\": \"\", \"y_end\": \" cal\"}}\n",
"chart1.add_serie(y=ydata, x=xdata, extra=extra_serie)\n",
"chart1.buildhtml()\n",
"\n",
"# use IPython's HTML display to view the plot inline, but replace\n",
"# the Javascript import locations due to IPython 1.x's handling of\n",
"# file serving.\n",
"d.HTML( fix_html(chart1.htmlcontent) )\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"\n",
"<!DOCTYPE html>\n",
"<html lang=\"en\">\n",
"<head>\n",
"<link href=\"https://rawgithub.com/novus/nvd3/master/nv.d3.min.css\" rel=\"stylesheet\">\n",
"<script src=\"https://rawgithub.com/mbostock/d3/v3.3.8/d3.js\"></script>\n",
"<script src=\"https://raw.github.com/novus/nvd3/master/nv.d3.min.css\"></script>\n",
"\n",
"</head>\n",
"<body>\n",
"\n",
"\n",
"\n",
"<h2>pieChart</h2>\n",
"\n",
"<div id=\"pieChart\"><svg style=\"width:450px;height:450px;\"></svg></div>\n",
"\n",
"\n",
"<script>\n",
" nv.addGraph(function() {\n",
" var chart = nv.models.pieChart();\n",
" chart.x(function(d) { return d.label })\n",
" .y(function(d) { return d.value });\n",
" chart.width(450);\n",
" chart.height(450);\n",
"\n",
" chart.tooltipContent(function(key, y, e, graph) {\n",
" var x = String(key);\n",
" var y = String(y) + ' cal';\n",
" tooltip_str = '<center><b>'+x+'</b></center>' + y;\n",
" return tooltip_str;\n",
" });\n",
" chart.showLegend(true);\n",
" chart.showLabels(true);\n",
" d3.select('#pieChart svg')\n",
" .datum(data_pieChart[0].values)\n",
" .transition().duration(500)\n",
" .attr('width', 450)\n",
".attr('height', 450)\n",
" .call(chart);\n",
"\n",
" return chart;\n",
"});data_pieChart=[{\"values\": [{\"value\": 3, \"label\": \"Orange\"}, {\"value\": 4, \"label\": \"Banana\"}, {\"value\": 0, \"label\": \"Pear\"}, {\"value\": 1, \"label\": \"Kiwi\"}, {\"value\": 5, \"label\": \"Apple\"}, {\"value\": 7, \"label\": \"Strawberry\"}, {\"value\": 3, \"label\": \"Pineapple\"}], \"key\": \"Serie 1\"}];\n",
"</script>\n",
"\n",
"</body>\n"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 44,
"text": [
"<IPython.core.display.HTML at 0x109d03fd0>"
]
}
],
"prompt_number": 44
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 44
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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