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DougBurke/svg-plots.ipynb

Created February 11, 2014 01:20
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svg-plots.ipynb
{
"metadata": {
"language": "haskell",
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
":opt svg"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import IHaskell.Display\n",
"\n",
"import Graphics.Rendering.Chart\n",
"import Data.Default.Class\n",
"import Control.Lens\n",
"\n",
"import Data.Colour\n",
"import Data.Colour.Names"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x = [2, 10, 15]\n",
"y = [10, 2, 20]\n",
"ps = zip x y\n",
"\n",
"asLine = plot_lines_style .~ solidLine 1 (opaque orange)\n",
" $ plot_lines_values .~ [ps]\n",
" $ def\n",
"\n",
"baseLayout = layout_plots .~ [toPlot asLine] $ def"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"-- now plot\n",
"toRenderable baseLayout\n",
"\n",
"-- why is the title messed up?\n",
"toRenderable $ layout_title .~ \"Test Label\" $ baseLayout"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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"<g style=\"fill:rgb(0%,0%,0%);fill-opacity:1;\">\n",
" <use xlink:href=\"#glyph1-3\" x=\"294.707031\" y=\"287.640625\"/>\n",
" <use xlink:href=\"#glyph1-1\" x=\"301.069336\" y=\"287.640625\"/>\n",
"</g>\n",
"<g style=\"fill:rgb(0%,0%,0%);fill-opacity:1;\">\n",
" <use xlink:href=\"#glyph1-3\" x=\"429.246094\" y=\"287.640625\"/>\n",
" <use xlink:href=\"#glyph1-2\" x=\"435.608398\" y=\"287.640625\"/>\n",
"</g>\n",
"</g>\n",
"</svg>\n"
]
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"-- try PNG\n",
":opt no-svg\n",
"toRenderable baseLayout\n",
"toRenderable $ layout_title .~ \"Test Label\" $ baseLayout"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "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"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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"
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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