{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Create plots for panels used in figure S1"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## A"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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": 4,
   "outputs": [],
   "source": [
    "def weighted_means_and_errors(counts, counts_abs):\n",
    "    \"\"\"Calculate weighted mean values and error from the input arrays\"\"\"\n",
    "\n",
    "    weights = np.zeros_like(counts)\n",
    "    weights_normed = np.zeros_like(counts)\n",
    "\n",
    "    # sum up number of cell in each velocity range, for every measurement\n",
    "    counts_sum = np.sum(counts_abs, axis = 2)\n",
    "    sum_counts = np.sum(counts_sum, axis = 1)\n",
    "\n",
    "    # calculate absolute and relative weights\n",
    "    for k in range(len(weights[0,:,0])):\n",
    "        weights[:,k,:] = np.sum(counts_abs, axis = 1)\n",
    "        weights_normed[:,k,:] = weights[:,k,:] / sum_counts[k]     #needed for calculation of the error\n",
    "\n",
    "    # calculate weighted averages, mask nans\n",
    "    means = np.ma.average(counts, axis = 2, weights = weights)\n",
    "    means = np.array(means)     #remove mask again\n",
    "\n",
    "    # calculate weighted variance and from that the error\n",
    "    var = np.zeros_like(means)\n",
    "\n",
    "    for l in range(len(counts[0,0,:])):\n",
    "        var += (counts[:,:,l]-means)**2 * weights_normed[:,:,l]\n",
    "\n",
    "    errs = np.sqrt(var)\n",
    "\n",
    "    # make sure that probability sums up to 1\n",
    "    for i in range(len(means)):\n",
    "        means[i,:] = means[i,:]/sum(means[i,:])\n",
    "\n",
    "    return means, errs\n",
    "\n",
    "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": 12,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x360 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "patients = ['VS', 'VL', 'RS', 'LM', 'KM']\n",
    "labels = [\"P1\", \"P2\", \"P3\", \"P4\", \"P5\"]\n",
    "\n",
    "result_summary_folder = r\"C:\\Users\\freiche\\ownCloud\\PhD\\Projects\\ChAc\\Analysis\\Jupyter\\MCFM\\result_summaries\"\n",
    "\n",
    "lw = 2.5\n",
    "xlabel = \"Velocity [mm/s]\"\n",
    "ylabel = \"Probability for deformed shape\"\n",
    "fontsize = 18\n",
    "color_ctrl = 'darkgray'\n",
    "color_ctrl_fit = 'darkcyan'\n",
    "alpha_ctrl = .99\n",
    "alpha_ctrl_fit = 1\n",
    "lw_ctrl =2\n",
    "v_min = 0.\n",
    "v_max = 3.\n",
    "binsize = 0.25\n",
    "\n",
    "with sns.axes_style('darkgrid'):\n",
    "    plt.figure(0,(6,5))\n",
    "\n",
    "    #plot control curves\n",
    "    #load data from txt file\n",
    "    results_ctrl = np.loadtxt(\"histograms_HealthyControl_deformed_undeformed.txt\")\n",
    "\n",
    "    v_ctrl = results_ctrl[:,0]\n",
    "    probs_ctrl = results_ctrl[:,3]\n",
    "    probs_ctrl_err = results_ctrl[:,4]\n",
    "\n",
    "    #fit the control data\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",
    "    ax = plt.subplot(111)\n",
    "    plt.errorbar(v_ctrl, probs_ctrl, probs_ctrl_err, color=color_ctrl, lw=lw, alpha=alpha_ctrl, label='CTRL', zorder=1)\n",
    "    plt.plot(v_ctrl, logistic_growth(v_ctrl, *popt_ctrl), '--', color=color_ctrl_fit, lw=lw-.5,\n",
    "             alpha=alpha_ctrl_fit, label='CTRL fit')\n",
    "\n",
    "    for ii, patient in enumerate(patients):\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",
    "\n",
    "        day0 = dates[0]\n",
    "\n",
    "        color = color_dict[patient]\n",
    "\n",
    "        df_date = df_results[df_results['date']==day0]\n",
    "        #create new Dataframe to work with, leave out skipped cells\n",
    "        df = df_date[df_date['shape'] != 0]\n",
    "\n",
    "        bins, deformed_curve = deformed_probability_curve(df, v_min=v_min, v_max=v_max, binsize=binsize)\n",
    "        bins_plot = bins[:-1]+binsize/2\n",
    "\n",
    "        ax.plot(bins_plot, deformed_curve, c=color, lw=lw, label=labels[ii])\n",
    "\n",
    "    ax.set_xlim(0,3)\n",
    "    ax.set_ylim(0,1.1)\n",
    "    ax.set_xlabel(xlabel, fontsize = fontsize)\n",
    "    ax.set_ylabel(ylabel, fontsize = fontsize)\n",
    "    ax.tick_params(axis='both', which='both', labelsize=fontsize)\n",
    "    ax.set_title('All RBCs', fontsize = fontsize+2)\n",
    "    ax.legend(ncol=2, fontsize=fontsize-6)\n",
    "\n",
    "    handles, labels = ax.get_legend_handles_labels()\n",
    "    handles = np.roll(handles,-1)\n",
    "    labels = np.roll(labels, -1)\n",
    "    ax.legend(handles=list(handles), labels=list(labels), fontsize=fontsize-4, ncol=2)\n",
    "\n",
    "    plt.tight_layout()\n",
    "\n",
    "    savefolder = r\"C:\\Users\\freiche\\ownCloud\\PhD\\Projects\\ChAc\\manuscript\\figures\\plots\\MCFM\"\n",
    "    savename = \"MCFM_baseline_all_rbcs\"\n",
    "    savepath = os.path.join(savefolder,savename)\n",
    "\n",
    "    plt.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## B-D"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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": 14,
   "outputs": [],
   "source": [
    "patients = ['VS', 'VL', 'RS', 'LM', 'KM']\n",
    "labels = [\"P1\", \"P2\", \"P3\", \"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": 15,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 864x432 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 864x432 with 2 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 864x432 with 1 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_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",
    "v_min = 0.\n",
    "v_max = 3.\n",
    "binsize = 0.25\n",
    "Bins = int(v_max/binsize)\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",
    "figsize = (12,6)\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,figsize)\n",
    "\n",
    "    fig = plt.figure(1,figsize)\n",
    "    height_ratio = 5\n",
    "    spec = gridspec.GridSpec(ncols=1, nrows=2, figure=fig, height_ratios=[1,height_ratio])\n",
    "\n",
    "    fontsize = 22\n",
    "    linewidth = 8\n",
    "    markersize = 15\n",
    "    xlabel = 'Days since treatment start'\n",
    "\n",
    "    params = ['A', 'x0', 'k']\n",
    "#     ylabels = [\"Plateau probability\",\n",
    "#               \"Transition velocity [mm/s]\",\n",
    "#               r\"Growth rate [(mm/s)$^{-1}$]\"]\n",
    "    plot_titles = ['All RBCs']\n",
    "    ylims = [(.5,1), (.3,.85),(0,22.5)]\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(['all']):\n",
    "                df_plot = data[health]\n",
    "                if para=='x0':\n",
    "#                     ax1=fig.add_subplot(spec[0, n])\n",
    "#                     ax2=fig.add_subplot(spec[1, n])#, sharex=ax1)\n",
    "                    ax1=plt.subplot(spec[0, n])\n",
    "                    ax2=plt.subplot(spec[1, n])#, sharex=ax1)\n",
    "\n",
    "                    if jj==0:\n",
    "                        #common axis for both subplots to add a joined ylabel\n",
    "#                         ax=fig.add_subplot(spec[:, n])\n",
    "#                         ax.get_xaxis().set_ticks([])\n",
    "#                         ax.get_yaxis().set_ticks([])\n",
    "#                         for item in [fig, ax]:\n",
    "#                             item.patch.set_visible(False)\n",
    "#                         ax.set_ylabel(ylabels[ii], fontsize=fontsize, labelpad=40)\n",
    "                        ax1.set_title(r'${}$ - {}'.format(\"v_0\", plot_titles[n]), fontsize=fontsize+2)\n",
    "                        # hide the spines between ax1 and ax2\n",
    "                        ax1.spines['bottom'].set_visible(False)\n",
    "                        ax2.spines['top'].set_visible(False)\n",
    "    #                     ax1.xaxis.tick_top()\n",
    "    #                     ax1.get_xaxis().set_ticklabels([])\n",
    "                        ax1.tick_params(labeltop=False, labelbottom=False)  # don't put tick labels at the top\n",
    "    #                     ax2.xaxis.tick_bottom()\n",
    "\n",
    "                        d = .015  # how big to make the diagonal lines in axes coordinates\n",
    "                        # arguments to pass to plot, just so we don't keep repeating them\n",
    "                        kwargs = dict(transform=ax1.transAxes, color='k', clip_on=False)\n",
    "                        ax1.plot((-d, +d), (-height_ratio*d, +height_ratio*d), **kwargs)        # top-left diagonal\n",
    "                        ax1.plot((1 - d, 1 + d), (-height_ratio*d, +height_ratio*d), **kwargs)  # top-right diagonal\n",
    "\n",
    "                        kwargs.update(transform=ax2.transAxes)  # switch to the bottom axes\n",
    "                        ax2.plot((-d, +d), (1 - d, 1 + d), **kwargs)  # bottom-left diagonal\n",
    "                        ax2.plot((1 - d, 1 + d), (1 - d, 1 + d), **kwargs)  # bottom-right diagonal\n",
    "\n",
    "                        ax1.set_ylim(1.1,1.25)\n",
    "                        ax2.set_ylim(.3,.8)\n",
    "                        ax2.set_xlabel(xlabel, fontsize=fontsize)\n",
    "\n",
    "                        ax1.tick_params(axis='both', which='both', labelsize=fontsize-2)\n",
    "                        ax1.set_xticks([0,100,200,300])\n",
    "                        ax2.tick_params(axis='both', which='both', labelsize=fontsize-2)\n",
    "                        ax2.set_xticks([0,100,200,300])\n",
    "\n",
    "                        if health=='unhealthy':\n",
    "                            ax2.axhline(popt_ctrl[ii], color='darkgray', ls='--',\n",
    "                                        lw=1.5*linewidth, alpha=.75, label='CTRL')\n",
    "                            ax1.axhline(popt_ctrl[ii], color='darkgray', ls='--',\n",
    "                                        lw=1.5*linewidth, alpha=.75, label='CTRL')\n",
    "                        else:\n",
    "                            ax2.axhline(popt_ctrl[ii], color='darkgray', ls='--',\n",
    "                                        lw=1.5*linewidth, alpha=.75, label='CTRL')\n",
    "\n",
    "                    ax1.plot(df_plot['days'][:-1], df_plot[para][:-1], c=color, label=labels[jj],\n",
    "                             marker='X', lw=linewidth, markersize=markersize)\n",
    "                    ax1.plot(df_plot['days'][-2:], df_plot[para][-2:], '--', c=color,\n",
    "                             marker='X', lw=linewidth, markersize=markersize)\n",
    "                    ax2.plot(df_plot['days'][:-1], df_plot[para][:-1], c=color, label=labels[jj],\n",
    "                             marker='X', lw=linewidth)\n",
    "                    ax2.plot(df_plot['days'][-2:], df_plot[para][-2:], '--', c=color,\n",
    "                             marker='X', lw=linewidth, markersize=markersize)\n",
    "\n",
    "                    if patient == 'RS' and health=='unhealthy':\n",
    "                        ax1.legend(ncol=2, fontsize=fontsize-4)\n",
    "\n",
    "                    if health=='unhealthy':\n",
    "                        ax1.get_yaxis().set_ticklabels([])\n",
    "                        ax2.get_yaxis().set_ticklabels([])\n",
    "\n",
    "                else:\n",
    "                    ax=plt.subplot(111)\n",
    "\n",
    "                    if jj==0:\n",
    "                        if health=='unhealthy':\n",
    "                            plt.axhline(popt_ctrl[ii], color='darkgray', ls='--',\n",
    "                                        lw=1.5*linewidth, alpha=.75, label='CTRL')\n",
    "                        else:\n",
    "                            plt.axhline(popt_ctrl[ii], color='darkgray', ls='--',\n",
    "                                        lw=1.5*linewidth, alpha=.75)\n",
    "\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)\n",
    "#                     plt.ylabel(ylabels[ii], fontsize=fontsize)\n",
    "                    plt.tick_params(axis='both', which='both', labelsize=fontsize-2)\n",
    "                    plt.xticks([0,100,200,300])\n",
    "                    plt.title(r'${}$ - {}'.format(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_treatment_fitvalues_A_figS1_allCells\"\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",
    "#     ax1.legend(ncol=2, fontsize=fontsize-6, title_fontsize=fontsize)\n",
    "    plt.tight_layout()\n",
    "    savename = \"MCFM_treatment_fitvalues_v0_figS1_allCells\"\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_treatment_fitvalues_k_figS1_allCells\"\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": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}