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{
"cells": [
{
"cell_type": "code",
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"execution_count": 1,
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"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from importlib import reload\n",
"import utility\n",
"\n",
"reload(utility)\n",
"from utility import *\n",
"\n",
"from scipy.optimize import curve_fit\n",
"from SecondaryValue import SecondaryValue\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
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"execution_count": 2,
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"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"area = 26 # cm^2\n",
"int_ein = 100e-3 # w/cm^2"
]
},
{
"cell_type": "code",
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"execution_count": 30,
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"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
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"ccurves = load_and_analyze([\n",
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" ('a', '3x3_hell', 6),\n",
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" # ('b_1', '3x3_schaltung_1', 6),\n",
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" ('b_2', '3x3_schaltung_2', 6),\n",
" ('b_31', '3x3_schaltung_3', 6),\n",
" ('b_41', '3x3_schaltung_4', 6),\n",
" ('c_1', '3x3_verschattung_1', 6),\n",
" ('c_2', '3x3_verschattung_2', 6),\n",
" ('c_3', '3x3_verschattung_3', 6),\n",
" ('d_1', 'huge_hell', 13),\n",
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" ('d_2', 'huge_verbraucher', 13)],\n",
" int_ein,\n",
" area=area,\n",
" formatter='../messungen/191114_OM_VB/3_{}.dat'.format,\n",
" columns=['desc', 'curve', 'area', 'j_c', 'u_cc', 'ff', 'eta', 'p_mlp', 'u_mlp', 'i_mlp'])\n"
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]
},
{
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"cell_type": "code",
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"execution_count": 60,
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"metadata": {
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"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
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"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
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"outputs": [
{
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"name": "stdout",
"output_type": "stream",
"text": [
"3x3_hell 0.6245592293371117\n",
"3x3_schaltung_2 3.9739599014265616\n",
"3x3_schaltung_3 4931.589315361373\n"
]
},
{
"name": "stdout",
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"output_type": "stream",
"text": [
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"3x3_schaltung_4 8.664709675467378\n",
"3x3_verschattung_1 0.8625916754957227\n",
"3x3_verschattung_2 0.6626737582881355\n"
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]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
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"3x3_verschattung_3 0.8200366083399457\n",
"huge_hell 5.476550562755263\n",
"huge_verbraucher 3.959582958538259\n"
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]
},
{
"data": {
"image/png": [
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],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
"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
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
"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
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
"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
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
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"source": [
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"def lin(x, a, b):\n",
" return a*x + b\n",
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"rs = dict()\n",
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"for _, curve in ccurves.iterrows():\n",
" c = curve['curve']\n",
" cg = c[c[:,1] > 0]\n",
" popt, pcov = curve_fit(lin, *cg.T)\n",
" f, a = plot_ccurve(c, label='Kennlinie')\n",
" a.plot(c[:,0], lin(c[:,0], *popt), zorder=1000, label='Fit $1/R_S$')\n",
" a.legend()\n",
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" save_fig(f, curve['desc'] + '_rs.pdf')\n",
" rs[curve['desc']] = 1/popt[0]\n",
" print(curve['desc'], 1/popt[0])\n",
" "
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]
},
{
"cell_type": "code",
2019-11-23 16:29:20 +01:00
"execution_count": null,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 54,
2019-11-18 21:13:55 +01:00
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
2019-11-23 16:08:23 +01:00
{
2019-11-23 16:29:20 +01:00
"ename": "KeyError",
"evalue": "'aht'",
"output_type": "error",
"traceback": [
"\u001b[0;31m\u001b[0m",
"\u001b[0;31mTypeError\u001b[0mTraceback (most recent call last)",
"\u001b[0;32m/usr/lib/python3.8/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_value\u001b[0;34m(self, series, key)\u001b[0m\n\u001b[1;32m 4735\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4736\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mlibindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_value_box\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4737\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mIndexError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.get_value_box\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.get_value_at\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/_libs/util.pxd\u001b[0m in \u001b[0;36mpandas._libs.util.get_value_at\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/_libs/util.pxd\u001b[0m in \u001b[0;36mpandas._libs.util.validate_indexer\u001b[0;34m()\u001b[0m\n",
"\u001b[0;31mTypeError\u001b[0m: 'str' object cannot be interpreted as an integer",
"\nDuring handling of the above exception, another exception occurred:\n",
"\u001b[0;31mKeyError\u001b[0mTraceback (most recent call last)",
"\u001b[0;32m<ipython-input-54-48ba4aec6918>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mccurves\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'3x3_hell'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'aht'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/usr/lib/python3.8/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 1069\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply_if_callable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1070\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1071\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1072\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1073\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mis_scalar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/lib/python3.8/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_value\u001b[0;34m(self, series, key)\u001b[0m\n\u001b[1;32m 4742\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mInvalidIndexError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4743\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4744\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0me1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4745\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# pragma: no cover\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4746\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0me1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/usr/lib/python3.8/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_value\u001b[0;34m(self, series, key)\u001b[0m\n\u001b[1;32m 4728\u001b[0m \u001b[0mk\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_convert_scalar_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"getitem\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4729\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4730\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtz\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mseries\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"tz\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4731\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4732\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mholds_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_boolean\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_value\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_value\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
"\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
"\u001b[0;31mKeyError\u001b[0m: 'aht'"
]
}
],
"source": [
"ccurves.loc['3x3_hell']['aht']"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"name": "stdout",
2019-11-23 16:08:23 +01:00
"output_type": "stream",
"text": [
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"3x3_hell 4829.672875332989\n",
"3x3_schaltung_2 12.260149943835113\n",
"3x3_schaltung_3 27.32225131778705\n"
2019-11-23 16:08:23 +01:00
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
2019-11-23 16:29:20 +01:00
"3x3_schaltung_4 3.4871621315913117\n",
"3x3_verschattung_1 781.1210886930061\n",
"3x3_verschattung_2 500.4631310673579\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"3x3_verschattung_3 1079.1258349574764\n",
"huge_hell 430.64220644999955\n",
"huge_verbraucher 23.011077088185388\n"
2019-11-23 16:08:23 +01:00
]
},
{
"data": {
"image/png": [
2019-11-23 16:29:20 +01:00
"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
2019-11-23 16:08:23 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
2019-11-23 16:29:20 +01:00
"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
2019-11-23 16:08:23 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
2019-11-23 16:29:20 +01:00
"iVBORw0KGgoAAAANSUhEUgAAAaUAAAEGCAYAAADFWoruAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdd3hU1dbA4d8iJNTQpAeQ0KKAAiJdISoqYsGGol5FReEqVgQFsaBXrugFe8UGfipeLAhSRECiolJE6UUCRAjdwEAS0mZmfX/MgRtwkkwaM0PW+zx55pS991lziFnuPXv2EVXFGGOMCQXlgh2AMcYYc4QlJWOMMSHDkpIxxpiQYUnJGGNMyLCkZIwxJmSUD3YAoa5GjRraokWLYIdRZOnp6VSpUiXYYRRJOMeekpKCx+Ohbt26wQ6lyML5/oPFH2zLly//S1XrFLaeJaUC1KtXj19//TXYYRRZQkIC8fHxwQ6jSMI59kmTJuFyuXjggQeCHUqRhfP9B4s/2ETkz6LUs+E7Y4wxIcOSkjHGmJBhSckYY0zIsKRkjDEmZAQ1KYlIHxHZKCKJIjLSz3kRkVec86tE5KyC6opILRGZJyKbnNeazvFTRGShiKSJyGsn5h0aY4wpjKAlJRGJAF4HLgFaAzeISOvjil0CtHR+BgNvBlB3JLBAVVsCC5x9gEzgcWB4ab0nY4wxxRPMnlJnIFFVt6hqNvAp0O+4Mv2AD9VnMVBDRBoUULcfMNnZngxcCaCq6aq6CF9yMsYYE4KC+T2lGGB7rv1koEsAZWIKqFtPVXcBqOouESn0txdFZDC+nhl16tQhISGhsE2EjLS0tLCNP5xjd7lceDyesI0fwvv+g8UfTBEpG4ioWqteUeoGMymJn2PHP9wprzKB1C0yVZ0ITASIi4vTcP4CWzh/AS+cY09KSsLlcoVt/BDe9x8s/mBw7fgD17ThNP3reyKq1m1UlDaCmZSSgca59hsBOwMsE5VP3T0i0sDpJTUA9pZo1MYYY46x/8ABtn71DO22fUh5bzl+bHoPnrS3kovSVjA/U1oGtBSRWBGJAgYAM44rMwO4xZmF1xU46AzN5Vd3BjDQ2R4ITC/tN2KMMWXR/rQs5n32JuXf7ELHP99lU+3zmdZjOm2uexJP2v49RWkzaD0lVXWLyD3AXCACeF9V14rIP53zbwGzgb5AInAYuC2/uk7T44CpIjII2Ab0P3JNEUkCqgFRInIlcJGqriv1N2uMMSeZg0kr2TPlPi7MWsHeKq1Y2ObfnNv7Cm6uElWsdoO6IKuqzsaXeHIfeyvXtgJDA63rHE8BLsijTtNihGuMMWXegZR9JE97nDbJU6mvlZh8yn1cftuj9IuuVCLt2yrhxhhjCrQ/LZPVX79Gp82v0jrnIKsbXM3vLYZyRbczqFXM3lFulpSMMcbk6+CmXzj42X30yv6DHdXa8UurkZx/Xm/alWAyOsKSkjHGGL8O7E1m75cjidv9NZlag7drj6T/bcO4tmqFUrumJSVjjDHH2H8onQ0zxtNx69vEujNZ1ugWVje7k/5dTyvRoTp/LCkZY4w56tC6+WRMG0b3nD/ZWrM7S1qN4KKe59CplJPREZaUjDHG4Nq5mf3ThtNs33cc8NblpXpPc8vAfzKgFIfq/LGkZIwxZdh+10G2fDWW9tsmEeWBn079J+ubDuSWLi1KfajOH0tKxhhTFqmSuuIrPDNHcrZnNxtP6c2yVsPoe04negQhGR1hSckYY8oY17a1pE4bRuMDi9nhbcx7DcYz+JaB/COIyegIS0rGGFNG7N+fwvZpT9I2+RPEW4GFzR5iU5PrGdw5NihDdf5YUjLGmJOd10vaso+ImPsEZ3hcrK1/Bb+1uI/Lu5/JeSGSjI6wpGSMMSexg5uXkTF9GPUPreJ3bwtmNPwX9958PWeEWDI6wpKSMcachA7s28nuLx/ltF1fka3RzG35BEmNruDeTqeGzFCdP5aUjDHmZOJxk/7zRKIWjqWFJ4PfYm5gVfMh9OvamotDOBkdYUnJGGNOEoc2LCTn6+Gckp7Ij562zGn8AMNv6kfHMEhGR1hSMsaYMHdgdxIpX46gxd5vSdbafH36c+ys35vhnZqE9FCdP5aUjDEmXOVkcviHl6m86AUqeT380uRO1sbextVdWoZdMjrCkpIxxoSh1FUz8c55hOoZyczxdGJBk/t4dEAfuoVpMjrCkpIxxoQRV/J6Dn45nFP3L2KTN4b5Z7zKX3V78OjZjcO2d5RbuWBeXET6iMhGEUkUkZF+zouIvOKcXyUiZxVUV0Rqicg8EdnkvNbMdW6UU36jiFxc+u/QGGNKSFYaGbMfo+q751ArZTnfN72fhPO+5Ly+AxjSq/lJkZAgiD0lEYkAXgcuBJKBZSIyQ1XX5Sp2CdDS+ekCvAl0KaDuSGCBqo5zktVI4BERaQ0MANoADYH5ItJKVT0n4v0aY0yRqJL266fIvMepkr2Pz9w9WdR0KE/2P59eJ0kiyi2Yw3edgURV3QIgIp8C/YDcSakf8KGqKrBYRGqISAOgaT51+wHxTv3JQALwiHP8U1XNAraKSKITwy/5BXn48GEmTZpU3PcaNC6Xi6SkpGCHUSThHPvu3btxu932uxNEJ0P8u9f9zFkpX9LKs4mV3mZMrzyI7ZHNaM8eZnz2SbBDLBXBTEoxwPZc+8n4ekMFlYkpoG49Vd0FoKq7RKRurrYW+2nrb0RkMDAYoH79+rhcrgDfUujxeDxhG384x+52u1HVsI0fwvv+Q3jHX8F7mHMOf0eHnF9xUZW3yw1gUVQXWkel0abcLnLSIDzfWcGCmZTEzzENsEwgdYtyPd9B1YnARIC4uDh94IEHCmg6dCUkJBAfHx/sMIoknGOfNGkSLpcL+90JnrCM3+sh/Zf3iFj4ApHuVD70XMSvTYfwrxvOZUiYDdU9+OCDRaoXzKSUDDTOtd8I2Blgmah86u4RkQZOL6kBsLcQ1zPGmKA4tPFHsr4eTp20DSz2nk5C/UHUbHM+/zpJZtUFKpiz75YBLUUkVkSi8E1CmHFcmRnALc4svK7AQWdoLr+6M4CBzvZAYHqu4wNEpIKIxOKbPLG0tN6cMcYEJHU3WVPvoNqUy8hJ3cusuLGsPP8j2rRocVLNqgtU0HpKquoWkXuAuUAE8L6qrhWRfzrn3wJmA32BROAwcFt+dZ2mxwFTRWQQsA3o79RZKyJT8U2GcANDbeadMSZo3Nkc/vE1yi/6DxHeHF51X8ma2Nt59opu1KoSRUJCcrAjDIqgfnlWVWfjSzy5j72Va1uBoYHWdY6nABfkUWcsMLYYIRtjTLGlrpmDZ9Yj1Mj4k3mes9je6TGiqjfl2TI2VOePrehgjDEnyv6tZM8eSXTiN2zx1mdh25fYW68n/S0ZHWVJyRhjSlv2YTIW/ofIJa8BEYzLGcDm5jfz3KWdLRkdx5KSMcaUFlVSf/8c5j5GdNZupnl6sK/Lo9SMbsBz1jvyy5KSMcaUhj3ryJk1guhti1jrPZU17Sbiqn22DdUVwJKSMcaUpAwXmfOeIer393FHVOWpnNvY2fx6xvfpaMkoAJaUjDGmJHi9pC2ZRMR3T1Mh5yAfu88nrdPDNK5Sm2HWOwqYJSVjjCmu5F9xzxxO1d2/s8zbio0dXuFwrTZcb8mo0CwpGWNMUaXtJeubJ6iwZgqZkbUZnX03h1pcyYSLOlgyKiJLSsYYU1ieHNIXvUn5H56jvDeTt9yX4+4yjNaVq9tEhmKypGSMMYWxJQH3rIepkrKRBE87ks5+DKnRnBstGZUIS0rGGBMI1zayZ48i6o+ZpFWMYXj2Q3haXMyE3jZUV5IsKRljTH5yMjic8CKRv7yMoPwn5zoqdLuXThWr2FBdKbCkZIwx/qiSuuIrdO6jVMvcyUxPV3Z1GU216BhLRqXIkpIxxhxv3x++1RiSEtjgbczcM95gf92uloxOAEtKxhhzROYhMuY/S9TyiXjKVWRszi1sb34j/+lrqzGcKJaUjDHG6yVt2cfIgjFUzk7hU3c8B7s9QoOqdbnPekcnlCUlY0zZtvN3cmaOoOrOZfzubcH
2019-11-23 16:08:23 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
2019-11-23 16:29:20 +01:00
"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
2019-11-23 16:08:23 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
2019-11-23 16:29:20 +01:00
"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
2019-11-23 16:08:23 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
2019-11-18 21:13:55 +01:00
{
"data": {
"image/png": [
2019-11-23 16:29:20 +01:00
"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
2019-11-18 21:13:55 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
2019-11-23 16:29:20 +01:00
"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
2019-11-18 21:13:55 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
2019-11-23 16:29:20 +01:00
"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
2019-11-18 21:13:55 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
2019-11-23 16:29:20 +01:00
"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
2019-11-23 16:08:23 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for _, curve in ccurves.iterrows():\n",
" c = curve['curve']\n",
" cg = c[c[:,0] < -.1]\n",
" popt, pcov = curve_fit(lin, *cg.T)\n",
" f, a = plot_ccurve(c, label='Kennlinie')\n",
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" a.plot(c[:,0], lin(c[:,0], *popt), zorder=1000, label='Fit $1/(R_S+R_P)$')\n",
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" a.legend()\n",
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" save_fig(f, curve['desc'] + '_rsrp.pdf')\n",
"\n",
" print(curve['desc'],1/popt[0]-rs[curve['desc']])"
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]
},
{
"cell_type": "markdown",
"metadata": {
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"source": [
"# Plot all ccurves"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"image/png": [
"iVBORw0KGgoAAAANSUhEUgAAAbwAAAEGCAYAAAAe4SDMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nO3df5xV9X3n8ddbFDUIKgYRgURUHBej9VeRZI0hq2nAdcW0oeJuIyZuyQ/T1WTTFps2zbZlNdlN27iaqGlSMG01kE0im0CiEifRJqj4IxhUIsIYUYoGMoQfysD42T/O9+BluHPvnTt35t479/18PO5j7nzP9/u9n3MY5jPn+/2ecxQRmJmZDXUH1TsAMzOzweCEZ2ZmLcEJz8zMWoITnpmZtQQnPDMzawkH1zuAVnXUUUfFySefXO8wqrZz505GjBhR7zCq1szxb9myhe7ubo499th6h1KVZj724Pjr7dFHH/1VRIyppq0TXp2MHTuWVatW1TuMqrW3tzN9+vR6h1G1Zo5/4cKFdHZ2ct1119U7lKo087EHx19vkp6vtm1TDGlKmiFpraR1kuYX2S5JN6XtqyWdXa6tpNGS7pX0bPp6dMG261P9tZLeW1B+jqQn07abJKlg2+9LekrSGkn/MjBHwszMqtXwCU/SMOAWYCYwBbhC0pQe1WYCk9NrHvDlCtrOB1ZExGRgRfqetH0OcBowA/hS6ofU77yCz5qR2kwGrgf+fUScBjTnn95mZkNYwyc8YCqwLiLWR0QXcBcwq0edWcAdkVkJHCVpXJm2s4BF6f0i4LKC8rsiYndEbADWAVNTf6Mi4qeR3Z7mjoI2fwjcEhG/BoiIl2t6BMzMrN+aYQ5vPPBCwfcbgfMqqDO+TNuxEbEJICI2ScpXAIwHVhbpa09637Mc4BQASf8KDAM+GxHf77kjkuaRnSEyZswY2tvbi+5wM9ixY4fjr5POzk66u7ubNv5mPvbQ+PFLYsSIEQwbNqzo9lGjRvH4448PclR9193dzc6dO6nl7S+bIeGpSFnPI9BbnUraVvp5pfo6mGyIczowAXhA0tsionO/yhG3A7cDtLW1RTNPHDf7xHczx9/R0UFnZ2fTxt/Mxx4aP/4NGzYwcuRIjjnmGAqWGeyzfft2Ro4cWYfIKhcRbNmyhe3btzNp0qSa9dsMQ5obgYkF308AXqqwTqm2m9MwJelrPgxZqq8JvfS1Ebg7IvakYdC1ZAnQzGxQvfbaa70mu2YhiWOOOYbXXnutpv02Q8J7BJgsaZKk4WQLSpb2qLMUuDKt1pwGbEvDlaXaLgXmpvdzgbsLyudIOlTSJLLE9XDqb7ukaWl15pUFbb4DvBtA0pvJhjjX1/AYmJlVrJmTXW4g9qHhhzQjYq+kjwM/IJsf+1pErJH0kbT9VmAZcDHZApNdwAdLtU1d3wgslnQ18EtgdmqzRtJi4ClgL3BNRHSnNh8FFgKHA8vTi9T/70h6CugG/jgitgzE8TAz67cH/x7Gnw2TLui9zoYfw4uPwfmNs+h8684uhh0xemy17ZvhDI+IWBYRp0TESRGxIJXdmpIdaXXmNWn76RGxqlTbVL4lIi6MiMnp69aCbQtS/baIWF5Qvioi3pa2fTyt1sw//5MRMSV9/l2DcVzMzKoy/mxYclWW1IrZ8ONs+/izi28vQxIf+MAH9n2/d+9exowZwyWXXAJkN08YM2YMZ555JlOmTOErX/lKRf0uWfUCw44YPaF8zeKaIuGZmVkNTboAZi8snvTyZDd7YekzwBJGjBjBz3/+c1599VUA7r33XsaPH79fncsvv5wnnniC9vZ2/uzP/ozNmzeX7Xf2uRPp3rF1Y9mKvXDCMzNrRcWSXg2SXW7mzJl873vfA+DOO+/kiiuuKFrv2GOP5aSTTuL558vfMWz0iOF079haPjP2ouHn8MzMrErL58O/Pblf0eHde2FYwa/+kePg6+/Lvm7fBGNOhfbPZa9ijjsdZt5Y9qPnzJnDX/3VX3HJJZewevVqPvShD/HAAw8cUG/9+vWsX7+ewbiZvhOemVkrO+yoLNltewGOnJh9XwNnnHEGHR0d3HnnnVx88cUHbP/GN77Bgw8+yKGHHsptt93G6NGje+1r684ulqx6gdnnTuy1TiWc8MzMhqoiZ2Kv9rzwPB/GvOBPYNVXYfqf9ns4M3fppZfyqU99ivb2drZs2X/h+uWXX87NN99cUT9LVr3ADcuf6Xc8TnhmZq2q55zdpHfWbA4P4EMf+hBHHnkkp59+er9ux5af2c0+dyIf6Uc8XrRiZtaKii1QKbV6swoTJkzg2muv7Xc/o0cM58PvOonRI4b3qx8nPDOzVlNqNWYNkt6OHTsOKJs+fTrf/e53AbjqqqsqHs6sJSc8M7NW8+JjpYct86T34mODGdWA8xyemVmrqeR2YZMuqNnilWq9/npw24+eY/a5E/s9nAk+wzMzG3Jq+Qy5eokIdnZ1c8PyZ1iy6oXyDSrghGdmNoQcdthhbNmypamTXv48vKNGvonrZ57a7+vvch7SNDMbQiZMmMDGjRt55ZVXim5/7bXXOOywwwY5qr477LDDmPTWt3DKyYfUrE8nPDOzIeSQQw4p+ZTw9vZ2zjrrrEGMqHF4SNPMzBrO1p1d3Paj59i6s6tmfTrhmZlZw8lvJ1arBSvgIU0zM2tAhbcTqxUnPDMzazj57cRqyUOaZmbWEpzwzMysYQzEYpWcE56ZmTWMgViskvMcnpmZNYyBWKySc8IzM7OGMRCLVXIe0jQzs5bghGdmZnU3kItVck54ZmZWdwO5WCXnOTwzM6u7gVyskmuKMzxJMyStlbRO0vwi2yXpprR9taSzy7WVNFrSvZKeTV+PLth2faq/VtJ7C8rPkfRk2naTJPWI4/2SQtK5tT8KZmZDV75YpRZPNu9Nwyc8ScOAW4CZwBTgCklTelSbCUxOr3nAlytoOx9YERGTgRXpe9L2OcBpwAzgS6kfUr/zCj5rRkGcI4H/BjxUq303M7PaafiEB0wF1kXE+ojoAu4CZvWoMwu4IzIrgaMkjSvTdhawKL1fBFxWUH5XROyOiA3AOmBq6m9URPw0skcJ31HQBuCvgc8Dr9Vu183Mhr7BWLACzTGHNx4onMXcCJxXQZ3xZdqOjYhNABGxSdKxBX2tLNLXnvS+ZzmSzgImRsR3JX2qtx2RNI/sDJExY8bQ3t7eW9WGt2PHDsdfJ52dnXR3dzdt/M187MHxD4RlG7pYvHYPz61/josnDdyQZjMkPBUpiwrrVNK20s8rWi7pIODvgKvK9EtE3A7cDtDW1hbTp08v16Rhtbe34/jro6Ojg87OzqaNv5mPPTj+gXDGb3dx0qoXmH3uxAGdw2uGhLcRKFy2MwF4qcI6w0u03SxpXDq7Gwe8XKavjel9z/KRwNuA9rSG5ThgqaRLI2JVH/bTzKwlDeTdVQo1wxzeI8BkSZMkDSdbULK0R52lwJVpteY0YFsarizVdikwN72fC9xdUD5H0qGSJpEtTnk49bdd0rS0OvNK4O6I2BYRb46IEyLiBLLhUCc7M7MG0/BneBGxV9LHgR8Aw4CvRcQaSR9J228FlgEXky0w2QV8sFTb1PWNwGJJVwO/BGanNmskLQaeAvYC10REd2rzUWAhcDiwPL3MzKwKW3d2sWQQhjJzDZ/wACJiGVlSKyy7teB9ANdU2jaVbwEu7KXNAmBBkfJVZMOXpWKdXmq7mZll8rurAIMypNkUCc/MzIaewbi7SiEnPDMzq4vBWqySa4ZFK2ZmZv3mhGdmZoNqsO6s0pMTnpmZDarBeBRQMZ7DMzOzQTXYi1VyTnhmZjaoBnuxSs5DmmZmNmjqNX8HTnhmZjaI6jV/Bx7SNDOzQVSv+TtwwjMzs0FUr/k78JCmmZm1CCc8MzMbcPVcrJJzwjMzswFXz8UqOc/hmZnZgKvnYpWcE56ZmQ24ei5WyXlI08zMWkLFZ3iSRldQ7fWI6OxHPGZmNoRs3dnFklUvMPvciYweMbyusfRlSPOl9FKJOsOAt/QrIjMzGzLyxSpA3Yc0+5Lwno6Is0pVkPR4P+MxM7M
2019-11-18 21:13:55 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
2019-11-23 16:08:23 +01:00
"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
2019-11-18 21:13:55 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
2019-11-23 16:08:23 +01:00
"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
2019-11-18 21:13:55 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
2019-11-23 16:08:23 +01:00
"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
2019-11-18 21:13:55 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
2019-11-23 16:08:23 +01:00
"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
2019-11-18 21:13:55 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
2019-11-23 16:08:23 +01:00
"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
2019-11-18 21:13:55 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
2019-11-23 16:08:23 +01:00
"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
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
"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
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
"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
2019-11-18 21:13:55 +01:00
],
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for _, curve in ccurves.iterrows():\n",
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" plot_ccurve(curve['curve'], area=area * curve['area'],\n",
" save=f'C/{curve[\"desc\"]}.pdf', mlp=[curve['u_mlp'], curve['i_mlp']])"
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]
},
{
"cell_type": "code",
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"execution_count": 16,
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"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
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"desc huge_hell\n",
"curve [[-1.0, -0.1947314], [-0.9775, -0.1942969], [-...\n",
"area 13\n",
"j_c 0.0147647\n",
"u_cc 7.02243\n",
"ff 0.653348\n",
"eta 0.677416\n",
"p_mlp 0.880641\n",
"u_mlp 5.3225\n",
"i_mlp -0.1654561994540209\n",
"Name: huge_hell, dtype: object"
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]
},
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"execution_count": 16,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ccurves.loc['huge_hell']"
]
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},
{
"cell_type": "code",
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"execution_count": 24,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
"ccurves['j_c']=ccurves['j_c']*1000"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\\begin{tabular}{lrrrr}\n",
"\\toprule\n",
" desc & j\\_c & u\\_cc & ff & eta \\\\\n",
"\\midrule\n",
" 3x3\\_hell & 0.134430 & 1.62 & 0.60 & 0.001315 \\\\\n",
" 3x3\\_schaltung\\_1 & 0.098249 & 1.67 & 0.26 & 0.000427 \\\\\n",
" 3x3\\_schaltung\\_2 & 0.096670 & 1.65 & 0.26 & 0.000414 \\\\\n",
" 3x3\\_schaltung\\_3 & 0.000076 & 1.53 & 0.25 & 0.000000 \\\\\n",
" 3x3\\_schaltung\\_4 & 0.037735 & 1.46 & 0.26 & 0.000144 \\\\\n",
" 3x3\\_verschattung\\_1 & 0.001228 & 1.43 & 0.65 & 0.000011 \\\\\n",
" 3x3\\_verschattung\\_2 & 0.063305 & 1.57 & 0.69 & 0.000684 \\\\\n",
" 3x3\\_verschattung\\_3 & 0.004057 & 1.48 & 0.76 & 0.000045 \\\\\n",
" huge\\_hell & 0.021841 & 7.02 & 0.65 & 0.001002 \\\\\n",
" huge\\_verbraucher & 0.026106 & 6.11 & 0.29 & 0.000467 \\\\\n",
"\\bottomrule\n",
"\\end{tabular}\n",
"\n"
]
}
],
"source": [
"print(ccurves[['desc', 'j_c', 'u_cc', 'ff', 'eta']].round({'j_c': 6, 'u_cc': 2, 'ff': 2, 'eta': 6}).to_latex(index=False))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": [
".to_latex(index=False))"
]
},
{
"cell_type": "code",
"execution_count": 16,
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"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/html": [
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"<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>desc</th>\n <th>curve</th>\n <th>area</th>\n <th>j_c</th>\n <th>u_cc</th>\n <th>ff</th>\n <th>eta</th>\n <th>p_mlp</th>\n <th>u_mlp</th>\n <th>i_mlp</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>3x3_hell</th>\n <td>3x3_hell</td>\n <td>[[-1.5, -0.5417189], [-1.4825, -0.5438931], [-...</td>\n <td>4056</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>1.0</td>\n <td>0.0</td>\n <td>1.0</td>\n <td>1.0</td>\n <td>-0.4693348714285935</td>\n </tr>\n <tr>\n <th>3x3_schaltung_1</th>\n <td>3x3_schaltung_1</td>\n <td>[[-1.5, -0.4987553], [-1.4825, -0.4996429], [-...</td>\n <td>4056</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>1.0</td>\n <td>-0.20828160714286892</td>\n </tr>\n <tr>\n <th>3x3_schaltung_2</th>\n <td>3x3_schaltung_2</td>\n <td>[[-1.5, -0.5053194], [-1.4825, -0.5066954], [-...</td>\n <td>4056</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>1.0</td>\n <td>-0.20258660000002998</td>\n </tr>\n <tr>\n <th>3x3_schaltung_3</th>\n <td>3x3_schaltung_3</td>\n <td>[[-1.5, -0.0006112836], [-1.4825, -0.000607707...</td>\n <td>4056</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>1.0</td>\n <td>-0.00015580096971469002</td>\n </tr>\n <tr>\n <th>3x3_schaltung_4</th>\n <td>3x3_schaltung_4</td>\n <td>[[-1.5, -0.2743212], [-1.4825, -0.2720917], [-...</td>\n <td>4056</td>\n <td>0.0</td>\n <td>1.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>1.0</td>\n <td>-0.07911919453640125</td>\n </tr>\n <tr>\n <th>3x3_verschattung_1</th>\n <td>3x3_verschattung_1</td>\n <td>[[-1.0, -0.006214225], [-0.97, -0.006181907], ...</td>\n <td>4056</td>\n <td>0.0</td>\n <td>1.0</td>\n <td>1.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>1.0</td>\n <td>-0.0039047434763039633</td>\n </tr>\n <tr>\n <th>3x3_verschattung_2</th>\n <td>3x3_verschattung_2</td>\n <td>[[-1.0, -0.2602277], [-0.98, -0.2602689], [-0....</td>\n <td>4056</td>\n <td>0.0</td>\n <td>2.0</td>\n <td>1.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>1.0</td>\n <td>-0.22754981766503463</td>\n </tr>\n <tr>\n <th>3x3_verschattung_3</th>\n <td>3x3_verschattung_3</td>\n <td>[[-1.0, -0.01750273], [-0.98, -0.01755973], [-...</td>\n <td>4056</td>\n <td>0.0</td>\n <td>1.0</td>\n <td>1.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>1.0</td>\n <td>-0.014582063482794307</td>\n </tr>\n <tr>\n <th>huge_hell</th>\n <td>huge_hell</td>\n <td>[[-1.0, -0.1947314], [-0.9775, -0.1942969], [-...</td>\n <td>8788</td>\n <td>0.0</td>\n <td>7.0</td>\n <td>1.0</td>\n <td>0.0</td>\n <td>1.0</td>\n <td>5.0</td>\n <td>-0.1654561994540209</td>\n </tr>\n <tr>\n <th>huge_verbraucher</th>\n <td>huge_verbraucher</td>\n <td>[[-1.0, -0.2670641], [-0.9775, -0.258778], [-0...</td>\n <td>8788</td>\n <td>0.0</td>\n <td>6.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>0.0</td>\n <td>4.0</td>\n <td>-0.10818945820239775</td>\n </tr>\n </tbody>\n</table>\n</div>"
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],
"text/plain": [
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" desc \\\n3x3_hell 3x3_hell \n3x3_schaltung_1 3x3_schaltung_1 \n3x3_schaltung_2 3x3_schaltung_2 \n3x3_schaltung_3 3x3_schaltung_3 \n3x3_schaltung_4 3x3_schaltung_4 \n3x3_verschattung_1 3x3_verschattung_1 \n3x3_verschattung_2 3x3_verschattung_2 \n3x3_verschattung_3 3x3_verschattung_3 \nhuge_hell huge_hell \nhuge_verbraucher huge_verbraucher \n\n curve area \\\n3x3_hell [[-1.5, -0.5417189], [-1.4825, -0.5438931], [-... 4056 \n3x3_schaltung_1 [[-1.5, -0.4987553], [-1.4825, -0.4996429], [-... 4056 \n3x3_schaltung_2 [[-1.5, -0.5053194], [-1.4825, -0.5066954], [-... 4056 \n3x3_schaltung_3 [[-1.5, -0.0006112836], [-1.4825, -0.000607707... 4056 \n3x3_schaltung_4 [[-1.5, -0.2743212], [-1.4825, -0.2720917], [-... 4056 \n3x3_verschattung_1 [[-1.0, -0.006214225], [-0.97, -0.006181907], ... 4056 \n3x3_verschattung_2 [[-1.0, -0.2602277], [-0.98, -0.2602689], [-0.... 4056 \n3x3_verschattung_3 [[-1.0, -0.01750273], [-0.98, -0.01755973], [-... 4056 \nhuge_hell [[-1.0, -0.1947314], [-0.9775, -0.1942969], [-... 8788 \nhuge_verbraucher [[-1.0, -0.2670641], [-0.9775, -0.258778], [-0... 8788 \n\n j_c u_cc ff eta p_mlp u_mlp i_mlp \n3x3_hell 0.0 2.0 1.0 0.0 1.0 1.0 -0.4693348714285935 \n3x3_schaltung_1 0.0 2.0 0.0 0.0 0.0 1.0 -0.20828160714286892 \n3x3_schaltung_2 0.0 2.0 0.0 0.0 0.0 1.0 -0.20258660000002998 \n3x3_schaltung_3 0.0 2.0 0.0 0.0 0.0 1.0 -0.00015580096971469002 \n3x3_schaltung_4 0.0 1.0 0.0 0.0 0.0 1.0 -0.07911919453640125 \n3x3_verschattung_1 0.0 1.0 1.0 0.0 0.0 1.0 -0.0039047434763039633 \n3x3_verschattung_2 0.0 2.0 1.0 0.0 0.0 1.0 -0.22754981766503463 \n3x3_verschattung_3 0.0 1.0 1.0 0.0 0.0 1.0 -0.014582063482794307 \nhuge_hell 0.0 7.0 1.0 0.0 1.0 5.0 -0.1654561994540209 \nhuge_verbraucher 0.0 6.0 0.0 0.0 0.0 4.0 -0.10818945820239775 "
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]
},
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"execution_count": 16,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
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"ccurves.round()"
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]
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}
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