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{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Create plots for panels used in figure 3"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from scipy.optimize import curve_fit\n",
    "import matplotlib.gridspec as gridspec\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "#define a color seed for each patient\n",
    "color_dict = {'VS': 'C0', 'VL': 'C1', 'RS': 'C2',\n",
    "              'KM': 'C3', 'LM': 'C4'}"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "def logistic_growth(x, A, x_0, k):\n",
    "    \"\"\"The logistic growth fct\"\"\"\n",
    "    return A/(1+np.exp(-k*(x-x_0)))\n",
    "\n",
    "def deformed_probability_curve(df, v_min=0, v_max=3, binsize=.25):\n",
    "    \"\"\"Compute the values for the shape probability diagram to find a cell\n",
    "    in a deformed state for velocities between v_min and v_max in the DataFrame df\n",
    "\n",
    "    returns: *tuple* (deformed_bins, deformed_hist_normal)\n",
    "        - deformed_bins: *array* limits for the bin ranges of the histogram\n",
    "        - normalized counts for each velocity range\n",
    "    \"\"\"\n",
    "\n",
    "    bins = int(v_max/binsize)   #number of Bins in histogram\n",
    "    #find index of cells in a deformed state. Class definitions are:\n",
    "    #1-parachute, 2-slipper, 3-asym. parachute, 5-multilobe, 7-undefined deformed\n",
    "    #4-discocyte/undeformed, 6-tumbler\n",
    "    deformed_index = ((df['shape'] == 1)\n",
    "                      | (df['shape'] == 2)\n",
    "                      | (df['shape'] == 3)\n",
    "                      | (df['shape'] == 5)\n",
    "                      | (df['shape'] == 7))\n",
    "\n",
    "    #create new column in df that is True for deformed state\n",
    "    df['deformed'] = False\n",
    "    df['deformed'][deformed_index] = True\n",
    "\n",
    "    df_deformed = df[deformed_index]\n",
    "\n",
    "    deformed_hist, deformed_bins = np.histogram(np.array(df_deformed['velocity']),\n",
    "                                                range = (v_min,v_max),\n",
    "                                                bins = bins)\n",
    "    #get the counts for all events to use for normalization\n",
    "    all_hist, all_bins = np.histogram(np.array(df['velocity']),\n",
    "                                      range = (v_min,v_max),\n",
    "                                      bins = bins)\n",
    "\n",
    "    #normalize the deformed histogram\n",
    "    deformed_hist_normal = deformed_hist/all_hist\n",
    "\n",
    "    return deformed_bins, deformed_hist_normal"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [],
   "source": [
    "#define dict to store fit values\n",
    "dict_fitvalues = {}\n",
    "\n",
    "def dict_fit_values_patient(patient, dict_fitvalues):\n",
    "    result_summary_folder = r\"C:\\Users\\freiche\\ownCloud\\PhD\\Projects\\ChAc\\Analysis\\Jupyter\\MCFM\\result_summaries\"\n",
    "\n",
    "    v_min = 0.\n",
    "    v_max = 3.\n",
    "    binsize = 0.25\n",
    "\n",
    "    #bounds of the parameters in the logistic growth function for our example\n",
    "    #f(x, A, x_0, k) = A/(1+np.exp(-k*(x-x_0)))\n",
    "    # 0<A<1, 0<x_0<inf, 0<x_k<inf\n",
    "    fit_bounds=(0, [1, np.inf, np.inf])\n",
    "\n",
    "    result_file = os.path.join(result_summary_folder, patient + \"_results_MCFM.tsv\")\n",
    "    df_results = pd.read_csv(result_file, sep='\\t')\n",
    "\n",
    "    dates = np.unique(df_results['date'])\n",
    "    dates = np.sort(dates)\n",
    "    day0 = pd.to_datetime(dates[0])\n",
    "\n",
    "    #create dataframes to save fit parameters\n",
    "    df_fit_all = pd.DataFrame()\n",
    "    df_fit_healthy = pd.DataFrame()\n",
    "    df_fit_unhealthy = pd.DataFrame()\n",
    "\n",
    "    for num, date in enumerate(dates):\n",
    "        df_date = df_results[df_results['date']==date]\n",
    "        #create new Dataframe to work with, leave out skipped cells\n",
    "        df = df_date[df_date['shape'] != 0]\n",
    "\n",
    "        healthy_index = df['health'] == 0\n",
    "        df_healthy = df[healthy_index]\n",
    "        unhealthy_index = df['health'] == 1\n",
    "        df_unhealthy = df[unhealthy_index]\n",
    "\n",
    "        #calculate percentage of healthy cells in sample\n",
    "        percentage_healthy = len(df_healthy)/len(df)\n",
    "\n",
    "        bins, deformed_curve = deformed_probability_curve(df, v_min=v_min, v_max=v_max, binsize=binsize)\n",
    "        bins_healthy, deformed_curve_healthy =  deformed_probability_curve(df_healthy,\n",
    "                                                                           v_min=v_min, v_max=v_max, binsize=binsize)\n",
    "        bins_unhealthy, deformed_curve_unhealthy =  deformed_probability_curve(df_unhealthy,\n",
    "                                                                           v_min=v_min, v_max=v_max, binsize=binsize)\n",
    "\n",
    "        bins_plot = bins[:-1]+binsize/2\n",
    "\n",
    "        #exclude nan values before fitting\n",
    "        ind_nonnan_all = ~np.isnan(deformed_curve)\n",
    "        ind_nonnan_healthy = ~np.isnan(deformed_curve_healthy)\n",
    "        ind_nonnan_unhealthy = ~np.isnan(deformed_curve_unhealthy)\n",
    "\n",
    "        popt_all, pcov_all = curve_fit(logistic_growth,\n",
    "                                       bins_plot[ind_nonnan_all], deformed_curve[ind_nonnan_all],\n",
    "                                       bounds = fit_bounds)\n",
    "        popt_healthy, pcov_healthy = curve_fit(logistic_growth, bins_plot[ind_nonnan_healthy],\n",
    "                                               deformed_curve_healthy[ind_nonnan_healthy],\n",
    "                                               bounds = fit_bounds)\n",
    "        popt_unhealthy, pcov_unhealthy = curve_fit(logistic_growth, bins_plot[ind_nonnan_unhealthy],\n",
    "                                                   deformed_curve_unhealthy[ind_nonnan_unhealthy],\n",
    "                                                   bounds = fit_bounds)\n",
    "\n",
    "        #days since treatment start\n",
    "        treatment_days = (pd.to_datetime(date) - day0).days\n",
    "\n",
    "        df_fit_all = df_fit_all.append({'A': popt_all[0], 'x0': popt_all[1],\n",
    "                                        'k': popt_all[2], 'days': treatment_days,\n",
    "                                        'percent healthy': percentage_healthy},\n",
    "                                       ignore_index=True)\n",
    "        df_fit_healthy = df_fit_healthy.append({'A': popt_healthy[0],\n",
    "                                           'x0': popt_healthy[1],\n",
    "                                           'k': popt_healthy[2],\n",
    "                                            'days': treatment_days}, ignore_index=True)\n",
    "        df_fit_unhealthy = df_fit_unhealthy.append({'A': popt_unhealthy[0],\n",
    "                                             'x0': popt_unhealthy[1],\n",
    "                                             'k': popt_unhealthy[2],\n",
    "                                              'days': treatment_days}, ignore_index=True)\n",
    "\n",
    "    dict_fitvalues[patient] = {'all': df_fit_all, 'healthy': df_fit_healthy, 'unhealthy': df_fit_unhealthy}\n",
    "\n",
    "    return dict_fitvalues"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Fill dictionary with patient data"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [],
   "source": [
    "patients = ['LM', 'KM']\n",
    "labels = [\"P4\", \"P5\"]\n",
    "\n",
    "for patient in patients:\n",
    "    dict_fitvalues = dict_fit_values_patient(patient, dict_fitvalues)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 864x396 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 864x396 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 864x396 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "savefolder = r\"C:\\Users\\freiche\\ownCloud\\PhD\\Projects\\ChAc\\manuscript\\figures\\plots\\MCFM\"\n",
    "\n",
    "#compute control fit values\n",
    "results_ctrl = np.loadtxt(\"histograms_HealthyControl_deformed_undeformed.txt\")\n",
    "\n",
    "v_min = 0.\n",
    "v_max = 3.\n",
    "binsize = 0.25\n",
    "bins = int(v_max / binsize)\n",
    "\n",
    "v_ctrl = results_ctrl[:,0]\n",
    "probs_ctrl = results_ctrl[:,3]\n",
    "probs_ctrl_err = results_ctrl[:,4]\n",
    "\n",
    "fit_bounds=(0, [1, np.inf, np.inf])\n",
    "\n",
    "ind_vmax = v_ctrl <= v_max\n",
    "v_ctrl = v_ctrl[ind_vmax]\n",
    "probs_ctrl = probs_ctrl[ind_vmax]\n",
    "probs_ctrl_err = probs_ctrl_err[ind_vmax]\n",
    "\n",
    "popt_ctrl, pcov_ctrl = curve_fit(logistic_growth, v_ctrl, probs_ctrl,\n",
    "                                 sigma = probs_ctrl_err, absolute_sigma=False,\n",
    "                                 bounds = fit_bounds)\n",
    "\n",
    "with sns.axes_style('darkgrid'):\n",
    "\n",
    "    #plot control values in every plot\n",
    "    for ii in range(3):\n",
    "        plt.figure(ii,(12,5.5))\n",
    "\n",
    "    fig = plt.figure(1)\n",
    "    height_ratio = 4\n",
    "    spec = gridspec.GridSpec(ncols=2, nrows=2, figure=fig, height_ratios=[1,height_ratio])\n",
    "\n",
    "    fontsize = 20\n",
    "    linewidth = 8\n",
    "    markersize = 18\n",
    "    xlabel = 'Days since treatment start'\n",
    "\n",
    "    params = ['A', 'x0', 'k']\n",
    "    plot_titles = ['Normocytes', 'Acanthocytes']\n",
    "    ylims = [(.7,1.01), (.2,.7),(0,15)]\n",
    "\n",
    "    for jj, patient in enumerate(patients):\n",
    "        data = dict_fitvalues[patient]\n",
    "        color = color_dict[patient]\n",
    "\n",
    "        for ii in range(len(params)):\n",
    "            para = params[ii]\n",
    "            fig = plt.figure(ii)\n",
    "\n",
    "            for n, health in enumerate(['healthy', 'unhealthy']):\n",
    "                df_plot = data[health]\n",
    "\n",
    "                ax=plt.subplot(1,2,n+1)\n",
    "                #plot control line first\n",
    "                if jj==0:\n",
    "                    if health=='unhealthy':\n",
    "                        plt.axhline(popt_ctrl[ii], color='darkgray', ls='--', lw=1.5*linewidth, alpha=.75,\n",
    "                                    label='CTRL')\n",
    "                    else:\n",
    "                        plt.axhline(popt_ctrl[ii], color='darkgray', ls='--', lw=1.5*linewidth, alpha=.75)\n",
    "\n",
    "                if patient=='LM':\n",
    "                    plt.plot(df_plot['days'][:-2], df_plot[para][:-2], c=color, label=labels[jj],\n",
    "                             marker='X', lw=linewidth, markersize=markersize)\n",
    "                    plt.plot(df_plot['days'][-3:], df_plot[para][-3:], '--', c=color,\n",
    "                             marker='X', lw=linewidth, markersize=markersize)\n",
    "                else:\n",
    "                    plt.plot(df_plot['days'][:-1], df_plot[para][:-1], c=color, label=labels[jj],\n",
    "                             marker='X', lw=linewidth, markersize=markersize)\n",
    "                    plt.plot(df_plot['days'][-2:], df_plot[para][-2:], '--', c=color,\n",
    "                             marker='X', lw=linewidth, markersize=markersize)\n",
    "\n",
    "                plt.ylim(ylims[ii])\n",
    "                plt.xlabel(xlabel, fontsize=fontsize+2)\n",
    "                plt.xticks([0,100,200,300,400,500])\n",
    "                plt.tick_params(axis='both', which='both', labelsize=fontsize-2)\n",
    "\n",
    "                if para=='x0':\n",
    "                    plot_para = 'v_0'\n",
    "                else:\n",
    "                    plot_para = para\n",
    "                plt.title(r'${}$ - {}'.format(plot_para, plot_titles[n]), fontsize=fontsize+2)\n",
    "\n",
    "                if health=='unhealthy':\n",
    "                    ax.get_yaxis().set_ticklabels([])\n",
    "\n",
    "    fig = plt.figure(0)\n",
    "    fig.supylabel(\"Plateau probability\", fontsize=fontsize)\n",
    "    plt.legend(ncol=2, fontsize=fontsize-4, title_fontsize=fontsize)\n",
    "    plt.tight_layout()\n",
    "    savename = \"MCFM_Li_treatment_fitvalues_A\"\n",
    "    savepath = os.path.join(savefolder,savename)\n",
    "    plt.savefig(savepath+\".pdf\", dpi=900, format='pdf')\n",
    "\n",
    "    fig=plt.figure(1)\n",
    "    fig.supylabel(\"Transition velocity [mm/s]\", fontsize=fontsize)\n",
    "    plt.legend(ncol=2, fontsize=fontsize-4, title_fontsize=fontsize)\n",
    "    plt.tight_layout()\n",
    "    savename = \"MCFM_Li_treatment_fitvalues_v0\"\n",
    "    savepath = os.path.join(savefolder,savename)\n",
    "    plt.savefig(savepath+\".pdf\", dpi=900, format='pdf')\n",
    "\n",
    "    fig = plt.figure(2)\n",
    "    fig.supylabel(r\"Growth rate [(mm/s)$^{-1}$]\", fontsize=fontsize)\n",
    "    plt.legend(ncol=2, fontsize=fontsize-4, title_fontsize=fontsize)\n",
    "    plt.tight_layout()\n",
    "    savename = \"MCFM_Li_treatment_fitvalues_k\"\n",
    "    savepath = os.path.join(savefolder,savename)\n",
    "    plt.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
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   "language": "python",
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    "name": "ipython",
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
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