diff --git a/tests/Untitled.ipynb b/tests/Untitled.ipynb deleted file mode 100644 index a46de99..0000000 --- a/tests/Untitled.ipynb +++ /dev/null @@ -1,486 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "d911d475", - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import numpy as np\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "3493dc7e", - "metadata": {}, - "outputs": [], - "source": [ - "df = pd.read_csv('simulation_log.tsv', sep='\\t')" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "f6879589", - "metadata": {}, - "outputs": [], - "source": [ - "df[['measurement']] = np.log(df[['measurement']])" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "2d009670", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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observableIdsimulationConditionIdtimemeasurement
0observable_x_0acconditioninf-0.290686
1observable_x_0acconditioninf-0.289240
2observable_x_0acconditioninf-0.292469
3observable_x_0acconditioninf-0.293003
4observable_x_0acconditioninf-0.308323
...............
247observable_x_k16conditioninf-3.500572
248observable_x_k16conditioninf-3.450204
249observable_x_k16conditioninf-3.485566
250observable_x_k16conditioninf-3.407775
251observable_x_k16conditioninf-3.376356
\n", - "

252 rows × 4 columns

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" - ], - "text/plain": [ - " observableId simulationConditionId time measurement\n", - "0 observable_x_0ac condition inf -0.290686\n", - "1 observable_x_0ac condition inf -0.289240\n", - "2 observable_x_0ac condition inf -0.292469\n", - "3 observable_x_0ac condition inf -0.293003\n", - "4 observable_x_0ac condition inf -0.308323\n", - ".. ... ... ... ...\n", - "247 observable_x_k16 condition inf -3.500572\n", - "248 observable_x_k16 condition inf -3.450204\n", - "249 observable_x_k16 condition inf -3.485566\n", - "250 observable_x_k16 condition inf -3.407775\n", - "251 observable_x_k16 condition inf -3.376356\n", - "\n", - "[252 rows x 4 columns]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "a16a3664", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "observableId\tsimulationConditionId\ttime\tmeasurement\r\n", - 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"observable_x_k08k16\tcondition\tinf\t-6.582198182063932\r\n", - "observable_x_k08k16\tcondition\tinf\t-5.25469893370869\r\n", - "observable_x_k08k16\tcondition\tinf\t-5.014011858278367\r\n", - "observable_x_k08k16\tcondition\tinf\t-5.005498718915167\r\n", - "observable_x_k08k16\tcondition\tinf\t-4.87722002758911\r\n", - "observable_x_k08k16\tcondition\tinf\t-5.512122457331868\r\n", - "observable_x_k08k16\tcondition\tinf\t-6.661157422927763\r\n", - "observable_x_k08k16\tcondition\tinf\t-5.63216867679937\r\n", - "observable_x_k12\tcondition\tinf\t-2.6608167093474018\r\n", - "observable_x_k12\tcondition\tinf\t-2.7221753778547\r\n", - "observable_x_k12\tcondition\tinf\t-2.650257123620511\r\n", - "observable_x_k12\tcondition\tinf\t-2.622418762289464\r\n", - "observable_x_k12\tcondition\tinf\t-2.6314419555244504\r\n", - "observable_x_k12\tcondition\tinf\t-2.7199905522128707\r\n", - "observable_x_k12\tcondition\tinf\t-2.499270948930022\r\n", - "observable_x_k12\tcondition\tinf\t-2.52467410303241\r\n", - "observable_x_k12\tcondition\tinf\t-2.5766331221894783\r\n", - "observable_x_k12\tcondition\tinf\t-2.494461760406975\r\n", - "observable_x_k12\tcondition\tinf\t-2.4152909430232157\r\n", - "observable_x_k12\tcondition\tinf\t-2.5522719002832117\r\n", - "observable_x_k12\tcondition\tinf\t-2.5898131951725927\r\n", - "observable_x_k12\tcondition\tinf\t-2.468190975172467\r\n", - "observable_x_k12\tcondition\tinf\t-2.641812391916477\r\n", - "observable_x_k12\tcondition\tinf\t-2.602095727872111\r\n", - "observable_x_k12\tcondition\tinf\t-2.8600640363588727\r\n", - "observable_x_k12\tcondition\tinf\t-2.7745078810475126\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.940913182569468\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.999928125954319\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.948521259652745\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.960403797716749\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.838409642375882\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.794518339594086\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.450134141069343\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.781193824369052\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.7429208902592235\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.733518007986758\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.6019574324121955\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.890959304541467\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.765065325341567\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.805561493815936\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.824618797009537\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.7437152690369615\r\n", - "observable_x_k12k16\tcondition\tinf\t-4.974630747265814\r\n", - "observable_x_k12k16\tcondition\tinf\t-5.094762376483778\r\n", - "observable_x_k16\tcondition\tinf\t-3.3813837367796107\r\n", - "observable_x_k16\tcondition\tinf\t-3.29717180604042\r\n", - "observable_x_k16\tcondition\tinf\t-3.410591660041159\r\n", - "observable_x_k16\tcondition\tinf\t-3.4516324307633655\r\n", - "observable_x_k16\tcondition\tinf\t-3.401887362644296\r\n", - "observable_x_k16\tcondition\tinf\t-3.3486906410982966\r\n", - "observable_x_k16\tcondition\tinf\t-3.345038518873625\r\n", - "observable_x_k16\tcondition\tinf\t-3.285570495492995\r\n", - "observable_x_k16\tcondition\tinf\t-3.3452314280203477\r\n", - "observable_x_k16\tcondition\tinf\t-3.301249990361902\r\n", - "observable_x_k16\tcondition\tinf\t-3.209495693676679\r\n", - "observable_x_k16\tcondition\tinf\t-3.4783121120478713\r\n", - "observable_x_k16\tcondition\tinf\t-3.5732442202222177\r\n", - "observable_x_k16\tcondition\tinf\t-3.5005721576571136\r\n", - "observable_x_k16\tcondition\tinf\t-3.4502040481665266\r\n", - "observable_x_k16\tcondition\tinf\t-3.4855661146043553\r\n", - "observable_x_k16\tcondition\tinf\t-3.4077746857813893\r\n", - "observable_x_k16\tcondition\tinf\t-3.37635608158973\r\n" - ] - } - ], - "source": [ - "!cat simulation_log.tsv" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "c46c0782", - "metadata": {}, - "outputs": [], - "source": [ - "df.to_csv('simulation_log.tsv', index=None, sep='\\t')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3b161966", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.3" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -}