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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- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
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- " simulationConditionId | \n",
- " time | \n",
- " measurement | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " 0 | \n",
- " observable_x_0ac | \n",
- " condition | \n",
- " inf | \n",
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\n",
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- " 1 | \n",
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\n",
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\n",
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- " 4 | \n",
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\n",
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- " ... | \n",
- " ... | \n",
- " ... | \n",
- "
\n",
- " \n",
- " 247 | \n",
- " observable_x_k16 | \n",
- " condition | \n",
- " inf | \n",
- " -3.500572 | \n",
- "
\n",
- " \n",
- " 248 | \n",
- " observable_x_k16 | \n",
- " condition | \n",
- " inf | \n",
- " -3.450204 | \n",
- "
\n",
- " \n",
- " 249 | \n",
- " observable_x_k16 | \n",
- " condition | \n",
- " inf | \n",
- " -3.485566 | \n",
- "
\n",
- " \n",
- " 250 | \n",
- " observable_x_k16 | \n",
- " condition | \n",
- " inf | \n",
- " -3.407775 | \n",
- "
\n",
- " \n",
- " 251 | \n",
- " observable_x_k16 | \n",
- " condition | \n",
- " inf | \n",
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- " \n",
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- "
252 rows × 4 columns
\n",
- "
"
- ],
- "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",
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- "observable_x_k08k12k16\tcondition\tinf\t-5.4440846851522915\r\n",
- "observable_x_k08k12k16\tcondition\tinf\t-5.486664593281929\r\n",
- "observable_x_k08k12k16\tcondition\tinf\t-5.596748928295046\r\n",
- "observable_x_k08k12k16\tcondition\tinf\t-5.893425620993309\r\n",
- "observable_x_k08k12k16\tcondition\tinf\t-5.740254662069308\r\n",
- "observable_x_k08k12k16\tcondition\tinf\t-5.541296167190519\r\n",
- "observable_x_k08k12k16\tcondition\tinf\t-6.059717178354641\r\n",
- "observable_x_k08k12k16\tcondition\tinf\t-6.54759051156722\r\n",
- "observable_x_k08k16\tcondition\tinf\t-5.565881175247555\r\n",
- "observable_x_k08k16\tcondition\tinf\t-5.003913719576401\r\n",
- "observable_x_k08k16\tcondition\tinf\t-5.197956056119271\r\n",
- "observable_x_k08k16\tcondition\tinf\t-5.531509536545505\r\n",
- "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
-}