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@balzer82
Created May 3, 2018 08:34
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Sankey Diagramme der Wirkungsgrade von Otto- und Elektromotor
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Wirkungsgrad Verbrennungsmotor"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"from matplotlib.sankey import Sankey"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Ottomotor"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"VM = {\n",
" u'Chemische Energie': 100,\n",
" u'Kinetische\\nEnergie': -24,\n",
" u'Abgas': -40,\n",
" u'Mechanische Reibung\\nund Verluste durch\\nKühlwasser': -36\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 133,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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7To2KFC0a7XUskjMBk+xIvklyD8lVPm1lSc50K7DMJFnGbadb9WQjyRUkm7vt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\n/wOa641ALh+BzAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10e777978>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Sankey Diagramm erstellen\n",
"fig1 = plt.figure(frameon=False)\n",
"ax = plt.Axes(fig1, [0.05, 0.0, 0.9, 0.9])\n",
"ax.set_axis_off()\n",
"fig1.add_axes(ax)\n",
"\n",
"sankey = Sankey(ax=ax, scale=0.05, offset=1.0, head_angle=120,\n",
" format='%2.0f', unit='%', shoulder=0.2)\n",
"\n",
"sankey.add(flows=list(VM.values()),\n",
" orientations=[0, 0, -1, -1],\n",
" pathlengths =[5, 1, 1, 1],\n",
" labels=list(VM.keys()),\n",
" fc='#ADD8E6',\n",
" lw=0.5,\n",
" color='k'\n",
" )\n",
"\n",
"diagrams = sankey.finish()\n",
"ax.set_title('Wirkungsgrad Ottomotor');\n",
"\n",
"filename = 'Wirkungsgrad-Ottomotor.png'\n",
"fig1.savefig(filename, dpi=300, transparent=True, bbox_inches='tight', pad_inches=.1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Elektromotor"
]
},
{
"cell_type": "code",
"execution_count": 118,
"metadata": {},
"outputs": [],
"source": [
"EM = {\n",
" u'Elektrische Energie': 100,\n",
" u'Kinetische\\nEnergie': -96,\n",
" u'Wärmeenergie': -4\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 127,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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P5csMwIew7s/j6EkA36tqBKxT8AvGgK+GdQFzBIAHALxlL3/QXmcA/r7HzsMA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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x110838b70>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Sankey Diagramm erstellen\n",
"fig1 = plt.figure(frameon=False)\n",
"ax = plt.Axes(fig1, [0.05, 0.0, 0.9, 0.9])\n",
"ax.set_axis_off()\n",
"fig1.add_axes(ax)\n",
"\n",
"sankey = Sankey(ax=ax, scale=0.05, offset=1.0, head_angle=120,\n",
" format='%2.0f', unit='%', shoulder=0.2)\n",
"\n",
"sankey.add(flows=list(EM.values()),\n",
" orientations=[0, 0, -1],\n",
" pathlengths =[5, 1, .5],\n",
" labels=list(EM.keys()),\n",
" fc='#ADD8E6',\n",
" lw=0.5,\n",
" color='k'\n",
" )\n",
"\n",
"diagrams = sankey.finish()\n",
"ax.set_title('Wirkungsgrad Elektromotor');\n",
"\n",
"filename = 'Wirkungsgrad-Elektromotor.png'\n",
"fig1.savefig(filename, dpi=300, transparent=True, bbox_inches='tight', pad_inches=.1)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"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": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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