{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "from glob import glob\n",
    "from tifffile import imread, imwrite\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read all tables for each cell with its time records."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read all tables from the folder\n",
    "from pathlib import Path\n",
    "\n",
    "rootdir = Path('tables/HEK_ctrl_results')\n",
    "ctrl = [f for f in rootdir.glob('**/*.csv') if f.is_file()]\n",
    "\n",
    "rootdir = Path('tables/HEK_F_results')\n",
    "f = [f for f in rootdir.glob('**/*.csv') if f.is_file()]\n",
    "\n",
    "rootdir = Path('tables/HEK_JF_results')\n",
    "jf = [f for f in rootdir.glob('**/*.csv') if f.is_file()]\n",
    "\n",
    "# rootdir = Path('tables/JUNO_FCRL_0h_7_results')\n",
    "# juno = [f for f in rootdir.glob('**/*.csv') if f.is_file()]\n",
    "\n",
    "data = [ctrl, f, jf]\n",
    "len(ctrl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# open each table and create a dataframe\n",
    "dfs_data = []\n",
    "for d in data:\n",
    "    dfs = [pd.read_csv(table) for table in d]\n",
    "    dfs_data.append(dfs)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create rolling avarage to smooth statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "29"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# # create new column with 7 time units average\n",
    "for data in dfs_data:\n",
    "    for df in data:\n",
    "        df['avg_7'] = df.angle.rolling(7).mean().shift(-3)\n",
    "\n",
    "len(dfs_data[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Line plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/Users/septentrionalem/python/miniconda3/envs/m1/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n",
      "/var/folders/gw/9m0zb5rx7vv69h7z1804vcc00000gn/T/ipykernel_29428/2556706813.py:10: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n",
      "  fig.show()\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1440x1440 with 26 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# for each table, create a plot using seaborn ploting the angle column against the time \n",
    "# create figure 4 by 4\n",
    "fig, axes = plt.subplots(nrows=13, ncols=2, figsize=(20, 20))\n",
    "\n",
    "for i, df in enumerate(dfs_data[2]):\n",
    "    sns.lineplot(df['time'], df['avg_7'], ax=axes[i//2, i%2], label=f'sperm cell {i+1} avg 7')\n",
    "    # set y axis range\n",
    "    axes[i//2, i%2].set_ylim(0, 180)\n",
    "\n",
    "fig.show() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Single line plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_dfs = []\n",
    "dfs = dfs_data[2]\n",
    "for df in dfs:\n",
    "    # df['avg_7'] = df.angle.rolling(7).mean().shift(-3)\n",
    "    value = df['avg_7'].values[3]\n",
    "    df['avg_7'] = df['avg_7'] - value\n",
    "    new_dfs.append(df)\n",
    "\n",
    "sampled_dfs = np.random.choice(new_dfs, 20, replace=False)\n",
    "len(sampled_dfs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "for i, df in enumerate(sampled_dfs):\n",
    "    sns.lineplot(df['time'], df['avg_7'], ax=ax)\n",
    "    ax.set_title(r'HEK F+J with $\\theta_{t_{1}}=0$')\n",
    "    ax.set_ylim(-180, 180)\n",
    "    ax.set_xlim(0, 120)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Box plots with mean values of angle change"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_angle_changes = []\n",
    "for i in range(len(dfs_data)):\n",
    "    mean_angle_change = [d['angle_change'].mean() for d in dfs_data[i]]\n",
    "    mean_angle_changes.append(mean_angle_change)\n",
    "len(mean_angle_changes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20\n",
      "20\n",
      "20\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>64.32479760943738</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.474452829992926</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6.543476898844801</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.3507822870844088</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12.917004868602053</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3.7416448071439965</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2.7227389134911926</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4.062880425043048</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>24.778353151688844</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.396585294028035</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2.839140525282182</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>18.098901132599245</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.868713729082051</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.812228704287389</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4.7697056391779675</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1.3428178404820843</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2.605297575701117</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5.702873073248978</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2.4468352125958726</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>18.493310472795287</td>\n",
       "      <td>HEK ctrl</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>39.677474806770746</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1.2303115916963774</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>3.1913888816749822</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3.9144947976491085</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4.464199884859249</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5.3573554633798</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2.4469223720395035</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>7.874564790849997</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>3.802624643384896</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2.4120147587241596</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1.746585497357508</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>9.648209610798332</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2.0155927784348564</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>44.10802932123978</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>6.786353067438394</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2.6507654304506696</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2.247010874850919</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2.2246405901376343</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>12.44098243935755</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>3.6841044684651916</td>\n",
       "      <td>HEK F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>3.6000399062128237</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>11.843934192554968</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>38.31041046730401</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>3.905553713218626</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>4.066012725674801</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>1.828069301983465</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>6.5340036040810885</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>17.003309693714474</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>9.504710453045398</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2.349192823016523</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>14.230834710365178</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>6.634055028239677</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>3.7810011327204873</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>29.20011424515878</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>28.729169913380932</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>7.80938750683195</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>4.551428371731199</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>1.1959389179365791</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2.9925110424600296</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>7.283587581981472</td>\n",
       "      <td>HEK F+J</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  mean      name\n",
       "0    64.32479760943738  HEK ctrl\n",
       "1    3.474452829992926  HEK ctrl\n",
       "2    6.543476898844801  HEK ctrl\n",
       "3   1.3507822870844088  HEK ctrl\n",
       "4   12.917004868602053  HEK ctrl\n",
       "5   3.7416448071439965  HEK ctrl\n",
       "6   2.7227389134911926  HEK ctrl\n",
       "7    4.062880425043048  HEK ctrl\n",
       "8   24.778353151688844  HEK ctrl\n",
       "9    4.396585294028035  HEK ctrl\n",
       "10   2.839140525282182  HEK ctrl\n",
       "11  18.098901132599245  HEK ctrl\n",
       "12   0.868713729082051  HEK ctrl\n",
       "13   4.812228704287389  HEK ctrl\n",
       "14  4.7697056391779675  HEK ctrl\n",
       "15  1.3428178404820843  HEK ctrl\n",
       "16   2.605297575701117  HEK ctrl\n",
       "17   5.702873073248978  HEK ctrl\n",
       "18  2.4468352125958726  HEK ctrl\n",
       "19  18.493310472795287  HEK ctrl\n",
       "20  39.677474806770746     HEK F\n",
       "21  1.2303115916963774     HEK F\n",
       "22  3.1913888816749822     HEK F\n",
       "23  3.9144947976491085     HEK F\n",
       "24   4.464199884859249     HEK F\n",
       "25     5.3573554633798     HEK F\n",
       "26  2.4469223720395035     HEK F\n",
       "27   7.874564790849997     HEK F\n",
       "28   3.802624643384896     HEK F\n",
       "29  2.4120147587241596     HEK F\n",
       "30   1.746585497357508     HEK F\n",
       "31   9.648209610798332     HEK F\n",
       "32  2.0155927784348564     HEK F\n",
       "33   44.10802932123978     HEK F\n",
       "34   6.786353067438394     HEK F\n",
       "35  2.6507654304506696     HEK F\n",
       "36   2.247010874850919     HEK F\n",
       "37  2.2246405901376343     HEK F\n",
       "38   12.44098243935755     HEK F\n",
       "39  3.6841044684651916     HEK F\n",
       "40  3.6000399062128237   HEK F+J\n",
       "41  11.843934192554968   HEK F+J\n",
       "42   38.31041046730401   HEK F+J\n",
       "43   3.905553713218626   HEK F+J\n",
       "44   4.066012725674801   HEK F+J\n",
       "45   1.828069301983465   HEK F+J\n",
       "46  6.5340036040810885   HEK F+J\n",
       "47  17.003309693714474   HEK F+J\n",
       "48   9.504710453045398   HEK F+J\n",
       "49   2.349192823016523   HEK F+J\n",
       "50  14.230834710365178   HEK F+J\n",
       "51   6.634055028239677   HEK F+J\n",
       "52  3.7810011327204873   HEK F+J\n",
       "53   29.20011424515878   HEK F+J\n",
       "54  28.729169913380932   HEK F+J\n",
       "55    7.80938750683195   HEK F+J\n",
       "56   4.551428371731199   HEK F+J\n",
       "57  1.1959389179365791   HEK F+J\n",
       "58  2.9925110424600296   HEK F+J\n",
       "59   7.283587581981472   HEK F+J"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mac_sample = []\n",
    "names = []\n",
    "for (arr, name) in zip(mean_angle_changes, ['HEK ctrl', 'HEK F', 'HEK F+J']):\n",
    "    sampled_arr = np.random.choice(arr, 20, replace=False)\n",
    "    name = [name] * len(sampled_arr)\n",
    "    names.extend(name)\n",
    "    print(len(sampled_arr))\n",
    "    mac_sample.extend(sampled_arr)\n",
    "data = np.column_stack((mac_sample,names))\n",
    "df = pd.DataFrame(data, columns=['mean', 'name'])\n",
    "df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX4AAAEGCAYAAABiq/5QAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8/fFQqAAAACXBIWXMAAAsTAAALEwEAmpwYAAAr60lEQVR4nO3deXxU9b3/8ddnkskeAmQhYU2Q1SKSEquARUWtWvViW/Cn1mqpy/09ut1ie61dLNdbbG399XaztMWWW7XWuq9Xil5EBFRKQBZZZE2A7AtkTybJfH5/zBAISWCCOXMS5vN8PPKYOSdnZj7DCe858z3f8/2KqmKMMSZyeNwuwBhjTHhZ8BtjTISx4DfGmAhjwW+MMRHGgt8YYyJMtNsFhCItLU2zs7PdLsMYYwaUjRs3Vqpq+snrB0TwZ2dnk5+f73YZxhgzoIhIYXfrranHGGMijAW/McZEGAt+Y4yJMBb8xhgTYSz4jTEmwljwG2Mi0t69eykoKHC7DFcMiO6cxhjTV1paWvjud7/Lli1bAPj0pz/NokWLiIqKcrmy8LEjfmNMRFmxYkVH6AOsWbOG9evXu1hR+FnwG2MiSkVFRZd15eXlLlTiHgt+Y0xEueSSSzo168TFxTFz5kwXKwo/a+M3xkSUcePG8fDDD/Piiy/i9Xq58cYbycjIcLussLLgN8ZEnNzcXHJzc90uwzXW1GOMMRHGgt8YYyKMBb8xxkQYC35jjIkwFvzGGBNhLPiNMSbCWPAbY0yEcTT4RWSwiDwnIrtEZKeIzBCRoSLypojsCd4OcbIGY4wxnTl9xP9r4B+qOgk4H9gJ3AesVNXxwMrgsjHGmDBxLPhFZBAwG/gzgKr6VPUoMBd4LLjZY8ANTtVgjDGmKyeP+McCFcB/i8gHIvInEUkEhqlqCUDwtttBMkTkbhHJF5H87kbTM8YYc2acDP5o4JPA71U1F2igF806qrpUVfNUNS89Pd2pGo0xJuI4GfyHgcOqemyGg+cIfBCUiUgWQPA2sgbCNsYYlzkW/KpaChwSkYnBVZcDO4BXgNuD624HXnaqBmOMMV05PSzzN4AnRSQG2A8sIPBh84yI3AEcBOY7XIMxxpgTOBr8qroZyOvmV5c7+brGGGN6ZlfuGmNMhLHgN8aYCGPBb4wxEcaC3xhjIowFvzHGRBgLfmOMiTAW/MYYE2Es+I0xJsJY8BtjTISx4DfGmAhjwW+MMRHGgt8YYyKMBb8xxkQYC35jjIkwFvzGGBNhLPiNMSbCWPAbY0yEseA3xpgIY8FvjDERxoLfGGMijAW/McZEGAt+Y4yJMNFOPrmIFAB1QDvQpqp5IjIUeBrIBgqAG1X1iJN1GGOMOS4cR/yXqeo0Vc0LLt8HrFTV8cDK4LIxxpgwcaOpZy7wWPD+Y8ANLtRgjDERy+ngV+ANEdkoIncH1w1T1RKA4G1Gdw8UkbtFJF9E8isqKhwu0xhjIoejbfzALFUtFpEM4E0R2RXqA1V1KbAUIC8vT50q0BhjIo2jR/yqWhy8LQdeBD4FlIlIFkDwttzJGowxxnTmWPCLSKKIJB+7D3wG+BB4Bbg9uNntwMtO1WCMMaYrJ5t6hgEvisix1/mbqv5DRDYAz4jIHcBBYL6DNRhjjDmJY8GvqvuB87tZXwVc7tTrGmOMOTW7ctcYYyKMBb8xxkQYC35jjIkwFvzGGBNhLPiNMSbCWPAbY0yEseA3xpgIY8FvjDERxoLfGGMijAW/i1pbW9myZQvFxcVul2KMiSBOD8tselBcXMw999xDWVkZIsItt9zCnXfe6XZZxpgIYEf8LnnyyScpKysDQFV56qmnOpaNMcZJFvwuqays7LTs9/uprq52qRpjTCSx4HfJFVdc0Wl51KhRTJw40aVqjDGRxNr4XXLllVcSFRXFW2+9RUZGBjfffDMej30OG2OcZ8Hvojlz5jBnzhy3yzDGRBg7xDTGmAgTUvCLyBgRuSJ4P/7YXLrGGGMGntMGv4jcBTwH/DG4aiTwkoM1GWOMcVAoR/xfA2YBtQCqugfIcLIoY4wxzgkl+FtU1XdsQUSiAXWuJGOMMU4KJfhXi8j3gXgRuRJ4FnjV2bKMMcY4JZTgvw+oALYB/wq8Dvww1BcQkSgR+UBEXgsuDxWRN0VkT/B2yJkUbowx5sycNvhV1a+qj6rqfFWdF7zfm6aefwN2nrB8H7BSVccDK4PLEam4uJhnn32W1atX097e7nY5xpgIcdoLuERkG13b9GuAfGCxqlad4rEjgWuBB4F7gqvnApcG7z8GvA18tzdFnw22b9/OPffcg88XOH0ya9YsFi9e7HJVxphIEMqVu8uBduBvweWbgre1wF+A60/x2F8B9wIn9vsfpqolAKpaIiLd9hASkbuBuwFGjx4dQpkDy7PPPtsR+gDr1q2joKCA7Oxs94oyxkSEUIJ/lqrOOmF5m4isU9VZInJrTw8SkeuAclXdKCKX9rYwVV0KLAXIy8s763oR+f3+kNYZY0xfC+XkbpKIXHhsQUQ+BSQFF9tO8bhZwL+ISAHwd2COiPwVKBORrOBzZQHlZ1L4QPf5z3+e6Ojjn7t5eXmMHTvWxYpMb9XW1rJ79247P2MGHDndeVoRuQBYRiDshUATz53AduBaVX3mtC8SOOL/jqpeJyIPA1Wq+pCI3AcMVdV7T/X4vLw8zc/PD+HtDCwFBQW88847ZGRkMGfOHGJiYtwuyYRo+fLl/OpXv8Ln8zFs2DAeeugha6Yz/Y6IbFTVvC7rQ+2gIyIpwe2PnsGLX8rx4E8FngFGAweB+ap6yhlIztbgNwNTU1MT8+bNo7GxsWOdnZw3/VFPwR9Kr55Y4AtANhAtIgCo6n+G+uKq+jaB3jsEewFdHupjjelvamtrO4U+QElJiUvVGNN7obTxv0ygC2Yb0HDCjzERadiwYUyaNKnTutmzZ7tUjTG9F0qvnpGqerXjlRgzgCxevJjHHnuMwsJCLrroIm688Ua3SzImZKEE/7sicp6qbnO8GmMGiNTUVO65557Tb2hMPxRK8F8MfFlEDgAtBHr2qKpOdbQyY4wxjggl+K9xvApjjDFhc9rgV9VCgODQCnGOV2SMMcZRoUy9+C8isgc4AKwGCgiM32OMMWYACqU754+Bi4DdqppDoA/+OkerMsYY45hQgr81eNGVR0Q8qroKmOZsWcYYY5wSysndoyKSBLwDPCki5Zx6cDZjjDH9WChH/HOBJmAh8A9gH6ceg98YY0w/FkqvnhOHZ3jMwVqMMcaEQSi9ej4fnBi9RkRqRaRORGrDUZwxxpi+F0ob/8+B61V152m3NMYY0++F0sZfZqFvjDFnjx6P+EXk88G7+SLyNPASgbF6AFDVF5wtzRhjjBNO1dRzYs+dRuAzJywrYMFvjDEDUI/Br6oLwlmIMcaY8OixjV9Efi4i/7eb9QtF5GfOlmWMMcYppzq5ex2wtJv1vwaudaYcY4wxTjtV8Kuq+rtZ6ScwGYsxxpgB6FTB3ygi409eGVzX5FxJxhhjnHSq4P8RsFxEviwi5wV/FgD/E/zdKYlInIj8U0S2iMh2EXkguH6oiLwZvBr4TREZ0jdvxRhjTCh6DH5VXQ7cAFwG/CX4cynwBVV9PYTnbgHmqOr5BIZxvlpELgLuA1aq6nhgZXDZGGNMmJxyyAZV/RC4HUBEklS1PtQnVlUFjm3vDf4ogdE+Lw2ufwx4G/hub4o2xhhz5kIZpG2GiOwAdgSXzxeRJaE8uYhEichmoBx4U1XXA8NUtQQgeJvRw2PvFpF8EcmvqKgI7d0Y44Di4mIeeOAB7rzzTpYtW0Z7e7vbJRnzsYQySNuvgKuAVwBUdYuIzA7lyVW1HZgmIoOBF0VkSqiFqepSgt1J8/LyNNTHGdOXVJXvf//7FBYWArBv3z5EhAULFrB3714KCwvJzc1l6NChLldqTOhCCX5U9ZBIpx6cvTrkUdWjIvI2cDVQJiJZqloiIlkEvg0Y0y8VFRV1hP4x7733HgCPP/44ALGxsfzsZz/j/PPPD3t9xpyJUEbnPCQiMwEVkRgR+Q5w2tE6RSQ9eKSPiMQDVwC7CHxzuD242e3Ay2dSuDHhkJqaSmJiYqd1WVlZPPXUUx3LLS0tHR8CxgwEoQT//wW+BowADhPoofO1EB6XBawSka3ABgJt/K8BDwFXisge4MrgsjH9Unx8PAsXLuwI/5ycHG666SZaW1s7bVdfH3K/B2NcF8rUi5XAF3v7xKq6FcjtZn0VcHlvn88Yt1x++eXMmjWL6upqhg8fDsDMmTN59913O7a57rrr3CrPmF6TQK/Lbn4h8lsC3S+7parfdKqok+Xl5Wl+fn64Xs6Y02pububVV1+lsLCQGTNmMGvWLLdLMqYLEdmoqnknrz/VEb8lrTE9iIuLY/78+W6XYcwZOdV4/I+FsxBjjDHhcdo2fhF5la5NPjUEvhH8UVWbnSjMGGOMM0Lp1bOfwNALjwZ/aoEyYEJw2RhjzAASygVcuap64pW6r4rIO6o6W0S2O1WYMcYYZ4RyxJ8uIqOPLQTvpwUXfY5UZYwxxjGhHPF/G1grIvsIzLyVA3xVRBIJjK5pjDEDjs/nw+PxEB0d0sg1Z5VQLuB6PTjr1iQCwb/rhBO6v3KwNmOM6XOqypIlS3j55ZeJjo7m5ptv5ktf+pLbZYVVKE09ANOBTwBTgRtF5DbnSjLGGOesXr2a5557jtbWVpqamli2bBnbtm1zu6ywCqU75xPAOcBmjo/KqYCNSmWMGXB2797d7brzzjvPhWrcEUrjVh5wrvY0toMxxgwgubm5nUZXFRGmTZvmXkEuCKWp50Mg0+lCjDEmHC644AK+8Y1vkJWVxejRo/ne977HOeec43ZZYdXjIG0dG4isIjAU8z8JTKAOgSl15zpb2nE2SJsxxvTemQzSdsx/nPg8wMXAzX1UlzHGmDA7bVOPqq4mMDbPtcBfCIyl/wdnyzLGGOOUHo/4RWQCcBOBo/sq4GkCTUOXhak2Y4wxDjhVU88uYA1wvaruBRCRhWGpyhhjjGNO1dTzBaCUwLy5j4rI5QTa+I0xxgxgPQa/qr6oqv+HwFANbwMLgWEi8nsR+UyY6jPGGNPHQjm526CqT6rqdcBIAlfw3ud0YcYYY5wR6lg9AKhqtar+UVXnOFWQMcYYZ/Uq+HtDREaJyCoR2Ski20Xk34Lrh4rImyKyJ3g7xKkajDHGdOVY8ANtwLdVdTJwEfA1ETmXQDPRSlUdD6zEmo2MMSasHAt+VS1R1U3B+3XATmAEMJfjE7g8BtzgVA3GGGO6cvKIv4OIZAO5wHpgmKqWQODDAcjo4TF3i0i+iORXVFSEo0xjjIkIjge/iCQBzwPfUtXaUB+nqktVNU9V89LT050r0BhjIoyjk02KiJdA6D+pqi8EV5eJSJaqlohIFlDuZA3GmMhWWVnJ22+/TVJSEpdddhmxsbFul+Q6x4JfRAT4M7BTVf/rhF+9AtwOPBS8fdmpGowxke3QoUN89atfpb6+HoCXXnqJ3/3ud0RFRbFnzx6io6PJyclxucrwc/KIfxbwJWCbiGwOrvs+gcB/RkTuAA4C8x2swRgTwV555ZWO0Af46KOPeP/993n22WfZsmULAJ/+9KdZtGgRUVFRbpUZdo4Fv6qupeexfS536nWNMeaY7iaays/P7wh9gDVr1rB+/XpmzpwZztJcFZZePcYY44brr7+ehISEjuVx48Z1Wj6mvDyyTjU6enLXmLNVSUkJS5cu5eDBg1x00UV8+ctfxuv1ul2WOcmYMWP485//zKpVq0hKSuKKK66gqKiIp59+mvb2dgDi4uKYNWuWy5WG12nn3O0PbM5d09985Stf4cCBAx3Lt9xyC3fddZeLFZne+OCDD3jxxRfxer3ceOONTJw40e2SHPFx5tw1ZkB7/PHHKSws7LPna2pq6hT6AC+//DKlpaV99hoQOFq97bbb+vQ5TUBubi65ublul+Eaa+M3ppdiYmKIju58zJSYmOhSNcb0nh3xm7OeE0fNq1evZvHixbS1tZGdnc2DDz7I8OHD+/x1jHGCBb8xZ+CSSy5h1apV+Hw+fvKTn7hdjjG9Yk09xpyhqKgo4uPj3S7DmF6z4DfGmAhjTT3GnKHW1laam5tpb2+PqMv9zcBnR/zGnIEVK1awbt06NmzYwK233srBgwfdLsmYkFnwG9NLzc3N/Pa3v8Xv9wNQWlrKo48+6nJVxoTOgt+YXjp69CgNDQ2d1hUXF7tUjTG9Z8FvTC9lZmYyYcKETutmz57tUjXmTNXX19PY2Oh2Ga6w4DfmDDz44INkZWWRkpLCXXfdxa233up2SSZE7e3tPPzww8ydO5cbbriBP/7xj26XFHbWq8dFmzZtYtWqVQwbNoy5c+eSnJzsdkkmRGlpaUyePBkIDNBmnNPXYy2VlpayY8cOAPx+P3//+9/56KOPGDJkSJ+9Rn8fZ8mC3yXr1q3jhz/8YcfymjVr+MMf/kBgxkpjjFNOPj8DgWafvgz+/s6GZQ5BXx9xAGzZsoWqqqpO6/Ly8hg0aFCfvUZ/P+o4mRP/zk7x+Xxs3boVn8/HyJEjGTVq1ID50B5ofxd9bfPmzSxcuLBj2ePxsGzZMsaMGeNiVc6wYZn7mZNHd+xpXSQpLCzkwO5djEjq/xOabC4oob7ZB8DevXvxHa1gdNpgd4sKQVF9q9sluG7atGnce++9LFmyBBHh3nvvPStD/1QiO2lC5MTR0YEDB/jWt75FbW0tANdeey3f+c53+vx1BpoRSV6+MTXD7TJOqbKhhbW7Tvpm0urr93UD/HZrZE0x2JNrrrmGY60IF198scvVhJ/16nFJTk4OTz75JFOmTGH69OkW+gNIUmw08dGd/+tkJMa6VI0xvWfB76KkpCQyMjJISUlxuxTTC3HRUdw+bTReT6BNPzXey03njXS5KmNC51hTj4gsA64DylV1SnDdUOBpIBsoAG5U1SNO1WCMUy4bm07eiCGUN7QwZnA80R47hjIDh5N/rX8Brj5p3X3ASlUdD6wMLhszICXHRnPO0EQLfTPgOPYXq6rvANUnrZ4LPBa8/xhwg1Ov39+1tbXxu9/9jrVr15Kfn8+2bdvcLsn0gqqysfgoL+8q4eDRyLzs3wxc4T5UGaaqJQDB2x67QYjI3SKSLyL5FRUVYSswXJ5++mmee+45fD4ftbW1/OAHP6C5udntskyIHt1YyM/X7uFvWw/z3Te3s6HIWizNwNFvv6Oq6lJVzVPVvPT0dLfL6XMffPBBp+W6ujr27NnjUjWmN2pbWnnrwPGDEb/Cqx+VuliRMb0T7uAvE5EsgOBtxHYqHj9+fKfl2NjYiLuIZMDq5mL3gXAFvDHHhDv4XwFuD96/HXg5zK/fb9x6663MmjULgJiYGO67774+Ha7BOGdQnJdLxqR1LAtw3cRM9woyppec7M75FHApkCYih4FFwEPAMyJyB3AQmO/U6/d3iYmJLF68mEWLFlFTU0NzczM1NTXWp7+faG33U1TXTFZSLLHRXefT/de8bHKzUiiqbSY3K4WxQxNdqNKYM+NY8KvqzT386nKnXnMg2rlzJxUVFWzZsoWkpCR+85vfkJOT43ZZEe2jyjp+sW4vNS1tJHqj+OaMc5iW2fkD2eMRLho11KUK+5+BNMDeMcfq/fGPf+xyJb3TF4Ps2Vg9Ltq3bx8n9liqr6/n2Wef5d5773WxKvPfHxykpqUNgIbWdpZtLOQ310497eOqGn28faASgMty0hiaEONonf1JYWEhu/fsI3FQ2uk37ifa2gNXXheV1bhcSegaaiv75Hks+F2iqt1237Qune4rq2/ptFze2ILfr3g8PQ+7fKTJx3ff3E5d8ANjxd4yHr5qCilx/X+k0b6SOCiNqRfd4HYZZ7Wt77/UJ8/Tb7tznq22b9/OggULuOKKK3jiiSdISkrq+J3H4+H66693sToDcOHIzhNyTMtMYfneMp7fXkz5CR8KdS1t7K2up83vZ93B6o7QB6hpaePdgydfv2j6kyOVxdQcKXO7DFecVUf8/b2d0e/3895779HSEgiP9evXk5SURGpqKgkJCQwbNozXXnuN1157zeVKT+1sn8hjQe5oBsVGs6OijrFDEtlcWsMHJYHmgFc/KuEnV5zLrsp6lm0qpNWvpMZ7uSS7axNHTJQdV/VHbW0+1qx4gsrSAgBGjJnMjDk3IRE09MZZFfyFhYXs2rsH79D+OXdtW4uvI/SPaW5pIWVYGp7kBCraGqmo7t+X/7dW1zn23KWlpTTVt/aTMeNjGZYeS2FdY6emn6Y2Pw+vL6Sspp52f6DvflVTK28dPEKcN5rm1sBRf3xMNFtr29nRL97LcUX1rcSXRvbFZoV7t3SEPkBR4U5KDu9m+OhJ7hUVZmdV8AN4hyaT+pkL3S6jW+r3U1FUiq+2vmNdyuQchl09y8WqeqfqjfVulxBW3bXq+1U7Qv8YX1s7uTlZVNU1AkJqcjxREXQEOZA01Xc9mVt7tIIjlcU0NdQy+pypZAwf60Jl4XPWBX9/Jh4PY2+4jINvvEdz1VESh6fj8UZTsWknqeeNx+ON7N2RmZmJz9/Qr2ayavP7uX9lA/uPBL6JpcRGc/+ssfzyvX3srT4+aff14zP4/Ln9/yKu324tJyaz/9fppJE5n2DX1jWo+gGIio7hwO6N1NcE5sA+sHsTF3/mVrJGTXCzTEdFdtK4ICEzjUm3XU9tQRF7n32TusISAI7sOsCEWz7rcnXmZNEeDw/MmcyGoiM0tbbzqZFDGBTr5d8vHs/z24spqmvik1mD+eyEYW6XakI0ODWL2dd8mb073icqKpqMrLHkr33phC2UA7s3WvCbvlexaRecML5L/eEyGsuqSBiW6mJVpjsxUR5mje68XwbHeblj+hh8bX5ioq1JZ6ARQIINedHertdbxMQmdFpurD/KlvX/4OiRUjJHjOe8C64kOnrgXqdhwe8STzfDAHiiu+4OX10jJes+oKW6hpRxo8i4YAoiPfcnN+Gx/0gDv1u/n8O1zYwbmsi/XXQOGUk27+5AcLSqhNXL/9LR1FNUuIuROVM4fOBDAGLjEklIHMSW9f9g+OhJpGdl8+7Kv3OksgiAvTVVqPr55MyB2/Xagt8h7b5WPN7oHkM644Ip1Ow7hD/YC2TIpBziUruO07Pv+TdpKg/0B68/XIa2+8mccb5zhUc4VaVd9bSzaj2yfj9FtYGL7fZWN/CnTQV8f/bEHrffXFLDzoo6zhmayKdOuk7A9J2SQ7upKjtI6rDRPTbVHD6wvSP0AdrbfKRnZjNhykyaG+vY/9FGtm96C4DdH65j+qx/6Qj9E19nILPg72OtDU0ceOVt6g+VEjMokdFXzWJQzghqC4qp3PIRUTFeMi6YQmJWGufe+QVq9x3COyiRQTkjAGhv8VFbWExMchLRcTEdoX/MkY8KLPgdsrqgkie3HKLe187FY4Zy1/RsvFEe/H6lsa2dpJjAf5eWtvaO0D9mf7AbbktbO//YW86hmiZys1KYNTqVVz8q5a9bDnVsO3dSJrdMHRW+NxYGpaWlNNQ19NmVpWeisryEqorijuW0jOGkpmcB0OprobamGo8nqtshtMsP76SxtoRWn4/Sw51DffumlURFe2lva+1YJ6gr77WhtpJSbfrYz2PB38eKVudTfyjQT9pX20DBa6vJnnsZe599o6NN/+ieQj5x1zxikhNIm3b8KLGp8gi7n1pOe1Og33jq1Al4vNEd3woAYgf3z2sUBrqqRh9/3FBAe3AfrS6oYlRKAiOS41iaX8CR5lYmpSWxcMY4Bsd7GTc0sVOvnnMzAvvlN+/vJ7/4KABrCqs42tzK67s795v/x55ybpoy8pRDQJjeO1JV1mU5NT0LX0szhft34vcHjvK93ljiE5Joagx0q45PTKK29gh1dUdJHtT125jHE0XWiDGUFBXQ3tZGTGwcGZkjnX9DDjqrgr+0tJTW+jpX+5rX7T3UabmtqYWSFe91OpHb3uyj6OW38be103C0hmivl8FZGdSUVXaEPkDV1t2kZGVQW1qBqhIV4yXBE+3q+2utrqPU59zzF7l0AVdVXWNH6B+zfF8VNY3NtAUDY1dlPfev3sOE4WkkJCcT39BKS2srQxLjIS6R/9pU0hH6xzy3s5R2v7/TujZVHtlW7sq5mqL6VpwY+zUzM5N2qXF1rJ4D+3biaz5+AaQ3Jp6pF93A1n+u6Ah9gNbWFi6Y/XkSkgbja25k3cqnaGoIfAjU19Uw+pypHNy3FQBPVDQXXDKPjKwc/P52mpvqSUh0b+j0re+/ROawj//6Z1Xw9wdxyYm0Nh8P7+gYL9GxXc/++xqbqKsMzNPqo5mWxia8cXFdtotPTiQ5dQjtPh/e+LjThkV7WxuCdHvyuL9zcwayVJ8PT0lVp4BITsugqqCg03aNfqGoxUPBwTJUldjYWM6dNh2v10t7ezue/cWdniMmPpHMzEx27drVsS47ZyyxI9x5rzm4++/spMnnX8KW9cs7liedfwlAt0MxiMfDkLTh7PnwPdrbjh/J+NvbSE5JZ+YVt1ByaDcjxkwmIyvwUVlZWsi+XRuIjvYyYcpMUoYO3Oshzqrgz8zMpKGasF6521BcTm1hCQkZQ0k5ZxSDfa0cfuuf1Ow7RNzQFEZdcSHe5ET2PL2CprLABSJDJo+ltbEJThhhtb21jYwZEyl5Z2PHuvhhqWTNvaTbsG9rbKbmQBExgxJJHpWJ+v0Uvr6W6h37EI+H9OmTGXnZp/r8/Va9sZ5Mh/7g3R7/57333mPp0qXU1NRw1VVXcccdd3DbbbdRUlLSsc3s2bN5/fXXO5ZbWloYNWoUd911F6WlpYwYMYK//e1vAMTFxbFo0SKmTZvGnj172LJlC5MmTWLKlClhf2+RYMKUmaSmj6S85ADlJQfYumEF+z/awLnTLiUmLqHj20DK0EwaaqvZu2M90d6uo6f629v45+rnaWtt4cBH+Uw6fzYjxpzLO/947ISeQDu5Zt63iI0fmBPwnFXBH25V2/ZQuHxtx3LGp6Yw4pI8YlOSiIqNAQF/axvRcbFMuu16Gksq8MR4iU8bwqE336O+8Hig4BHSpowjIW0wVdv3EZ82hPTpk/G3tlGybjP1h0pJHJ5O1sW5+Gob2PPUctpbAkcqQ6eMI3l0JtU79gGBoSHKN2wn5ZxRJI/OCuu/yUA2Y8YMZsyY0Wndgw8+yJIlSzh06BAzZ85k+vTpnYIf4PDhw/z4xz/mrbcCPUEuvPBCrr76anJzcztmVBs/fnyXeZbPNg21la6e3D2mvOQQR6oDzYW1R8rZ8M4LjB47iYb6WlCoqihmc/CbgccT1am9Py4+kcK9H9DWevxb+64t71BycEennkCtvmb++fZTpAwJ7/wDDbWVYE09XbVWh6+Nv2jn3k7LFRu201pUyZGiwMm8luoa9jy1nBHnTkAEmusbifJG0xgfR2yrn5j4OHxNzSDCkKwMSv5nLVWHSlC/n4bCEjxH6jhaWkFDdWBskcbSSur3HkaipCP0Aao/3IuvpOsEDVVrNuNLP9in77m1ug4G8Ffc3srJyeHhhx9m7dq1bNmyhfr6elJSUqipOT7eS0ZGBs8991zH8vr167nmmmsiahrN/tR8VHywc6+c9vY20ockkDMqg0OHDlFeeryzhN/fzqiRw0lODpycHzRoEJs2berynIMHJVJzpPP/sWHpg0ntpgu2o4al9Mm/9VkV/OH+46uIKqCN4wEsIniaWztt42/3k9Qm7N+/v2NkzhEjRjBx4kQmDBvJnj17iIqKYsyYMaxduxYNtg+3NrfQVlVHS21Dp+drqq0jNTWVk8fwHJE2jI+qjnaqZcKobBISEuhTQzP71X/ycHjiiSdYtmxZx/I111xDY2MjmzdvJisri8GDB3d5zOHDh8NYofvcbqY70SOPPMLzzz/fsZySksKPfvQj4uLieOmll9izZ0+n7T/72c8yd+5cIDAR0v/+7//yi1/8ouP3ubm5LF68mG9/+9sd52pmz57NokWL8AzQgfjOquAP9x/f8uXL+fnPf96xPH/+fLxeL3/961871nk8HkaMGMHOnTs71hUVFfHTn/6Uffv2sW3bNuLi4pg3bx6rV6/u9PyDBg0iJSWF3buPH8EMHz6cr3/96/zgBz/o6I88efJklixZwooVK3jhhRfwer188Ytf7NJsYc7MCy+80Gl51apVvPTSS3zzm9+krq6O5ORkoqKiaG9vByAqKoqZM2e6UaoBFixYQFVVFWvXrmX48OGMGTOGz33uc3i9XubNm0d6enrHlKexsbHMmTMHv9/PI488wquvvkpUVBSXXnop8fHxjBo1ihtuuIH4+HiWLFnCzp07iYuLY+zYgT16p3R3MUN/k5eXp/n5+W6X0a0dO3awadMmxo0bx0UXXURDQwMPPPAAGzZsICEhgbvvvpuNGzeyZs2aTo+77bbbePzxxzuWR40ahYhw8ODBTttceOGF3H///VRXVzNo0CB+9KMfMX36dLZu3crbb79NRkYG119/PYmJA/Mk00Bw0003UVZ2vI/4oEGDmDp1KmvXHj+/M2/ePAqCPYDmz5/Ppz7V9yfWTe+99dZbXSZT/9nPfsb27dt57bXXSEpK4he/+AUffvghDzzwQKftfvnLXzJt2rQwVtv3RGSjquZ1WW/Bf3pnMrOXz+cjKiqKqKgoKioq2LZtW8fvEhISiIuLo7q681W5U6ZMoby8nMbGRtLS0sjOzsbj8eD3+2lsbCQ+Pp6oqNC7aZ7tM2WF6uPOzFZcXNypO2ZOTg4HDhzotE1ycjIXXHDBGb9Gd2z/fXy///3veeaZZzqtW7BgAc888wwNDYFm1NTUVC677LJO52kAvva1rzFv3ryw1eqEnoLflaYeEbka+DUQBfxJVR9yow4nxcQc77ufnp7O1KlTKSsrIzY2llGjRrF///4uj0lOTiYjo+tY9B6Pp9PcvCa8hg8fzqBBgzh69CgpKSnExcVRUFDQ6dL/3nwgm975OB/clZVdOz288cYbHaEPUFVVxfr1XTuEbNiwoVMTbW/09w/tsAe/iEQBvwOuBA4DG0TkFVXdEe5aQuXEDiwqKmLhwoVUVFQgItx8883cddddff46xpn99+ijj3b01/d6vdx///188pOf7PPXMR9PWloa48aN4/Dhw3g8HrKzs/H5ul56npyczMSJEzl06BAiwpgxY87qg62wN/WIyAzgP1T1quDy9wBU9ac9Pcbtph6ntLa28uGHH5KRkcGIESPcLsf00s6dOyksLGT69Omkp6e7XY4JUU1NDV/96lcpLg4M6DZ+/HgeeeSRTt/Szxb9qalnBHDigDaHgf45Sa7DvF4vubm5bpdhztDkyZOZPHmy22WYXkpJSeFPf/oT7777LtHR0cyYMeOsDP1TcSP4uxtspsvXDhG5G7gbYPTo0U7XZIyJIPHx8Vx++eVul+EaN64+OAycOBj5SKD45I1Udamq5qlqnn2NNsaYvuNG8G8AxotIjojEADcBr7hQhzHGRKSwN/WoapuIfB1YQaA75zJV3R7uOowxJlK50o9fVV8HXj/thsYYY/rcwBxhyBhjzBmz4DfGmAgzIMbqEZEK4MwHW+n/0ug0H5cZQGzfDWxn+/4bo6pdukUOiOA/24lIfndX15n+z/bdwBap+8+aeowxJsJY8BtjTISx4O8flrpdgDljtu8Gtojcf9bGb4wxEcaO+I0xJsJY8BtjTISx4O9DIlJ/0vKXReSR4P3/EJEiEdl8ws9gEblURF474TGLRWSFiMSe9Fx/EZEDJzz2m+F5V2ef/rifgq/7nb54f2c7J/dfD6+XLSK3nOb3H36c9xRurozVE8F+qar/78QVInLi/R8As4DPqmpLN4//d1V9rpv1pm85tp9EJBv4i6pe2mfVmpN93P13smzgFuBvJ/9CRAZkhg7Ios9GIvJt4LPAVara5HY9pnu2nwa20+0/ERkH/AFIB9qB+cBDwGQR2Qw8BhwBrgXigETgK2Epvg9Z8Pet+OAfxzFD6TzXwEIRuTV4/4iqXha8PwuYCExX1U5fY0/ysIj8MHj/S6q6rS+KjkC2nwY2J/ffk8BDqvqiiMQRaA6/D/iOql4HgaYlYAYwVVWrg9/iBhQL/r7VpKrTji0E/0BOvBy8y1fQoL3AEOAzwKmacqypp2+EfT+JyItADhADjD4huH6tqv/d2zcQ4RzZfyKSDIxQ1RcBVLU5uL67Gt5U1eozrN91Fvz9QxnwRWCliFSp6iq3CzLdOuP9pKqfA2vjd9np9l+3Cd+Dhr4rK/ysV08/oaq7gc8DfxWRaS6XY3pg+2lgO9X+U9Va4LCI3AAgIrEikgDUAclhLtVRFvzhtfCkbmbZJ/5SVTcAC4BXROQcVyo04M5+igZC6WFiTu/j7L8vAd8Uka3Au0AmsBVoE5EtIrIwDPU7zoZsMKYfCJ4DeDQ4LakxjrIjfmNcJiLbAD/whtu1mMhgR/zGGBNh7IjfGGMijAW/McZEGAt+Y4yJMBb8JiKJSHuwq9/2YDe9e0TklP8fTjdK48eo5VvB/uLGhIUFv4lUTao6TVU/AVxJYOCuRad5TDaBURr72rcAC34TNhb8JuKpajlwN/B1CcgWkTUisin4MzO46UPAp4PfFBb2tJ2IZInIO8HtPhSRTwfXf0ZE3gtu+6yIJAXH6x8OrBIRG6rDhIV15zQRSUTqVTXppHVHgEkELtH3q2qziIwHnlLVPBG5lM6jNCb0sN23gThVfVBEoggczccCLwDXqGqDiHwXiFXV/xSRAiBPVSvD8uZNxLNB2ow57tggXV7gkeBYLu3AhB6272m7DcAyEfECL6nqZhG5BDgXWBcc7TEGeM+JN2HM6VjwGwOIyFgC4V1OoK2/DDifQHNocw8PW9jddqr6jojMJjBZxxMi8jCByTveVNWbnXwfxoTC2vhNxBORdAKzLj2igbbPFKBEVf0EBu2KCm568iiN3W4nImOAclV9FPgz8EngfWBWcIYnRCRBRCb08LzGOMqO+E2kOjaLkxdoA54A/iv4uyXA8yIyH1jF8bHXO0ZpBP5yiu0uBf5dRFqBeuA2Va0IThjylByf4PuHwG5gKbBcREpOmC3KGMfYyV1jjIkw1tRjjDERxoLfGGMijAW/McZEGAt+Y4yJMBb8xhgTYSz4jTEmwljwG2NMhPn/Q85Bu85JTjEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "result = df.explode('mean').reset_index(drop=True)\n",
    "# ax = sns.boxplot(x='name', y='mean', data=df, showfliers = False)\n",
    "result = result.assign(Dataset=result['name'].astype('category'), \n",
    "                       AngleChange=result['mean'].astype(np.float32))\n",
    "\n",
    "ax = sns.boxplot(x='Dataset', y='AngleChange', data=result, palette='Set2', showfliers = False)\n",
    "\n",
    "ax = sns.swarmplot(x='Dataset', y='AngleChange', data=result, color=\".25\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Mean angle change')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# mean_angle_changes = [mean_angle_changes[0], mean_angle_changes[3]]\n",
    "# pd.DataFrame(mean_angle_changes)\n",
    "fig, ax = plt.subplots()\n",
    "labels = ['HEK ctrl','F','HEK J+F']\n",
    "ax.boxplot(mean_angle_changes, labels=labels, showfliers=False, meanline=True, showmeans=True)\n",
    "ax.set_ylabel('Mean angle change')\n",
    "# mean_angle_changes"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "cf8b8dc69b1e5e9e29a60c14484e944963fde31a86d7ee3b3123eab1914142be"
  },
  "kernelspec": {
   "display_name": "Python 3.9.0 ('m1')",
   "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": "3.9.0"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}