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{
"cells": [
{
"cell_type": "code",
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"execution_count": 15,
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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": 16,
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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",
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"int_ein = 100e-3/3 # w/cm^2"
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]
},
{
"cell_type": "code",
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"execution_count": 17,
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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": 18,
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"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"3x3_hell 10.255106\n3x3_schaltung_2 3.232008\n3x3_schaltung_3 0.002270\n3x3_schaltung_4 1.125927\n3x3_verschattung_1 0.089359\n3x3_verschattung_2 5.338654\n3x3_verschattung_3 0.353334\nhuge_hell 7.816337\nhuge_verbraucher 3.641795\nName: eta, dtype: float64"
]
},
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"execution_count": 18,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ccurves['eta']*100"
]
},
{
"cell_type": "code",
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"execution_count": 19,
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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": [
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"3x3_hell 0.6245592293371117\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
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"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"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
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"3x3_verschattung_1 0.8625916754957227\n",
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"3x3_verschattung_2 0.6626737582881355\n",
"3x3_verschattung_3 0.8200366083399457\n"
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]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
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"huge_hell 5.476550562755263\n",
"huge_verbraucher 3.959582958538259\n"
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]
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"iVBORw0KGgoAAAANSUhEUgAAAWEAAAEZCAIAAADJ7AMsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAALEgAACxIB0t1+/AAAIABJREFUeNrt3WdAFOfWB/Czjd57L1IUFLGgYARFjQlqFFs0CbbEnqu8xjS93hhM1RsTo94kakxM1ESi0kSxK0UjIEoH6bBsg2U7W9ndeT9sQBQ1aAQWOL9Py7DMPJyZ/TMzzJwhEQQBCCH0GGQsAUIIMwIhhBmBEMKMQAhhRiCEMCMQQv0Eta8WTCKRsPoI9aFuXvdA7tsh6pvk5GR9G1JhYWFcXByPx8Na9cch6e2o8FgDIYTnIxBCA/h8xCMPPeRyuVqt7sMxGBoaisXinjsFY2BgYGhoiJsdwox4ahqNpr6+nkqlUql9OSRPT0+JRNJzIahQKCwsLBwcHHDLQ5gRT0ckEpmYmDg7O/ftMExNTa2srHpu/lqttqqqys7OjkzGozzUP+jLlqrRaGg02sAvN5lMpVL79ngKoX6ZEQghzIiB48qVKx27PyKRSCQStba2YlkQZkT/lpeXN27cuE8//fTChQvHjx+fM2cOAGzatKmkpAQAGAxG1x8pLS3ds2dPfHz8Q9MrKyt1L3g83uLFiw8cOJCZmXngwIGu70RID32UVGzc7VOR1MFTl5CQkGHDhk2aNGny5MkAYG1trdVqP//8c1NTUwA4efLk5s2bH/oRPz+/qqqqhoaGzhOzs7NDQ0N1rx0cHEQi0caNG01MTOrr6xcvXvzaa6/hJoj0VgNPVlVTtZr+/mVHSn/OiNs/gYj+7D9u4wNjlj3h+wRBJCYmzpgxQyqV7t69e9GiRQRBHDp0yMfHx9vbu/P/NQwMDLreV5KXl7dhwwbda5FIRKPRTExMCII4cuTIli1bcCtE+iwp/sdl3N3WNDVfTvTnjKhIA2bes/+4V8QTMuLGjRu3b982Nzc3MTEBABcXFw6HM23atICAgOjoaKFQ+OR5q1SqzhdBZWZm+vr6ZmVlHThw4KOPPho2bBgAqNXqO3fuCIVCmUw2b9483C6RPjiZXWWa8ekm+RmRuS9p6dGq/wzvzxmxJKHn5h0eHj558uTc3Ny/fv8HL9nSarVP/vHz589HRUV1fJmenv7GG29EREQolcojR47s2rULAL7//vvly5dbWloePHgQN03U59o0Wn59UXj6W87yWvmYVZazPgfqU1zsO7j+r9Fxx9v48eMf+haFQgGAW7duPe5HdBobG93d3Tu+vHnz5gsvvAAA9+7do1Aouuu43dzcNm3adPz48dWrV+MGivrciR//a3FsuhNZpHzthHH07qcKiMGVEdnZ2TQa7c6dO/fu3dNNkUgkdXV1BQUFALBs2bLjx48/dKFnWVlZWVlZU1NTXl4eAPD5fFtb247s+OOPP1xdXcvKygBg1KhRUqk0MzNTpVLNmDHju+++YzAY2dnZuIGiPpRXWnlvz8xlnC/rTUZq1twwCpjxDDMZRP/XCAsLCwsL6zzF3Nz8s88+073W/Sv0ofMRgYGBgYGBHV+mpqbOnz9f95pEIi1evHjx4sUdhzDh4eEAcPnyZV1MmJmZ+fv742aK+oqq8rpf0iojtZgX8UnA1Fh41q5OVCxl90kkEnNz8ye/JyAgQCqVXr58efHixXZ2dlg01Ac0bemHP5zE/tnY2pcx9fchQaH/ZGaYEU9h2bJlf/seNzc3ABg6dCiWC/WJ+ooCs7NrIyX3rhlOHffmr0MsLP7hDDEjnoLFPy43Qj2r8IRzyjtSDZUx4+epYQueyywxIxAaEBTiqp9X+TVfbHOdWDJmZ8SYkc9rxpgRCPV7rOIM87T1Psqmw9TFcxbvnWRh/BxnjhmBUH+mVUPmV04Z/63XOrHnpawaFf7clzC4ro/45JNPvv/+ey6XCwB79+798ssvBQLBU82ksrLy7bff1mq1MpksKyvrke+5cOECbrqoNwgbOfumQfpOgc/cyuhU3+CJPbGQQZQRYWFhFRUVAQEB9vb2CoXC1tb2vffes7a2fqqZ+Pv7CwQCgiAkEonupvKucnJynur5BQg9g+bsP1T/m2Ajrd5OfUc1+/uoMb7knnmuVf871mAJ5WQyycnC6FkSkUwmk8m66xdiYmI67ulsaWmRSCTe3t4qlUp3tTWHw3F0dCSRSDwej0Kh0Gg0jUaj+7+G7hYPMzMz3f1aD72hra1t5cqVujnLZLKGhgZ/f3/dhd4IPR9KiSZ1s0PJybuEn8GrP38yYmSPLq3/7UfM2JsVvf/mM/+4SCRas2aNiYlJR0CcPHkyKytLKBQeOnSIzWYvWrQoJSWFwWDExsYCwPHjx//1r3+VlZVt27attra2Yz4VFRXLly/v+oampqZ58+ZpNJp79+7t3bvX0tLy448/xq0aPTfMO8JvJ0BJAiM4tnlhSkBgUE8vsP9lxPpIn/VThjzzj1dVVe3Zs2fLli0dl13v2rXLxcVFpVLl5uZ6enp6eXmNHTs2JCSExWIBQFRUlLGx8bhx48aOHVtaWtoxnzFjxtjY2HR9g5ubm+4O8d27d3t4eDQ2NjIYDJlMhts2+qcILefiHs3hlwxImg/Nv6RN2xYV5Eoh9/hzc/vfsca6yT7/5MdDQkIcHBy2bt0aGxt79OhR3bGDrq9UaGioLjjs7e2h033iui9JJNLj7hx/5Bva2tpCQkKGDh3a0bQKoWfWxmtsO73KiZ19ThvqFH1o91CvXlv0IDpnKRaLeTweg8FQq9Xz5s0rKSn58ccflUrlsmXLLl68qNVqz58/r1QqBQIBi8USiUTNzc1SqZTFYrW0tCgUiqampubmZrlczufzdW9oamqSyWSPfAOHw9mwYcOpU6eg/S4v3MrRsys/o/nhBS27sGLCbtfVJ8f4e/Xmwkl9dQaeRHpg0Vwul0Qi9ehNUOXl5QKBQKvVjhgxgkwmFxUVkclkPz8/e3v74uJioVAYFhZWXV0tEAiMjY2NjY0FAoGDg0NzczNBEO7u7nQ6nSAIDw8PBoNhbGxsZGQkEAjc3d0ZDEbXN1hYWIwYMYLJZFZWVgYHB+uOSnRqamrc3d0NDAy6OeyioqKkpKSNGzd2nok+SElJiY6OxiH17Kja5PV/vO9VfUxkM/IH263r50+3NKb1xAdwQB1rPLOAgIDOX+pu5dYJCvrrxI+zs/NDb/Px+evQpqO1jIeHR+c3dEzv+gZXV1dXV1f8K4ieDbs82+jMak8F46h2Rsj877a42fbJMPA6S4T0jlqj5V/b5/DnZ82EeeG040vCZ/bQtQ+YEQj1Q63NzJ+Xe/L/bHKdXh365YQRvn0YEHqUEWQyWaPRDIYNQKPR4CVV6HHyrpzyvvG+G0We4LBh8uvbI8wM+3xI+pIRpqamjY2NVCr1oUbVvUwmk/XoE72lUimNRsOMQF0V1XNYpz6MkqaUgXfL/KQFw0frycD0JSOMjIzc3NzEYrFcLu/DYdTV1Xl7e/fc/A0NDR0dHfHzgDpjixTpNzJfKvt3UGs1c9iywEW7gWKgP8PrwYxITEy0t7evra3VXbP8t3T/cezjPb28vM7/70CoR0lV6puVXIOiY3MrvyIbWYgW/O46cqa+DbKn9qsvXryoUCgiIiK0Wm16ejpuDQh1RhDQwJMlZRVR/ngjsvJzqdN48robVvoXED24H3Ht2jXd86ycnJzS09MjIyO7vufs2bP6Vo7GxkZ9GxWPxwOA69evd36GINaqvwzpkaPiK0mlfIJZV/q98Q/GVGm+81Km88tw445+xllPZYRIJNJt0yYmJiKRqGN6XFzcjh07dK91D7/RN/o2Kt3FcOXl5VirfjqkzqOSEzS62uKW0uVLo2NfGlzhauziKW80N9tDc6E+7/P0iHfffffSpUsEQZw7d27btm1d39Bzi/4nkpOT9W1IhYWFcXFxPB4Pa9Ufh9QxKgZfdvpOo+eHZ/+4cKX+8zHEx5bEmVhCJeurUXX/A9hT5yMmTZqku7eayWTqnoiJ0OA878CWQcIdxsRd15pEived7y7Mi/GkCeGNeJi9F2jG+v8r9FRGvPLKK1KpND09XaPRzJw5E7cVNNio1Nr0Cu4fefSdhVS2SBHlY7y
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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"iVBORw0KGgoAAAANSUhEUgAAAWEAAAEZCAIAAADJ7AMsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAALEgAACxIB0t1+/AAAIABJREFUeNrtnXlcVNX7x5/ZB5gZ9n0ZdhUV3PhCKYpmRmqSqZWpmZpbX+tXWX21bxHtli3+Sn+KmZamKIKCa6goiCa4I8i+7wwzw+zMDDP3/v64QSS4BswAz/sPXjNn7tw58zn3fjjnzDnPQyNJEhAEQe4CHSVAEAQ9AkEQ9AgEQdAjEARBj0AQBD0CQZB+AtPcKkSj0bBVEKQPeMB1D3TzrLpZkZycbD6VaWpqio2NvX37NurTj6pkhhLhWANBEJyPQBBkEM5HdMVoNGq1WqPRaKoKcDgchULRiz5Np3O5XCaTiZcjgh7x0LS2ttbU1HC5XAaDYao6CIVCpVLZe+cnCEKr1To7OwsEArwiEfSIh6OlpcXJycnGxsaEdbCysurtCrS2tjY2NqJHIGaIuc9HGAwGFos14JuBzWa3tbXh5YigRyAIgh4xiDlz5gz1QKfTyeVyuVyu1WpRFgQ9on9z/PhxHo+XkpJy8uTJH3/8ce3atQAwdepUap1JbW1t17ecP39+zZo1ZWVlnQtra2s1Gg31uLKyMjg4OCMj48yZM7Gxsbdu3UKdEfPhg+S8Bz8Yf2+DGTNm2NraRkdHU0+PHj0KAMnJydSq8ISEhKVLl97xlvDw8MOHD6tUqs6FJ0+eXLx4MfXYxcXF29t71qxZACAWi/fu3RscHIxSIyaHIEmJSu/AYw9QjzgTC/APIuv5RILf5Hu8fuvWLS6XO2nSpPLy8k2bNm3atOn48ePx8fEuLi6zZs3i8XgdR7LZ3Uis1+s7yjMzMydMmAAASqXy7NmzH374IV6diDmw/lDuwau155d7fyegD0SPuPbLP/IIjvU9PCI5OTklJWXdunUCgUAgEDQ3N5Mk+cwzz+zcuXP69OmdDaL7ql27Nnbs2I6n586d8/HxOXbs2K+//rp3717KO6RSaUlJiVgs5vF4kyZNwusV6UvUOsPtesXkIU7e9SfcD6xw49NM7xGHDh1ydHQsLy/v6IFT99L69esDAgIef/zxBQsWPNwZ/1PZe7V99tlnQ0NDO3ad3rHqkSAIOv1evnvp0qU1a9Z0PL148eKnn35qaWmZlZWVlpb29NNPA8DmzZtjYmLa2tp+++039Aikj9mYWpTwR9H5kSejJAkgfLxEWv+Ab+ytOcvU1FStVhsREUEQRHp6eke5SqX64IMPPvnkk4c2iN6Emp50d3d3c3O7UyA6nSTJCxcudH1Lx+a5OxZxyGQyNpttaWkJAIWFhQwGg1rKTaPRXn/99T/++OOVV17BSxbpM8QqXcLVmvk+mgzbzxxKDkLYKnj5iLSVNLFHnD171tXVFQBcXFw6ewQAMBiMmzdvymQyM1EwOTk5JCQkPj5eLBZTJWVlZWw2++zZswAwfvz41NTUkJCQzm/JzMxsa2u7cOFCRUUFZYjTpk2jXpJKpTt27AgODq6srKTeXlJSkpOTI5PJPvzww5iYmJ9//tlgMOCFi/QZuy9VZR/e4p8805GhhEWH4OmvgPEQ6xJpvZRfY9WqVS+//PLjjz+ekZGRnJz8/fffU+XV1dUkSXp4eDz//PMJCQkduzBiY2M//vjjjpu24zzOzs7e3t5cLtec2+Cnn35avnz5vY/ZtGnT/Pnz+Xz+9u3b33zzzTteJQiioqKi299Z70Cr1RYWFnp7e5t2fTrSP3oQWtrFWu378JO/8nITf8QN4Uody7pjcP2g934vRbBYu3btqVOnSJI8fvz4f//7347yGzduEARBkuTMmTPz8/O7DX3R+WlVVZVKpTJtNI6WlpZ7vCqXy3fv3n3fk9TU1Pzxxx+nTp3S6XRdXzUYDEVFRRhjBmPM9CzHTxytjvEzfmxHnvuCJIz3uNHuQW/NWU6cOLG+vh4A6urqHn/8cQDIzc0dOXJkWlpaQECAlZWVRCKhBiP9HQ6H88ILL9z3MA8PDw8PD/zPhvQNebWyc7s/WWPYrbfxhOeTwD3kkU/VW/MRM2fOVKvV6enpRqNx+vTparV6586dABAdHX3y5Mk9e/asXbt2YPSWORxOt8slEMRUNDfUuB9f8Lr+53qP6Zx/X6D/A4OA3vvtk06nv/baawAQGRkJAFZWVtSUhL+/v7+/P7YigvQS+ReSnc68wWO2GZ/d5j5qfg/cy6gpggwMDG36gvj1QWlLlCzH4ujjjJ4wCMD9GggyQJCU6ve9PFScf8lx7mOrtgCT02NjAtSWWoK9d+9ekiQVCkVMTMy2bdse9iRnz5799NNPAaCioqKoqKjrARqNJjMzE9VGegP9tb3azeOZyvrz4370WvBjDxoEegQAQHR09J49e1566SUajSaXy8eNG7dq1aqHPcmUKVOoDeB1dXU1NTVdD1AqlXl5eag20sPoVOShleyjr900+nzts2PSM4vcbS169hMGzlijqEnpYWNhxXmUb0Sn02k0WkVFRX19PbWhm6KiooLP5zOZTJVKpVarHRwcxGKxs7MzQRAikcjGxkatVvP5fOp3DWqLx/DhwwGg6wE8Hm/27NnUacVisVKp9PHxwSsc+Uc05BAHXwFpZZrz0uCXPl/Pt+iNDxkg/Ygaqeap78+/nZDzyGcoLS199dVX/fz8Oko++eQTjUZz5MiRGzdu5OXlPffcc2lpaSdOnNi3b59arX7vvfc2bdpUW1u7ePHizuvVEhISvvvuu64HFBUVUXvbEhISMjMzZTLZ9u3b8SJHHhGShKyt5I4niTbtWqvPC4a85mRtyaDT0CPuiquNxUthXgvDvR75DHK5/P3331+5cuWfplNTk56erlKp3N3dT58+HR4eTqPRpk2bNnny5GvXrvH5/PHjx3t4eISEhHA4nM7BZqZOnQoAXQ8YM2aMnZ0dAHz11Vdubm56vf7y5ct4qSOPgkYC8S/C7+vOtI1czPru+3dfe31KQO992gAZazDptC9mj/wnZ6CiPxw6dGjnzp1Lly41GAzOzs5hYWEAQP11dHQEABqNRhAE9ZauJXfQ7QFMJrPzaRHk4ai8AIeWG5SSywHvVnrOX+1q3es3F2re1NSk0WiqqqqEQuGHH344YsSIoKCgsLAwOzu7mpoaPp+flZUVHh7e1NSkUqnq6+tbWlpaW1ubmpo4HE5ra6tUKm1qagKAxsZGtVpdX18vkUh0Ol3XA6gPevnll1NTU5988snU1FQqrgSCPBCEEc5/Dec3Era+LxBvKkVDTy3w64OP7a19n49eIdrfqlRdXW1vb29lZdV7n5iVlUXtqoqIiKiurq6trSUIIiwsjMlkXrhwgcfj+fj41NfXy+VyZ2fn5uZmo9Ho7u5eW1tLkqRQKKTSiFlYWLS0tLi4uIhEIqPR6OfnV1ZW1vUAT09PT0/P3NxcmUwWHh7eEXXCaDSWlZUFBgbet7YikWjr1q3z5s0LCgoykyZLSUnpiAaKVeqt+sjr4NCrUPXHCfqk79mvHXh9CodFt2Ize+pGw37EvQgPD+947OXl5eX116RGREQEAMhkso4b0tfXl3ogFAqpB56enp3P1nGAi4tLtwcAwMiRI1F25CEoPA4p/25r018c/sUl1qRINsPOqu+2CKFHIIgZY9DC6Y8gO45wDZkvWV6Q65j38QgarU+rgB6BIOaKuBgSl0Jj3nGLWR82vHBoTSRBQh8bRD/wCDqdfrdfDQYS942piww6cuLh+Nt6Gne/70aJ66SxDQpvByuTVMTcPYLH44nFYqPRaMJbSKPR9OqnU8Gs+Hw+3hcIAIBOCcffhlsJGvfxb7a9dqaQdmOej7WFyTJjm7tH2NjY0Ol0jUZjNBpNVYeKiopeXTdNo9H4fD7Gp0QAAOpvQOJSkFUfsX35rfKnfn8z8n0mzYQG0T/mI6ikOCaswNWrV6mkWwjSi5AkZG+D0zFqlt3bjE9mRD77QrnUx9GKSaeZtl44Z4kgZoBaDMmroeRUDj8ic2jsxSuSj4R2s0LczaFq6BEIYmoqzhsTl5OtLWc831xV8q+E53zXzBhnPrVDj0AQ00EYtGkbOH98K7cQvqR
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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"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.pgf')\n",
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" rs[curve['desc']] = 1/popt[0]\n",
" print(curve['desc'], 1/popt[0])\n",
" "
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]
},
{
"cell_type": "code",
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"execution_count": 19,
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"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
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"execution_count": 19,
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"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
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"execution_count": 20,
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"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
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{
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"ename": "KeyError",
"evalue": "'aht'",
"output_type": "error",
"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
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"\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",
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"\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-20-48ba4aec6918>\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",
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"\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",
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"execution_count": 20,
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"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
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"execution_count": 21,
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"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"name": "stdout",
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"output_type": "stream",
"text": [
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"3x3_hell 4829.672875332989\n",
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"3x3_schaltung_2 12.260149943835113\n"
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]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
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"3x3_schaltung_3 27.32225131778705\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
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"3x3_schaltung_4 3.4871621315913117\n",
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"3x3_verschattung_1 781.1210886930061\n",
"3x3_verschattung_2 500.4631310673579\n"
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]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
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"3x3_verschattung_3 1079.1258349574764\n"
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]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
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"huge_hell 430.64220644999955\n",
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"huge_verbraucher 23.011077088185388\n"
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]
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
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{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"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.pgf')\n",
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"\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",
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"execution_count": 22,
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"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"iVBORw0KGgoAAAANSUhEUgAAAWEAAAEZCAIAAADJ7AMsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAALEgAACxIB0t1+/AAAIABJREFUeNrtnXlcU8faxycbhCXsu+wgIIIggqKIiLvUXVxrrfa26u211m639a1ttba3tlrUWltr9da1WKygorag7CCI7PuO7GEPWcie8/5xvDENSFkCJOH5fvgjzySc58xzJr/MzJkzDwHDMAQAAPACiBACAABAIwAAAI0AAAA0AgAA0AgAAEAjAABQEcgTqrYEAgEuOQDgDHLdA3ECxmXMuHXrlrq6YzKZhw4dys7OhmCqqEcYawAAAPMRAADAfMRow+PxBALBKB1cU1OTyWQq5jqRyVpaWjCfAoBGjCmNjY18Pp9KpY7S8e3s7FgslkIOJRQKJRKJvb09kQhdPwA0Yqx6EHw+39HRcfR+nHV0dAwMDBR1tKamJhaLpa+vD60WGEsm7o+SSCTS0NDoXyAwDGX9gkT8/v+z/A/U/XTsT1hDQ0MoFEKTBUAjxggCgfDCO0CYGNXEo4hX+pGJ0jsoeh/is6DpADDWmMjKSUahF1HULnR9K9p8DZGpzwXi7jvo5d+RhedgDtPY2HjhwgVLS8utW7fiJXw+/8iRI66urgEBAb///jtCyMXFpbu729fX19PTs7a29saNG3KFcDWACaoRHA4nLS2Nz+fPmzdPdoxdVVXV0tLCZDJDQkIIBMKQzJiYmK6uLh0dnVWrVo1YJkho7TkUtQtdf/mZTEgFwmr6II9hbW3t7u5+7NixtWvXamlpIYTy8/Pv3LlTUFCAEDI1NW1qalqzZo1EIlm4cOGJEye8vb37LYRmCiiWg7eKVGCs8cknnyxYsGDp0qWffPKJtJDP5//000+BgYEWFhYXLlwYkhkdHW1kZLRly5aLFy+mpKQM7WyEXMRlyP/xWWjpUUSioPAtKOcKuvsu2nAZGTr080lezwvjSySGhobiXQaEkEQiIZFI0rfw2RAikWhvb5+VlfWiQgBQIMkV7eKhrLMcn36EQCAoKCggk8kIoYKCAolEgt/Se/z4saamJt7Z/vTTT11cXAZv7t+/v6WlBSHk7u5eWFgYGBg4hBNKOopSTw70gap4REDoYkj/71K00Mf0F/3r1q1bt27d+sorrzQ0NNjY2Mi+1d7eXlZWVl1dTSQSt2zZMkAhACgEkRj7x6UsKwOqsmtEd3e37A0FNputp6eHEGppacH75Lq6unQ6fUjm4sWLEUJisTgzM/Py5cvSgx86dOjw4cNS8/bt2/gLTU1NW1tbBoOBECJbzCYF9B81Umc5pSZWomOOCASB61pEJPc7MOEzGP3+O5vNRgjp6enl5uZ2dnb6+vqKxWLcaW9vr0AgIBKJ06dPDwgIEAqFDAaj30L8UL29vZWVlRwOZ4DASms32uB3WPLy8hoaGsas2YxZ7cbF3Rh47OQTfiolBllg7gasZCXXCAqFwufzpeMLvEMhWy4QCEgk0pBM/Ahnz5795ptvLCwsZDXi0KFD+GsCgbB69WrphEhnZ+ez9QsGy5DHsn5OtPQOyjuPdtwjWUxDUbu02vP+MoUpg1Z/1WQwGLq6ugYGBnv27Pntt9/Wr19vYGBAIpFwp9ra2sbGxi4uLrL/0m+h9Gvp7e1tYmIyQAuT1m60YbFYxcXF3t7ePj4+Y/b9GbPajb27MfDIFYr/KGrpyCsI8HHfGWD/3nblno8wMjLCOw4IIQMDA21tbYlEghDy8vLCfza7u7s9PDyGZCKE4uLili1b5u3tnZ2drYCzlJ2kxKcwtQzQ9ZeRiDfIA/D5/PT09IqKiqCgoIyMDG9v746ODiaTWV9fLxAImpub29raent7ZYdgfQsBQCF8Hl387m/5v/9z9s4A+yH947jNWW7evDkxMTE2Nnbnzp0Ioc8//zw2NtbJycnAwKChoSE8PPzDDz8ckpmYmPjWW2/t2LHD39+/s7NTkQLxvwHFUGWip6dnyZIlHR0dBALhzp07FArl6dOnV69eraur6+zsnDdv3quvvkqnP5/I6LcQAEbO6fgqkRht9rNxNdcb8j9j40dTU1NLS0vf8oqKChaLNTzzb5+Zl75ms9l1dXX9f04kwM4vwprz+3/rt1ew8j8G4667u1uB4Wpra2tvb4f9I2D/iKHC5gtnfvnQ+3Dsi74LAzOea6isrKz6LZ88efKwTcVAoqDXYlG/y7RJFLThEoLnLwEVob6rd8HxxA2+1h8sdRveEeAhwhcwgAqAQAAqQksPNzKn0c2CNsvB2EhHAzRiqCJAwCdKVQXpKhIAGCQ3njSefFj59iKXNdMnDfsgE/d5DSqVKhKJ2traRm//iN7eXkV9q4VCYU9Pj729PbR7YJC8fT03v6Hn+5d95ruajuQ4E1cjiESinZ1dd3e3oraB6Uttba2Dg4NCDkUmk21tbTU0NKDpA4PhcU0nVyAmENCyqRZkIgE0YphQKBQzM7PRO35WVtbcuXOhvQJjTBdHsPnnDF87o4T35yvg9wkCCgDqRBmd9eHNglfn2Id4WCqmxw0xBQC1QSiW5NUzChoZPraGMx2MFDPOhbACgNrwz6s58WWt8e/NdzDRUdQxoR8BAGrCd/GVlgbUpR6WNkbaCjws9CMAQB3giyRn4qsnGVDjFTFPCRoBAGpFYVNP6A/pe4Idt860VfjBYawBAKpNYzc3ubLdVF9zqqWeuZ7iFwRCPwIAVJvv4ioishpv/yvAy8ZgNI4PGgEAKsw/r2b3cIXHQqd5TBqtBG6gEQCgquQ3MJ529ook2AZfm9HzAvMRAKCSlLeyVp9JczOnxewPHFVH0I8AANWjsKknLLZiwwzrTX62xFHe0AT6EQCgYvCE4oclrQnlbSu8rHztDUfbHfQjAEDF2PhTegWd/fC9IGdT3TFwBxoBAKrEiQcV06z1J5vTxkYgkJrlBH7y5AmPx0MIDS2RHwCoCJ1swXdxVX4OhhG7Z4+ZU/XJCVxYWJiXlxcYGJiTk1NWVgbtCVAzUqs6Ar6J/2TFlDNbfcbSr/rkBG5ubp4zZw5CyNHRMTo62s2t/53C8bzBYwOXy1VXd3gmsZ6enjHzqMbBHIzHRgY/tapbl0I01xSK2F0tbHXXiNHICSw1aTSabKzlcgKfO3duLGtaXl6uxu6Sk5OTk5MhmGPgMUbg0izW20jNz7qfnjW2Z6U+OYGlpuwBUZ+cwBs2bBizaj558sTPz08t3XG53Lt37/r6+ipqU9+JHMyBPWIY+jC2xUGTtM5SK8R1jaLcSb8USqoR/eYEJhKJXl5eiYmJSCbr7+BNb29vuRTB/eLu7j5m1aysrFRXd/hm4paWlmPmUY2DOYBHCYY9qu7s4DXTdKnvr501Lt9W9ckJvGHDhpycnNbW1sLCwtDQUJjiAtSA1MqObecfr/exDn/Df9xOQp1yAgsEgtLSUqFQOJicwJDGFnICK3lO4Acl9NAfH316q6iqjaVwd2hi5gSmUCgvup0BAKpFr0CcVN6eXdf9xVoPp7FaLqVE8xEAAAzM4rAkgUiSdXDRsHP5gkYAgHoiEEmO3CudYWdopK0x7gKB4LlPAFA2qtpZV9KfkoiEQ6unKsP5QD8CAJSI8Mz6g7eKvlrvuXKalZKcEvQjAEBZyK7rbuzm2pvozLI31tVUlt9v6EcAgLLwUWRBdTu79PPlmmQl+vGGfgQAjD88ofhILsnTSv/Cq35KJRCgEQAw/gjFkuTKdoGYoKVBDnY1U7bTA40AgHHmdl7zrsvZy2zEX671UMLTA40AgPHkemZ9xJOGXfMcpxpiynmGoBEAMG50cQTx5W059d275zkZaCjpScJ9DQAYH0RiLPCbeCsDavYni/W1KEp7nqARADAOdPcKjtwtnediNt3GQJkFAsYaADA+5DX0ROY0Opnq7prnqOSnCv0IABhrjsWU/5RU/fN23/mupsp/ttCPAIAxJb6sjS+UOJvp+tgaUkgq8AWEfgQAjCnv3cgXibDCw0tU5YRBIwBgjGhj8UNOJa+cZrXa20qFThvGGgAwFjB6hbHFdDGGLPWpM+wMVejMoR8BAGPB5UdPwx5W/Lzdd7G7uWq
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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"iVBORw0KGgoAAAANSUhEUgAAAWEAAAEZCAIAAADJ7AMsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAALEgAACxIB0t1+/AAAIABJREFUeNrt3XlcU1e+APBzb/aQhCTsYUdBRBBwX0DrrtStilWn1taprfNaW7VOX+vUTrHtWPvq0mprW5eprVoc+ypSl6lRFHDDgoCAEFlEthC2JGQj+31/3L4UERighLD8vh/+yDkJ9557zs0v55yce4MRBIEAAKADOFQBAABiBAAAYgQAAGIEAABiBAAAYgQAYICgDqmjxTAMmhwAUhfXPeBDsF4c6OzZs44twM6dO5OSkoZ4JUABurUqCsYaAACIEQAAmI8AoI8ZjUaj0Wi1Wrv7jwwGQ6VS9Vk5KRQKk8mkUCgQIwDoO01NTQqFgsFg4Hi3O+P+/v5qtbrPimqxWAwGg5+fH4PBgBgBQB9pbGwcPnx4zz6cnZyc+Hx+X5ZWLpfL5XIvL68e/C/MRwDQbeT4osMAcf8sUte2/1SDBD1M7fsCMxgMk8nUs/+FGAFAtxEE0dlaG8UjdGxhO2GiQYK+X4K0DQPrYGGsAUBvi9mMcAo69jR64Tziif5/cFKMjj+DZu9AESuQUvkft9HS0nLixIn6+vp3333Xlvn111+bTKaFCxdevny5oqJi3LhxOp3OxcVl/vz55eXlP/74I0IoJCREoVCMGzcuIiKiV44G+hEA2MGU19HYdei7hUgl/S1AfL8EzXofRa7q4gZYLNb8+fPT09Nv3bpF5tTW1l64cCEqKiowMHDOnDl37tx55plnnnvuudTU1IMHDwYGBrq5uRmNxqVLl77wwgtvvPFGbm5uRxvffrYAYgQAfcViQi3Kdv6in0fhK9Cxp1HReXTsaTTtbRQyn3wK0zc/9kqrpf03J46/9NJLR48eJZMVFRUBAQHk1yg4jtsGOyNHjiTjiC0Tx/GAgICsrKyOiuzKocNYA4C+UnIJnXqusxf86zmEEDq/CZ3fRGY4t3nBX24gz/bHBaNGjTp8+LBGo3FycmozA6LVah88eNDY2Hjz5s3t27f/NuPR0CCRSMrKynAcX716dUcl2jw7ZAvECAD6iNtINHtH+09p61H290jgj1S1aOyLiMGzzTWwWKzfX8b17GTzq1atOn36dHR0dGRk5IkTJ37vvlgsfD7f3d390KFDtkwMwwQCwVNPPfX000/31vE5Mka0tLQQBMFms9vkK5VKLpdr+2Kp86TJZKLRaK2r3mAw0Ol0uMQT9BGXYShmczv55BxE3G4UuQrdOoDufmubwjQolawur49YuXLl8uXLw8LCmExm63w6ne7h4dHmxRwO58nMP8hh8xGXLl3KyMhIS0tLSkpqnX/48OHq6uqDBw+WlJT8x+Tly5eXL1+el5dH/q9IJJo1a9b+/fvhvAUO1maSss0UZhdYrdbs7Ozc3FwWi+Xj48Pj8bRabUNDQ3V1tdForKioaG5ulsvlttcbjUapVFpfX6/T6Xr5WBx1aeqyZcvIB8uXL7dlPnr0aMuWLQRByGSy1157rfMk+S+bN2/Ozc3t4iW3CK4Nh2vDe6MAZrP5wYMHHT7d8IDYE0rkJrbNv7mf2B9NNNcoFIo+PmSNRlNRUdGz94JjxhpKpVKhUJCPpVKpwWAgV5Ln5OSQa1QFAsHdu3c7Tz652by8PC6Xq9fr4+Li4JMMOMz1vWj2DjT62bb5U15HVjPKOorGvO7A0hEE6tZA3DExQq/X266EodFoer2ejBG2fCqVajAYOk8+udkNGza4u7tv3brV1dV1woQJZGZCQsKOHb9PKSUnJzv2/HF4AaqqqqAS/mABMAzz9fVVdrQU6qmPEYa1v1AqfB0iCPJjsi+P12AwVFdX5+Tk3Ffg3xZjL4da+3uM4PP5tje5yWTicDi/zRC7uZELPzQajYuLS+fJNttMT08XCoXu7u4ikSgzM7N1jEhISLA17ZIlSxx7ajq2AIWFhb6+vkO8Ev54ASwWS1lZWY+vy1IqlX18TZdWq/Xx8ZkyZYrHw6Zkae7sp8b09zlLJpMZHBys1+u1Wm1YWBiFQhGLxcXFxTExMXV1dQihgoKCxYsXd54kN2U2m81mM/r/b30QQhKJZOrUqdDhBfaD43gPbhvhQBaLhfwqcFKQy52/zRrjJ+jv/QiE0O7duy9evGi1Wvfs2YMQYrPZdDqdwWBs2rQpJSVFqVS+/vrrCKHOk9evXw8JCSksLBQKhTExMcnJyZmZmfHx8VFRUXAeA/vBMMzJyUkqlT65tKkrdDpdD+460WNWq1Uulz/Z9e7vMUIoFC5btsyWjImJIR+0eXt3noyNjY2NjbUlly5dCqcv6Bve3t4KhUKr1fbgV7XLy8sDAwP7rKgUCsXV1ZXH4w2wGAHAQB9u9PiTOSsry/ahOACOFBobAAAxAgAAMQIA0DGNwTx3X9q3N8shRgAA2qEzWirlukeN3b6aA+YsARgS3LmMgoT5VEq3v6mFfgQAQ0UPAgTECAAAxAgAAMQIAADECAAAxAgAgB18dqX400sPIEYAANqXmFmV+Gtlz/4X1kcAMPiJN0+zdv/6VIgRAAwVzixaj/8XxhoAAIgRAACIEQAAiBEAAIgRAIDe82NW9dP7rze3mCBGAADaUSRTldRp1Hpzj7cA330CMJj9fWHY2/NDGdSe9wagHwHAIPdHAgTECAAAxAgAAMQIAADECAAAxAgAQC+5V60c/48racUNECMAAO0wmq06g0VvtPzB7cD6CAAGp/EBwvsfzIOxBgDAviBGAAAgRgAAIEYAACBGAAC6xGC2QowAALRPrTeP+VD8XyezIUYAANrBpOEjPLijvZ17ZWuwPgKAwYZGwc+8OhXGGgCAvgAxAgDQL8caWq325s2bBoNh2rRpzs6/D5xKS0tra2tVKlVcXByGYZ0nW1pafvjhh4ULF3p4eCCEMjMz9Xo9Qig2NhaaFoCB3Y947733Zs6cOW/evPfee8+WaTAYvvnmm9jYWE9Pz6NHj3aeRAhlZ2ffvn1bJpMhhPLz83Nzc2NjY7OzsyUSCTQtAAM4RhiNxry8PCqVSqfT8/LyrNbfvsu9c+cOg8FACIWEhCQlJXWeRAhNnTqVy+WS/5uUlBQYGIgQCgoKOnfuHDQtGJpqFC0SmXrAjzUUCgWGYbakRqPh8XgIodraWhaLhRDicDgymazzZJtt2p7lcrm1tbW2/ISEhB07dtiSycnJjm1ChxegqqoKKmEQF+CjHIrCiP3PBDMFG8gxgkajGQwG2/iCSqW2yTcajRQKpfNkR9tsvUEyRiQkJJCPMQxbsmSJY88MxxagsLDQ19d3iFfC4C4AHiitVeqXTQsa2GMNoVBIdhwQQnw+n81mk8ONyMhIpVJJdjTCw8M7T7bZZlRUVCfPAjBELBoteqX3AgRy4JzlqlWrUlNTxWLxunXrEEIffPCBWCweNmwYn8+vqqpKTEx8++23O08ihK5fv15YWPjvf/+7vLx8xYoV2dnZdXV1+fn58fHxcK4A0DsIx6mpqamtrX0yv7i4WK1WdzHZmtFoLCoqMplMHe3RscdLEMTZs2cdW4CdO3cmJSUN8UqAAnTrveDItdgikajd/ODg4K4n20xJhIaGQtwHYDCMNQAAECMAAH3nqqRuyZc369UGiBEAgHbcq27Or1Y29HaM6Op8xPXr1+vr6zt6dvr06a6urtBIADjQltkhL8cGcRi9PMnY1c3l5uauXbu23aeKi4vv378/ffp0aCQAHKvXA0Q3YsSrr7765NJG0rhx46BtABisujof0SZAfPLJJ7bHGIa1vvgCADAUY0Qb77zzDkKosbHx66+/rqmpKSsru3LlCtQmABAjHnPy5MlRo0Z9//33bDb7xx9/hNoEwFFqFC1Wguh3MWLy5MnR0dHbtm3LycmxXccJAOhjdx42Tf3k6oGrpfbY+B+aBRWJRGKxeNmyZXFxceS9GwAAfW+YO2dmqPu0YDdHxgiDwUDeA6o1Hx8fHx8f8vGMGTMQQrm5uUKh0M/PD5oNgD7jymH888Xxdtr4f4gRLS0t5A2gkpKSPv30045e9ssvv5w8edJkMs2cOZNCobz00kv
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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": [
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"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],
"text/plain": [
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"<Figure size 360x288 with 1 Axes>"
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]
},
"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",
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" save=f'C/{curve[\"desc\"]}.pgf', mlp=[curve['u_mlp'], curve['i_mlp']])"
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]
},
{
"cell_type": "code",
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"execution_count": 23,
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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\ncurve [[-1.0, -0.1947314], [-0.9775, -0.1942969], [-...\narea 338\nj_c 0.000567871\nu_cc 7.02243\nff 0.653348\neta 0.0781634\np_mlp 0.880641\nu_mlp 5.3225\ni_mlp -0.1654561994540209\nName: huge_hell, dtype: object"
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]
},
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"execution_count": 23,
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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",
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"execution_count": 25,
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"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",
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" 3x3\\_hell & 3.495189 & 1.62 & 0.60 & 0.102551 \\\\\n",
" 3x3\\_schaltung\\_2 & 2.513409 & 1.65 & 0.26 & 0.032320 \\\\\n",
" 3x3\\_schaltung\\_3 & 0.001977 & 1.53 & 0.25 & 0.000023 \\\\\n",
" 3x3\\_schaltung\\_4 & 0.981105 & 1.46 & 0.26 & 0.011259 \\\\\n",
" 3x3\\_verschattung\\_1 & 0.031919 & 1.43 & 0.65 & 0.000894 \\\\\n",
" 3x3\\_verschattung\\_2 & 1.645931 & 1.57 & 0.69 & 0.053387 \\\\\n",
" 3x3\\_verschattung\\_3 & 0.105492 & 1.48 & 0.76 & 0.003533 \\\\\n",
" huge\\_hell & 0.567871 & 7.02 & 0.65 & 0.078163 \\\\\n",
" huge\\_verbraucher & 0.678768 & 6.11 & 0.29 & 0.036418 \\\\\n",
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"\\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",
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"execution_count": 26,
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"metadata": {
"autoscroll": false,
"collapsed": false,
"ein.hycell": false,
"ein.tags": "worksheet-0",
"slideshow": {
"slide_type": "-"
}
},
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"outputs": [
{
"ename": "SyntaxError",
"evalue": "invalid syntax (<ipython-input-26-19e7cfc43eeb>, line 1)",
"output_type": "error",
"traceback": [
"\u001b[0;36m File \u001b[0;32m\"<ipython-input-26-19e7cfc43eeb>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m .to_latex(index=False))\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
]
}
],
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"source": [
".to_latex(index=False))"
]
},
{
"cell_type": "code",
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"execution_count": 27,
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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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"3x3_hell 0.533266\n3x3_schaltung_2 0.168064\n3x3_schaltung_3 0.000118\n3x3_schaltung_4 0.058548\n3x3_verschattung_1 0.004647\n3x3_verschattung_2 0.277610\n3x3_verschattung_3 0.018373\nhuge_hell 0.880641\nhuge_verbraucher 0.410309\nName: p_mlp, dtype: float64"
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]
},
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"execution_count": 27,
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
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"ccurves['p_mlp']"
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]
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}
],
"metadata": {
"kernelspec": {
"argv": [
"/usr/bin/python3",
"-m",
"ipykernel_launcher",
"-f",
"{connection_file}"
],
"display_name": "Python 3",
"env": null,
"interrupt_mode": "signal",
"language": "python",
"metadata": null,
"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": "3.8.0"
},
"name": "c.ipynb"
},
"nbformat": 4,
"nbformat_minor": 2
}
