NF1_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from scipy.stats import ttest_ind\n",
    "from matplotlib.lines import Line2D"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Load Data\n",
    "T_ON = pd.read_csv('result_tables/T_ON.csv')\n",
    "T_OFFsus = pd.read_csv('result_tables/T_OFFsus.csv')\n",
    "T_OFFtr = pd.read_csv('result_tables/T_OFFtr.csv')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def plot_points_mean(df, celltype, ylabel, title):\n",
    "\n",
    "    pastel_palette = sns.color_palette(\"pastel\")\n",
    "    genotype_order = ['NF1(WT/WT)', 'NF1(NF1-KO/WT)', 'NF1_KO_labeled', 'NF1_KO_NOT_labeled']\n",
    "\n",
    "    # Scatter plot for individual points\n",
    "    plt.figure(figsize=(12, 6))\n",
    "\n",
    "    sns.stripplot(x='genotype', y=ylabel, data=df, jitter=True, alpha=0.5, order=genotype_order)\n",
    "\n",
    "   \n",
    "    grouped_df = df.groupby('genotype')[ylabel].agg(['mean', 'sem']).reset_index()\n",
    "    cellcount = df['genotype'].count()\n",
    "\n",
    "    \n",
    "    ax = sns.barplot(x='genotype', y='mean', data=grouped_df, errorbar=None, palette=pastel_palette, order=genotype_order)\n",
    "\n",
    "    \n",
    "    plt.xlabel('Genotype')\n",
    "    plt.ylabel(title)\n",
    "    plt.title('{} for Each Genotype {} N = {}'.format(title, celltype, cellcount))\n",
    "\n",
    "  \n",
    "    legend_elements = [\n",
    "        Line2D([0], [0], marker='o', color='w', markerfacecolor=pastel_palette[0], markersize=10, label='Individual Points'),\n",
    "        Line2D([0], [0], marker='s', color='w', markerfacecolor=pastel_palette[1], markersize=10, label='Bar Plot (Mean)'),\n",
    "        Line2D([0], [0], marker='|', color='k', markerfacecolor='red', markersize=10, label='Error Bars (SEM)'), \n",
    "        Line2D([0], [0], marker='*', color='w', markerfacecolor='red', markersize=10, label='p < 0.05 t-test')\n",
    "    ]\n",
    "    plt.legend(handles=legend_elements, loc='upper left', bbox_to_anchor=(1, 1))\n",
    "\n",
    "    # Error bars\n",
    "    for i, (bar, e) in enumerate(zip(ax.patches, grouped_df['sem'])):\n",
    "        y = bar.get_height()  # Correct Y value\n",
    "        ax.errorbar(\n",
    "            bar.get_x() + bar.get_width() / 2,\n",
    "            y,\n",
    "            e,\n",
    "            fmt='k.',\n",
    "            capsize=5,\n",
    "            capthick=1,\n",
    "            elinewidth=1\n",
    "        )\n",
    "    \n",
    "    # Perform t-tests and correct for multiple comparisons\n",
    "    control_genotype = 'NF1(WT/WT)'\n",
    "    mutant_genotypes = ['NF1(NF1-KO/WT)', 'NF1_KO_labeled', 'NF1_KO_NOT_labeled']\n",
    "    \n",
    "    \n",
    "    alpha_corrected = 0.05 / len(mutant_genotypes)\n",
    "\n",
    "    for mutant_genotype in mutant_genotypes:\n",
    "        # Extract y values values for control and mutant genotypes\n",
    "        control_values = df[df['genotype'] == control_genotype][ylabel]\n",
    "        mutant_values = df[df['genotype'] == mutant_genotype][ylabel]\n",
    "        \n",
    "        # Perform t-test\n",
    "        t_stat, p_value = ttest_ind(control_values, mutant_values)\n",
    "        \n",
    "        # Display results\n",
    "        print(f\"T-test between {control_genotype} and {mutant_genotype}:\")\n",
    "        print(f\"T-statistic: {t_stat}\")\n",
    "        print(f\"P-value: {p_value}\")\n",
    "        \n",
    "        # Add stars for significant p-values\n",
    "        if p_value < alpha_corrected:\n",
    "            star_position = genotype_order.index(mutant_genotype)\n",
    "            star_height = grouped_df[grouped_df['genotype'] == mutant_genotype]['mean'].values[0] + e + 2\n",
    "            plt.text(star_position, star_height, \"*\", ha='center', va='bottom', color='red', fontsize=14)\n",
    "\n",
    "        print(\"\\n\")\n",
    "\n",
    "    plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to plot the 3 alphas per condition\n",
    "def show_plots (title, ylabel,  ylabelON):\n",
    "    \n",
    "    plot_points_mean(T_ON, 'ON alpha', ylabelON, title)\n",
    "    plot_points_mean(T_OFFsus, 'OFF sustained alpha', ylabel, title)\n",
    "    plot_points_mean(T_OFFtr, 'OFF transient alpha', ylabel, title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T-test between NF1(WT/WT) and NF1(NF1-KO/WT):\n",
      "T-statistic: -0.9951707175537361\n",
      "P-value: 0.32251137899875393\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_labeled:\n",
      "T-statistic: -2.656770550408341\n",
      "P-value: 0.010561333398888892\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_NOT_labeled:\n",
      "T-statistic: -3.505581840406278\n",
      "P-value: 0.001079004741518981\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
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2751vv/1WderUUZcuXYrcb+/eveXo6Gh93qRJE0kq1uWh+enfv7+cnZ2tjzFjxkjKutTrhx9+0G233SYPD488P5eUlJQ8l5D17dvX5nnu3DZv3qzk5OQ8783w8HDdcsstxXpvOjg46NFHH9VXX32l6OhoSVnrXa1atUojR46UYRh5ji/nOejt7a0+ffrop59+UmZm5mUdZ0mZf8+Oy51btvvvv18NGjTQpEmTbC4VLY5PP/1U7dq1k5eXl5ycnOTs7KwFCxbk+7spP4MHD7bJq3r16mrbtm2ey1ENw1CfPn1s2po0aZLnfbd27Vp16dJFvr6+cnR0lLOzs/7v//5P58+f15kzZ4p9XAEBAZo4caI+//xzbd26tdj9pKzLsvM7N3M/5s2bV+g4/v7+GjJkiD744APNmzdPsbGx2rNnj4YMGWI9Bx0csv4sHzJkiPz9/fXQQw9p69atunDhgpYuXWpdkDw7DgCAaxH/igFAEXIvZuvk5KSAgADr5W2nT5+WlFVYyfkB3NnZWR9//LHNZXaDBw/W3Llz9cADD+i7777Ttm3btH37dgUFBeVbLFq2bJnc3d31wAMPFPihM7c5c+Zo4sSJWrlypTp16iR/f3/deuutedaRyj6O/I41+9jOnz8vJycnBQUF2cQZhqGQkJA8l/gV180336yVK1dai3dVq1ZVo0aNbNatKsz06dP19ttva968eerRo4e1PftnMWHChDw/i5EjR0pSoZc9FuT8+fP53iUvLCzMuj2nkt5Rz9fXV61atcrzyDnOuHHjNHnyZN1666368ssvtXXrVm3fvl1Nmza1ee+cPXtWVatWLdZ+c//8sy/3KaxwKUnVqlXLt1D18ssvWz+U53T+/HllZGTo9ddfz/NzyV4jJ/fPpajcsl/zgn4uxX1vDhs2TO7u7nr77bclZV2i6O7ubrM+Wbb8FrYOCQlRWlqaEhMTL+s4c6pWrZok6ciRIwXGZK9RFh4enu92R0dHzZgxQ/v379f7779f4Di5LV++XAMHDlSVKlW0ZMkSbd68Wdu3b9ewYcOsl4kVpaDXJ/fPwsPDI09B3dXV1WY/27ZtU7du3SRJ77zzjjZu3Kjt27fr6aefllT0ezS3sWPHKiwsrMSXKlarVk3NmjUr8lGrVq0ix3rrrbc0aNAgjRw5UgEBAWrevLnq1aun3r17y9XV1fqeDwwMtC48f+ONN8rPz0+jR4/WK6+8IkmqUqVKiY4BAICrCXfHA4AinDp1yuaP/oyMDJ0/f97mA4OUdUej6tWrFzhOfHy8vvrqK02ZMkWTJk2ytmevxZKfDz/8UJMnT1aHDh30/fffq1mzZkXm6+npqWnTpmnatGk6ffq0dVZUnz59bBamzn0c2ccq/VMACAgIUEZGhs6ePWtTiDJNU6dOnbLOaLoc/fr1U79+/ZSamqotW7bo+eef1+DBg1WjRg21adOmwH6LFi3S5MmTNXXq1DyFguyfxZNPPmm9q1Rul3NXqYCAgDzrKUlZ6zTl3G+24hYMS2LJkiW69957NWPGDJv2c+fOqVKlStbnQUFBOnHiRKnvP6euXbvqjTfe0C+//GKzLtR1112Xb7yfn58cHR11zz335FlnKVtERESJcsh+jxb0c8n9MymIr6+v7rvvPr377ruaMGGC3nvvPQ0ePNjmNc2WfX7kbnNxcZGXl5ecnZ3/1XF27dpVTz31lFauXGlTXM1p5cqV1tiC9OvXT+3atdOUKVM0f/78AuNyWrJkiSIiIvTxxx/bvH9zLxZemIJen9wFxeJYtmyZnJ2d9dVXX9kUrLKPv6Tc3d01depUPfTQQ/r666+L3W/YsGHFKublnvWaH09PTy1evFhz5szR8ePHFRYWpsDAQNWrV09t27aVk9M/f5a3bt1aBw4c0NGjR5WUlKTatWtbF6O/+eabi50/AABXG2ZCAUARPvzwQ5vnn3zyiTIyMtSxY0dJUvfu3eXk5KTDhw/nO5sl+0O6YRgyTTPPwrTvvvtugYva+vv7a82aNapfv746depU4kt5KleurKFDh+quu+7SwYMH89z5LvexffTRR5JkPbbOnTtLyvqAmtPnn3+upKQk63YpayZDSWcnZPfr0KGDdVHigu6mJUmrVq3Sgw8+qGHDhmnKlCl5ttetW1e1a9fWr7/+WuDPwtvbu8Q5du7cWQcOHNDOnTtt2j/44AMZhqFOnTqVeMySMgwjz3vn66+/znMpY8+ePfX777/nuUSwND3++OPy8PDQqFGjdPHixSLjPTw81KlTJ+3atUtNmjTJ9+dS0kJFmzZt5O7unue9eeLECa1duzbPe1MqePbMmDFjdO7cOd1+++26cOFCvovNS1mzhXLO1rl48aK+/PJL3XTTTXJ0dPzXx9mqVSt169ZNCxYs0MaNG/Ns//nnn7Vw4UL16NFDLVu2LPjFkTRz5kwdP37ceglXUQzDkIuLi00B6tSpU8W6O162pUuX2iymf+zYMW3atMn6+6QkDMOQk5OTzeWiycnJWrx4cYnHyjZs2DDVr1+/RJcqltbleDn5+fmpSZMmCgwM1BdffKGDBw/qscceyze2Ro0aatiwoZydnfXyyy8rLCxMd9xxR7H3BQDA1YaZUABQhOXLl8vJyUldu3bV/v37NXnyZDVt2lQDBw6UlPUh4ZlnntHTTz+tP//8Uz169JCfn59Onz6tbdu2WWcm+fj46Oabb9aLL76owMBA1ahRQ+vXr9eCBQvynXWRzdvbW6tWrVL//v3VtWtXffHFF4UWPW644QZFRkaqSZMm8vPzU1RUlBYvXqw2bdrIw8PDGufi4qKXX35ZiYmJat26tTZt2qTp06erZ8+e1tvDd+3aVd27d9fEiROVkJCgdu3aac+ePZoyZYqaN2+ue+65xzpe48aNtWzZMn388ceqWbOm3Nzc1Lhx43xz/L//+z+dOHFCnTt3VtWqVXXhwgW99tprcnZ2VocOHfLtc+TIEd1xxx2qWbOm7r///jwFuebNm8vV1VXz5s1Tz5491b17dw0dOlRVqlRRbGysoqKitHPnTn366acFvnYFefzxx/XBBx+od+/eeuaZZ1S9enV9/fXXevPNN/XII4+oTp06JR4zpwsXLuRbYHR1dVXz5s0lZd2efdGiRapXr56aNGmiHTt26MUXX8xz6d3YsWP18ccfq1+/fpo0aZKuv/56JScna/369YqMjCyVgtl1112npUuX6q677lLjxo31yCOPqEWLFnJ1ddWZM2f0/fffS5J8fHysfV577TW1b99eN910kx555BHVqFFDFy9e1KFDh/Tll1+WuGhWqVIlTZ48WU899ZTuvfde3XXXXTp//rymTZsmNzc3myJl9vtw5syZ6tmzpxwdHdWkSRO5uLhIkurUqaMePXro22+/Vfv27dW0adN89+no6KiuXbtq3LhxslgsmjlzphISEmzuevdvj/ODDz5Qly5d1K1bN40ZM8ZaTFu7dq1ee+011atXr9C7PGZr166d+vXrV+wiUmRkpJYvX66RI0fq9ttv1/Hjx/Xss88qNDQ0z6W8BTlz5oxuu+02Pfjgg4qPj9eUKVPk5uamJ598slj9c+rdu7deeeUVDR48WA899JDOnz+vl156Kd+7yxVX9qWKt912m6R/1hkrTI0aNVSjRo3L3mdOn3/+uU6ePKn69esrJSVF69at02uvvaaHH35Y/fr1s4l9+umn1bhxY4WGhio6OloLFy7U1q1b9fXXX8vd3b1U8gEAoEyU6bLoAHAVy7670o4dO8w+ffqYXl5epre3t3nXXXeZp0+fzhO/cuVKs1OnTqaPj4/p6upqVq9e3bz99tvNNWvWWGNOnDhhDhgwwPTz8zO9vb3NHj16mPv27ctzt6mcd8fLlpqaag4YMMB0c3Mzv/766wLznjRpktmqVSvTz8/PdHV1NWvWrGk+/vjj5rlz56wx9913n+np6Wnu2bPH7Nixo+nu7m76+/ubjzzyiJmYmGgzXnJysjlx4kSzevXqprOzsxkaGmo+8sgjZlxcnE3c0aNHzW7dupne3t6mJLN69eoF5vjVV1+ZPXv2NKtUqWK6uLiYwcHBZq9evWzuBpX77njZd+Aq6HHkyBFr319//dUcOHCgGRwcbDo7O5shISHmLbfcYr799tsF5pStoLtmHTt2zBw8eLAZEBBgOjs7m3Xr1jVffPFFmzvAZef84osvFrmfnPsr6JiqVKlijYuLizOHDx9uBgcHmx4eHmb79u3NDRs2mB06dMhzZ664uDjzscceM6tVq2Y6OzubwcHBZu/eva13XSssT0nmlClTipX74cOHzdGjR5t169Y13d3dre/7O+64w1yxYkWeO5gdOXLEHDZsmFmlShXT2dnZDAoKMtu2bWtOnz7dGlPQ3dwKulviu+++azZp0sR0cXExfX19zX79+pn79++3iUlNTTUfeOABMygoyDQMI8/7xTRNc9GiRaYkc9myZXmOM3vfM2fONKdNm2ZWrVrVdHFxMZs3b25+9913+cYXdZyFSUxMNGfMmGE2a9bM9PDwMD08PMwmTZqY06dPz3N+mmbB79kDBw6Yjo6Oxb473gsvvGDWqFHDdHV1NevXr2++88471t+DufeX393xFi9ebI4ZM8YMCgoyXV1dzZtuusn85ZdfbPpm/+7JLb/9LFy40Kxbt67199jzzz9vLliwIN+fX0HjnT17Ns+2tm3bmpKKdXe80rRixQqzWbNmpqenp+nu7m62atXKXLBgQb53+nvkkUfMatWqmS4uLmZgYKA5YMAAc8+ePVc0XwAA7MEwzRzzpgEAVlOnTtW0adN09uzZYq8vc60YOnSoPvvsMyUmJpZ1KsBVYcCAAdqyZYuOHj2a586GR48eVUREhF588UVNmDChjDK8eq1bt06dOnXSp59+qttvv72s0wEAAFcxLscDAAAVUmpqqnbu3Klt27ZpxYoVeuWVV/IUoAAAAFB6KEIBAIAKKSYmRm3btpWPj49GjBih0aNHl3VKAAAA5RqX4wEAAAAAAMDuHMo6AQAAAAAAAJR/FKEAAAAAAABgdxShAAAAAAAAYHcsTF5MFotFJ0+elLe3twzDKOt0AAAAAADlnGmaunjxosLCwuTgwBwSXPsoQhXTyZMnFR4eXtZpAAAAAAAqmOPHj6tq1aplnQbwr1GEKiZvb29JWSe/j49PGWcDAAAAACjvEhISFB4ebv08ClzrKEIVU/YleD4+PhShAAAAAABXDEvCoLzgolIAAAAAAADYHUUoAAAAAAAA2B1FKAAAAAAAANgda0IBAAAAAHCNMk1TGRkZyszMLOtUUEE5OjrKycmpWGuXUYQCAAAAAOAalJaWppiYGF26dKmsU0EF5+HhodDQULm4uBQaRxEKAAAAAIBrjMVi0ZEjR+To6KiwsDC5uLhwFz1ccaZpKi0tTWfPntWRI0dUu3ZtOTgUvPITRSgAAAAAAK4xaWlpslgsCg8Pl4eHR1mngwrM3d1dzs7OOnbsmNLS0uTm5lZgLAuTAwAAAABwjSps1glwpRT3fci7FQAAAACACspimoU+B0oTl+MBAAAAAFDBZBebomMzdSw2Q2mZplwcDVX3d1I1f0dJkgNrTKGUMRMKAAAAAIAKxDRNnYzP1Ge7k/XT4VQdi8tUTIJFx+Iy9dPhVH22O1kn4zNlXsWzogzD0MqVKyVJR48elWEY2r1792X1z8/ljFkcNWrU0KuvvlqqY+Zkr7xLC0UoAAAAAAAqCItp6q/4TP34e6pS0vMvMqWkm/rx91T9FZ9Z6pfnDR06VLfeemupjhkeHq6YmBg1atSo2H1iYmLUs2fPUs2jNEydOlWGYcgwDDk6Oio8PFwPPPCAzp49W6z+l/NaTJ06Vc2aNbvMjEuGIhQAAAAAABXIpiNpKqq0ZErafCTtSqTzrzk6OiokJEROTsVfcSgkJESurq52zOryNWzYUDExMYqOjtZbb72lL7/8Uvfee2+x+l7Oa3ElUYQCAAAAAKACsJimomMzC5wBlVtyuqnouNKfDZVTx44dNWbMGD3xxBPy9/dXSEiIpk6dahPzxx9/6Oabb5abm5saNGig1atX22zPeQmaxWJR1apV9fbbb9vE7Ny5U4Zh6M8//5SU93K8bdu2qXnz5nJzc1OrVq20a9cum/6LFi1SpUqVbNpWrlwpI8e6WYcPH1a/fv1UuXJleXl5qXXr1lqzZk2JXxMnJyeFhISoSpUqioyM1JgxY/T9998rOTlZFotFzzzzjKpWrSpXV1c1a9ZMq1atyve1kKR169bJMAz98MMPatWqlTw8PNS2bVsdPHjQelzTpk3Tr7/+ap2BtWjRIklZM6SqVasmV1dXhYWFacyYMSU+ltwoQgEAAAAAUAE4GIaOxWaUqM+x2Ay7L1D+/vvvy9PTU1u3btWsWbP0zDPPWAtNFotF/fv3l6Ojo7Zs2aK3335bEydOLHAsBwcH3Xnnnfrwww9t2j/66CO1adNGNWvWzNMnKSlJkZGRqlu3rnbs2KGpU6dqwoQJJT6OxMRE9erVS2vWrNGuXbvUvXt39enTR9HR0SUeKyd3d3dZLBZlZGTotdde08svv6yXXnpJe/bsUffu3dW3b1/98ccfhY7x9NNP6+WXX9Yvv/wiJycnDRs2TJI0aNAgjR8/3jr7KiYmRoMGDdJnn32m2bNna968efrjjz+0cuVKNW7c+F8dh1TGRaiffvpJffr0UVhYWJ4qZHp6uiZOnKjGjRvL09NTYWFhuvfee3Xy5EmbMVJTUzV69GgFBgbK09NTffv21YkTJ2xi4uLidM8998jX11e+vr665557dOHChStwhAAAAAAAXD3SMks2qyktw/6Lkzdp0kRTpkxR7dq1de+996pVq1b64YcfJElr1qxRVFSUFi9erGbNmunmm2/WjBkzCh1vyJAh2rhxo44dOyYpq5C1bNky3X333fnGf/jhh8rMzNTChQvVsGFDRUZG6j//+U+Jj6Np06YaMWKEGjdurNq1a2v69OmqWbOmvvjiixKPle23337TW2+9peuvv17e3t566aWXNHHiRN15552qW7euZs6cqWbNmhW52Plzzz2nDh06qEGDBpo0aZI2bdqklJQUubu7y8vLyzr7KiQkRO7u7oqOjlZISIi6dOmiatWq6frrr9eDDz542ceRrUyLUElJSWratKnmzp2bZ9ulS5e0c+dOTZ48WTt37tTy5cv1+++/q2/fvjZxY8eO1YoVK7Rs2TL9/PPPSkxMVGRkpDIzM60xgwcP1u7du7Vq1SqtWrVKu3fv1j333GP34wMAXBmHziRq6bZozV37h5Zui9ahM4llnRIAAMBVycWxZLOaXJzsOwtKyipC5RQaGqozZ85IkqKiolStWjVVrVrVur1NmzaFjte8eXPVq1dPS5culSStX79eZ86c0cCBA/ONj4qKUtOmTeXh4VHsfeQnKSlJTzzxhBo0aKBKlSrJy8tLv/32W4lnQu3du1deXl5yd3dXgwYNFB4erg8//FAJCQk6efKk2rVrZxPfrl07RUVFFTpmztc4NDRUkqyvcX7uuOMOJScnq2bNmnrwwQe1YsUKZWSUbBZdfsp0paqePXsWuBq9r69vnus8X3/9dV1//fWKjo5WtWrVFB8frwULFmjx4sXq0qWLJGnJkiUKDw/XmjVr1L17d0VFRWnVqlXasmWLbrjhBknSO++8ozZt2ujgwYOqW7eufQ8SAGBXh84k6stf/5kleyo+RV/tOanIJmGqFexVhpkBAABcXSymqer+TjoWl1l08N+q+zvJYpp2vSTP2dnZ5rlhGLJYLJIkM5/1qIxi5DJkyBB99NFHmjRpkj766CN1795dgYGB+cbmt4/cHBwc8sSlp6fbPP/Pf/6j7777Ti+99JJq1aold3d33X777UpLK9kC73Xr1tUXX3whR0dHhYWFWRdQT0hIkJT3+E3TLPI1yfkaZ8dmv8b5CQ8P18GDB7V69WqtWbNGI0eO1Isvvqj169fn+XmVxDW1JlR8fLwMw7AuBrZjxw6lp6erW7du1piwsDA1atRImzZtkiRt3rxZvr6+1gKUJN14443y9fW1xuQnNTVVCQkJNg8AwNVn+9HYPG2mmX87AABAReZgGKrm7yg35+IVlNydDVXzc7T7mlCFadCggaKjo22W5tm8eXOR/QYPHqy9e/dqx44d+uyzzzRkyJBC9/Hrr78qOTnZ2rZlyxabmKCgIF28eFFJSUnWtuzFv7Nt2LBBQ4cO1W233abGjRsrJCRER48eLTLX3FxcXFSrVi1FRETY3MHPx8dHYWFh+vnnn23iN23apPr165d4Pzn3l/Nqsmzu7u7q27ev5syZo3Xr1mnz5s3au3fvZe9HuoaKUCkpKZo0aZIGDx4sHx8fSdKpU6fk4uIiPz8/m9jKlSvr1KlT1pjg4OA84wUHB1tj8vP8889b15Dy9fVVeHh4KR4NAKC0nE9Mzbc9NunauKUwAADAldY2wkVFlZWMv+PKWpcuXVS3bl3de++9+vXXX7VhwwY9/fTTRfaLiIhQ27ZtNXz4cGVkZKhfv34Fxg4ePFgODg4aPny4Dhw4oG+++UYvvfSSTcwNN9wgDw8PPfXUUzp06JA++ugj613kstWqVUvLly/X7t279euvv2rw4MGFzja6HP/5z380c+ZMffzxxzp48KAmTZqk3bt367HHHrvsMWvUqKEjR45o9+7dOnfunFJTU7Vo0SItWLBA+/bt059//qnFixfL3d1d1atX/1f5XxNFqPT0dN15552yWCx68803i4zPPRUtv2lpRU1Xe/LJJxUfH299HD9+/PKSBwDYVYCXa77t/p5l/0cTAADA1cbBMFTF11Gd6rjKvYAZUe7OhjrVcVWYb9nOgpKyLoNbsWKFUlNTdf311+uBBx7Qc889V6y+Q4YM0a+//qr+/fvL3d29wDgvLy99+eWXOnDggJo3b66nn35aM2fOtInx9/fXkiVL9M0336hx48ZaunSppk6dahMze/Zs+fn5qW3bturTp4+6d++uFi1alPiYCzNmzBiNHz9e48ePV+PGjbVq1Sp98cUXql279mWPOWDAAPXo0UOdOnVSUFCQli5dqkqVKumdd95Ru3bt1KRJE/3www/68ssvFRAQ8K/yN8ziXPx4BRiGoRUrVujWW2+1aU9PT9fAgQP1559/au3atTYHvHbtWnXu3FmxsbE2s6GaNm2qW2+9VdOmTdPChQs1bty4PHfDq1SpkmbPnq3777+/WPklJCTI19dX8fHx1plYAICyd+hMor7ac1I5/zUzDLEmFAAAuOYV9jk0JSVFR44cUUREhNzc3Eo8tuXvP56i4zJ1LDZDaRmmXJwMVfd3UjU/R0kq8wIUrh3FfT9e1TOhsgtQf/zxh9asWZOn4tayZUs5OzvbLGAeExOjffv2qW3btpKyVrSPj4/Xtm3brDFbt25VfHy8NQYAcO2qFeylyCZhCvF1k4uTg0J83ShAAQAAFMHBMLLWiPJzVIdabupaz10darlZ14CiAAV7KNO74yUmJurQoUPW59nXIPr7+yssLEy33367du7cqa+++kqZmZnWNZz8/f3l4uIiX19fDR8+XOPHj1dAQID8/f01YcIENW7c2Hq3vPr166tHjx568MEHNW/ePEnSQw89pMjISO6MBwDlRK1gL4pOAAAAlyF3sYniE+ypTItQv/zyizp16mR9Pm7cOEnSfffdp6lTp+qLL76QJDVr1sym348//qiOHTtKyrrm0snJSQMHDlRycrI6d+6sRYsWydHR0Rr/4YcfasyYMda76PXt21dz586145EBAAAAAAAgp6tmTairHWtCAQAAAACuJHuuCQWUpnKxJhQAAAAAAADKB4pQAAAAAAAAsDuKUAAAAAAAALA7ilAAAAAAAFQEpuXK9gNyKdO74wEAAAAAgCvEcJB2rZASzxW/j1eg1Pw2++WECoWZUAAAAAAAVBSJ56SEU8V/lKRgdY2qUaOGXn31VbuMnZaWplq1amnjxo12Gb+07N27V1WrVlVSUpJd90MRCgAAAAAAXBFDhw6VYRjWR0BAgHr06KE9e/bYZX/r1q2z2V9QUJB69uypX3/99bLHnDp1qpo1a1as2Pnz56t69epq166dtS07ly1bttjEpqamKiAgQIZhaN26dZed3+Vo3Lixrr/+es2ePduu+6EIBQAAAAAArpgePXooJiZGMTEx+uGHH+Tk5KTIyMh/NWZ6enqh2w8ePKiYmBh9/fXXiouLU48ePRQfH/+v9lkcr7/+uh544IE87eHh4Xrvvfds2lasWCEvLy+751SQ+++/X2+99ZYyMzPttg+KUAAAAAAA4IpxdXVVSEiIQkJC1KxZM02cOFHHjx/X2bNnrTETJ05UnTp15OHhoZo1a2ry5Mk2habs2UgLFy5UzZo15erqKtM0C9xncHCwQkJCdP311+vll1/WqVOn8sxEyhYdHa1+/frJy8tLPj4+GjhwoE6fPi1JWrRokaZNm6Zff/3VOqNp0aJF+Y6zc+dOHTp0SL17986z7b777tOyZcuUnJxsbVu4cKHuu+++PLF//fWXBg0aJD8/PwUEBKhfv346evSodfv27dvVtWtXBQYGytfXVx06dNDOnTttxjAMQ++++65uu+02eXh4qHbt2vriiy9sYrp3767z589r/fr1+R5PaaAIBQAAAAAAykRiYqI+/PBD1apVSwEBAdZ2b29vLVq0SAcOHNBrr72md955J8+lYocOHdInn3yizz//XLt37y72Pt3d3SXlP3vKNE3deuutio2N1fr167V69WodPnxYgwYNkiQNGjRI48ePV8OGDa2zubK35fbTTz+pTp068vHxybOtZcuWioiI0Oeffy5JOn78uH766Sfdc889NnGXLl1Sp06d5OXlpZ9++kk///yzvLy81KNHD6WlpUmSLl68qPvuu08bNmzQli1bVLt2bfXq1UsXL160GWvatGkaOHCg9uzZo169emnIkCGKjY21bndxcVHTpk21YcOG4r6UJcbd8QAAAAAAwBXz1VdfWS87S0pKUmhoqL766is5OPwzT+a///2v9fsaNWpo/Pjx+vjjj/XEE09Y29PS0rR48WIFBQUVe9/nz5/XtGnT5O3treuvvz7P9jVr1mjPnj06cuSIwsPDJUmLFy9Ww4YNtX37drVu3VpeXl5ycnJSSEhIofs6evSowsLCCtx+//33a+HChbr77rv13nvvqVevXnmOZdmyZXJwcNC7774rwzAkSe+9954qVaqkdevWqVu3brrlllts+sybN09+fn5av369zWWOQ4cO1V133SVJmjFjhl5//XVt27ZNPXr0sMZUqVLFZpZVaWMmFAAAAAAAuGI6deqk3bt3a/fu3dq6dau6deumnj176tixY9aYzz77TO3bt1dISIi8vLw0efJkRUdH24xTvXr1YhegqlatKi8vLwUGBioqKkqffvqpgoOD88RFRUUpPDzcWoCSpAYNGqhSpUqKiooq0XEmJyfLzc2twO133323Nm/erD///FOLFi3SsGHD8sTs2LFDhw4dkre3t7y8vOTl5SV/f3+lpKTo8OHDkqQzZ87o4YcfVp06deTr6ytfX18lJibmeb2aNGli/d7T01Pe3t46c+aMTYy7u7suXbpUouMsCWZCAQAAAACAK8bT01O1atWyPm/ZsqV8fX31zjvvaPr06dqyZYvuvPNOTZs2Td27d5evr6+WLVuml19+Oc84xbVhwwb5+PgoKCgo38vjspmmaZ1xVJz2wgQGBmrv3r0Fbg8ICFBkZKSGDx+ulJQU9ezZM88ldBaLRS1bttSHH36Yp392AW7o0KE6e/asXn31VVWvXl2urq5q06aN9XK9bM7OzjbPDcOQxWKxaYuNjdV1111XouMsCYpQAAAAAACgzBiGIQcHB+si3Rs3blT16tX19NNPW2NyzpK6HBEREapUqVKRcQ0aNFB0dLSOHz9unQ114MABxcfHq379+pKy1k4qzh3kmjdvrrfeeqvQAtawYcPUq1cvTZw4UY6Ojnm2t2jRQh9//LGCg4MLLJ5t2LBBb775pnr16iUpa32pc+fOFZlffvbt26fbb7/9svoWB5fjAQAAAACAKyY1NVWnTp3SqVOnFBUVpdGjRysxMVF9+vSRJNWqVUvR0dFatmyZDh8+rDlz5mjFihVXJLcuXbqoSZMmGjJkiHbu3Klt27bp3nvvVYcOHdSqVStJWWtUHTlyRLt379a5c+eUmpqa71idOnVSUlKS9u/fX+D+evToobNnz+qZZ57Jd/uQIUMUGBiofv36acOGDTpy5IjWr1+vxx57TCdOnJCU9XotXrxYUVFR2rp1q4YMGWJdfL0kjh49qr/++ktdunQpcd/ioggFAAAAAACumFWrVik0NFShoaG64YYbtH37dn366afq2LGjJKlfv356/PHH9eijj6pZs2batGmTJk+efEVyMwxDK1eulJ+fn26++WZ16dJFNWvW1Mcff2yNGTBggHr06KFOnTopKChIS5cuzXesgIAA9e/fP99L6XLuLzAwUC4uLvlu9/Dw0E8//aRq1aqpf//+ql+/voYNG6bk5GTrzKiFCxcqLi5OzZs31z333KMxY8bku95VUZYuXapu3bqpevXqJe5bXIZpmqbdRi9HEhIS5Ovrq/j4+EKvHwUAAAAAoDQU9jk0JSVFR44cUURERKGLX+exa4WUWIJLtbwCpea3FT8eNvbu3asuXbpYFxe/WqWmpqp27dpaunSp2rVrV+L+xX0/siYUAAAAAAAVgWm5vIKSaZEMLqS6HI0bN9asWbN09OhRNW7cuKzTKdCxY8f09NNPX1YBqiQoQgEAAAAAUBFcbiGJAtS/ct9995V1CkWqU6eO6tSpY/f98E4CAAAAAACA3VGEAgAAAAAAgN1RhAIAAAAAAIDdUYQCAAAAAACA3VGEAgAAAAAAgN1RhAIAAAAAoAKLiYnR1KlTFRMTU9apoJyjCAUAAAAAQAUWExOjadOmUYSC3VGEAgAAAAAAuMocPHhQISEhunjxYpnm0bp1ay1fvrxUxqIIBQAAAAAAroihQ4fKMIw8jx49epRpXuvWrbPJx93dXQ0bNtT8+fPLLKenn35ao0aNkre3t7Vt3rx5atq0qTw9PVWpUiU1b95cM2fOtG6fOnVqvq9vvXr1rDEdO3aUYRh64YUX8uyzV69eMgxDU6dOtbZNnjxZkyZNksVi+dfHRBEKAAAAAABcMT169FBMTIzNY+nSpQXGp6enF6utOIrqd/DgQcXExOjAgQMaMWKEHnnkEf3www+Xta/i7jM/J06c0BdffKH777/f2rZgwQKNGzdOY8aM0a+//qqNGzfqiSeeUGJiok3fhg0b5nl9f/75Z5uY8PBwvffeezZtJ0+e1Nq1axUaGmrT3rt3b8XHx+u7774r8XHkRhEKAAAAAIBrnGmaSkpKuqxHcnKyJCk5Ofmy+pumWaJcXV1dFRISYvPw8/OzbjcMQ2+//bb69esnT09PTZ8+XVOnTlWzZs20cOFC1axZU66urjJNU9HR0erXr5+8vLzk4+OjgQMH6vTp09axCupXkODgYIWEhCgiIkJjxoxRjRo1tHPnTuv2VatWqX379qpUqZICAgIUGRmpw4cPW7cfPXpUhmHok08+UceOHeXm5qYlS5bo2LFj6tOnj/z8/OTp6amGDRvqm2++KTCPTz75RE2bNlXVqlWtbV9++aUGDhyo4cOHq1atWmrYsKHuuusuPfvsszZ9nZyc8ry+gYGBNjGRkZE6f/68Nm7caG1btGiRunXrpuDgYJtYR0dH9erVq9BCYXFRhAIAAAAA4Bp36dIleXl5Xdajffv2kqT27dtfVv9Lly6V+vFMmTJF/fr10969ezVs2DBJ0qFDh/TJJ5/o888/1+7duyVJt956q2JjY7V+/XqtXr1ahw8f1qBBg2zGyq9fUUzT1KpVq3T8+HHdcMMN1vakpCSNGzdO27dv1w8//CAHBwfddttteS5VmzhxosaMGaOoqCh1795do0aNUmpqqn766Sft3btXM2fOlJeXV4H7/+mnn9SqVSubtpCQEG3ZskXHjh0r1jEUxsXFRUOGDLGZDbVo0SLra53b9ddfrw0bNvzr/Tr96xEAAAAAAACK6auvvspTgJk4caImT55sfT548OA8BZG0tDQtXrxYQUFBkqTVq1drz549OnLkiMLDwyVJixcvVsOGDbV9+3a1bt06336FyZ55lJqaKovFomeeeUY333yzdfuAAQNs4hcsWKDg4GAdOHBAjRo1sraPHTtW/fv3tz6Pjo7WgAED1LhxY0lSzZo1C83j6NGjatmypU3blClT1L9/f9WoUUN16tRRmzZt1KtXL91+++1ycPhnjtHevXvzvL533nmn3n33XZu24cOHq3379nrttde0Y8cOxcfHq3fv3jbrQWWrUqWKoqOjZbFYbPZVUhShAAAAAAC4xnl4eORZG6i4du/erfbt2+vnn39Ws2bNLmvfJdGpUye99dZbNm3+/v42z3PPApKk6tWr2xSSoqKiFB4ebi1ASVKDBg1UqVIlRUVFWYtQufsVZsOGDfL29lZqaqq2bdumRx99VP7+/nrkkUckSYcPH9bkyZO1ZcsWnTt3zjoDKjo62qYIlTv/MWPG6JFHHtH333+vLl26aMCAAWrSpEmBeSQnJ8vNzc2mLTQ0VJs3b9a+ffu0fv16bdq0Sffdd5/effddrVq1ylocqlu3rr744gubvjkXN8/WpEkT1a5dW5999pl+/PFH3XPPPXJ2ds43H3d3d1ksFqWmpsrd3b3AvItCEQoAAAAAgGucYRjy9PS8rL7ZRQV3d/fLHqMkPD09VatWrSJjimozTVOGYeSJy91ekmOKiIhQpUqVJGUt8L1161Y999xz1iJUnz59FB4ernfeeUdhYWGyWCxq1KiR0tLSCs31gQceUPfu3fX111/r+++/1/PPP6+XX35Zo0ePzjePwMBAxcXF5butUaNGatSokUaNGqWff/5ZN910k9avX69OnTp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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T-test between NF1(WT/WT) and NF1(NF1-KO/WT):\n",
      "T-statistic: 1.103832884211848\n",
      "P-value: 0.2741473771371957\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_labeled:\n",
      "T-statistic: 0.8501058096068904\n",
      "P-value: 0.40104437575972895\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_NOT_labeled:\n",
      "T-statistic: 0.3465004062327038\n",
      "P-value: 0.731041245369425\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T-test between NF1(WT/WT) and NF1(NF1-KO/WT):\n",
      "T-statistic: 1.4298273084303363\n",
      "P-value: 0.15938074045741\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_labeled:\n",
      "T-statistic: -0.13201208807438478\n",
      "P-value: 0.8960752327813287\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_NOT_labeled:\n",
      "T-statistic: 0.4846667952941716\n",
      "P-value: 0.6323068303692563\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot peak spot size \n",
    "show_plots('peak spot size', 'peak_size_OFF', 'peak_size_ON' )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T-test between NF1(WT/WT) and NF1(NF1-KO/WT):\n",
      "T-statistic: -0.19923139970208972\n",
      "P-value: 0.8425632088686891\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_labeled:\n",
      "T-statistic: -2.7385293669786486\n",
      "P-value: 0.008528517768544356\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_NOT_labeled:\n",
      "T-statistic: -0.054267257424598425\n",
      "P-value: 0.956973588725853\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T-test between NF1(WT/WT) and NF1(NF1-KO/WT):\n",
      "T-statistic: 0.5667831515634415\n",
      "P-value: 0.5730115285423703\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_labeled:\n",
      "T-statistic: 0.2489872971082894\n",
      "P-value: 0.8048259657852816\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_NOT_labeled:\n",
      "T-statistic: -1.918312694077525\n",
      "P-value: 0.06325811916192484\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T-test between NF1(WT/WT) and NF1(NF1-KO/WT):\n",
      "T-statistic: 0.2534330485986627\n",
      "P-value: 0.8010389190710002\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_labeled:\n",
      "T-statistic: 0.22302104685488677\n",
      "P-value: 0.8254063826104582\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_NOT_labeled:\n",
      "T-statistic: -1.339421265919166\n",
      "P-value: 0.19298070758347408\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_plots('Max FR (Hz)', 'peak_FR', 'peak_FR')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T-test between NF1(WT/WT) and NF1(NF1-KO/WT):\n",
      "T-statistic: 1.5536306934838604\n",
      "P-value: 0.12403230393321188\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_labeled:\n",
      "T-statistic: 0.3757831197567254\n",
      "P-value: 0.708667809254847\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_NOT_labeled:\n",
      "T-statistic: 0.4944811425967704\n",
      "P-value: 0.6234833917215551\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T-test between NF1(WT/WT) and NF1(NF1-KO/WT):\n",
      "T-statistic: 1.9793560546137445\n",
      "P-value: 0.05244805045352343\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_labeled:\n",
      "T-statistic: 3.8010412728097474\n",
      "P-value: 0.0005528328137524813\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_NOT_labeled:\n",
      "T-statistic: 0.9892283340919031\n",
      "P-value: 0.32934129191633843\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T-test between NF1(WT/WT) and NF1(NF1-KO/WT):\n",
      "T-statistic: 1.137923052580755\n",
      "P-value: 0.2609202493510824\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_labeled:\n",
      "T-statistic: 2.9288514772318837\n",
      "P-value: 0.007344025651423853\n",
      "\n",
      "\n",
      "T-test between NF1(WT/WT) and NF1_KO_NOT_labeled:\n",
      "T-statistic: 2.857195786763478\n",
      "P-value: 0.008689958741726284\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_plots('Baseline FR (Hz)', 'baseline_FR', 'baseline_FR')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}