Created
July 13, 2014 23:36
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{ | |
"metadata": { | |
"name": "", | |
"signature": "sha256:0dc443944d01e70b187afc4d18c342b8e1edae8bd1e03b208ea017e08209bbf5" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import pandas as pd\n", | |
"import numpy as np\n", | |
"from IPython.display import display,Javascript,HTML" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 29 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"df = pd.DataFrame(columns=['x', 'y', 'z'])\n", | |
"df.x = np.arange(100)\n", | |
"df.y = np.sin(df.x*2*np.pi/10)\n", | |
"df.z = np.log(np.abs(df.y))" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 30 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"dfj = df.to_json()" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 31 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"html = \"\"\"\n", | |
"<script src=\"http://dygraphs.com/dygraph-combined.js\"></script>\n", | |
"<div id=\"dygraph\" style=\"width: 600px; height: 400px;\"></div>\n", | |
"\n", | |
"<script type=\"text/javascript\">\n", | |
"function convertToDataTable(d) {\n", | |
" var columns = _.keys(d);\n", | |
" columns.splice(columns.indexOf(\"x\"), 1);\n", | |
" var out = [];\n", | |
" for (var k in d['x']) {\n", | |
" var row = [d['x'][k]];\n", | |
" columns.forEach(function(col) {\n", | |
" row.push(d[col][k]);\n", | |
" });\n", | |
" out.push(row);\n", | |
" }\n", | |
" return {data:out, labels:['x'].concat(columns)};\n", | |
"}\n", | |
"\n", | |
"function handle_output(out) {\n", | |
" var json = out.content.data['text/plain'];\n", | |
" var data = JSON.parse(eval(json));\n", | |
" var tabular = convertToDataTable(data);\n", | |
" console.log(tabular)\n", | |
" g = new Dygraph(document.getElementById(\"dygraph\"), tabular.data, {\n", | |
" legend: 'always',\n", | |
" labels: tabular.labels\n", | |
" })\n", | |
"}\n", | |
"var kernel = IPython.notebook.kernel;\n", | |
"var callbacks = { 'iopub' : {'output' : handle_output}};\n", | |
"kernel.execute(\"dfj\", callbacks, {silent:false});\n", | |
"</script>\n", | |
"\"\"\"\n", | |
"\n", | |
"HTML(html)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"html": [ | |
"\n", | |
"<script src=\"http://dygraphs.com/dygraph-combined.js\"></script>\n", | |
"<div id=\"dygraph\" style=\"width: 600px; height: 400px;\"></div>\n", | |
"\n", | |
"<script type=\"text/javascript\">\n", | |
"function convertToDataTable(d) {\n", | |
" var columns = _.keys(d);\n", | |
" columns.splice(columns.indexOf(\"x\"), 1);\n", | |
" var out = [];\n", | |
" for (var k in d['x']) {\n", | |
" var row = [d['x'][k]];\n", | |
" columns.forEach(function(col) {\n", | |
" row.push(d[col][k]);\n", | |
" });\n", | |
" out.push(row);\n", | |
" }\n", | |
" return {data:out, labels:['x'].concat(columns)};\n", | |
"}\n", | |
"\n", | |
"function handle_output(out) {\n", | |
" var json = out.content.data['text/plain'];\n", | |
" var data = JSON.parse(eval(json));\n", | |
" var tabular = convertToDataTable(data);\n", | |
" console.log(tabular)\n", | |
" g = new Dygraph(document.getElementById(\"dygraph\"), tabular.data, {\n", | |
" legend: 'always',\n", | |
" labels: tabular.labels\n", | |
" })\n", | |
"}\n", | |
"var kernel = IPython.notebook.kernel;\n", | |
"var callbacks = { 'iopub' : {'output' : handle_output}};\n", | |
"kernel.execute(\"dfj\", callbacks, {silent:false});\n", | |
"</script>\n" | |
], | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 32, | |
"text": [ | |
"<IPython.core.display.HTML at 0x1133793d0>" | |
] | |
} | |
], | |
"prompt_number": 32 | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
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