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| { | |
| "metadata": { | |
| "name": "", | |
| "signature": "sha256:5ad7f762e65176fc4319940032d1c0eb966cfa2b28c2b8cd558ad72236fbcdd8" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "<H2>nvd3 IPython integration demo</H2>\n", | |
| "\n", | |
| "For more information on nvd3, see https://github.com/areski/python-nvd3\n", | |
| "\n", | |
| "This notebook demonstrates simple ipython compatibility in the nvd3-python package, without making any\n", | |
| "major modifications to how the main package is structured. It utilizes the IPython display-formatter functionality, as described at:\n", | |
| "\n", | |
| "http://nbviewer.ipython.org/github/ipython/ipython/blob/master/examples/notebooks/Custom%20Display%20Logic.ipynb\n", | |
| "\n", | |
| "For additional examples, see:\n", | |
| "\n", | |
| "https://github.com/sympy/sympy/blob/master/sympy/interactive/printing.py\n", | |
| "\n", | |
| "Usage of nvd3-python in IPython notebook should be the same as any other IPython-aware display type. In any IPython interface which supports HTML views, nvd3-python will display nvd3 chart objects inline.\n" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import random\n", | |
| "from IPython import display as d\n", | |
| "import nvd3\n", | |
| "nvd3.ipynb.initialize_javascript(use_remote=True)" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "stream": "stdout", | |
| "text": [ | |
| "loaded nvd3 IPython extension\n", | |
| "run nvd3.IPython_wrapper.initialize_javascript() to set up the notebook\n", | |
| "help(nvd3.IPython_wrapper.initialize_javascript) for options\n" | |
| ] | |
| }, | |
| { | |
| "html": [ | |
| "<link media=\"all\" href=\"http://nvd3.org/assets/css/nv.d3.css\" type=\"text/css\" \n", | |
| " rel=\"stylesheet\"/>" | |
| ], | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "text": [ | |
| "<IPython.core.display.HTML at 0x10b59d510>" | |
| ] | |
| }, | |
| { | |
| "javascript": [ | |
| "$.getScript(\"http://nvd3.org/assets/js/nv.d3.js\")" | |
| ], | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "text": [ | |
| "<IPython.core.display.Javascript at 0x10b59d510>" | |
| ] | |
| }, | |
| { | |
| "javascript": [ | |
| "$.getScript(\"http://nvd3.org/assets/lib/d3.v3.js\", function() {\n", | |
| " $.getScript(\"http://nvd3.org/assets/js/nv.d3.js\", function() {})});" | |
| ], | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "text": [ | |
| "<IPython.core.display.Javascript at 0x10b59d510>" | |
| ] | |
| }, | |
| { | |
| "html": [ | |
| "<script src=\"http://nvd3.org/assets/lib/d3.v3.js\"></script>" | |
| ], | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "text": [ | |
| "<IPython.core.display.HTML at 0x10b59d510>" | |
| ] | |
| }, | |
| { | |
| "html": [ | |
| "<script src=\"http://nvd3.org/assets/js/nv.d3.js\"></script>" | |
| ], | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "text": [ | |
| "<IPython.core.display.HTML at 0x10b59d510>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 1 | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "Note that the javascript packages for display of nvd3 charts must be loaded into the IPython notebook before charts will display. By default, these are loaded from http://notebook-hostname:port/files/ - this is the default location where IPython 1.x serves files that are in the local working directory. For normal usage, the preferred approach is to download d3.v3.js, nv.d3.js, and nv.d3.css and place them in your notebook working directory.\n", | |
| "\n", | |
| "However, if we want the notebook to display correctly when using http://nbviewer.ipython.org we must point to remotely hosted versions of the nvd3 and d3 javascript and css files. Use_remote=true does just this, with the additional capability to individually define the URLs for each file (or use the defaults)." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "help(nvd3.ipynb.initialize_javascript)\n", | |
| "nvd3.ipynb.initialize_javascript(use_remote=True)" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "stream": "stdout", | |
| "text": [ | |
| "Help on function initialize_javascript in module nvd3.ipynb:\n", | |
| "\n", | |
| "initialize_javascript(d3_js_url='http://nvd3.org/assets/lib/d3.v3.js', nvd3_js_url='http://nvd3.org/assets/js/nv.d3.js', nvd3_css_url='http://nvd3.org/assets/css/nv.d3.css', use_remote=False)\n", | |
| " Initialize the ipython notebook to be able to display nvd3 results.\n", | |
| " by instructing IPython to load the nvd3 JS and css files, and the d3 JS file.\n", | |
| " \n", | |
| " by default, it looks for the files in your IPython Notebook working directory.\n", | |
| " \n", | |
| " Takes the following options:\n", | |
| " \n", | |
| " use_remote: use remote hosts for d3.js, nvd3.js, and nv.d3.css (default False)\n", | |
| " * Note: the following options are ignored if use_remote is False:\n", | |
| " nvd3_css_url: location of nvd3 css file (default http://nvd3.org/assets/css/nv.d3.css)\n", | |
| " nvd3_js_url: location of nvd3 javascript file (default http://nvd3.org/assets/js/nv.d3.js)\n", | |
| " nvds_url: location of d3 javascript file (default http://nvd3.org/assets/lib/d3.v3.js)\n", | |
| "\n" | |
| ] | |
| }, | |
| { | |
| "html": [ | |
| "<link media=\"all\" href=\"http://nvd3.org/assets/css/nv.d3.css\" type=\"text/css\" \n", | |
| " rel=\"stylesheet\"/>" | |
| ], | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "text": [ | |
| "<IPython.core.display.HTML at 0x10c41efd0>" | |
| ] | |
| }, | |
| { | |
| "javascript": [ | |
| "$.getScript(\"http://nvd3.org/assets/js/nv.d3.js\")" | |
| ], | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "text": [ | |
| "<IPython.core.display.Javascript at 0x10c41efd0>" | |
| ] | |
| }, | |
| { | |
| "javascript": [ | |
| "$.getScript(\"http://nvd3.org/assets/lib/d3.v3.js\", function() {\n", | |
| " $.getScript(\"http://nvd3.org/assets/js/nv.d3.js\", function() {})});" | |
| ], | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "text": [ | |
| "<IPython.core.display.Javascript at 0x10c41efd0>" | |
| ] | |
| }, | |
| { | |
| "html": [ | |
| "<script src=\"http://nvd3.org/assets/lib/d3.v3.js\"></script>" | |
| ], | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "text": [ | |
| "<IPython.core.display.HTML at 0x10c41efd0>" | |
| ] | |
| }, | |
| { | |
| "html": [ | |
| "<script src=\"http://nvd3.org/assets/js/nv.d3.js\"></script>" | |
| ], | |
| "metadata": {}, | |
| "output_type": "display_data", | |
| "text": [ | |
| "<IPython.core.display.HTML at 0x10c41efd0>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 2 | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "** Stacked Area Chart **\n", | |
| "\n", | |
| "Here, we create a simple stacked area chart.\n", | |
| "\n", | |
| "Note that there is a potential bug with ipython display of the interactive guideline - the amount of space <i>above</i> the chart affects the placement of the tooltip when viewed in IPython notebook. A simple workaround is to display the chart at the top of the notebook, rather than lower like we see here." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "type = 'stackedAreaChart'\n", | |
| "chart2 = nvd3.stackedAreaChart(name=type,height=450,use_interactive_guideline=True)\n", | |
| "nb_element = 50\n", | |
| "xdata = 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", | |
| "chart2.add_serie(name=\"serie 1\", y=ydata, x=xdata)\n", | |
| "chart2.add_serie(name=\"serie 2\", y=ydata2, x=xdata)\n", | |
| "chart2.add_serie(name=\"serie 3\", y=ydata3, x=xdata)\n", | |
| "chart2\n" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": [ | |
| "<div id=\"stackedAreaChart\"><svg style=\"height:450px;\"></svg></div>\n", | |
| "\n", | |
| "<script>\n", | |
| " nv.addGraph(function() {\n", | |
| " var chart = nv.models.stackedAreaChart().useInteractiveGuideline(true);\n", | |
| " chart.margin({top: 30, right: 60, bottom: 20, left: 60})\n", | |
| " chart.xAxis\n", | |
| " .tickFormat(d3.format(',.2f'));\n", | |
| " chart.yAxis\n", | |
| " .tickFormat(d3.format(',.2f'));\n", | |
| " chart.showLegend(true);\n", | |
| " d3.select('#stackedAreaChart svg')\n", | |
| " .datum(data_stackedAreaChart)\n", | |
| " .transition().duration(500)\n", | |
| " .attr('height', 450)\n", | |
| " .call(chart);\n", | |
| "\n", | |
| " return chart;\n", | |
| "});data_stackedAreaChart=[{\"values\": [{\"y\": 0, \"x\": 0}, {\"y\": 6, \"x\": 1}, {\"y\": 18, \"x\": 2}, {\"y\": 18, \"x\": 3}, {\"y\": 16, \"x\": 4}, {\"y\": 35, \"x\": 5}, {\"y\": 24, \"x\": 6}, {\"y\": 63, \"x\": 7}, {\"y\": 16, \"x\": 8}, {\"y\": 27, \"x\": 9}, {\"y\": 90, \"x\": 10}, {\"y\": 99, \"x\": 11}, {\"y\": 12, \"x\": 12}, {\"y\": 78, \"x\": 13}, {\"y\": 28, \"x\": 14}, {\"y\": 90, \"x\": 15}, {\"y\": 112, \"x\": 16}, {\"y\": 51, \"x\": 17}, {\"y\": 36, \"x\": 18}, {\"y\": 133, \"x\": 19}, {\"y\": 200, \"x\": 20}, {\"y\": 63, \"x\": 21}, {\"y\": 176, \"x\": 22}, {\"y\": 161, \"x\": 23}, {\"y\": 96, \"x\": 24}, {\"y\": 200, \"x\": 25}, {\"y\": 182, \"x\": 26}, {\"y\": 243, \"x\": 27}, {\"y\": 280, \"x\": 28}, {\"y\": 29, \"x\": 29}, {\"y\": 240, \"x\": 30}, {\"y\": 31, \"x\": 31}, {\"y\": 320, \"x\": 32}, {\"y\": 264, \"x\": 33}, {\"y\": 272, \"x\": 34}, {\"y\": 245, \"x\": 35}, {\"y\": 288, \"x\": 36}, {\"y\": 333, \"x\": 37}, {\"y\": 342, \"x\": 38}, {\"y\": 234, \"x\": 39}, {\"y\": 120, \"x\": 40}, {\"y\": 164, \"x\": 41}, {\"y\": 42, \"x\": 42}, {\"y\": 301, \"x\": 43}, {\"y\": 220, \"x\": 44}, {\"y\": 450, \"x\": 45}, {\"y\": 368, \"x\": 46}, {\"y\": 94, \"x\": 47}, {\"y\": 480, \"x\": 48}, {\"y\": 490, \"x\": 49}], \"key\": \"serie 1\", \"yAxis\": \"1\"}, {\"values\": [{\"y\": 0, \"x\": 0}, {\"y\": 12, \"x\": 1}, {\"y\": 36, \"x\": 2}, {\"y\": 36, \"x\": 3}, {\"y\": 32, \"x\": 4}, {\"y\": 70, \"x\": 5}, {\"y\": 48, \"x\": 6}, {\"y\": 126, \"x\": 7}, {\"y\": 32, \"x\": 8}, {\"y\": 54, \"x\": 9}, {\"y\": 180, \"x\": 10}, {\"y\": 198, \"x\": 11}, {\"y\": 24, \"x\": 12}, {\"y\": 156, \"x\": 13}, {\"y\": 56, \"x\": 14}, {\"y\": 180, \"x\": 15}, {\"y\": 224, \"x\": 16}, {\"y\": 102, \"x\": 17}, {\"y\": 72, \"x\": 18}, {\"y\": 266, \"x\": 19}, {\"y\": 400, \"x\": 20}, {\"y\": 126, \"x\": 21}, {\"y\": 352, \"x\": 22}, {\"y\": 322, \"x\": 23}, {\"y\": 192, \"x\": 24}, {\"y\": 400, \"x\": 25}, {\"y\": 364, \"x\": 26}, {\"y\": 486, \"x\": 27}, {\"y\": 560, \"x\": 28}, {\"y\": 58, \"x\": 29}, {\"y\": 480, \"x\": 30}, {\"y\": 62, \"x\": 31}, {\"y\": 640, \"x\": 32}, {\"y\": 528, \"x\": 33}, {\"y\": 544, \"x\": 34}, {\"y\": 490, \"x\": 35}, {\"y\": 576, \"x\": 36}, {\"y\": 666, \"x\": 37}, {\"y\": 684, \"x\": 38}, {\"y\": 468, \"x\": 39}, {\"y\": 240, \"x\": 40}, {\"y\": 328, \"x\": 41}, {\"y\": 84, \"x\": 42}, {\"y\": 602, \"x\": 43}, {\"y\": 440, \"x\": 44}, {\"y\": 900, \"x\": 45}, {\"y\": 736, \"x\": 46}, {\"y\": 188, \"x\": 47}, {\"y\": 960, \"x\": 48}, {\"y\": 980, \"x\": 49}], \"key\": \"serie 2\", \"yAxis\": \"1\"}, {\"values\": [{\"y\": 0, \"x\": 0}, {\"y\": 30, \"x\": 1}, {\"y\": 90, \"x\": 2}, {\"y\": 90, \"x\": 3}, {\"y\": 80, \"x\": 4}, {\"y\": 175, \"x\": 5}, {\"y\": 120, \"x\": 6}, {\"y\": 315, \"x\": 7}, {\"y\": 80, \"x\": 8}, {\"y\": 135, \"x\": 9}, {\"y\": 450, \"x\": 10}, {\"y\": 495, \"x\": 11}, {\"y\": 60, \"x\": 12}, {\"y\": 390, \"x\": 13}, {\"y\": 140, \"x\": 14}, {\"y\": 450, \"x\": 15}, {\"y\": 560, \"x\": 16}, {\"y\": 255, \"x\": 17}, {\"y\": 180, \"x\": 18}, {\"y\": 665, \"x\": 19}, {\"y\": 1000, \"x\": 20}, {\"y\": 315, \"x\": 21}, {\"y\": 880, \"x\": 22}, {\"y\": 805, \"x\": 23}, {\"y\": 480, \"x\": 24}, {\"y\": 1000, \"x\": 25}, {\"y\": 910, \"x\": 26}, {\"y\": 1215, \"x\": 27}, {\"y\": 1400, \"x\": 28}, {\"y\": 145, \"x\": 29}, {\"y\": 1200, \"x\": 30}, {\"y\": 155, \"x\": 31}, {\"y\": 1600, \"x\": 32}, {\"y\": 1320, \"x\": 33}, {\"y\": 1360, \"x\": 34}, {\"y\": 1225, \"x\": 35}, {\"y\": 1440, \"x\": 36}, {\"y\": 1665, \"x\": 37}, {\"y\": 1710, \"x\": 38}, {\"y\": 1170, \"x\": 39}, {\"y\": 600, \"x\": 40}, {\"y\": 820, \"x\": 41}, {\"y\": 210, \"x\": 42}, {\"y\": 1505, \"x\": 43}, {\"y\": 1100, \"x\": 44}, {\"y\": 2250, \"x\": 45}, {\"y\": 1840, \"x\": 46}, {\"y\": 470, \"x\": 47}, {\"y\": 2400, \"x\": 48}, {\"y\": 2450, \"x\": 49}], \"key\": \"serie 3\", \"yAxis\": \"1\"}];\n", | |
| "</script>" | |
| ], | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 3, | |
| "text": [ | |
| "<nvd3.stackedAreaChart.stackedAreaChart instance at 0x10b586ef0>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 3 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "chart = nvd3.scatterChart(name='scatterChart_1', width=600, height=300, x_is_date=False)\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", | |
| "chart.add_serie(name=\"serie 1\", y=ydata, x=xdata, extra=extra_serie, **kwargs1)\n", | |
| "chart.add_serie(name=\"serie 2\", y=ydata2, x=xdata, extra=extra_serie, **kwargs2)\n", | |
| "chart.add_serie(name=\"serie 3\", y=ydata3, x=xdata, extra=extra_serie, **kwargs3)\n", | |
| "chart" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": [ | |
| "<div id=\"scatterChart_1\"><svg style=\"width:600px;height:300px;\"></svg></div>\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.margin({top: 30, right: 60, bottom: 20, left: 60})\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.scatter.onlyCircles(false); chart.showLegend(true);\n", | |
| " d3.select('#scatterChart_1 svg')\n", | |
| " .datum(data_scatterChart_1)\n", | |
| " .transition().duration(500)\n", | |
| " .attr('width', 600)\n", | |
| ".attr('height', 300)\n", | |
| " .call(chart);\n", | |
| "\n", | |
| " return chart;\n", | |
| "});data_scatterChart_1=[{\"values\": [{\"y\": 0, \"x\": 10, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 6, \"x\": 11, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 20, \"x\": 9, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 3, \"x\": 13, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 40, \"x\": 13, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 15, \"x\": 12, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 30, \"x\": 13, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 35, \"x\": 14, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 40, \"x\": 14, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 72, \"x\": 14, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 20, \"x\": 20, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 33, \"x\": 13, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 12, \"x\": 14, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 13, \"x\": 23, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 140, \"x\": 21, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 60, \"x\": 25, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 48, \"x\": 21, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 51, \"x\": 19, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 90, \"x\": 26, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 114, \"x\": 25, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 140, \"x\": 30, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 105, \"x\": 23, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 88, \"x\": 32, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 161, \"x\": 27, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 144, \"x\": 34, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 25, \"x\": 30, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 208, \"x\": 34, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 243, \"x\": 29, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 280, \"x\": 30, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 290, \"x\": 35, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 210, \"x\": 31, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 155, \"x\": 37, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 64, \"x\": 33, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 198, \"x\": 41, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 204, \"x\": 40, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 315, \"x\": 44, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 360, \"x\": 41, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 148, \"x\": 40, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 152, \"x\": 43, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 39, \"x\": 43, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 320, \"x\": 44, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 123, \"x\": 50, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 336, \"x\": 50, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 43, \"x\": 49, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 308, \"x\": 53, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 315, \"x\": 54, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 92, \"x\": 51, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 235, \"x\": 48, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 336, \"x\": 57, \"shape\": \"circle\", \"size\": \"1\"}, {\"y\": 196, \"x\": 50, \"shape\": \"circle\", \"size\": \"1\"}], \"key\": \"serie 1\", \"yAxis\": \"1\"}, {\"values\": [{\"y\": 0, \"x\": 10, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 12, \"x\": 11, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 40, \"x\": 9, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 6, \"x\": 13, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 80, \"x\": 13, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 30, \"x\": 12, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 60, \"x\": 13, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 70, \"x\": 14, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 80, \"x\": 14, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 144, \"x\": 14, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 40, \"x\": 20, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 66, \"x\": 13, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 24, \"x\": 14, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 26, \"x\": 23, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 280, \"x\": 21, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 120, \"x\": 25, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 96, \"x\": 21, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 102, \"x\": 19, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 180, \"x\": 26, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 228, \"x\": 25, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 280, \"x\": 30, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 210, \"x\": 23, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 176, \"x\": 32, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 322, \"x\": 27, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 288, \"x\": 34, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 50, \"x\": 30, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 416, \"x\": 34, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 486, \"x\": 29, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 560, \"x\": 30, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 580, \"x\": 35, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 420, \"x\": 31, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 310, \"x\": 37, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 128, \"x\": 33, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 396, \"x\": 41, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 408, \"x\": 40, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 630, \"x\": 44, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 720, \"x\": 41, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 296, \"x\": 40, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 304, \"x\": 43, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 78, \"x\": 43, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 640, \"x\": 44, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 246, \"x\": 50, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 672, \"x\": 50, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 86, \"x\": 49, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 616, \"x\": 53, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 630, \"x\": 54, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 184, \"x\": 51, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 470, \"x\": 48, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 672, \"x\": 57, \"shape\": \"cross\", \"size\": \"10\"}, {\"y\": 392, \"x\": 50, \"shape\": \"cross\", \"size\": \"10\"}], \"key\": \"serie 2\", \"yAxis\": \"1\"}, {\"values\": [{\"y\": 0, \"x\": 10, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 30, \"x\": 11, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 100, \"x\": 9, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 15, \"x\": 13, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 200, \"x\": 13, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 75, \"x\": 12, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 150, \"x\": 13, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 175, \"x\": 14, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 200, \"x\": 14, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 360, \"x\": 14, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 100, \"x\": 20, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 165, \"x\": 13, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 60, \"x\": 14, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 65, \"x\": 23, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 700, \"x\": 21, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 300, \"x\": 25, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 240, \"x\": 21, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 255, \"x\": 19, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 450, \"x\": 26, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 570, \"x\": 25, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 700, \"x\": 30, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 525, \"x\": 23, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 440, \"x\": 32, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 805, \"x\": 27, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 720, \"x\": 34, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 125, \"x\": 30, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1040, \"x\": 34, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1215, \"x\": 29, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1400, \"x\": 30, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1450, \"x\": 35, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1050, \"x\": 31, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 775, \"x\": 37, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 320, \"x\": 33, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 990, \"x\": 41, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1020, \"x\": 40, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1575, \"x\": 44, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1800, \"x\": 41, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 740, \"x\": 40, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 760, \"x\": 43, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 195, \"x\": 43, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1600, \"x\": 44, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 615, \"x\": 50, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1680, \"x\": 50, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 215, \"x\": 49, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1540, \"x\": 53, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1575, \"x\": 54, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 460, \"x\": 51, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1175, \"x\": 48, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 1680, \"x\": 57, \"shape\": \"triangle-up\", \"size\": \"100\"}, {\"y\": 980, \"x\": 50, \"shape\": \"triangle-up\", \"size\": \"100\"}], \"key\": \"serie 3\", \"yAxis\": \"1\"}];\n", | |
| "</script>" | |
| ], | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 4, | |
| "text": [ | |
| "<nvd3.scatterChart.scatterChart instance at 0x10c42add0>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 4 | |
| }, | |
| { | |
| "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" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": [ | |
| "\n", | |
| "\n", | |
| "<h2>pieChart</h2>\n", | |
| "\n", | |
| "<div id=\"pieChart\"><svg style=\"width:450px;height:450px;\"></svg></div>\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.margin({top: 30, right: 60, bottom: 20, left: 60})\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>" | |
| ], | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 5, | |
| "text": [ | |
| "<nvd3.pieChart.pieChart instance at 0x10b5869e0>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 5 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "chart3=nvd3.lineWithFocusChart(name=\"focusChart\",height=450)\n", | |
| "nb_element = 100\n", | |
| "xdata = range(nb_element)\n", | |
| "ydata = [i * random.randint(1, 10) for i in range(nb_element)]\n", | |
| "chart3.add_serie(x=xdata,y=ydata,name=\"random data\")\n", | |
| "chart3" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": [ | |
| "<div id=\"focusChart\"><svg style=\"height:450px;\"></svg></div>\n", | |
| "\n", | |
| "<script>\n", | |
| " nv.addGraph(function() {\n", | |
| " var chart = nv.models.lineWithFocusChart();\n", | |
| " chart.margin({top: 30, right: 60, bottom: 20, left: 60})\n", | |
| " chart.yAxis\n", | |
| " .tickFormat(d3.format(',.2f'));\n", | |
| " chart.y2Axis\n", | |
| " .tickFormat(d3.format(',.2f'));\n", | |
| " chart.xAxis\n", | |
| " .tickFormat(d3.format(',.2f'));\n", | |
| " chart.x2Axis\n", | |
| " .tickFormat(d3.format(',.2f'));\n", | |
| " chart.showLegend(true);\n", | |
| " d3.select('#focusChart svg')\n", | |
| " .datum(data_focusChart)\n", | |
| " .transition().duration(500)\n", | |
| " .attr('height', 450)\n", | |
| " .call(chart);\n", | |
| "\n", | |
| " return chart;\n", | |
| "});data_focusChart=[{\"values\": [{\"y\": 0, \"x\": 0}, {\"y\": 3, \"x\": 1}, {\"y\": 2, \"x\": 2}, {\"y\": 9, \"x\": 3}, {\"y\": 20, \"x\": 4}, {\"y\": 30, \"x\": 5}, {\"y\": 12, \"x\": 6}, {\"y\": 28, \"x\": 7}, {\"y\": 8, \"x\": 8}, {\"y\": 72, \"x\": 9}, {\"y\": 10, \"x\": 10}, {\"y\": 110, \"x\": 11}, {\"y\": 36, \"x\": 12}, {\"y\": 13, \"x\": 13}, {\"y\": 14, \"x\": 14}, {\"y\": 105, \"x\": 15}, {\"y\": 96, \"x\": 16}, {\"y\": 153, \"x\": 17}, {\"y\": 18, \"x\": 18}, {\"y\": 152, \"x\": 19}, {\"y\": 120, \"x\": 20}, {\"y\": 126, \"x\": 21}, {\"y\": 132, \"x\": 22}, {\"y\": 184, \"x\": 23}, {\"y\": 144, \"x\": 24}, {\"y\": 200, \"x\": 25}, {\"y\": 182, \"x\": 26}, {\"y\": 108, \"x\": 27}, {\"y\": 252, \"x\": 28}, {\"y\": 290, \"x\": 29}, {\"y\": 210, \"x\": 30}, {\"y\": 155, \"x\": 31}, {\"y\": 224, \"x\": 32}, {\"y\": 198, \"x\": 33}, {\"y\": 68, \"x\": 34}, {\"y\": 280, \"x\": 35}, {\"y\": 36, \"x\": 36}, {\"y\": 333, \"x\": 37}, {\"y\": 266, \"x\": 38}, {\"y\": 234, \"x\": 39}, {\"y\": 40, \"x\": 40}, {\"y\": 164, \"x\": 41}, {\"y\": 42, \"x\": 42}, {\"y\": 43, \"x\": 43}, {\"y\": 308, \"x\": 44}, {\"y\": 270, \"x\": 45}, {\"y\": 46, \"x\": 46}, {\"y\": 235, \"x\": 47}, {\"y\": 48, \"x\": 48}, {\"y\": 441, \"x\": 49}, {\"y\": 50, \"x\": 50}, {\"y\": 408, \"x\": 51}, {\"y\": 312, \"x\": 52}, {\"y\": 106, \"x\": 53}, {\"y\": 216, \"x\": 54}, {\"y\": 275, \"x\": 55}, {\"y\": 280, \"x\": 56}, {\"y\": 570, \"x\": 57}, {\"y\": 348, \"x\": 58}, {\"y\": 413, \"x\": 59}, {\"y\": 240, \"x\": 60}, {\"y\": 488, \"x\": 61}, {\"y\": 620, \"x\": 62}, {\"y\": 504, \"x\": 63}, {\"y\": 512, \"x\": 64}, {\"y\": 390, \"x\": 65}, {\"y\": 330, \"x\": 66}, {\"y\": 469, \"x\": 67}, {\"y\": 136, \"x\": 68}, {\"y\": 483, \"x\": 69}, {\"y\": 70, \"x\": 70}, {\"y\": 213, \"x\": 71}, {\"y\": 360, \"x\": 72}, {\"y\": 146, \"x\": 73}, {\"y\": 148, \"x\": 74}, {\"y\": 450, \"x\": 75}, {\"y\": 152, \"x\": 76}, {\"y\": 539, \"x\": 77}, {\"y\": 702, \"x\": 78}, {\"y\": 553, \"x\": 79}, {\"y\": 240, \"x\": 80}, {\"y\": 810, \"x\": 81}, {\"y\": 328, \"x\": 82}, {\"y\": 664, \"x\": 83}, {\"y\": 252, \"x\": 84}, {\"y\": 680, \"x\": 85}, {\"y\": 774, \"x\": 86}, {\"y\": 261, \"x\": 87}, {\"y\": 792, \"x\": 88}, {\"y\": 534, \"x\": 89}, {\"y\": 180, \"x\": 90}, {\"y\": 182, \"x\": 91}, {\"y\": 920, \"x\": 92}, {\"y\": 837, \"x\": 93}, {\"y\": 940, \"x\": 94}, {\"y\": 475, \"x\": 95}, {\"y\": 192, \"x\": 96}, {\"y\": 679, \"x\": 97}, {\"y\": 882, \"x\": 98}, {\"y\": 891, \"x\": 99}], \"key\": \"random data\", \"yAxis\": \"1\"}];\n", | |
| "</script>" | |
| ], | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 6, | |
| "text": [ | |
| "<nvd3.lineWithFocusChart.lineWithFocusChart instance at 0x10b58de18>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 6 | |
| }, | |
| { | |
| "cell_type": "code", | |
| "collapsed": false, | |
| "input": [ | |
| "import numpy\n", | |
| "chart4 = nvd3.multiBarChart(name=\"multiBarChart\",height=450)\n", | |
| "max_value = 8\n", | |
| "data1 = numpy.random.normal(loc=max_value/2,scale=max_value/6,size=1000)\n", | |
| "hist1 = numpy.histogram(data1,bins=100)\n", | |
| "xdata1 = hist1[1].tolist()\n", | |
| "ydata1 = hist1[0].tolist()\n", | |
| "\n", | |
| "data2 = numpy.random.gamma(shape=2., scale=1., size=1000)\n", | |
| "hist2 = numpy.histogram(data2,bins=xdata1)\n", | |
| "xdata2 = hist2[1].tolist()\n", | |
| "ydata2 = hist2[0].tolist()\n", | |
| "chart4.add_serie(x=xdata1,y=ydata1,name=\"Normal Distribution\")\n", | |
| "chart4.add_serie(x=xdata2,y=ydata2,name=\"Gamma Distribution\")\n", | |
| "chart4" | |
| ], | |
| "language": "python", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "html": [ | |
| "<div id=\"multiBarChart\"><svg style=\"height:450px;\"></svg></div>\n", | |
| "\n", | |
| "<script>\n", | |
| " nv.addGraph(function() {\n", | |
| " var chart = nv.models.multiBarChart();\n", | |
| " chart.margin({top: 30, right: 60, bottom: 20, left: 60})\n", | |
| " chart.xAxis\n", | |
| " .tickFormat(d3.format(',.2f'));\n", | |
| " chart.yAxis\n", | |
| " .tickFormat(d3.format(',.2f'));\n", | |
| " chart.showLegend(true);\n", | |
| " d3.select('#multiBarChart svg')\n", | |
| " .datum(data_multiBarChart)\n", | |
| " .transition().duration(500)\n", | |
| " .attr('height', 450)\n", | |
| " .call(chart);\n", | |
| "\n", | |
| " return chart;\n", | |
| "});data_multiBarChart=[{\"values\": [{\"y\": 1, \"x\": 0.927425319820153}, {\"y\": 0, \"x\": 0.9914769378994736}, {\"y\": 0, \"x\": 1.0555285559787941}, {\"y\": 2, \"x\": 1.1195801740581148}, {\"y\": 1, \"x\": 1.1836317921374353}, {\"y\": 0, \"x\": 1.247683410216756}, {\"y\": 0, \"x\": 1.3117350282960767}, {\"y\": 1, \"x\": 1.3757866463753972}, {\"y\": 1, \"x\": 1.4398382644547176}, {\"y\": 1, \"x\": 1.5038898825340383}, {\"y\": 1, \"x\": 1.567941500613359}, {\"y\": 2, \"x\": 1.6319931186926795}, {\"y\": 3, \"x\": 1.6960447367720002}, {\"y\": 5, \"x\": 1.7600963548513207}, {\"y\": 2, \"x\": 1.8241479729306413}, {\"y\": 3, \"x\": 1.888199591009962}, {\"y\": 3, \"x\": 1.9522512090892825}, {\"y\": 2, \"x\": 2.0163028271686034}, {\"y\": 5, \"x\": 2.0803544452479237}, {\"y\": 5, \"x\": 2.1444060633272444}, {\"y\": 7, \"x\": 2.208457681406565}, {\"y\": 6, \"x\": 2.2725092994858853}, {\"y\": 5, \"x\": 2.336560917565206}, {\"y\": 8, \"x\": 2.4006125356445267}, {\"y\": 5, \"x\": 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{\"values\": [{\"y\": 26, \"x\": 0.927425319820153}, {\"y\": 26, \"x\": 0.9914769378994736}, {\"y\": 23, \"x\": 1.0555285559787941}, {\"y\": 14, \"x\": 1.1195801740581148}, {\"y\": 13, \"x\": 1.1836317921374353}, {\"y\": 38, \"x\": 1.247683410216756}, {\"y\": 23, \"x\": 1.3117350282960767}, {\"y\": 14, \"x\": 1.3757866463753972}, {\"y\": 17, \"x\": 1.4398382644547176}, {\"y\": 23, \"x\": 1.5038898825340383}, {\"y\": 25, \"x\": 1.567941500613359}, {\"y\": 17, \"x\": 1.6319931186926795}, {\"y\": 18, \"x\": 1.6960447367720002}, {\"y\": 27, \"x\": 1.7600963548513207}, {\"y\": 17, \"x\": 1.8241479729306413}, {\"y\": 15, \"x\": 1.888199591009962}, {\"y\": 23, \"x\": 1.9522512090892825}, {\"y\": 15, \"x\": 2.0163028271686034}, {\"y\": 15, \"x\": 2.0803544452479237}, {\"y\": 10, \"x\": 2.1444060633272444}, {\"y\": 15, \"x\": 2.208457681406565}, {\"y\": 11, \"x\": 2.2725092994858853}, {\"y\": 16, \"x\": 2.336560917565206}, {\"y\": 11, \"x\": 2.4006125356445267}, {\"y\": 12, \"x\": 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| "</script>" | |
| ], | |
| "metadata": {}, | |
| "output_type": "pyout", | |
| "prompt_number": 7, | |
| "text": [ | |
| "<nvd3.multiBarChart.multiBarChart instance at 0x10c438ef0>" | |
| ] | |
| } | |
| ], | |
| "prompt_number": 7 | |
| } | |
| ], | |
| "metadata": {} | |
| } | |
| ] | |
| } |
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