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msund/gist:2876259bdff23164576c

Created January 27, 2015 07:09
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Mountains in 3D
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gistfile1.txt
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"input": [
"import plotly.plotly as py"
],
"language": "python",
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},
{
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"MattSundquist2509 = py.get_figure('https://plot.ly/~MattSundquist/2509')\n",
"MattSundquist2444 = py.get_figure('https://plot.ly/~MattSundquist/2444')\n",
"MattSundquist2160 = py.get_figure('https://plot.ly/~MattSundquist/2160/_2013')\n",
"MattSundquist6138 = py.get_figure('https://plot.ly/~MattSundquist/6138')"
],
"language": "python",
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},
{
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"input": [
"def set_scene_key(data, scene_key):\n",
" for trace in data:\n",
" trace.update({'scene': scene_key})\n",
" return [trace for trace in data]\n",
"\n",
"data = (\n",
" set_scene_key(MattSundquist2509['data'], 'scene') +\n",
" set_scene_key(MattSundquist2444['data'], 'scene2') +\n",
" set_scene_key(MattSundquist2160['data'], 'scene3') +\n",
" set_scene_key(MattSundquist6138['data'], 'scene4')\n",
")"
],
"language": "python",
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"prompt_number": 24
},
{
"cell_type": "code",
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"input": [
"def set_scene_domain(scene_layout, domain):\n",
" scene_layout.update({'domain': domain})\n",
" return scene_layout\n",
"\n",
"layout = dict(\n",
" title='3D graph Hall of Fame',\n",
" scene=set_scene_domain(MattSundquist2509['layout']['scene'], \n",
" {'x': [0,0.5], 'y':[0.5,1]}),\n",
" scene2=set_scene_domain(MattSundquist2444['layout']['scene'], \n",
" {'x': [0.5,1], 'y':[0.5,1]}),\n",
" scene3=set_scene_domain(MattSundquist2160['layout']['scene'], \n",
" {'x': [0,0.5], 'y':[0,0.5]}),\n",
" scene4=set_scene_domain(MattSundquist6138['layout']['scene'], \n",
" {'x': [0.5,1], 'y':[0,0.5]}),\n",
")"
],
"language": "python",
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},
{
"cell_type": "code",
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"input": [
"fig = dict(data=data, layout=layout)\n",
"py.iplot(fig, validate=False, filename='all-out-combo')"
],
"language": "python",
"metadata": {},
"outputs": [
{
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"html": [
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"prompt_number": 26,
"svg": [
"<!DOCTYPE html>\n",
"<html>\n",
"\tUh oh. Looks like an error occurred processing this request. We'll be working on fixing this. You can try again soon or contact us at feedback@plot.ly. Thanks for your patience and sorry for the delay. Happy plotting.\n",
"</html>\n"
],
"text": [
"<plotly.tools.PlotlyDisplay at 0x107d1cd90>"
]
}
],
"prompt_number": 26
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from IPython.display import display, HTML\n",
"import urllib2\n",
"url = 'https://raw.githubusercontent.com/plotly/python-user-guide/master/custom.css'\n",
"display(HTML(urllib2.urlopen(url).read()))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<style>\n",
" div.cell{\n",
" width: 850px;\n",
" margin-left: 10% !important;\n",
" margin-right: auto;\n",
" }\n",
" h1 {\n",
" font-family: \"Open sans\",verdana,arial,sans-serif;\n",
" }\n",
" .text_cell_render h1 {\n",
" font-weight: 200;\n",
" font-size: 40pt;\n",
" line-height: 100%;\n",
" color:#447adb;\n",
" margin-bottom: 0em;\n",
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" display: block;\n",
" white-space: nowrap;\n",
" } \n",
" h2 {\n",
" font-family: \"Open sans\",verdana,arial,sans-serif;\n",
" text-indent:1em;\n",
" }\n",
" .text_cell_render h2 {\n",
" font-weight: 200;\n",
" font-size: 20pt;\n",
" font-style: italic;\n",
" line-height: 100%;\n",
" color:#447adb;\n",
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" display: block;\n",
" white-space: nowrap;\n",
" } \n",
" h3 {\n",
" font-family: \"Open sans\",verdana,arial,sans-serif;\n",
" }\n",
" .text_cell_render h3 {\n",
" font-weight: 300;\n",
" font-size: 18pt;\n",
" line-height: 100%;\n",
" color:#447adb;\n",
" margin-bottom: 0.5em;\n",
" margin-top: 2em;\n",
" display: block;\n",
" white-space: nowrap;\n",
" }\n",
" h4 {\n",
" font-family: \"Open sans\",verdana,arial,sans-serif;\n",
" }\n",
" .text_cell_render h4 {\n",
" font-weight: 300;\n",
" font-size: 16pt;\n",
" color:#447adb;\n",
" margin-bottom: 0.5em;\n",
" margin-top: 0.5em;\n",
" display: block;\n",
" white-space: nowrap;\n",
" }\n",
" h5 {\n",
" font-family: \"Open sans\",verdana,arial,sans-serif;\n",
" }\n",
" .text_cell_render h5 {\n",
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" font-style: normal;\n",
" color: #1d3b84;\n",
" font-size: 16pt;\n",
" margin-bottom: 0em;\n",
" margin-top: 1.5em;\n",
" display: block;\n",
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" div.text_cell_render{\n",
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" line-height: 135%;\n",
" font-size: 125%;\n",
" width:750px;\n",
" margin-left:auto;\n",
" margin-right:auto;\n",
" text-align:justify;\n",
" text-justify:inter-word;\n",
" }\n",
" div.output_subarea.output_text.output_pyout {\n",
" overflow-x: auto;\n",
" overflow-y: scroll;\n",
" max-height: 300px;\n",
" }\n",
" div.output_subarea.output_stream.output_stdout.output_text {\n",
" overflow-x: auto;\n",
" overflow-y: scroll;\n",
" max-height: 300px;\n",
" }\n",
" div.output_subarea.output_html.rendered_html {\n",
" overflow-x: scroll;\n",
" max-width: 100%;\n",
" /* overflow-y: scroll; */\n",
" /* max-height: 300px; */\n",
" }\n",
" code{\n",
" font-size: 78%;\n",
" }\n",
" .rendered_html code{\n",
" background-color: transparent;\n",
" white-space: inherit; \n",
" }\n",
" ul{\n",
" /* color:#447adb; */ \n",
" margin: 2em;\n",
" }\n",
" ul li{\n",
" padding-left: 0.5em; \n",
" margin-bottom: 0.5em; \n",
" margin-top: 0.5em; \n",
" }\n",
" ul li li{\n",
" padding-left: 0.2em; \n",
" margin-bottom: 0.2em; \n",
" margin-top: 0.2em; \n",
" }\n",
" ol{\n",
" /* color:#447adb; */ \n",
" margin: 2em;\n",
" }\n",
" ol li{\n",
" padding-left: 0.5em; \n",
" margin-bottom: 0.5em; \n",
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" a:hover{\n",
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" a:active{\n",
" font-weight: bold;\n",
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" .rendered_html :link {\n",
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" }\n",
" .rendered_html :hover {\n",
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" .rendered_html :visited {\n",
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"</style>\n",
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" displayMath: [ [\"$$\",\"$$\"], [\"\\\\[\",\"\\\\]\"] ]\n",
" },\n",
" displayAlign: \"center\", // Change this to \"center\" to center equations.\n",
" \"HTML-CSS\": {\n",
" styles: {\".MathJax_Display\": {\"margin\": 4}}\n",
" }\n",
" });\n",
"</script>\n"
],
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"<IPython.core.display.HTML at 0x107d1cad0>"
]
}
],
"prompt_number": 27
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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