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domitry/nyan.ipynb

Created December 16, 2015 04:39
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nyan.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"true"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"require 'nyaplot'"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"Object"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"include Nyaplot"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# New API"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div id=\"msg-cbf77a7f-c0c7-49f0-9e5b-03d03ee5e20a\" style=\"background-color: #555; width: 100%; color: #fff; padding: 5px; border-radius: 8px\">\n",
" <img src=\"https://dl.dropboxusercontent.com/u/47978121/cat.png\" style=\"display: inline; margin: 0px 5px;\">\n",
" <span>Inline JavaScript is disabled for some reason. Use <a href=\"\" style=\"color: rgb(58, 171, 210)\">nbviewer</a> to see plots.</span>\n",
"</div>\n",
"<div id='vis-cbf77a7f-c0c7-49f0-9e5b-03d03ee5e20a'></div>\n",
"<script>\n",
" require.config({paths: {\n",
" Nyaplot: \"https://cdn.rawgit.com/domitry/Nyaplotjs/bb48705474f7878c0a83f267675e019658421b52/release/nyaplot\"\n",
" }});\n",
"\n",
" require([\"Nyaplot\"], function(Nyaplot){\n",
" d3.select('#msg-cbf77a7f-c0c7-49f0-9e5b-03d03ee5e20a').remove();\n",
" Nyaplot.core.parse('#vis-cbf77a7f-c0c7-49f0-9e5b-03d03ee5e20a', 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" });\n",
"</script>\n"
],
"text/plain": [
"#<Nyaplot::Plot:0x000000031fa470 @df={:x=>[:a, :b, :c], :y=>[10, 20, 30]}, @opts={:width=>400, :height=>400}, @xdomain=nil, @ydomain=nil, @glyphs=[#<Nyaplot::Layers::Rect:0x000000031f36c0 @uuid=\"5ed1ceb2-d1aa-411c-a5e0-03ccbe0ef343\", @props={:data=>#<Nyaplot::Layers::Data:0x000000031f3f30 @uuid=\"40cbd496-b94b-4cdc-b7ab-948db801e3dd\", @props={:data=>{:x=>[:a], :y=>[10], :x1=>[-0.8], :x2=>[0.8], :y2=>[0], :y1=>[10]}}>, :x1=>:x1, :x2=>:x2, :y1=>:y1, :y2=>:y2, :position=>#<Nyaplot::Layers::Position2d:0x000000031f39b8 @uuid=\"98a791bb-d15a-449f-902c-7df9239e6d81\", @props={:x=>#<Nyaplot::Layers::D2c:0x000000031f3d00 @uuid=\"3c887f1f-062e-4dca-8635-345df378390b\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :label=>:a}>, :y=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>}>, :stroke_color=>\"none\"}>, #<Nyaplot::Layers::Rect:0x000000031f2518 @uuid=\"ec638013-16f5-4b31-b86a-87b4229c41fb\", @props={:data=>#<Nyaplot::Layers::Data:0x000000031f3120 @uuid=\"e1918689-9a86-462c-b81b-51964538ef91\", @props={:data=>{:x=>[:b], :y=>[20], :x1=>[-0.8], :x2=>[0.8], :y2=>[0], :y1=>[20]}}>, :x1=>:x1, :x2=>:x2, :y1=>:y1, :y2=>:y2, :position=>#<Nyaplot::Layers::Position2d:0x000000031f29f0 @uuid=\"968796fe-0083-421d-a748-a471e2b14d0d\", @props={:x=>#<Nyaplot::Layers::D2c:0x000000031f2d88 @uuid=\"c2abd5d4-9ea8-4aa8-bed3-0067638f0f3d\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :label=>:b}>, :y=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>}>, :stroke_color=>\"none\"}>, #<Nyaplot::Layers::Rect:0x000000031f1460 @uuid=\"333e75c9-b3d9-4c3b-ac15-53a93543f0d0\", @props={:data=>#<Nyaplot::Layers::Data:0x000000031f1f50 @uuid=\"7605d63b-fa6d-49a6-a1ac-152954cd4b9b\", @props={:data=>{:x=>[:c], :y=>[30], :x1=>[-0.8], :x2=>[0.8], :y2=>[0], :y1=>[30]}}>, :x1=>:x1, :x2=>:x2, :y1=>:y1, :y2=>:y2, :position=>#<Nyaplot::Layers::Position2d:0x000000031f1848 @uuid=\"907612fb-2c0a-4a1c-ba8e-c2a42ba253de\", @props={:x=>#<Nyaplot::Layers::D2c:0x000000031f1c08 @uuid=\"e97c9ea0-c0c0-4d3d-b1b7-d9134e62e22d\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :label=>:c}>, :y=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>}>, :stroke_color=>\"none\"}>], @charts=[#<Nyaplot::Charts::Bar:0x000000031f8300 @glyphs=[#<Nyaplot::Layers::Rect:0x000000031f36c0 @uuid=\"5ed1ceb2-d1aa-411c-a5e0-03ccbe0ef343\", @props={:data=>#<Nyaplot::Layers::Data:0x000000031f3f30 @uuid=\"40cbd496-b94b-4cdc-b7ab-948db801e3dd\", @props={:data=>{:x=>[:a], :y=>[10], :x1=>[-0.8], :x2=>[0.8], :y2=>[0], :y1=>[10]}}>, :x1=>:x1, :x2=>:x2, :y1=>:y1, :y2=>:y2, :position=>#<Nyaplot::Layers::Position2d:0x000000031f39b8 @uuid=\"98a791bb-d15a-449f-902c-7df9239e6d81\", @props={:x=>#<Nyaplot::Layers::D2c:0x000000031f3d00 @uuid=\"3c887f1f-062e-4dca-8635-345df378390b\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :label=>:a}>, :y=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>}>, :stroke_color=>\"none\"}>, #<Nyaplot::Layers::Rect:0x000000031f2518 @uuid=\"ec638013-16f5-4b31-b86a-87b4229c41fb\", @props={:data=>#<Nyaplot::Layers::Data:0x000000031f3120 @uuid=\"e1918689-9a86-462c-b81b-51964538ef91\", @props={:data=>{:x=>[:b], :y=>[20], :x1=>[-0.8], :x2=>[0.8], :y2=>[0], :y1=>[20]}}>, :x1=>:x1, :x2=>:x2, :y1=>:y1, :y2=>:y2, :position=>#<Nyaplot::Layers::Position2d:0x000000031f29f0 @uuid=\"968796fe-0083-421d-a748-a471e2b14d0d\", @props={:x=>#<Nyaplot::Layers::D2c:0x000000031f2d88 @uuid=\"c2abd5d4-9ea8-4aa8-bed3-0067638f0f3d\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :label=>:b}>, :y=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>}>, :stroke_color=>\"none\"}>, #<Nyaplot::Layers::Rect:0x000000031f1460 @uuid=\"333e75c9-b3d9-4c3b-ac15-53a93543f0d0\", @props={:data=>#<Nyaplot::Layers::Data:0x000000031f1f50 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@props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :height=>35}>, #<Nyaplot::Layers::Axis:0x000000031f9250 @uuid=\"9678d247-fec3-496a-acd7-ea5ed72c1c49\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>, :orient=>:left, :width=>70}>], :width=>400, :height=>400}>, #<Nyaplot::Layers::Label:0x000000031f8648 @uuid=\"4e64efe2-d461-4652-b94c-0211bbba42b9\", @props={:dx=>35, :text=>\"Bar chart\", :font_size=>26, :text_anchor=>:start, :yalign=>:center, :xalign=>:center, :margin=>{:top=>0, :bottom=>20, :left=>5, :right=>5}}>, #<Nyaplot::Layers::Data:0x000000031f3f30 @uuid=\"40cbd496-b94b-4cdc-b7ab-948db801e3dd\", @props={:data=>{:x=>[:a], :y=>[10], :x1=>[-0.8], :x2=>[0.8], :y2=>[0], :y1=>[10]}}>, #<Nyaplot::Layers::D2c:0x000000031f3d00 @uuid=\"3c887f1f-062e-4dca-8635-345df378390b\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :label=>:a}>, #<Nyaplot::Layers::Position2d:0x000000031f39b8 @uuid=\"98a791bb-d15a-449f-902c-7df9239e6d81\", @props={:x=>#<Nyaplot::Layers::D2c:0x000000031f3d00 @uuid=\"3c887f1f-062e-4dca-8635-345df378390b\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :label=>:a}>, :y=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>}>, #<Nyaplot::Layers::Data:0x000000031f3120 @uuid=\"e1918689-9a86-462c-b81b-51964538ef91\", @props={:data=>{:x=>[:b], :y=>[20], :x1=>[-0.8], :x2=>[0.8], :y2=>[0], :y1=>[20]}}>, #<Nyaplot::Layers::D2c:0x000000031f2d88 @uuid=\"c2abd5d4-9ea8-4aa8-bed3-0067638f0f3d\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :label=>:b}>, #<Nyaplot::Layers::Position2d:0x000000031f29f0 @uuid=\"968796fe-0083-421d-a748-a471e2b14d0d\", @props={:x=>#<Nyaplot::Layers::D2c:0x000000031f2d88 @uuid=\"c2abd5d4-9ea8-4aa8-bed3-0067638f0f3d\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :label=>:b}>, :y=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>}>, #<Nyaplot::Layers::Data:0x000000031f1f50 @uuid=\"7605d63b-fa6d-49a6-a1ac-152954cd4b9b\", @props={:data=>{:x=>[:c], :y=>[30], :x1=>[-0.8], :x2=>[0.8], :y2=>[0], :y1=>[30]}}>, #<Nyaplot::Layers::D2c:0x000000031f1c08 @uuid=\"e97c9ea0-c0c0-4d3d-b1b7-d9134e62e22d\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :label=>:c}>, #<Nyaplot::Layers::Position2d:0x000000031f1848 @uuid=\"907612fb-2c0a-4a1c-ba8e-c2a42ba253de\", @props={:x=>#<Nyaplot::Layers::D2c:0x000000031f1c08 @uuid=\"e97c9ea0-c0c0-4d3d-b1b7-d9134e62e22d\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :label=>:c}>, :y=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>}>], @temp_deps=[], @x_axis_h=35, @y_axis_w=70, @is_interactive=true, @stage=#<Nyaplot::Layers::Stage:0x000000031fa218 @uuid=\"6c2d8afb-e47e-49a5-a7c0-6489d4a10557\", @props={}>, @context=#<Nyaplot::Layers::Context:0x000000031f9fc0 @uuid=\"3e733f2e-a557-41ee-bbef-60299513c227\", @props={:width=>400, :height=>400}>, @background=#<Nyaplot::Layers::Background:0x000000031f9cc8 @uuid=\"a1af983b-7ffa-494a-9d96-92d46a5cf9f3\", @props={:width=>404, :height=>404, :dx=>-2, :dy=>-2}>, @xscale=#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, @yscale=#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>, @xaxis=#<Nyaplot::Layers::Axis:0x000000031f9458 @uuid=\"432250cb-60bd-4c35-9e6c-3acdafa28f3e\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :height=>35}>, @yaxis=#<Nyaplot::Layers::Axis:0x000000031f9250 @uuid=\"9678d247-fec3-496a-acd7-ea5ed72c1c49\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>, :orient=>:left, :width=>70}>, @grid=#<Nyaplot::Layers::Grid:0x000000031f8ff8 @uuid=\"704712f5-d2e0-483d-b376-7a93d7f7ddb1\", @props={:xscale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :yscale=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>}>, @position=#<Nyaplot::Layers::Position2d:0x000000031f8be8 @uuid=\"f80964f3-f005-4c59-89b7-5af2e289ebb3\", @props={:x=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :y=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>}>, @wheel_zoom=#<Nyaplot::Layers::Wheelzoom:0x000000031f8918 @uuid=\"18d30d2d-f934-4d5f-a8f6-a540cb268286\", @props={:xscale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :yscale=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>, :updates=>[#<Nyaplot::Layers::Grid:0x000000031f8ff8 @uuid=\"704712f5-d2e0-483d-b376-7a93d7f7ddb1\", @props={:xscale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :yscale=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>}>, #<Nyaplot::Layers::Axis:0x000000031f9458 @uuid=\"432250cb-60bd-4c35-9e6c-3acdafa28f3e\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f99d0 @uuid=\"522f85ff-9b97-4d64-98b6-b16265cb9219\", @props={:type=>\"ordinal\", :range=>[0, 400], :domain=>[:a, :b, :c]}>, :height=>35}>, #<Nyaplot::Layers::Axis:0x000000031f9250 @uuid=\"9678d247-fec3-496a-acd7-ea5ed72c1c49\", @props={:scale=>#<Nyaplot::Layers::Scale:0x000000031f9700 @uuid=\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[0, 30]}>, :orient=>:left, :width=>70}>], :width=>400, :height=>400}>, @title=#<Nyaplot::Layers::Label:0x000000031f8648 @uuid=\"4e64efe2-d461-4652-b94c-0211bbba42b9\", @props={:dx=>35, :text=>\"Bar chart\", :font_size=>26, :text_anchor=>:start, :yalign=>:center, :xalign=>:center, :margin=>{:top=>0, :bottom=>20, :left=>5, :right=>5}}>, @xlabel=nil, @ylabel=nil>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = {x: [:a, :b, :c], y: [10, 20, 30]}\n",
"p = Plot.from(df).bar(x: :x, y: :y).title(\"Bar chart\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"\"Plot was saved to /home/naoki/ipynb/plot.html\""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p.export_html(\"./plot.html\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# to_png"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<img 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\">"
],
"text/plain": [
"\"<div id='vis-d8669eba-2d47-4e14-802b-408540aabf35'></div>\\n<script>\\n require.config({paths: {\\n Nyaplot: \\\"https://cdn.rawgit.com/domitry/Nyaplotjs/bb48705474f7878c0a83f267675e019658421b52/release/nyaplot\\\"\\n }});\\n\\n require([\\\"Nyaplot\\\"], function(Nyaplot){\\n var vis_id = \\\"vis-d8669eba-2d47-4e14-802b-408540aabf35\\\";\\n var pr = Nyaplot.core.to_png('#'+vis_id, {\\\"uuid\\\":\\\"2cd7e4bd-9819-476f-87d0-a8e9b42cd0ab\\\",\\\"defs\\\":[{\\\"type\\\":\\\"stage\\\",\\\"uuid\\\":\\\"6c2d8afb-e47e-49a5-a7c0-6489d4a10557\\\",\\\"args\\\":{},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"context\\\",\\\"uuid\\\":\\\"3e733f2e-a557-41ee-bbef-60299513c227\\\",\\\"args\\\":{\\\"width\\\":400,\\\"height\\\":400},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"background\\\",\\\"uuid\\\":\\\"a1af983b-7ffa-494a-9d96-92d46a5cf9f3\\\",\\\"args\\\":{\\\"width\\\":404,\\\"height\\\":404,\\\"dx\\\":-2,\\\"dy\\\":-2},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"scale\\\",\\\"uuid\\\":\\\"522f85ff-9b97-4d64-98b6-b16265cb9219\\\",\\\"args\\\":{\\\"type\\\":\\\"ordinal\\\",\\\"range\\\":[0,400],\\\"domain\\\":[\\\"a\\\",\\\"b\\\",\\\"c\\\"]},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"scale\\\",\\\"uuid\\\":\\\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\\\",\\\"args\\\":{\\\"type\\\":\\\"linear\\\",\\\"range\\\":[400,0],\\\"domain\\\":[0,30]},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"axis\\\",\\\"uuid\\\":\\\"432250cb-60bd-4c35-9e6c-3acdafa28f3e\\\",\\\"args\\\":{\\\"height\\\":35},\\\"sync_args\\\":{\\\"scale\\\":\\\"522f85ff-9b97-4d64-98b6-b16265cb9219\\\"}},{\\\"type\\\":\\\"axis\\\",\\\"uuid\\\":\\\"9678d247-fec3-496a-acd7-ea5ed72c1c49\\\",\\\"args\\\":{\\\"orient\\\":\\\"left\\\",\\\"width\\\":70},\\\"sync_args\\\":{\\\"scale\\\":\\\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\\\"}},{\\\"type\\\":\\\"grid\\\",\\\"uuid\\\":\\\"704712f5-d2e0-483d-b376-7a93d7f7ddb1\\\",\\\"args\\\":{},\\\"sync_args\\\":{\\\"xscale\\\":\\\"522f85ff-9b97-4d64-98b6-b16265cb9219\\\",\\\"yscale\\\":\\\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\\\"}},{\\\"type\\\":\\\"position2d\\\",\\\"uuid\\\":\\\"f80964f3-f005-4c59-89b7-5af2e289ebb3\\\",\\\"args\\\":{},\\\"sync_args\\\":{\\\"x\\\":\\\"522f85ff-9b97-4d64-98b6-b16265cb9219\\\",\\\"y\\\":\\\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\\\"}},{\\\"type\\\":\\\"wheelzoom\\\",\\\"uuid\\\":\\\"18d30d2d-f934-4d5f-a8f6-a540cb268286\\\",\\\"args\\\":{\\\"width\\\":400,\\\"height\\\":400},\\\"sync_args\\\":{\\\"xscale\\\":\\\"522f85ff-9b97-4d64-98b6-b16265cb9219\\\",\\\"yscale\\\":\\\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\\\",\\\"updates\\\":[\\\"704712f5-d2e0-483d-b376-7a93d7f7ddb1\\\",\\\"432250cb-60bd-4c35-9e6c-3acdafa28f3e\\\",\\\"9678d247-fec3-496a-acd7-ea5ed72c1c49\\\"]}},{\\\"type\\\":\\\"label\\\",\\\"uuid\\\":\\\"4e64efe2-d461-4652-b94c-0211bbba42b9\\\",\\\"args\\\":{\\\"dx\\\":35,\\\"text\\\":\\\"Bar chart\\\",\\\"font_size\\\":26,\\\"text_anchor\\\":\\\"start\\\",\\\"yalign\\\":\\\"center\\\",\\\"xalign\\\":\\\"center\\\",\\\"margin\\\":{\\\"top\\\":0,\\\"bottom\\\":20,\\\"left\\\":5,\\\"right\\\":5}},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"data\\\",\\\"uuid\\\":\\\"40cbd496-b94b-4cdc-b7ab-948db801e3dd\\\",\\\"args\\\":{\\\"data\\\":{\\\"x\\\":[\\\"a\\\"],\\\"y\\\":[10],\\\"x1\\\":[-0.8],\\\"x2\\\":[0.8],\\\"y2\\\":[0],\\\"y1\\\":[10]}},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"d2c\\\",\\\"uuid\\\":\\\"3c887f1f-062e-4dca-8635-345df378390b\\\",\\\"args\\\":{\\\"label\\\":\\\"a\\\"},\\\"sync_args\\\":{\\\"scale\\\":\\\"522f85ff-9b97-4d64-98b6-b16265cb9219\\\"}},{\\\"type\\\":\\\"position2d\\\",\\\"uuid\\\":\\\"98a791bb-d15a-449f-902c-7df9239e6d81\\\",\\\"args\\\":{},\\\"sync_args\\\":{\\\"x\\\":\\\"3c887f1f-062e-4dca-8635-345df378390b\\\",\\\"y\\\":\\\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\\\"}},{\\\"type\\\":\\\"data\\\",\\\"uuid\\\":\\\"e1918689-9a86-462c-b81b-51964538ef91\\\",\\\"args\\\":{\\\"data\\\":{\\\"x\\\":[\\\"b\\\"],\\\"y\\\":[20],\\\"x1\\\":[-0.8],\\\"x2\\\":[0.8],\\\"y2\\\":[0],\\\"y1\\\":[20]}},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"d2c\\\",\\\"uuid\\\":\\\"c2abd5d4-9ea8-4aa8-bed3-0067638f0f3d\\\",\\\"args\\\":{\\\"label\\\":\\\"b\\\"},\\\"sync_args\\\":{\\\"scale\\\":\\\"522f85ff-9b97-4d64-98b6-b16265cb9219\\\"}},{\\\"type\\\":\\\"position2d\\\",\\\"uuid\\\":\\\"968796fe-0083-421d-a748-a471e2b14d0d\\\",\\\"args\\\":{},\\\"sync_args\\\":{\\\"x\\\":\\\"c2abd5d4-9ea8-4aa8-bed3-0067638f0f3d\\\",\\\"y\\\":\\\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\\\"}},{\\\"type\\\":\\\"data\\\",\\\"uuid\\\":\\\"7605d63b-fa6d-49a6-a1ac-152954cd4b9b\\\",\\\"args\\\":{\\\"data\\\":{\\\"x\\\":[\\\"c\\\"],\\\"y\\\":[30],\\\"x1\\\":[-0.8],\\\"x2\\\":[0.8],\\\"y2\\\":[0],\\\"y1\\\":[30]}},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"d2c\\\",\\\"uuid\\\":\\\"e97c9ea0-c0c0-4d3d-b1b7-d9134e62e22d\\\",\\\"args\\\":{\\\"label\\\":\\\"c\\\"},\\\"sync_args\\\":{\\\"scale\\\":\\\"522f85ff-9b97-4d64-98b6-b16265cb9219\\\"}},{\\\"type\\\":\\\"position2d\\\",\\\"uuid\\\":\\\"907612fb-2c0a-4a1c-ba8e-c2a42ba253de\\\",\\\"args\\\":{},\\\"sync_args\\\":{\\\"x\\\":\\\"e97c9ea0-c0c0-4d3d-b1b7-d9134e62e22d\\\",\\\"y\\\":\\\"cf1ff21f-59d0-43c1-a584-fd438ce55d60\\\"}},{\\\"type\\\":\\\"row\\\",\\\"uuid\\\":\\\"d7a740bd-5ca4-459a-a125-943ec3000733\\\",\\\"args\\\":{},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"column\\\",\\\"uuid\\\":\\\"25b1c9c9-f8b8-4895-ac39-7dcfe929d5d0\\\",\\\"args\\\":{\\\"margin\\\":{\\\"top\\\":10,\\\"bottom\\\":15,\\\"left\\\":15,\\\"right\\\":15}},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"row\\\",\\\"uuid\\\":\\\"b9abdfbf-9c75-47e6-8687-b629457ac81b\\\",\\\"args\\\":{},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"rect\\\",\\\"uuid\\\":\\\"5ed1ceb2-d1aa-411c-a5e0-03ccbe0ef343\\\",\\\"args\\\":{\\\"x1\\\":\\\"x1\\\",\\\"x2\\\":\\\"x2\\\",\\\"y1\\\":\\\"y1\\\",\\\"y2\\\":\\\"y2\\\",\\\"stroke_color\\\":\\\"none\\\"},\\\"sync_args\\\":{\\\"data\\\":\\\"40cbd496-b94b-4cdc-b7ab-948db801e3dd\\\",\\\"position\\\":\\\"98a791bb-d15a-449f-902c-7df9239e6d81\\\"}},{\\\"type\\\":\\\"rect\\\",\\\"uuid\\\":\\\"ec638013-16f5-4b31-b86a-87b4229c41fb\\\",\\\"args\\\":{\\\"x1\\\":\\\"x1\\\",\\\"x2\\\":\\\"x2\\\",\\\"y1\\\":\\\"y1\\\",\\\"y2\\\":\\\"y2\\\",\\\"stroke_color\\\":\\\"none\\\"},\\\"sync_args\\\":{\\\"data\\\":\\\"e1918689-9a86-462c-b81b-51964538ef91\\\",\\\"position\\\":\\\"968796fe-0083-421d-a748-a471e2b14d0d\\\"}},{\\\"type\\\":\\\"rect\\\",\\\"uuid\\\":\\\"333e75c9-b3d9-4c3b-ac15-53a93543f0d0\\\",\\\"args\\\":{\\\"x1\\\":\\\"x1\\\",\\\"x2\\\":\\\"x2\\\",\\\"y1\\\":\\\"y1\\\",\\\"y2\\\":\\\"y2\\\",\\\"stroke_color\\\":\\\"none\\\"},\\\"sync_args\\\":{\\\"data\\\":\\\"7605d63b-fa6d-49a6-a1ac-152954cd4b9b\\\",\\\"position\\\":\\\"907612fb-2c0a-4a1c-ba8e-c2a42ba253de\\\"}}],\\\"layout\\\":{\\\"uuid\\\":\\\"6c2d8afb-e47e-49a5-a7c0-6489d4a10557\\\",\\\"children\\\":[{\\\"uuid\\\":\\\"b9abdfbf-9c75-47e6-8687-b629457ac81b\\\",\\\"children\\\":[{\\\"uuid\\\":\\\"4e64efe2-d461-4652-b94c-0211bbba42b9\\\",\\\"children\\\":[]},{\\\"uuid\\\":\\\"25b1c9c9-f8b8-4895-ac39-7dcfe929d5d0\\\",\\\"children\\\":[{\\\"uuid\\\":\\\"9678d247-fec3-496a-acd7-ea5ed72c1c49\\\",\\\"children\\\":[]},{\\\"uuid\\\":\\\"d7a740bd-5ca4-459a-a125-943ec3000733\\\",\\\"children\\\":[{\\\"uuid\\\":\\\"a1af983b-7ffa-494a-9d96-92d46a5cf9f3\\\",\\\"children\\\":[{\\\"uuid\\\":\\\"704712f5-d2e0-483d-b376-7a93d7f7ddb1\\\",\\\"children\\\":[{\\\"uuid\\\":\\\"3e733f2e-a557-41ee-bbef-60299513c227\\\",\\\"children\\\":[{\\\"uuid\\\":\\\"5ed1ceb2-d1aa-411c-a5e0-03ccbe0ef343\\\",\\\"children\\\":[]},{\\\"uuid\\\":\\\"ec638013-16f5-4b31-b86a-87b4229c41fb\\\",\\\"children\\\":[]},{\\\"uuid\\\":\\\"333e75c9-b3d9-4c3b-ac15-53a93543f0d0\\\",\\\"children\\\":[]}]}]}]},{\\\"uuid\\\":\\\"432250cb-60bd-4c35-9e6c-3acdafa28f3e\\\",\\\"children\\\":[]}]}]}]}],\\\"parser_type\\\":\\\"svg\\\"}});\\n\\n function searchCell(uuid){\\n var n = IPython.notebook.ncells();\\n for(var i=0; i<n; i++){\\n var cell = IPython.notebook.get_cell(i);\\n if(typeof cell.output_area != \\\"undefined\\\"){\\n var outputs = cell.output_area.outputs.filter(function(out){\\n var html = out.data[\\\"text/html\\\"];\\n if(typeof html == \\\"undefined\\\")return false;\\n if(html.includes(uuid))return true;\\n return false;\\n });\\n if(outputs.length>0)return cell;\\n }\\n }\\n return null;\\n }\\n\\n if(typeof window.IPython != \\\"undefined\\\"){\\n pr.then(function(selection){\\n try{\\n var html = selection.node().outerHTML;\\n var cell = searchCell(vis_id);\\n if(cell == null)throw new Error(\\\"The cell whose id is \\\" + vis_id + \\\" not found.\\\");\\n cell.output_area.outputs[0].data[\\\"text/html\\\"] = html;\\n }\\n catch(e){\\n console.warn(\\\"Maybe the front-end API of Jupyter has changed.\\\\nmessage:\\\" + e.message);\\n }\\n });\\n }\\n });\\n</script>\\n\""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"p.to_png"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<table><tr><th>rgb(251,180,174)</th><th>rgb(179,205,227)</th><th>rgb(204,235,197)</th><th>rgb(222,203,228)</th><th>rgb(254,217,166)</th><th>rgb(255,255,204)</th><th>rgb(229,216,189)</th><th>rgb(253,218,236)</th><th>rgb(242,242,242)</th></tr><tr><td style=\"background-color:rgb(251,180,174);\">&nbsp;</td><td style=\"background-color:rgb(179,205,227);\">&nbsp;</td><td style=\"background-color:rgb(204,235,197);\">&nbsp;</td><td style=\"background-color:rgb(222,203,228);\">&nbsp;</td><td style=\"background-color:rgb(254,217,166);\">&nbsp;</td><td style=\"background-color:rgb(255,255,204);\">&nbsp;</td><td style=\"background-color:rgb(229,216,189);\">&nbsp;</td><td style=\"background-color:rgb(253,218,236);\">&nbsp;</td><td style=\"background-color:rgb(242,242,242);\">&nbsp;</td></tr></table>"
],
"text/plain": [
"#<Nyaplot::Color:0x00000003330150 @source=[\"rgb(251,180,174)\", \"rgb(179,205,227)\", \"rgb(204,235,197)\", \"rgb(222,203,228)\", \"rgb(254,217,166)\", \"rgb(255,255,204)\", \"rgb(229,216,189)\", \"rgb(253,218,236)\", \"rgb(242,242,242)\"]>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"Colors.Pastel1"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[\"rgb(251,180,174)\", \"rgb(179,205,227)\", \"rgb(204,235,197)\"]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cs = Colors.Pastel1.to_a[0..2]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div id=\"msg-780a3a62-d4bf-4b3c-94b1-52bf3d5baac0\" style=\"background-color: #555; width: 100%; color: #fff; padding: 5px; border-radius: 8px\">\n",
" <img src=\"https://dl.dropboxusercontent.com/u/47978121/cat.png\" style=\"display: inline; margin: 0px 5px;\">\n",
" <span>Inline JavaScript is disabled for some reason. Use <a href=\"\" style=\"color: rgb(58, 171, 210)\">nbviewer</a> to see plots.</span>\n",
"</div>\n",
"<div id='vis-780a3a62-d4bf-4b3c-94b1-52bf3d5baac0'></div>\n",
"<script>\n",
" require.config({paths: {\n",
" Nyaplot: \"https://cdn.rawgit.com/domitry/Nyaplotjs/bb48705474f7878c0a83f267675e019658421b52/release/nyaplot\"\n",
" }});\n",
"\n",
" require([\"Nyaplot\"], function(Nyaplot){\n",
" d3.select('#msg-780a3a62-d4bf-4b3c-94b1-52bf3d5baac0').remove();\n",
" Nyaplot.core.parse('#vis-780a3a62-d4bf-4b3c-94b1-52bf3d5baac0', 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]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = {x: [:a, :b, :c], y: [10, 20, 30]}\n",
"p = Plot.from(df).bar(x: :x, y: :y, fill_by: :x, colors: cs)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
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\">"
],
"text/plain": [
"\"<div id='vis-aa2a0a31-d0b5-46e1-b7ce-ff2b0b70f40c'></div>\\n<script>\\n require.config({paths: {\\n Nyaplot: \\\"https://cdn.rawgit.com/domitry/Nyaplotjs/bb48705474f7878c0a83f267675e019658421b52/release/nyaplot\\\"\\n }});\\n\\n require([\\\"Nyaplot\\\"], function(Nyaplot){\\n var vis_id = \\\"vis-aa2a0a31-d0b5-46e1-b7ce-ff2b0b70f40c\\\";\\n var pr = Nyaplot.core.to_png('#'+vis_id, {\\\"uuid\\\":\\\"74dc0e66-88a0-455c-bfb8-d018d37a4f85\\\",\\\"defs\\\":[{\\\"type\\\":\\\"stage\\\",\\\"uuid\\\":\\\"5863279f-1311-450e-8fab-5c554fef7728\\\",\\\"args\\\":{},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"context\\\",\\\"uuid\\\":\\\"570fffbc-7c2c-4733-a028-caaa78cf7133\\\",\\\"args\\\":{\\\"width\\\":400,\\\"height\\\":400},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"background\\\",\\\"uuid\\\":\\\"c76bc92d-84ed-4b86-a29f-4551fc179de9\\\",\\\"args\\\":{\\\"width\\\":404,\\\"height\\\":404,\\\"dx\\\":-2,\\\"dy\\\":-2},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"scale\\\",\\\"uuid\\\":\\\"815147be-92b7-46ba-9edb-ce631e646cc2\\\",\\\"args\\\":{\\\"type\\\":\\\"ordinal\\\",\\\"range\\\":[0,400],\\\"domain\\\":[\\\"a\\\",\\\"b\\\",\\\"c\\\"]},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"scale\\\",\\\"uuid\\\":\\\"b8247be7-55bf-4a42-a247-be80bd06be97\\\",\\\"args\\\":{\\\"type\\\":\\\"linear\\\",\\\"range\\\":[400,0],\\\"domain\\\":[0,30]},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"axis\\\",\\\"uuid\\\":\\\"95087a46-4e0a-4445-a544-9ded269ae5d1\\\",\\\"args\\\":{\\\"height\\\":35},\\\"sync_args\\\":{\\\"scale\\\":\\\"815147be-92b7-46ba-9edb-ce631e646cc2\\\"}},{\\\"type\\\":\\\"axis\\\",\\\"uuid\\\":\\\"643815a5-43fa-49ae-b532-c7e3e9430dd3\\\",\\\"args\\\":{\\\"orient\\\":\\\"left\\\",\\\"width\\\":70},\\\"sync_args\\\":{\\\"scale\\\":\\\"b8247be7-55bf-4a42-a247-be80bd06be97\\\"}},{\\\"type\\\":\\\"grid\\\",\\\"uuid\\\":\\\"3131a2ff-a758-4bcf-9ab1-521de8c3366f\\\",\\\"args\\\":{},\\\"sync_args\\\":{\\\"xscale\\\":\\\"815147be-92b7-46ba-9edb-ce631e646cc2\\\",\\\"yscale\\\":\\\"b8247be7-55bf-4a42-a247-be80bd06be97\\\"}},{\\\"type\\\":\\\"position2d\\\",\\\"uuid\\\":\\\"89cf9e18-f27e-44fb-a3e4-0fdc29058a16\\\",\\\"args\\\":{},\\\"sync_args\\\":{\\\"x\\\":\\\"815147be-92b7-46ba-9edb-ce631e646cc2\\\",\\\"y\\\":\\\"b8247be7-55bf-4a42-a247-be80bd06be97\\\"}},{\\\"type\\\":\\\"wheelzoom\\\",\\\"uuid\\\":\\\"7ea9a4e0-07e1-46a7-9a8d-97d47542606a\\\",\\\"args\\\":{\\\"width\\\":400,\\\"height\\\":400},\\\"sync_args\\\":{\\\"xscale\\\":\\\"815147be-92b7-46ba-9edb-ce631e646cc2\\\",\\\"yscale\\\":\\\"b8247be7-55bf-4a42-a247-be80bd06be97\\\",\\\"updates\\\":[\\\"3131a2ff-a758-4bcf-9ab1-521de8c3366f\\\",\\\"95087a46-4e0a-4445-a544-9ded269ae5d1\\\",\\\"643815a5-43fa-49ae-b532-c7e3e9430dd3\\\"]}},{\\\"type\\\":\\\"label\\\",\\\"uuid\\\":\\\"dd75a0c7-a23c-4f82-8ffa-a8925211982d\\\",\\\"args\\\":{\\\"dx\\\":35,\\\"text\\\":\\\"\\\",\\\"font_size\\\":26,\\\"text_anchor\\\":\\\"start\\\",\\\"yalign\\\":\\\"center\\\",\\\"xalign\\\":\\\"center\\\",\\\"margin\\\":{\\\"top\\\":0,\\\"bottom\\\":20,\\\"left\\\":5,\\\"right\\\":5}},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"scale\\\",\\\"uuid\\\":\\\"acee8ca4-8451-4622-874b-e4d44db3eeb9\\\",\\\"args\\\":{\\\"domain\\\":[\\\"a\\\",\\\"b\\\",\\\"c\\\"],\\\"range\\\":[\\\"rgb(251,180,174)\\\",\\\"rgb(179,205,227)\\\",\\\"rgb(204,235,197)\\\"],\\\"type\\\":\\\"discrete\\\"},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"accessor\\\",\\\"uuid\\\":\\\"aaad6754-06e0-45d2-80b5-7e45001ec614\\\",\\\"args\\\":{\\\"label\\\":\\\"x\\\"},\\\"sync_args\\\":{\\\"scale\\\":\\\"acee8ca4-8451-4622-874b-e4d44db3eeb9\\\"}},{\\\"type\\\":\\\"data\\\",\\\"uuid\\\":\\\"e1bfb1ac-1502-4aad-94e8-cd1f1e0bd7a5\\\",\\\"args\\\":{\\\"data\\\":{\\\"x\\\":[\\\"a\\\"],\\\"y\\\":[10],\\\"x1\\\":[-0.8],\\\"x2\\\":[0.8],\\\"y2\\\":[0],\\\"y1\\\":[10]}},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"d2c\\\",\\\"uuid\\\":\\\"7320d3da-a8ac-48c4-9b99-fd8accd9ea8f\\\",\\\"args\\\":{\\\"label\\\":\\\"a\\\"},\\\"sync_args\\\":{\\\"scale\\\":\\\"815147be-92b7-46ba-9edb-ce631e646cc2\\\"}},{\\\"type\\\":\\\"position2d\\\",\\\"uuid\\\":\\\"473ed4be-96fe-435c-8db3-0504eb1057e7\\\",\\\"args\\\":{},\\\"sync_args\\\":{\\\"x\\\":\\\"7320d3da-a8ac-48c4-9b99-fd8accd9ea8f\\\",\\\"y\\\":\\\"b8247be7-55bf-4a42-a247-be80bd06be97\\\"}},{\\\"type\\\":\\\"data\\\",\\\"uuid\\\":\\\"a3971bc0-d649-4e2b-9596-8bac06302b62\\\",\\\"args\\\":{\\\"data\\\":{\\\"x\\\":[\\\"b\\\"],\\\"y\\\":[20],\\\"x1\\\":[-0.8],\\\"x2\\\":[0.8],\\\"y2\\\":[0],\\\"y1\\\":[20]}},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"d2c\\\",\\\"uuid\\\":\\\"2aefdf39-3309-4844-b24b-8dcdc61c053a\\\",\\\"args\\\":{\\\"label\\\":\\\"b\\\"},\\\"sync_args\\\":{\\\"scale\\\":\\\"815147be-92b7-46ba-9edb-ce631e646cc2\\\"}},{\\\"type\\\":\\\"position2d\\\",\\\"uuid\\\":\\\"ce67f9a2-d3ed-417c-955a-cc69b725a70b\\\",\\\"args\\\":{},\\\"sync_args\\\":{\\\"x\\\":\\\"2aefdf39-3309-4844-b24b-8dcdc61c053a\\\",\\\"y\\\":\\\"b8247be7-55bf-4a42-a247-be80bd06be97\\\"}},{\\\"type\\\":\\\"data\\\",\\\"uuid\\\":\\\"56a4d85d-e9cb-49e2-9174-f8c793405a33\\\",\\\"args\\\":{\\\"data\\\":{\\\"x\\\":[\\\"c\\\"],\\\"y\\\":[30],\\\"x1\\\":[-0.8],\\\"x2\\\":[0.8],\\\"y2\\\":[0],\\\"y1\\\":[30]}},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"d2c\\\",\\\"uuid\\\":\\\"fb34cb2e-9898-4f3b-b11f-3950311f27d9\\\",\\\"args\\\":{\\\"label\\\":\\\"c\\\"},\\\"sync_args\\\":{\\\"scale\\\":\\\"815147be-92b7-46ba-9edb-ce631e646cc2\\\"}},{\\\"type\\\":\\\"position2d\\\",\\\"uuid\\\":\\\"7c0cbe3e-76d1-4db0-b64c-ed738cb6cdcb\\\",\\\"args\\\":{},\\\"sync_args\\\":{\\\"x\\\":\\\"fb34cb2e-9898-4f3b-b11f-3950311f27d9\\\",\\\"y\\\":\\\"b8247be7-55bf-4a42-a247-be80bd06be97\\\"}},{\\\"type\\\":\\\"row\\\",\\\"uuid\\\":\\\"9ebd83fb-04ca-45c1-806e-2828ff223e3d\\\",\\\"args\\\":{},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"column\\\",\\\"uuid\\\":\\\"7dc82689-ec0e-4f5a-bcec-045d1bb8d29c\\\",\\\"args\\\":{\\\"margin\\\":{\\\"top\\\":10,\\\"bottom\\\":15,\\\"left\\\":15,\\\"right\\\":15}},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"row\\\",\\\"uuid\\\":\\\"1abbec9d-5d8d-46ef-b7be-062b027903fe\\\",\\\"args\\\":{},\\\"sync_args\\\":{}},{\\\"type\\\":\\\"rect\\\",\\\"uuid\\\":\\\"89196f5a-9fdf-46b4-a8c1-d7084665edec\\\",\\\"args\\\":{\\\"x1\\\":\\\"x1\\\",\\\"x2\\\":\\\"x2\\\",\\\"y1\\\":\\\"y1\\\",\\\"y2\\\":\\\"y2\\\",\\\"stroke_color\\\":\\\"none\\\"},\\\"sync_args\\\":{\\\"data\\\":\\\"e1bfb1ac-1502-4aad-94e8-cd1f1e0bd7a5\\\",\\\"position\\\":\\\"473ed4be-96fe-435c-8db3-0504eb1057e7\\\",\\\"color\\\":\\\"aaad6754-06e0-45d2-80b5-7e45001ec614\\\"}},{\\\"type\\\":\\\"rect\\\",\\\"uuid\\\":\\\"6f4d9b07-f28b-4ae7-88e4-077cfeb425dd\\\",\\\"args\\\":{\\\"x1\\\":\\\"x1\\\",\\\"x2\\\":\\\"x2\\\",\\\"y1\\\":\\\"y1\\\",\\\"y2\\\":\\\"y2\\\",\\\"stroke_color\\\":\\\"none\\\"},\\\"sync_args\\\":{\\\"data\\\":\\\"a3971bc0-d649-4e2b-9596-8bac06302b62\\\",\\\"position\\\":\\\"ce67f9a2-d3ed-417c-955a-cc69b725a70b\\\",\\\"color\\\":\\\"aaad6754-06e0-45d2-80b5-7e45001ec614\\\"}},{\\\"type\\\":\\\"rect\\\",\\\"uuid\\\":\\\"0d7589bd-7e88-427d-b098-934e6914f777\\\",\\\"args\\\":{\\\"x1\\\":\\\"x1\\\",\\\"x2\\\":\\\"x2\\\",\\\"y1\\\":\\\"y1\\\",\\\"y2\\\":\\\"y2\\\",\\\"stroke_color\\\":\\\"none\\\"},\\\"sync_args\\\":{\\\"data\\\":\\\"56a4d85d-e9cb-49e2-9174-f8c793405a33\\\",\\\"position\\\":\\\"7c0cbe3e-76d1-4db0-b64c-ed738cb6cdcb\\\",\\\"color\\\":\\\"aaad6754-06e0-45d2-80b5-7e45001ec614\\\"}}],\\\"layout\\\":{\\\"uuid\\\":\\\"5863279f-1311-450e-8fab-5c554fef7728\\\",\\\"children\\\":[{\\\"uuid\\\":\\\"1abbec9d-5d8d-46ef-b7be-062b027903fe\\\",\\\"children\\\":[{\\\"uuid\\\":\\\"dd75a0c7-a23c-4f82-8ffa-a8925211982d\\\",\\\"children\\\":[]},{\\\"uuid\\\":\\\"7dc82689-ec0e-4f5a-bcec-045d1bb8d29c\\\",\\\"children\\\":[{\\\"uuid\\\":\\\"643815a5-43fa-49ae-b532-c7e3e9430dd3\\\",\\\"children\\\":[]},{\\\"uuid\\\":\\\"9ebd83fb-04ca-45c1-806e-2828ff223e3d\\\",\\\"children\\\":[{\\\"uuid\\\":\\\"c76bc92d-84ed-4b86-a29f-4551fc179de9\\\",\\\"children\\\":[{\\\"uuid\\\":\\\"3131a2ff-a758-4bcf-9ab1-521de8c3366f\\\",\\\"children\\\":[{\\\"uuid\\\":\\\"570fffbc-7c2c-4733-a028-caaa78cf7133\\\",\\\"children\\\":[{\\\"uuid\\\":\\\"89196f5a-9fdf-46b4-a8c1-d7084665edec\\\",\\\"children\\\":[]},{\\\"uuid\\\":\\\"6f4d9b07-f28b-4ae7-88e4-077cfeb425dd\\\",\\\"children\\\":[]},{\\\"uuid\\\":\\\"0d7589bd-7e88-427d-b098-934e6914f777\\\",\\\"children\\\":[]}]}]}]},{\\\"uuid\\\":\\\"95087a46-4e0a-4445-a544-9ded269ae5d1\\\",\\\"children\\\":[]}]}]}]}],\\\"parser_type\\\":\\\"svg\\\"}});\\n\\n function searchCell(uuid){\\n var n = IPython.notebook.ncells();\\n for(var i=0; i<n; i++){\\n var cell = IPython.notebook.get_cell(i);\\n if(typeof cell.output_area != \\\"undefined\\\"){\\n var outputs = cell.output_area.outputs.filter(function(out){\\n var html = out.data[\\\"text/html\\\"];\\n if(typeof html == \\\"undefined\\\")return false;\\n if(html.includes(uuid))return true;\\n return false;\\n });\\n if(outputs.length>0)return cell;\\n }\\n }\\n return null;\\n }\\n\\n if(typeof window.IPython != \\\"undefined\\\"){\\n pr.then(function(selection){\\n try{\\n var html = selection.node().outerHTML;\\n var cell = searchCell(vis_id);\\n if(cell == null)throw new Error(\\\"The cell whose id is \\\" + vis_id + \\\" not found.\\\");\\n cell.output_area.outputs[0].data[\\\"text/html\\\"] = html;\\n }\\n catch(e){\\n console.warn(\\\"Maybe the front-end API of Jupyter has changed.\\\\nmessage:\\\" + e.message);\\n }\\n });\\n }\\n });\\n</script>\\n\""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"p.to_png"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Flexible size"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"<div id=\"msg-067a5883-b01a-4680-8af9-b4488d9d1dc8\" style=\"background-color: #555; width: 100%; color: #fff; padding: 5px; border-radius: 8px\">\n",
" <img src=\"https://dl.dropboxusercontent.com/u/47978121/cat.png\" style=\"display: inline; margin: 0px 5px;\">\n",
" <span>Inline JavaScript is disabled for some reason. Use <a href=\"\" style=\"color: rgb(58, 171, 210)\">nbviewer</a> to see plots.</span>\n",
"</div>\n",
"<div id='vis-067a5883-b01a-4680-8af9-b4488d9d1dc8'></div>\n",
"<script>\n",
" require.config({paths: {\n",
" Nyaplot: \"https://cdn.rawgit.com/domitry/Nyaplotjs/bb48705474f7878c0a83f267675e019658421b52/release/nyaplot\"\n",
" }});\n",
"\n",
" require([\"Nyaplot\"], function(Nyaplot){\n",
" d3.select('#msg-067a5883-b01a-4680-8af9-b4488d9d1dc8').remove();\n",
" Nyaplot.core.parse('#vis-067a5883-b01a-4680-8af9-b4488d9d1dc8', 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400], :domain=>[-0.3361099558663504, 0.7764507598646849]}>, :y=>#<Nyaplot::Layers::Scale:0x000000031eaae8 @uuid=\"d3a9b11e-2179-44d9-b422-d2f66c290cc9\", @props={:type=>\"linear\", :range=>[400, 0], :domain=>[-0.21702765407205366, 0.8838593001650503]}>}>}>], :width=>400, :height=>400}>, @title=#<Nyaplot::Layers::Label:0x000000031e99b8 @uuid=\"eb1e7c13-f36d-47a7-96eb-5d54201c25b0\", @props={:dx=>35, :text=>\"\", :font_size=>26, :text_anchor=>:start, :yalign=>:center, :xalign=>:center, :margin=>{:top=>0, :bottom=>20, :left=>5, :right=>5}}>, @xlabel=nil, @ylabel=nil>"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x = []; y = []; theta = 0.85; a=1\n",
"while theta < 14*Math::PI do\n",
" x.push(a*Math::cos(theta)/theta)\n",
" y.push(a*Math::sin(theta)/theta)\n",
" theta += 0.1\n",
"end\n",
"\n",
"p = Plot.from({x: x, y: y}).line(x: :x, y: :y)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
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\">"
],
"text/plain": [
"\"<div id='vis-54d8458a-6af6-4670-bc1f-356161d70138'></div>\\n<script>\\n require.config({paths: {\\n Nyaplot: \\\"https://cdn.rawgit.com/domitry/Nyaplotjs/bb48705474f7878c0a83f267675e019658421b52/release/nyaplot\\\"\\n }});\\n\\n require([\\\"Nyaplot\\\"], function(Nyaplot){\\n var vis_id = \\\"vis-54d8458a-6af6-4670-bc1f-356161d70138\\\";\\n var pr = Nyaplot.core.to_png('#'+vis_id, 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function searchCell(uuid){\\n var n = IPython.notebook.ncells();\\n for(var i=0; i<n; i++){\\n var cell = IPython.notebook.get_cell(i);\\n if(typeof cell.output_area != \\\"undefined\\\"){\\n var outputs = cell.output_area.outputs.filter(function(out){\\n var html = out.data[\\\"text/html\\\"];\\n if(typeof html == \\\"undefined\\\")return false;\\n if(html.includes(uuid))return true;\\n return false;\\n });\\n if(outputs.length>0)return cell;\\n }\\n }\\n return null;\\n }\\n\\n if(typeof window.IPython != \\\"undefined\\\"){\\n pr.then(function(selection){\\n try{\\n var html = selection.node().outerHTML;\\n var cell = searchCell(vis_id);\\n if(cell == null)throw new Error(\\\"The cell whose id is \\\" + vis_id + \\\" not found.\\\");\\n cell.output_area.outputs[0].data[\\\"text/html\\\"] = html;\\n }\\n catch(e){\\n console.warn(\\\"Maybe the front-end API of Jupyter has changed.\\\\nmessage:\\\" + e.message);\\n }\\n });\\n }\\n });\\n</script>\\n\""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"Plot.from({x: x, y: y}, width: 300, height: 300).line(x: :x, y: :y).to_png"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
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\">"
],
"text/plain": [
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function searchCell(uuid){\\n var n = IPython.notebook.ncells();\\n for(var i=0; i<n; i++){\\n var cell = IPython.notebook.get_cell(i);\\n if(typeof cell.output_area != \\\"undefined\\\"){\\n var outputs = cell.output_area.outputs.filter(function(out){\\n var html = out.data[\\\"text/html\\\"];\\n if(typeof html == \\\"undefined\\\")return false;\\n if(html.includes(uuid))return true;\\n return false;\\n });\\n if(outputs.length>0)return cell;\\n }\\n }\\n return null;\\n }\\n\\n if(typeof window.IPython != \\\"undefined\\\"){\\n pr.then(function(selection){\\n try{\\n var html = selection.node().outerHTML;\\n var cell = searchCell(vis_id);\\n if(cell == null)throw new Error(\\\"The cell whose id is \\\" + vis_id + \\\" not found.\\\");\\n cell.output_area.outputs[0].data[\\\"text/html\\\"] = html;\\n }\\n catch(e){\\n console.warn(\\\"Maybe the front-end API of Jupyter has changed.\\\\nmessage:\\\" + e.message);\\n }\\n });\\n }\\n });\\n</script>\\n\""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"p = Plot.from({x: x, y: y}, width: 150, height: 150).line(x: :x, y: :y)\n",
"p.xaxis.ticks(5)\n",
"p.yaxis.ticks(5)\n",
"p.to_png"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Change style"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
":my_style"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def my_style(p)\n",
" p.background.color(\"#fff\")\n",
" p.background.stroke_color(\"none\")\n",
" p.grid.color(\"#aaa\")\n",
" p.grid.dashed(true)\n",
" p\n",
"end"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div id=\"msg-57d7d4ab-9adb-45ae-be71-c87730aab83a\" style=\"background-color: #555; width: 100%; color: #fff; padding: 5px; border-radius: 8px\">\n",
" <img src=\"https://dl.dropboxusercontent.com/u/47978121/cat.png\" style=\"display: inline; margin: 0px 5px;\">\n",
" <span>Inline JavaScript is disabled for some reason. Use <a href=\"\" style=\"color: rgb(58, 171, 210)\">nbviewer</a> to see plots.</span>\n",
"</div>\n",
"<div id='vis-57d7d4ab-9adb-45ae-be71-c87730aab83a'></div>\n",
"<script>\n",
" require.config({paths: {\n",
" Nyaplot: \"https://cdn.rawgit.com/domitry/Nyaplotjs/bb48705474f7878c0a83f267675e019658421b52/release/nyaplot\"\n",
" }});\n",
"\n",
" require([\"Nyaplot\"], function(Nyaplot){\n",
" d3.select('#msg-57d7d4ab-9adb-45ae-be71-c87730aab83a').remove();\n",
" Nyaplot.core.parse('#vis-57d7d4ab-9adb-45ae-be71-c87730aab83a', 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},
"execution_count": 14,
"metadata": {},
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],
"source": [
"p = my_style Plot.from({x: x, y: y}, width: 300, height: 300).line(x: :x, y: :y)"
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},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
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},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x = (1..100).to_a.map{|v| v.to_f/10}\n",
"y = x.map{|x| Math.exp(x)}\n",
"p = Plot.from({x: x, y: y}, x: :x, y: :y).line"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
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" require([\"Nyaplot\"], function(Nyaplot){\n",
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"</script>\n"
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],
"source": [
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" require.config({paths: {\n",
" Nyaplot: \"https://cdn.rawgit.com/domitry/Nyaplotjs/bb48705474f7878c0a83f267675e019658421b52/release/nyaplot\"\n",
" }});\n",
"\n",
" require([\"Nyaplot\"], function(Nyaplot){\n",
" d3.select('#msg-6c7812dc-0ee8-48f9-8210-2877b742afc6').remove();\n",
" Nyaplot.core.parse('#vis-6c7812dc-0ee8-48f9-8210-2877b742afc6', 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"</script>\n"
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},
"execution_count": 17,
"metadata": {},
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],
"source": [
"p.yscale(:pow)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
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{
"data": {
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"<div style=\"background-color: #555; width: 100%; color: #fff; padding: 5px; border-radius: 8px\">\n",
"<img src=\"https://dl.dropboxusercontent.com/u/47978121/cat.png\" style=\"display: inline; margin: 0px 5px;\">\n",
"<span>Inline JavaScript is disabled for some reason. Use <a href=\"\" style=\"color: rgb(58, 171, 210)\">nbviewer</a> to see plots.</span>\n",
"</div>\n"
],
"text/plain": [
"\"<div style=\\\"background-color: #555; width: 100%; color: #fff; padding: 5px; border-radius: 8px\\\">\\n<img src=\\\"https://dl.dropboxusercontent.com/u/47978121/cat.png\\\" style=\\\"display: inline; margin: 0px 5px;\\\">\\n<span>Inline JavaScript is disabled for some reason. Use <a href=\\\"\\\" style=\\\"color: rgb(58, 171, 210)\\\">nbviewer</a> to see plots.</span>\\n</div>\\n\""
]
},
"metadata": {},
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}
],
"source": [
"html = <<EOF\n",
"<div style=\"background-color: #555; width: 100%; color: #fff; padding: 5px; border-radius: 8px\">\n",
"<img src=\"https://dl.dropboxusercontent.com/u/47978121/cat.png\" style=\"display: inline; margin: 0px 5px;\">\n",
"<span>Inline JavaScript is disabled for some reason. Use <a href=\"\" style=\"color: rgb(58, 171, 210)\">nbviewer</a> to see plots.</span>\n",
"</div>\n",
"EOF\n",
"\n",
"IRuby.display html, mime: 'text/html'"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Ruby",
"language": "ruby",
"name": "ruby"
},
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"name": "ruby",
"version": "2.1.5"
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