From 0fdf6ec4994be6d9b5f78a06508c1747d79a584e Mon Sep 17 00:00:00 2001 From: JupyterHub User <1myhisij@jupyter.rwth-aachen.de> Date: Thu, 7 Sep 2023 09:43:24 +0000 Subject: [PATCH] added labels, titles to all plots --- hp4155/measurements.py | 7 +++- hp4155/working_examples/pandas.ipynb | 55 +++++++++++++++++++++++++--- 2 files changed, 55 insertions(+), 7 deletions(-) diff --git a/hp4155/measurements.py b/hp4155/measurements.py index aec3b88..65af8fb 100644 --- a/hp4155/measurements.py +++ b/hp4155/measurements.py @@ -43,6 +43,9 @@ def I_V_Measurement(start,stop,step): # show plot plt.plot(voltage_values,current_values) + plt.xlabel('Voltage(V)') + plt.ylabel('Current(A)') + plt.title("I-V plot") plt.show() #export data to csv file @@ -125,6 +128,9 @@ def stress_sampling(V2_stress=10,V3_stress=3,stress_time=30,V2_sampling=10,V3_sa fig = plt.figure() plt.plot(time_values,I2_values,label='I2') plt.plot(time_values,I3_values,label='I3') + plt.xlabel('Time(s)') + plt.ylabel('Current(A)') + plt.title("stress + sampilng plot") plt.legend() plt.show() @@ -226,7 +232,6 @@ def ctlm(field_name ='M00',start=-50*10**(-3),stop=50*10**(-3),step=10**(-3),com break #close the connection and plot all the diagramms - plt.legend() plt.show() del device diff --git a/hp4155/working_examples/pandas.ipynb b/hp4155/working_examples/pandas.ipynb index d9c3199..fdc406c 100644 --- a/hp4155/working_examples/pandas.ipynb +++ b/hp4155/working_examples/pandas.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "id": "f3bb2a53-f571-4da3-b09f-4c8ee8c75a83", "metadata": {}, "outputs": [], @@ -14,7 +14,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "id": "a9461575-0bd1-4e25-8403-ed4eb12ccce2", "metadata": {}, "outputs": [ @@ -33,7 +33,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "b12e1696-12d9-4b94-9028-2610ec7e73c6", "metadata": {}, "outputs": [ @@ -52,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "c7f1a914-cca3-4de7-8cbc-ccdb94197658", "metadata": {}, "outputs": [ @@ -60,7 +60,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2023-09-05 10:27:16\n" + "2023-09-07 09:38:10\n" ] } ], @@ -142,9 +142,52 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "id": "48dc546e-c0a7-4052-a63a-a816f4678d8d", "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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zKVVE5zk2swvNbL2ZpZrZvSXsNzP7a3j/CjMbUGTfFDPLNLNVxc6538y2mtnn4a/hkbwGkZrG3Xlu/kZunLqY+AaxvPbDoUy9YTDf7d1GoSFlErEWh5nFAE8Aw4B0YLGZzXH3NUUOuwjoFv5KBp4MfweYCvwfML2Et/+Luz8codJFaqy8gkLun7OamQu3cEGv1vzlqv40qKsbD1I+kfyNGQykuvsGADN7ERgBFA2OEcB0d3dggZk1NbMEd89w90/MrGME6xOJGtk5eTz98QZeSkljZ3Yut5zVhZ9/92TNLyUnJJLB0RZIK/I6nf+0Jo53TFsgo5T3vt3MrgNSgJ+4+97iB5jZBGACQGJiYvkqF6lBlm7Zy80zlrDrQC7n9WjFtUM6cPbJrYIuS6qxSPZxlPRPGT+BY4p7EugC9CcUMI+UdJC7T3L3JHdPatmyZSlvKVJz/W3eV7g7r//wdJ69fpBCQ761SAZHOtC+yOt2wLYTOOa/uPsOdy9w90LgGUK3xESkBIePFPBZ6k4u7ptA//ZNgy5HaohIBsdioJuZdTKzWGA0MKfYMXOA68Kjq4YA+939uLepzCyhyMsrgFXHOlYk2s1P3UVOXqGeAJcKFbE+DnfPN7PbgXeBGGCKu682s1vC+58C5gLDgVTgEHDD0fPNbBZwNtDCzNKBX7v7ZOBPZtaf0C2tTcDNkboGkerug7U7aFi3NsmdmgdditQgER2H5+5zCYVD0W1PFfnZgduOce7Vx9g+tiJrFKkJNu46SHz9WJrU/88T31k5eXywNpOzTm5JbO2IPrIlUUYDuEWquSfmpfLQu+sxg6FdmvP7K/qy/3Aed730OfsOHeGawRpVKBVLwSFSTWXsP8xfP0xl1qItXNwvga4tGzJl/kbOfeRjCgqdZvXr8PxNyQzprNtUUrEUHCLVzIHcfJ6Yl8rkTzdS6M4Np3fkVxf3IqaWcdWg9kz6ZANdWjbgslPa/tetK5GKouAQqUZWbd3PD2cuZcueQ4w8tS13DetO+/j6X+8/qWk97r+sd4AVSjRQcIhUE/9YtZ07Zi2jecNYZt98GoM7xQddkkQpBYdIFefuzE5J477XV9GvXRMmXz+I+AaxQZclUaxMwWFmtYBTgJOAw8Bqd98RycJEBJan7eM3b61hyea9DOkcz7PXD6KhZrOVgB33N9DMugD3AOcDXwI7gTigu5kdAp4GpoWn/xCRCpKTV8ADb65h1qIttGgYyx9H9eV7A9sTo9lspQoo7Z8uvyM0qeDN4Yf1vmZmrYGrgbHAtMiUJxJ9MvYfZvzUFNZkZPGD73TijvO6aSlXqVKOGxzHeno7bI+7P1qx5YhEt4z9h7l60gJ2HTjClHFJnNtDc0xJ1VOum6UWWlfyHOAa4FJAv9UiFcDdmbN8Gw++vZZDRwqYPn4wAxKbBV2WSInK2jmeTCgsrgDiCc0v9bMI1iUSNdZvz+Z/3ljFoo176NO2MRNH9qNP2yZBlyVyTKV1jj8IfB/YAswCfgOkuLv6NES+JXdn1qI07p+zmvp1Y3jwij6MHpSoDnCp8kprcUwA1hPqIH/L3XPMrLQV+kSkDB56dz1/++grvtOtBY9e1Z/mDesGXZJImZQWHG2ACwiNnnrUzOYB9cystrvnR7w6kRrI3Xn8n6n87aOvuHpwIr+7vI9aGVKtlDaqqgB4B3jHzOKAS4D6wFYz+9Ddr6mEGkVqjC27D/HLv6/k0y93ccWpbXnw8j7UUmhINVPmUVXungO8ArxiZo0JdZSLSBnk5BXwp3+sZ8aCTdSJqcXvLu/DmOREQgMVRaqX0jrHrwVeKP5kuLtnAdPCT5YnuPtnEaxRpFpL23OICTOWsDYji6sHJ3Ln+d1o3Tgu6LJETlhpLY7mwDIzWwIs4T9TjnQFzgJ2AfdGtEKRaix97yFGT1pAdk6eHuiTGqO0Po7HzOz/gHOB04F+hCY5XAuMdfctkS9RpHpatXU/tzy/hKycPGb9YIiezZAao9Q+DncvMLND7n5/0e1mdjqh5ztEpIj8gkKem7+Jh95bT3z9WJ4fn6zQkBqlrJ3jjwMDyrBNJKpt2HmA219YxpqMLM7v2Yo/juqn5zOkximtc/w0YCjQ0szuLrKrMRATycJEqpt56zP50QvLqBNjPHXtAL7bu41GTUmNVFqLIxZoGD6uUZHtWcD3IlWUSHXzwZod3DpzCSe3acTTY5No27Re0CWJRExpneMfAx+b2VR331xJNYlUKy+npHHf6yvpldCY6eOTaVJPa2dIzVbWPo66ZjYJ6Fj0HHc/NxJFiVQHhYXOn95dz1Mff8UZXVvwt2sH0FgLLkkUKGtwvAw8BTwLFESuHJHq4UBuPne+uIwP1mZyTXIiD1zWmzoxtYIuS6RSlDU48t39yYhWIlJNbN59kAnTl5C68wC/GdGbsUM6qBNcokpZg+NNM/sh8DqQe3Sju++JSFUiVVBBofPspxt49IMvqRNjTLthMGd0axF0WSKVrqzBcX34e9FV/xzoXLHliFRNew4e4Y5Zy/gsdRfDerXm/st6a+SURK0yBYe7d4p0ISJV1bZ9h7nmmQVs25/DH0f15apBiUGXJBKosq45Xh+4G0h09wlm1g042d3fimh1IgFL23OIa55dwL6Decz6QTIDO8QHXZJI4Mo6DOQ54Aihp8gB0oHfRaQikSpi8+6DjJ60gP2H8nj+JoWGyFFlDY4u7v4nIA/A3Q8DGkYiNZK7M2vRFi55/DMOHcnnhR8M4ZT2TYMuS6TKKGvn+BEzq0eoQ5zwAk65xz9FpPo5kJvPz15ezjurtjOkczwTR/ajY4sGQZclUqWUNTh+DfwDaG9mMwmtzTEuUkWJBGH3gVzGPLuQLzMPcN/wHtx0RmetBy5SglJvVZlZLaAZMJJQWMwCktz9ozKce6GZrTezVDP7xkqBFvLX8P4VZjagyL4pZpZpZquKnRNvZu+b2Zfh781KvUqRUuw6kMs1zyxk0+6DPDduEBPO7KLQEDmGUoMjvN747e6+293fdve33H1XaeeZWQzwBHAR0Au42sx6FTvsIqBb+GsCUPTp9KnAhSW89b3Ah+7eDfgQLV0r31IoNBawec9Bplw/iDO7twy6JJEqrayd4++b2U/NrH34X/zxZlbaEJPBQKq7b3D3I8CLwIhix4wApnvIAqCpmSUAuPsnQElPpo8ApoV/ngZcXsZrEPmGJZv3MurJf7FlzyGmjBvE0K56ElykNGXt47gx/P22IttKe3K8LZBW5HU6kFyGY9oCGcd539bungHg7hlm1qqkg8xsAqFWDImJemBL/pu787ePvuKR99aT0KQeMzXcVqTMSg2OcB/Hve7+Ujnfu6QbxH4Cx5wQd58ETAJISkqqkPeUmiGvoJC7Zy/nzeXbuKRfAn8Y2ZdGmg5dpMzK2sdxW2nHlSAdaF/kdTtg2wkcU9yOo7ezwt8zT6A2iVL5BYX8+MVlvLl8Gz+/8GQev/pUhYZIOUWyj2Mx0M3MOplZLDAamFPsmDnAdeHRVUOA/UdvQx3HHP4z6eL1wBtlvAaJcvkFhdw1ezlzV27nVxf35Idnd9V06CInIGJ9HO6eb2a3A+8CMcAUd19tZreE9z8FzAWGA6nAIeCGo+eb2SzgbKCFmaUDv3b3ycBEYLaZjQe2AFeW8RokiuXmF/Czl1fw5vJt/OKiHtz0HU3sLHKizL3m3/5PSkrylJSUoMuQgOw6kMutzy9h8aa93HNhD249u0vQJYlUC2a2xN2Tim8v6+y415W03d2nf9vCRCJp3fYsxk9NYdeBXB6/+lQuPeWkoEsSqfbKeqtqUJGf44DzgKWAgkOqrM/T9nHtswtpUDeGl285jX7tmgZdkkiNUNaFnH5U9LWZNQFmRKQikQqwaut+rpu8kPgGsbw4YQgnabU+kQpT1lFVxR0iNE2ISJWzfns2YycvpFFcHV74QbJCQ6SClbWP403+82BeLUJzT82OVFEiJypl0x5unrGE2Nq1mHlTMu2a1Q+6JJEa57jBYWZdgdbAw0U25xMaXrs1gnWJlNusRVv43zdW0bZpPSaPG6R1NEQipLQWx6PAfe6+ouhGM0sK77s0MmWJlF1BoXP/nNXMWLCZM7u35PHRp9Kkvp4GF4mU0oKjY/HQAHD3FDPrGJmSRMour6CQO1/6nLdXZDDhzM7cc2EPYrSOhkhElRYcccfZpx5HCVRhoX8dGvcN78GEM/Vgn0hlKG1U1WIz+0HxjeHpPpZEpiSR0rk7v317DW+vyOAXFyk0RCpTaS2OO4HXzWwM/wmKJCAWuCKCdYkcU05eAb94bSWvL9vKjad3YsKZmndKpDIdNzjcfQcw1MzOAfqEN7/t7v+MeGUiJdiRlcOEGUtYnraPn17QndvO0Qy3IpWtrE+OzwPmRbgWkeP6Ykfowb7snHyeHjuQ7/ZuE3RJIlGprHNViQRq9bb9jJ28iNq1jFdvHUrPhMZBlyQStRQcUuVt2X2I66csIq52LV74wRA92CcSMAWHVGk7snIY99wi8gqcFyckKzREqgAFh1RZa7ZlMX7aYrIO5zH1xsF0bdUw6JJEhBOfHVckouatz+TKp/6FO8y+5TQGdSxtiXsRqSxqcUiV8/qydH4yezk92jRmyrhBtGlyvAkMRKSyKTikSnl9WTp3z17OkE7Nefb6JBrU1a+oSFWj/1dKlfHR+kx++vIKhnRqzpRxg6gXGxN0SSJSAvVxSJWwaOMefjhzKSe3bsQz1ycpNESqMAWHBG7uygyunbyQNk3imHrDIBrq9pRIlab/h0qgps7fyANvrWFAYjOevS6JZg1igy5JREqh4JBAuDt/+eBL/vrhlwzr1ZrHrz6VuDq6PSVSHSg4pNK5OxPfWcfTn2zg+0nt+MPIflq1T6QaUXBIpXv6kw08/ckGrjutA/df2ptaCg2RakWd41Kpnl+wmYnvrOPSU05SaIhUU2pxSKVwd56Yl8rD733BeT1a8fCV/RQaItWUgkMirrDQeXDuWiZ/tpErTm3Ln77XjzoxauyKVFcKDomo/IJC7n1tJa8sSWfc0I787yW91NIQqeYUHBIxeQWF/OiFZfxj9XbuOr87d5yn9cFFagIFh0REYaFzz6sr+Mfq7fzvJb248YxOQZckIhVEN5qlwhUWOve/uZrXlm7l7mHdFRoiNYxaHFKh8gsK+dXfV/Hi4jRuPrMzPzq3a9AliUgFi2iLw8wuNLP1ZpZqZveWsN/M7K/h/SvMbEBp55rZ/Wa21cw+D38Nj+Q1SNll5eRx47QUXlycxh3nduXei3qoT0OkBopYi8PMYoAngGFAOrDYzOa4+5oih10EdAt/JQNPAsllOPcv7v5wpGqX8tt/OI/rJi9k9bYsJo7sy+jBiUGXJCIREskWx2Ag1d03uPsR4EVgRLFjRgDTPWQB0NTMEsp4rlQRR0NjTUYWT107UKEhUsNFMjjaAmlFXqeHt5XlmNLOvT18a2uKmTUr6cPNbIKZpZhZys6dO0/0GqQU+w/lMTYcGk+OGcj5vVoHXZKIRFgkg6Okm9texmOOd+6TQBegP5ABPFLSh7v7JHdPcvekli1blqlgKZ/9h/K4dvJC1mVk89S1Cg2RaBHJUVXpQPsir9sB28p4TOyxznX3HUc3mtkzwFsVV7KUVWZ2DjdOXcwX2w/w1NgBnNtDoSESLSLZ4lgMdDOzTmYWC4wG5hQ7Zg5wXXh01RBgv7tnHO/ccB/IUVcAqyJ4DVKCtRlZXP5/8/kq8yBPjx2o0BCJMhFrcbh7vpndDrwLxABT3H21md0S3v8UMBcYDqQCh4Abjndu+K3/ZGb9Cd262gTcHKlrkG9aumUv46Yson5sbV6+5TT6tG0SdEkiUsnMvXi3Q82TlJTkKSkpQZdR7f37q92Mn7aYlo3qMvOmZNo1qx90SSISQWa2xN2Tim/Xk+NSJvPWZXLL80tIjK/PzJuSadU4LuiSRCQgCg4p1dyVGfz4xWWc3KYR029MJr5BbNAliUiAFBxyTO7OM59uYOI76xiQ2IwpNwyicVydoMsSkYApOKREh47kc8+rK3lz+TYu7pvAQ1f2o36sfl1ERMEhJdiRlcO45xazbnsW91zYg1vO6qzJCkXkawoO+S/b9h3mmmcWsDM7l+fGDeLsk1sFXZKIVDEKDvnaqq37uWlaCgeP5DPjpmQGJJY4DZiIRDmtACgAvLMyg+899S9iahmzbz5NoSEix6QWR5Rzd56Yl8rD733BgMSmPD02iZaN6gZdlohUYQqOKJaTV8C9r67g759v4/L+JzFxVD/i6sQEXZaIVHEKjii1MzuXm2eksHTLPn56QXduO6erRk6JSJkoOKLQ2owsbpqWwu6DuTw5ZgAX9U0o/SQRkTAFR5R5e0UGP39lOQ3javPyzUPp206z24pI+Sg4okROXgG/fWsNMxdu4dTEpjw5ZiBtmmiiQhEpPwVHFNi06yC3zlzK2owsbj6zMz/97snUidFIbBE5MQqOGu6j9ZncMWsZtWoZU8YlabU+EfnWFBw1lLvz5Mdf8dC76+nRpjGTxg6kfbwWXhKRb0/BUQNlZuVwz6srmLd+J5f0S+BP39PMtiJScfTXpIaZuzKDX76+kkNHCrj/0l5cP7Sjns8QkQql4KghDh8p4NdzVjE7JZ1+7Zrw5+/3p2urhkGXJSI1kIKjBkjNPMBtM5fyRWY2t53ThTvP765RUyISMQqOaszdeWlxGr95aw1xdWKYesNgzureMuiyRKSGU3BUU2l7DvGL11byWeouhnSO59GrTtUDfSJSKRQc1Yy788KiLfz+7bU48NsRvRmT3IFatdQBLiKVQ8FRjezIyuHnr6zg4y92cnrX5kwc2U/PZohIpVNwVAPuzuvLtvLAm2vIzS/ggct6M3aIWhkiEgwFRxW3bnsW//v31SzatIf+7ZvyyPdPoUtLDbMVkeAoOKqo7Jw8HvvgS5771yYaxdXmDyP7clVSe7UyRCRwCo4qxt15c0UGv3trDTsP5DJ6UHt+/t0eNGsQG3RpIiKAgqNKWbRxDw+9u47Fm/bSt20Tnh47kFMTmwVdlojIf1FwVAEr0/fz8Hvr+fiLnbRqVJcHr+jD6EGJxOi2lIhUQQqOAH25I5s/v/8F76zaTtP6dfjFRT247rSO1IuNCbo0EZFjUnAE4PO0fUz5bCNvrdhG/dja/Pi8boz/Ticax9UJujQRkVIpOCpJXkEhc1dm8Nz8TXyeto9GdWvzg+905uazuhCvjm8RqUYUHBG2bnsWf1+2jdeXpbMjK5dOLRrwwGW9GTWwHQ3r6n9+Eal+9JerghUWOsvT9zFvXSbvrdnBuu3ZxNQyzurekokjO3BW95Z6FkNEqrWIBoeZXQg8BsQAz7r7xGL7Lbx/OHAIGOfuS493rpnFAy8BHYFNwPfdfW8kr+N4cvIKWLc9m5RNe1iyeS+LNu5h98Ej1DIYkNiM34zozcV9E2jesG5QJYqIVKiIBYeZxQBPAMOAdGCxmc1x9zVFDrsI6Bb+SgaeBJJLOfde4EN3n2hm94Zf3xOp6wDILyhkR3Yu2/YdZuvew6RmHuCLHdl8mXmAzbsPUuih49o2rceZ3Vty9sktObNbSz20JyI1UiRbHIOBVHffAGBmLwIjgKLBMQKY7u4OLDCzpmaWQKg1caxzRwBnh8+fBnxEhILjrx9+yUuL09ielUPB0XQAYmoZHZvXp0ebRlx6ykmc3LoRAzs003oYIhIVIhkcbYG0Iq/TCbUqSjumbSnntnb3DAB3zzCzViV9uJlNACYAJCYmntAFtG5cl+RO8bRtVo+TmtajbdPQ9/bx9ahbW89aiEh0imRwlNQD7GU8piznHpe7TwImASQlJZXr3KOuGpTIVYNOLHRERGqqWhF873SgfZHX7YBtZTzmeOfuCN/OIvw9swJrFhGRUkQyOBYD3cysk5nFAqOBOcWOmQNcZyFDgP3h21DHO3cOcH345+uBNyJ4DSIiUkzEblW5e76Z3Q68S2hI7RR3X21mt4T3PwXMJTQUN5XQcNwbjndu+K0nArPNbDywBbgyUtcgIiLfZKEBTTVbUlKSp6SkBF2GiEi1YmZL3D2p+PZI3qoSEZEaSMEhIiLlouAQEZFyUXCIiEi5REXnuJntBDaf4OktgF0VWE51oGuODrrm6PBtrrmDu7csvjEqguPbMLOUkkYV1GS65uiga44Okbhm3aoSEZFyUXCIiEi5KDhKNynoAgKga44OuuboUOHXrD4OEREpF7U4RESkXBQcIiJSLgqO4zCzC81svZmlhtc3r9HMrL2ZzTOztWa22sx+HHRNlcHMYsxsmZm9FXQtlSG8RPMrZrYu/N/6tKBrijQzuyv8O73KzGaZWY1b59nMpphZppmtKrIt3szeN7Mvw9+bVcRnKTiOwcxigCeAi4BewNVm1ivYqiIuH/iJu/cEhgC3RcE1A/wYWBt0EZXoMeAf7t4DOIUafu1m1ha4A0hy9z6ElmoYHWxVETEVuLDYtnuBD929G/Bh+PW3puA4tsFAqrtvcPcjwIvAiIBriih3z3D3peGfswn9QWkbbFWRZWbtgIuBZ4OupTKYWWPgTGAygLsfcfd9gRZVOWoD9cysNlCfb65GWu25+yfAnmKbRwDTwj9PAy6viM9ScBxbWyCtyOt0avgf0aLMrCNwKrAw4FIi7VHg50BhwHVUls7ATuC58O25Z82sQdBFRZK7bwUeJrTwWwahlUbfC7aqStM6vKoq4e+tKuJNFRzHZiVsi4qxy2bWEHgVuNPds4KuJ1LM7BIg092XBF1LJaoNDACedPdTgYNU0O2Lqip8X38E0Ak4CWhgZtcGW1X1puA4tnSgfZHX7aiBzdvizKwOodCY6e6vBV1PhJ0OXGZmmwjdijzXzJ4PtqSISwfS3f1oS/IVQkFSk50PbHT3ne6eB7wGDA24psqyw8wSAMLfMyviTRUcx7YY6GZmncwsllBn2pyAa4ooMzNC977Xuvufg64n0tz9F+7ezt07Evrv+093r9H/EnX37UCamZ0c3nQesCbAkirDFmCImdUP/46fRw0fEFDEHOD68M/XA29UxJvWrog3qYncPd/MbgfeJTQKY4q7rw64rEg7HRgLrDSzz8Pb7nP3ucGVJBHwI2Bm+B9EG4AbAq4notx9oZm9AiwlNHJwGTVw6hEzmwWcDbQws3Tg18BEYLaZjScUoFdWyGdpyhERESkP3aoSEZFyUXCIiEi5KDhERKRcFBwiIlIuCg4RESkXBYdICczsIzP7brFtd5rZ345x/CYzaxGeefaHEazrTjO7zszGhYdfFt3Xwsx2mlldM3vRzLpFqg6JbgoOkZLN4pszqI4Obz+epkBEgiM8Qd+NwAuEnn4eZmb1ixzyPWCOu+cCTxKag0ukwik4REr2CnCJmdWFryd9PAloZ2Yrw+s6/LGE8yYCXczsczN7yMwamtmHZrY0fN7XMyyb2f+E18R4P7xGxE/D27uY2T/MbImZfWpmPcKnnAssdff88BxinwCXFvnsosH2KXB+OGxEKpSCQ6QE7r4bWMR/1jcYTWgWgT8S+gPeHxhkZpcXO/Ve4Ct37+/uPwNygCvcfQBwDvCIhSQBowjNQDwSSCryHpOAH7n7QOCnwNHbY6cDRSdk/LpVZGYnAd2BeeH6C4FUQuttiFQoBYfIsRW9XTWa0ASBH4Uny8sHZhJa2+J4DPi9ma0APiA0NX9r4AzgDXc/HF775E34embiocDL4WlfngYSwu+VQGhK9KPeAs4Ir7HxfeAVdy8osj+TUCtJpEKpGStybH8H/mxmA4B6wHKgSznfYwzQEhjo7nnhmXjjKHnafgj9Y26fu/cvYd/h8LkAuPthM/sHcAWhYLur2PFx4XNEKpRaHCLH4O4HgI+AKYRaHwuBs8Kjl2KAq4GPi52WDTQq8roJoTU/8szsHKBDePtnwKVmFhduZVwc/swsYKOZXQmhGYvN7OjtprVA12KfNwu4m1ArZkGxfd2Bmj4xpwRAwSFyfLMI9RO8GF5B7ReE+hGWE+qo/q9pqsN9I/PDnecPEbqdlWRmKYRaH+vCxy0mNOX1ckIjpFKA/eG3GQOMN7PlhP7wH+1Qf4dv3hp7j9DtqJe8yIylZtYaOHx09TeRiqTZcUUCYmYN3f1AeEjtJ8CEo2u+H+ec14Gfu/uXpRx3F5Dl7pMrrmKREPVxiARnkpn1ItQXMa200Ai7l1An+XGDA9gHzPh25YmUTC0OEREpF/VxiIhIuSg4RESkXBQcIiJSLgoOEREpFwWHiIiUy/8DEMZ5fS+DwjcAAAAASUVORK5CYII=\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "plt.plot(voltage_values,current_values,label='1') \n", + "plt.figure()\n", + "plt.plot(voltage_values,current_values,label='2') \n", + "plt.legend()\n", + "plt.xlabel('Voltage(V)')\n", + "plt.ylabel('Current(A)')\n", + "plt.title(\"I-V plot\")\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1f89f490-e901-43cb-b1f4-cda5b4cf6ae8", + "metadata": {}, "outputs": [], "source": [] } -- GitLab