{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Nyaplot Tutorial 4: Introduction of charts bundled with Nyaplot"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Various types of diagrams are bundled with Nyaplot, but the usage is not so different. This notebook introduce a part of them."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"gem 'nyaplot', '0.1.4'\n",
"require 'nyaplot'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Bar chart"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div id='vis-4c5377a5-04b3-4e16-9568-7d552ac8ffeb'></div>\n",
"<script>\n",
"(function(){\n",
" var render = function(){\n",
" var model = {\"panes\":[{\"diagrams\":[{\"type\":\"bar\",\"options\":{\"x\":\"data0\",\"y\":\"data1\"},\"data\":\"621fd615-199a-4505-bcf3-e0d57fc463ac\"}],\"options\":{\"x_label\":\"Species\",\"y_label\":\"Number\",\"width\":700,\"xrange\":[\"Persian\",\"Maine Coon\",\"American Shorthair\"],\"yrange\":[0,30]}}],\"data\":{\"621fd615-199a-4505-bcf3-e0d57fc463ac\":[{\"data0\":\"Persian\",\"data1\":10},{\"data0\":\"Maine Coon\",\"data1\":20},{\"data0\":\"American Shorthair\",\"data1\":30}]},\"extension\":[]}\n",
" var id_name = '#vis-4c5377a5-04b3-4e16-9568-7d552ac8ffeb';\n",
" Nyaplot.core.parse(model, id_name);\n",
"\n",
" require(['downloadable'], function(downloadable){\n",
" var svg = d3.select(id_name).select(\"svg\");\n",
"\t if(!svg.empty())\n",
"\t svg.call(downloadable().filename('fig'));\n",
"\t});\n",
" };\n",
" if(window['Nyaplot']==undefined){\n",
" window.addEventListener('load_nyaplot', render, false);\n",
"\treturn;\n",
" } else {\n",
" render();\n",
" }\n",
"})();\n",
"</script>\n"
],
"text/plain": [
"#<Nyaplot::Frame:0x00000001e0e588 @properties={:panes=>[#<Nyaplot::Plot:0x00000001e1a680 @properties={:diagrams=>[#<Nyaplot::Diagram:0x00000001e0fb40 @properties={:type=>:bar, :options=>{:x=>\"data0\", :y=>\"data1\"}, :data=>\"621fd615-199a-4505-bcf3-e0d57fc463ac\"}, @xrange=[\"Persian\", \"Maine Coon\", \"American Shorthair\"], @yrange=[0, 30]>], :options=>{:x_label=>\"Species\", :y_label=>\"Number\", :width=>700, :xrange=>[\"Persian\", \"Maine Coon\", \"American Shorthair\"], :yrange=>[0, 30]}}>], :data=>{\"621fd615-199a-4505-bcf3-e0d57fc463ac\"=>#<Nyaplot::DataFrame:0x00000001e19050 @name=\"621fd615-199a-4505-bcf3-e0d57fc463ac\", @rows=[{:data0=>\"Persian\", :data1=>10}, {:data0=>\"Maine Coon\", :data1=>20}, {:data0=>\"American Shorthair\", :data1=>30}]>}, :extension=>[]}>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot = Nyaplot::Plot.new\n",
"plot.add(:bar, ['Persian', 'Maine Coon', 'American Shorthair'], [10,20,30])\n",
"plot.x_label(\"Species\")\n",
"plot.y_label(\"Number\")\n",
"plot.show"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Line chart"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
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" var id_name = '#vis-0897c9b9-0147-4965-a0c2-fcc00c0598ea';\n",
" Nyaplot.core.parse(model, id_name);\n",
"\n",
" require(['downloadable'], function(downloadable){\n",
" var svg = d3.select(id_name).select(\"svg\");\n",
"\t if(!svg.empty())\n",
"\t svg.call(downloadable().filename('fig'));\n",
"\t});\n",
" };\n",
" if(window['Nyaplot']==undefined){\n",
" window.addEventListener('load_nyaplot', render, false);\n",
"\treturn;\n",
" } else {\n",
" render();\n",
" }\n",
"})();\n",
"</script>\n"
],
"text/plain": [
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]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x = []; y = []; theta = 0.6; 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",
"plot1 = Nyaplot::Plot.new\n",
"plot1.add(:line, x, y)\n",
"plot1.show"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Scatter"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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"<div id='vis-dc575852-2dd0-4259-9678-a957d2c71573'></div>\n",
"<script>\n",
"(function(){\n",
" var render = function(){\n",
" var model = {\"panes\":[{\"diagrams\":[{\"type\":\"scatter\",\"options\":{\"x\":\"data0\",\"y\":\"data1\",\"color\":\"#000\",\"title\":\"point\"},\"data\":\"3885dff9-22a2-4156-9b9b-f82a6df0adfc\"},{\"type\":\"line\",\"options\":{\"x\":\"data0\",\"y\":\"data1\",\"title\":\"line\"},\"data\":\"c1595c0c-f007-4b42-a5b4-307c0f8f4f40\"}],\"options\":{\"legend\":true,\"zoom\":true,\"width\":800,\"xrange\":[0,9.5],\"yrange\":[3.0,8.222206626796984]}}],\"data\":{\"3885dff9-22a2-4156-9b9b-f82a6df0adfc\":[{\"data0\":0,\"data1\":3.5717641934645874},{\"data0\":0.5,\"data1\":3.715420124549053},{\"data0\":1.0,\"data1\":3.6037975619502403},{\"data0\":1.5,\"data1\":3.5091984536317042},{\"data0\":2.0,\"data1\":3.3501109380749376},{\"data0\":2.5,\"data1\":4.302284411742796},{\"data0\":3.0,\"data1\":5.055859799714784},{\"data0\":3.5,\"data1\":4.737096359614108},{\"data0\":4.0,\"data1\":5.439557391794491},{\"data0\":4.5,\"data1\":5.871793017995919},{\"data0\":5.0,\"data1\":5.661487081527091},{\"data0\":5.5,\"data1\":6.384087246028164},{\"data0\":6.0,\"data1\":6.065996025869617},{\"data0\":6.5,\"data1\":6.952463656081336},{\"data0\":7.0,\"data1\":6.235884519442135},{\"data0\":7.5,\"data1\":6.720988916526677},{\"data0\":8.0,\"data1\":7.09117756849423},{\"data0\":8.5,\"data1\":7.486390742413492},{\"data0\":9.0,\"data1\":8.222206626796984},{\"data0\":9.5,\"data1\":7.785960341572528}],\"c1595c0c-f007-4b42-a5b4-307c0f8f4f40\":[{\"data0\":0,\"data1\":3.0},{\"data0\":0.5,\"data1\":3.25},{\"data0\":1.0,\"data1\":3.5},{\"data0\":1.5,\"data1\":3.75},{\"data0\":2.0,\"data1\":4.0},{\"data0\":2.5,\"data1\":4.25},{\"data0\":3.0,\"data1\":4.5},{\"data0\":3.5,\"data1\":4.75},{\"data0\":4.0,\"data1\":5.0},{\"data0\":4.5,\"data1\":5.25},{\"data0\":5.0,\"data1\":5.5},{\"data0\":5.5,\"data1\":5.75},{\"data0\":6.0,\"data1\":6.0},{\"data0\":6.5,\"data1\":6.25},{\"data0\":7.0,\"data1\":6.5},{\"data0\":7.5,\"data1\":6.75},{\"data0\":8.0,\"data1\":7.0},{\"data0\":8.5,\"data1\":7.25},{\"data0\":9.0,\"data1\":7.5},{\"data0\":9.5,\"data1\":7.75}]},\"extension\":[]}\n",
" var id_name = '#vis-dc575852-2dd0-4259-9678-a957d2c71573';\n",
" Nyaplot.core.parse(model, id_name);\n",
"\n",
" require(['downloadable'], function(downloadable){\n",
" var svg = d3.select(id_name).select(\"svg\");\n",
"\t if(!svg.empty())\n",
"\t svg.call(downloadable().filename('fig'));\n",
"\t});\n",
" };\n",
" if(window['Nyaplot']==undefined){\n",
" window.addEventListener('load_nyaplot', render, false);\n",
"\treturn;\n",
" } else {\n",
" render();\n",
" }\n",
"})();\n",
"</script>\n"
],
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]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sc_y=[]; line_x=sc_x=[]; line_y=[]; a=0.5; b=3; noise=1.5; x=0\n",
"rnd = Random.new\n",
"while x<10\n",
" line_x.push(x)\n",
" line_y.push(a*x+b)\n",
" sc_y.push(a*x+b+noise*(rnd.rand-0.5))\n",
" x=(x+0.5).round(1)\n",
"end\n",
"plot2 = Nyaplot::Plot.new\n",
"sc = plot2.add(:scatter, sc_x, sc_y)\n",
"line = plot2.add(:line, line_x, line_y)\n",
"sc.color('#000')\n",
"sc.title('point')\n",
"line.title('line')\n",
"plot2.legend(true)\n",
"plot2.show"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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"<script>\n",
"(function(){\n",
" var render = function(){\n",
" var model = {\"panes\":[{\"diagrams\":[{\"type\":\"scatter\",\"options\":{\"x\":\"data0\",\"y\":\"data1\",\"color\":\"#fff\",\"title\":\"point\",\"shape\":[\"triangle-up\"]},\"data\":\"3885dff9-22a2-4156-9b9b-f82a6df0adfc\"},{\"type\":\"line\",\"options\":{\"x\":\"data0\",\"y\":\"data1\",\"title\":\"line\"},\"data\":\"c1595c0c-f007-4b42-a5b4-307c0f8f4f40\"}],\"options\":{\"legend\":true,\"zoom\":true,\"width\":800,\"xrange\":[0,9.5],\"yrange\":[3.0,8.222206626796984]}}],\"data\":{\"3885dff9-22a2-4156-9b9b-f82a6df0adfc\":[{\"data0\":0,\"data1\":3.5717641934645874},{\"data0\":0.5,\"data1\":3.715420124549053},{\"data0\":1.0,\"data1\":3.6037975619502403},{\"data0\":1.5,\"data1\":3.5091984536317042},{\"data0\":2.0,\"data1\":3.3501109380749376},{\"data0\":2.5,\"data1\":4.302284411742796},{\"data0\":3.0,\"data1\":5.055859799714784},{\"data0\":3.5,\"data1\":4.737096359614108},{\"data0\":4.0,\"data1\":5.439557391794491},{\"data0\":4.5,\"data1\":5.871793017995919},{\"data0\":5.0,\"data1\":5.661487081527091},{\"data0\":5.5,\"data1\":6.384087246028164},{\"data0\":6.0,\"data1\":6.065996025869617},{\"data0\":6.5,\"data1\":6.952463656081336},{\"data0\":7.0,\"data1\":6.235884519442135},{\"data0\":7.5,\"data1\":6.720988916526677},{\"data0\":8.0,\"data1\":7.09117756849423},{\"data0\":8.5,\"data1\":7.486390742413492},{\"data0\":9.0,\"data1\":8.222206626796984},{\"data0\":9.5,\"data1\":7.785960341572528}],\"c1595c0c-f007-4b42-a5b4-307c0f8f4f40\":[{\"data0\":0,\"data1\":3.0},{\"data0\":0.5,\"data1\":3.25},{\"data0\":1.0,\"data1\":3.5},{\"data0\":1.5,\"data1\":3.75},{\"data0\":2.0,\"data1\":4.0},{\"data0\":2.5,\"data1\":4.25},{\"data0\":3.0,\"data1\":4.5},{\"data0\":3.5,\"data1\":4.75},{\"data0\":4.0,\"data1\":5.0},{\"data0\":4.5,\"data1\":5.25},{\"data0\":5.0,\"data1\":5.5},{\"data0\":5.5,\"data1\":5.75},{\"data0\":6.0,\"data1\":6.0},{\"data0\":6.5,\"data1\":6.25},{\"data0\":7.0,\"data1\":6.5},{\"data0\":7.5,\"data1\":6.75},{\"data0\":8.0,\"data1\":7.0},{\"data0\":8.5,\"data1\":7.25},{\"data0\":9.0,\"data1\":7.5},{\"data0\":9.5,\"data1\":7.75}]},\"extension\":[]}\n",
" var id_name = '#vis-9202f791-b408-43c8-b31c-d67983e2c39e';\n",
" Nyaplot.core.parse(model, id_name);\n",
"\n",
" require(['downloadable'], function(downloadable){\n",
" var svg = d3.select(id_name).select(\"svg\");\n",
"\t if(!svg.empty())\n",
"\t svg.call(downloadable().filename('fig'));\n",
"\t});\n",
" };\n",
" if(window['Nyaplot']==undefined){\n",
" window.addEventListener('load_nyaplot', render, false);\n",
"\treturn;\n",
" } else {\n",
" render();\n",
" }\n",
"})();\n",
"</script>\n"
],
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"#<Nyaplot::Frame:0x0000000236b058 @properties={:panes=>[#<Nyaplot::Plot:0x00000001fc9b48 @properties={:diagrams=>[#<Nyaplot::Diagram:0x00000002233f78 @properties={:type=>:scatter, :options=>{:x=>\"data0\", :y=>\"data1\", :color=>\"#fff\", :title=>\"point\", :shape=>[\"triangle-up\"]}, :data=>\"3885dff9-22a2-4156-9b9b-f82a6df0adfc\"}, @xrange=[0, 9.5], @yrange=[3.3501109380749376, 8.222206626796984]>, #<Nyaplot::Diagram:0x00000002231ed0 @properties={:type=>:line, :options=>{:x=>\"data0\", :y=>\"data1\", :title=>\"line\"}, :data=>\"c1595c0c-f007-4b42-a5b4-307c0f8f4f40\"}, @xrange=[0, 9.5], @yrange=[3.0, 7.75]>], :options=>{:legend=>true, :zoom=>true, :width=>800, :xrange=>[0, 9.5], :yrange=>[3.0, 8.222206626796984]}}>], :data=>{\"3885dff9-22a2-4156-9b9b-f82a6df0adfc\"=>#<Nyaplot::DataFrame:0x00000001fc95f8 @name=\"3885dff9-22a2-4156-9b9b-f82a6df0adfc\", @rows=[{:data0=>0, :data1=>3.5717641934645874}, {:data0=>0.5, :data1=>3.715420124549053}, {:data0=>1.0, :data1=>3.6037975619502403}, {:data0=>1.5, :data1=>3.5091984536317042}, {:data0=>2.0, :data1=>3.3501109380749376}, {:data0=>2.5, :data1=>4.302284411742796}, {:data0=>3.0, :data1=>5.055859799714784}, {:data0=>3.5, :data1=>4.737096359614108}, {:data0=>4.0, :data1=>5.439557391794491}, {:data0=>4.5, :data1=>5.871793017995919}, {:data0=>5.0, :data1=>5.661487081527091}, {:data0=>5.5, :data1=>6.384087246028164}, {:data0=>6.0, :data1=>6.065996025869617}, {:data0=>6.5, :data1=>6.952463656081336}, {:data0=>7.0, :data1=>6.235884519442135}, {:data0=>7.5, :data1=>6.720988916526677}, {:data0=>8.0, :data1=>7.09117756849423}, {:data0=>8.5, :data1=>7.486390742413492}, {:data0=>9.0, :data1=>8.222206626796984}, {:data0=>9.5, :data1=>7.785960341572528}]>, \"c1595c0c-f007-4b42-a5b4-307c0f8f4f40\"=>#<Nyaplot::DataFrame:0x000000022335f0 @name=\"c1595c0c-f007-4b42-a5b4-307c0f8f4f40\", @rows=[{:data0=>0, :data1=>3.0}, {:data0=>0.5, :data1=>3.25}, {:data0=>1.0, :data1=>3.5}, {:data0=>1.5, :data1=>3.75}, {:data0=>2.0, :data1=>4.0}, {:data0=>2.5, :data1=>4.25}, {:data0=>3.0, :data1=>4.5}, {:data0=>3.5, :data1=>4.75}, {:data0=>4.0, :data1=>5.0}, {:data0=>4.5, :data1=>5.25}, {:data0=>5.0, :data1=>5.5}, {:data0=>5.5, :data1=>5.75}, {:data0=>6.0, :data1=>6.0}, {:data0=>6.5, :data1=>6.25}, {:data0=>7.0, :data1=>6.5}, {:data0=>7.5, :data1=>6.75}, {:data0=>8.0, :data1=>7.0}, {:data0=>8.5, :data1=>7.25}, {:data0=>9.0, :data1=>7.5}, {:data0=>9.5, :data1=>7.75}]>}, :extension=>[]}>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sc.shape([\"triangle-up\"])\n",
"sc.color('#fff')\n",
"plot2.show"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Histogram"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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" var id_name = '#vis-9174f354-63d2-46bf-b4f6-68cfac9b22d7';\n",
" Nyaplot.core.parse(model, id_name);\n",
"\n",
" require(['downloadable'], function(downloadable){\n",
" var svg = d3.select(id_name).select(\"svg\");\n",
"\t if(!svg.empty())\n",
"\t svg.call(downloadable().filename('fig'));\n",
"\t});\n",
" };\n",
" if(window['Nyaplot']==undefined){\n",
" window.addEventListener('load_nyaplot', render, false);\n",
"\treturn;\n",
" } else {\n",
" render();\n",
" }\n",
"})();\n",
"</script>\n"
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]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"require 'distribution'\n",
"rng = Distribution::Normal.rng\n",
"arr = []\n",
"1000.times {arr.push(rng.call)}\n",
"plot3 = Nyaplot::Plot.new\n",
"plot3.add(:histogram, arr)\n",
"plot3.yrange([0,300])\n",
"plot3.show"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Box plot"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"\"\""
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"arr2 = arr.map{|val| val/0.8-2}\n",
"arr3 = arr.map{|val| val*1.1+0.3}\n",
"arr4 = arr.map{|val| val*1.3+0.3}\n",
"\"\""
]
},
{
"cell_type": "code",
"execution_count": 8,
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" var id_name = '#vis-5a0329bd-70a2-4a05-9ad1-96f7ee2d8542';\n",
" Nyaplot.core.parse(model, id_name);\n",
"\n",
" require(['downloadable'], function(downloadable){\n",
" var svg = d3.select(id_name).select(\"svg\");\n",
"\t if(!svg.empty())\n",
"\t svg.call(downloadable().filename('fig'));\n",
"\t});\n",
" };\n",
" if(window['Nyaplot']==undefined){\n",
" window.addEventListener('load_nyaplot', render, false);\n",
"\treturn;\n",
" } else {\n",
" render();\n",
" }\n",
"})();\n",
"</script>\n"
],
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{:data0=>-0.5259010244747315, :data1=>-2.6573762805934145, :data2=>-0.27849112692220473, :data3=>-0.383671331817151}, {:data0=>-1.0542499079373016, :data1=>-3.317812384921627, :data2=>-0.8596748987310319, :data3=>-1.0705248803184921}]>}, :extension=>[]}>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"plot4 = Nyaplot::Plot.new\n",
"plot4.add(:box, arr, arr2, arr3, arr4)\n",
"plot4.show"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2D Histogram"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
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"<script>\n",
"(function(){\n",
" var render = function(){\n",
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" var id_name = '#vis-8368abd3-8801-48f9-aa20-8f646c9a484f';\n",
" Nyaplot.core.parse(model, id_name);\n",
"\n",
" require(['downloadable'], function(downloadable){\n",
" var svg = d3.select(id_name).select(\"svg\");\n",
"\t if(!svg.empty())\n",
"\t svg.call(downloadable().filename('fig'));\n",
"\t});\n",
" };\n",
" if(window['Nyaplot']==undefined){\n",
" window.addEventListener('load_nyaplot', render, false);\n",
"\treturn;\n",
" } else {\n",
" render();\n",
" }\n",
"})();\n",
"</script>\n"
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]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"x=[]; y=[]; fill=[]\n",
"-5.step(5, 0.2) do |i|\n",
" -5.step(5, 0.2) do |j|\n",
" x.push(i)\n",
" y.push(j)\n",
" val = Math.sin(Math.sqrt(i*i+j*j))/Math.sqrt(i*i+j*j)\n",
" fill.push((val.nan? ? 0 : val))\n",
" end\n",
"end\n",
"\n",
"plot5 = Nyaplot::Plot.new\n",
"hm = plot5.add(:heatmap, x, y, fill)\n",
"hm.stroke_color(\"#fff\")\n",
"hm.stroke_width(\"0\")\n",
"hm.width(0.2)\n",
"hm.height(0.2)\n",
"plot5.legend(true)\n",
"plot5.show"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Ruby",
"language": "ruby",
"name": "ruby"
},
"language_info": {
"name": "ruby",
"version": "2.1.2"
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},
"nbformat": 4,
"nbformat_minor": 0
}