Skip to content

Instantly share code, notes, and snippets.

@liu246542
Last active May 7, 2019 18:44
Show Gist options
  • Save liu246542/8f2ae8fe656cec87e34c1dfa2f6b30ef to your computer and use it in GitHub Desktop.
Save liu246542/8f2ae8fe656cec87e34c1dfa2f6b30ef to your computer and use it in GitHub Desktop.
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import altair as alt\n",
"alt.renderers.enable('notebook')\n",
"import pandas as pd\n",
"from decimal import Decimal"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"t_bp=0.718\n",
"t_ep=1.228\n",
"t_em=1.245\n",
"t_mph=2.606"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"scheme_1 = [Decimal(2*t_bp + 2*t_ep + (2*n+2)*t_em).quantize(Decimal(\"0.00\")) for n in range(2,11)]\n",
"scheme_2 = [Decimal(3*t_bp + 4*t_ep + (2*n)*t_em + 2*t_mph).quantize(Decimal(\"0.00\")) for n in range(2,11)]\n",
"scheme_3 = [Decimal((n + 1)*t_em + t_bp).quantize(Decimal(\"0.00\")) for n in range(2,11)]\n",
"\n",
"index = list(range(2,11))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"dataset={\n",
" 'number of group members' : index * 3,\n",
" 'time (ms)' : [float(x) for x in scheme_1 + scheme_2 + scheme_3],\n",
" 'schemes' : ['schemeIV'] * 9 + ['schemeV'] * 9 + ['Our scheme'] * 9\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"var spec = {\"config\": {\"view\": {\"width\": 400, \"height\": 300}, \"mark\": {\"tooltip\": null}}, \"data\": {\"name\": \"data-9079078bb51253a6519317d09eaf7a99\"}, \"mark\": {\"type\": \"line\", \"point\": true}, \"encoding\": {\"color\": {\"type\": \"nominal\", \"field\": \"schemes\"}, \"tooltip\": [{\"type\": \"quantitative\", \"field\": \"time (ms)\"}], \"x\": {\"type\": \"quantitative\", \"field\": \"number of group members\"}, \"y\": {\"type\": \"quantitative\", \"field\": \"time (ms)\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v3.2.1.json\", \"datasets\": {\"data-9079078bb51253a6519317d09eaf7a99\": [{\"number of group members\": 2, \"time (ms)\": 11.36, \"schemes\": \"schemeIV\"}, {\"number of group members\": 3, \"time (ms)\": 13.85, \"schemes\": \"schemeIV\"}, {\"number of group members\": 4, \"time (ms)\": 16.34, \"schemes\": \"schemeIV\"}, {\"number of group members\": 5, \"time (ms)\": 18.83, \"schemes\": \"schemeIV\"}, {\"number of group members\": 6, \"time (ms)\": 21.32, \"schemes\": \"schemeIV\"}, {\"number of group members\": 7, \"time (ms)\": 23.81, \"schemes\": \"schemeIV\"}, {\"number of group members\": 8, \"time (ms)\": 26.3, \"schemes\": \"schemeIV\"}, {\"number of group members\": 9, \"time (ms)\": 28.79, \"schemes\": \"schemeIV\"}, {\"number of group members\": 10, \"time (ms)\": 31.28, \"schemes\": \"schemeIV\"}, {\"number of group members\": 2, \"time (ms)\": 17.26, \"schemes\": \"schemeV\"}, {\"number of group members\": 3, \"time (ms)\": 19.75, \"schemes\": \"schemeV\"}, {\"number of group members\": 4, \"time (ms)\": 22.24, \"schemes\": \"schemeV\"}, {\"number of group members\": 5, \"time (ms)\": 24.73, \"schemes\": \"schemeV\"}, {\"number of group members\": 6, \"time (ms)\": 27.22, \"schemes\": \"schemeV\"}, {\"number of group members\": 7, \"time (ms)\": 29.71, \"schemes\": \"schemeV\"}, {\"number of group members\": 8, \"time (ms)\": 32.2, \"schemes\": \"schemeV\"}, {\"number of group members\": 9, \"time (ms)\": 34.69, \"schemes\": \"schemeV\"}, {\"number of group members\": 10, \"time (ms)\": 37.18, \"schemes\": \"schemeV\"}, {\"number of group members\": 2, \"time (ms)\": 4.45, \"schemes\": \"Our scheme\"}, {\"number of group members\": 3, \"time (ms)\": 5.7, \"schemes\": \"Our scheme\"}, {\"number of group members\": 4, \"time (ms)\": 6.94, \"schemes\": \"Our scheme\"}, {\"number of group members\": 5, \"time (ms)\": 8.19, \"schemes\": \"Our scheme\"}, {\"number of group members\": 6, \"time (ms)\": 9.43, \"schemes\": \"Our scheme\"}, {\"number of group members\": 7, \"time (ms)\": 10.68, \"schemes\": \"Our scheme\"}, {\"number of group members\": 8, \"time (ms)\": 11.92, \"schemes\": \"Our scheme\"}, {\"number of group members\": 9, \"time (ms)\": 13.17, \"schemes\": \"Our scheme\"}, {\"number of group members\": 10, \"time (ms)\": 14.41, \"schemes\": \"Our scheme\"}]}};\n",
"var opt = {};\n",
"var type = \"vega-lite\";\n",
"var id = \"f8a0fe76-187b-47b0-aba5-7e1641eac668\";\n",
"\n",
"var output_area = this;\n",
"\n",
"require([\"nbextensions/jupyter-vega/index\"], function(vega) {\n",
" var target = document.createElement(\"div\");\n",
" target.id = id;\n",
" target.className = \"vega-embed\";\n",
"\n",
" var style = document.createElement(\"style\");\n",
" style.textContent = [\n",
" \".vega-embed .error p {\",\n",
" \" color: firebrick;\",\n",
" \" font-size: 14px;\",\n",
" \"}\",\n",
" ].join(\"\\\\n\");\n",
"\n",
" // element is a jQuery wrapped DOM element inside the output area\n",
" // see http://ipython.readthedocs.io/en/stable/api/generated/\\\n",
" // IPython.display.html#IPython.display.Javascript.__init__\n",
" element[0].appendChild(target);\n",
" element[0].appendChild(style);\n",
"\n",
" vega.render(\"#\" + id, spec, type, opt, output_area);\n",
"}, function (err) {\n",
" if (err.requireType !== \"scripterror\") {\n",
" throw(err);\n",
" }\n",
"});\n"
],
"text/plain": [
"<vega.vegalite.VegaLite at 0x7f1fed6d4be0>"
]
},
"metadata": {
"jupyter-vega": "#f8a0fe76-187b-47b0-aba5-7e1641eac668"
},
"output_type": "display_data"
},
{
"data": {
"text/plain": []
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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"
},
"metadata": {
"jupyter-vega": "#f8a0fe76-187b-47b0-aba5-7e1641eac668"
},
"output_type": "display_data"
}
],
"source": [
"alt.Chart(pd.DataFrame(dataset)).mark_line(point=True).encode(\n",
" x = 'number of group members',\n",
" y = 'time (ms)',\n",
" color = 'schemes',\n",
" tooltip = ['time (ms)']\n",
")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment