coronal3D.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import os\n",
    "from os import path\n",
    "from glob import glob\n",
    "import matplotlib.pyplot as plt\n",
    "import sys\n",
    "sys.path.append('../')\n",
    "from utils import *\n",
    "from processing import *\n",
    "#from analysis import *\n",
    "import subspaceMSI\n",
    "import seaborn as sns\n",
    "from scipy.stats import pearsonr,spearmanr\n",
    "from skimage.metrics import structural_similarity as ssim\n",
    "import pickle\n",
    "from numpy.linalg import svd\n",
    "from pyIMS.pyImagingMSpec.image_measures import measure_of_chaos\n",
    "from scipy.signal import medfilt\n",
    "import matplotlib\n",
    "sys.path.append(\"../..\")\n",
    "\n",
    "matplotlib.rcParams.update({'font.size': 14})\n",
    "from skimage import io\n",
    "from skimage.transform import rescale,resize\n",
    "from skimage import color\n",
    "import cv2 as cv\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.metrics.pairwise import cosine_similarity,euclidean_distances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def load_data(file):\n",
    "    with open(file, 'rb') as fp:\n",
    "        data = pickle.load(fp)\n",
    "        mz = data['mz']\n",
    "        print(mz.shape)\n",
    "        peak_data = data['peak_data']\n",
    "        coord = []\n",
    "        if 'coordinates' in data.keys():\n",
    "            coord = data['coordinates']\n",
    "    #intens_mtx = intens_mtx/tic.reshape(-1,1)\n",
    "    return mz,peak_data,coord\n",
    "\n",
    "def pklist2imzML_3D(input_dir,out_dir,peak_list_name):\n",
    "\n",
    "    \"\"\"\n",
    "    \"\"\"\n",
    "    idx = 0\n",
    "    with ImzMLWriter(out_dir+peak_list_name+'.imzML') as w:\n",
    "        mz,peak_list,coord = load_data(input_dir+peak_list_name+'.pkl')\n",
    "        coords=list(coord)\n",
    "        names=[peak_list_name]*len(coord)\n",
    "        print('writing '+peak_list_name)\n",
    "\n",
    "        for i in range(1,len(peak_list)+1):\n",
    "\n",
    "            if peak_list[i]['mz'].size >0:\n",
    "                w.addSpectrum(mzs = peak_list[i]['mz'],intensities = peak_list[i]['intensity'],\n",
    "                                        coords = tuple([1,idx]))\n",
    "                idx+=1\n",
    "    return coord"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "np.l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "input_dir = 'E:/3DCoronal/decoded_data_new/'\n",
    "out_dir = 'E:/3DCoronal/imzml/'\n",
    "# slice_order = ['slide1_2_R00','slide1_2_R01','slide1_2_R02','slide1_2_R03','slide1_2_R04','slide1_2_R05','slide1_2_R06',\n",
    "#               'slide1_2_R07','slide1_2_R08','slide3_5_R00','slide3_5_R10','slide3_5_R01','slide3_5_R02','slide3_5_R03',\n",
    "#               'slide3_5_R04','slide4_6_R00','slide4_6_R11','slide4_6_R01','slide4_6_R02','slide4_6_R03','slide4_6_R04',\n",
    "#               'slide3_5_R05','slide3_5_R06','slide3_5_R07','slide3_5_R08','slide3_5_R11','slide3_5_R09','slide4_6_R05',\n",
    "#               'slide4_6_R06','slide4_6_R07','slide4_6_R08','slide4_6_R09','slide4_6_R10','slide7_R00','slide7_R01',\n",
    "#               'slide7_R02','slide7_R03']\n",
    "slice_order = ['slide1_2_R00','slide1_2_R01','slide1_2_R02','slide1_2_R03','slide1_2_R04','slide1_2_R05','slide1_2_R06',\n",
    "              'slide1_2_R07','slide1_2_R08','slide3_5_R00','slide3_5_R10','slide3_5_R01','slide3_5_R02','slide3_5_R03',\n",
    "              'slide3_5_R04','slide4_6_R00','slide4_6_R11','slide4_6_R01','slide4_6_R02','slide4_6_R03','slide4_6_R04',\n",
    "              'slide3_5_R05','slide4_6_R05','slide4_6_R06','slide4_6_R07','slide4_6_R08']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "intens_mtxs = []\n",
    "mz_set = []\n",
    "mz_list = []\n",
    "peak_list_names = ['coronal3D_latent32_epoch10_{}_propagated_decoded'.format(slice) for slice in slice_order]\n",
    "\n",
    "coords= []\n",
    "names = []\n",
    "for peak_list_name in peak_list_names:\n",
    "    coord = pklist2imzML_3D(input_dir,out_dir,peak_list_name)\n",
    "    coords+=list(coord)\n",
    "    names+=[peak_list_name]*len(coord)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
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      "c:\\users\\richard\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\pyimzml\\ontology\\ontology.py:86: UserWarning: Accession IMS:1000491 found with incorrect name \"line scan left right\". Updating name to \"linescan left right\".\n",
      "  warn(\n"
     ]
    },
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      "file loaded\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|▏                                                                          | 425/168602 [00:00<01:19, 2119.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of mass bins 168602\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "100%|████████████████████████████████████████████████████████████████████████| 168602/168602 [01:21<00:00, 2057.96it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TODO: convert indices into real world coordinates\n",
      "loaded spectra\n",
      "file loaded\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|▏                                                                          | 458/168602 [00:00<01:13, 2282.23it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "number of mass bins 168602\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "100%|████████████████████████████████████████████████████████████████████████| 168602/168602 [01:16<00:00, 2202.14it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TODO: convert indices into real world coordinates\n",
      "loaded spectra\n",
      "file loaded\n"
     ]
    },
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "number of mass bins 168602\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "100%|████████████████████████████████████████████████████████████████████████| 168602/168602 [01:10<00:00, 2380.77it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TODO: convert indices into real world coordinates\n",
      "loaded spectra\n",
      "file loaded\n"
     ]
    },
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     "output_type": "stream",
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      "  0%|▎                                                                          | 662/168602 [00:00<00:50, 3312.28it/s]"
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    },
    {
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     "output_type": "stream",
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      "number of mass bins 168602\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TODO: convert indices into real world coordinates\n",
      "loaded spectra\n",
      "file loaded\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "number of mass bins 168602\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TODO: convert indices into real world coordinates\n",
      "loaded spectra\n",
      "file loaded\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|▏                                                                          | 320/168602 [00:00<00:52, 3176.81it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of mass bins 168602\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████| 168602/168602 [00:52<00:00, 3214.85it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TODO: convert indices into real world coordinates\n",
      "loaded spectra\n",
      "file loaded\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|▎                                                                          | 672/168602 [00:00<00:50, 3334.08it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of mass bins 168602\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████| 168602/168602 [00:52<00:00, 3196.49it/s]\n"
     ]
    }
   ],
   "source": [
    "feat_count = []\n",
    "for peak_list_name in peak_list_names:\n",
    "    imzml_data = loadimzMLData(out_dir+peak_list_name+'.imzml')\n",
    "    intens_array, mz_bins, mz_bins_use, c = extractMZFeatures(imzml_data, ppm=3, mz_range=(400,1100), feature_n=0.2)\n",
    "    feat_count.append(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 51875.171875  , 200730.046875  , 124571.09375   , ...,\n",
       "         18684.91210938,  33605.54296875,  21476.77539062],\n",
       "       [127430.1171875 , 291195.59375   , 207051.109375  , ...,\n",
       "         22857.7265625 ,  23130.24804688,  24455.01953125],\n",
       "       [150280.46875   , 333886.25      , 254090.765625  , ...,\n",
       "         18481.84179688,  27831.8046875 ,  16739.65820312],\n",
       "       ...,\n",
       "       [ 11906.33203125,  10431.38085938,   1426.66589355, ...,\n",
       "         14659.8046875 ,  25396.32421875,  21191.22460938],\n",
       "       [  6716.46972656,  12637.10351562,   2672.64624023, ...,\n",
       "          8692.16601562,  17318.24414062,  19486.91601562],\n",
       "       [  2624.6237793 ,   3274.52880859,   7275.13378906, ...,\n",
       "          2101.62084961,  11362.51855469,  24910.5078125 ]])"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "intens_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 507.,  445.,  237.,  240.,  234.,  175.,  286.,  250.,  200.,\n",
       "        1532.]),\n",
       " array([0.20000196, 0.28000177, 0.36000157, 0.44000137, 0.52000118,\n",
       "        0.60000098, 0.68000079, 0.76000059, 0.84000039, 0.9200002 ,\n",
       "        1.        ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "feat_freq = np.array(feat_count).sum(0)/len(coords)\n",
    "mz_use = np.array(mz_bins)[np.array(n).astype(bool).sum(0)==26]\n",
    "plt.hist(feat_freq[(feat_freq>0.2)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|                                                                           | 234/168602 [00:00<01:12, 2322.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of mass bins 168602\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████| 168602/168602 [01:09<00:00, 2441.03it/s]\n"
     ]
    }
   ],
   "source": [
    "intens_array, mz_bins, mz_bins_use, c = extractMZFeatures(imzml_data, ppm=3, mz_range=(400,1100), feature_n=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import umap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def extractMZFeatures(imzml_dataset, ppm, mz_range, feature_n = 0.05, mz_bins = []):\n",
    "        \n",
    "    if len(mz_bins) == 0:\n",
    "        mz_bins = [mz_range[0]]\n",
    "        while mz_bins[-1] < mz_range[1]:\n",
    "            mz_bins.append(mz_bins[-1]+mz_bins[-1]*2*ppm*10**-6)\n",
    "        \n",
    "    print('number of mass bins {}'.format(len(mz_bins)))\n",
    "\n",
    "    count = []\n",
    "    for i in tqdm(range(len(mz_bins))):\n",
    "        count.append(imzml_dataset.get_ion_image(mz_bins[i],ppm).xic_to_image(0).astype(bool).sum())\n",
    "    \n",
    "    mz_bins_filter = (np.array(count)>=int(imzml_dataset.coords.shape[0]*feature_n))\n",
    "    mz_bins_use = np.array(mz_bins)[mz_bins_filter]\n",
    "                \n",
    "    datacube = imzml_dataset.get_ion_image(mz_bins_use, ppm)\n",
    "    \n",
    "    datacube_array = [datacube.xic_to_image(i) for i in range(len(mz_bins_use))]\n",
    "    datacube_array = np.concatenate(datacube_array,axis=1)\n",
    "        \n",
    "    return datacube_array, mz_bins, mz_bins_use, count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([2929., 1803.,  705., 1030.,  802.,  740.,  625.,  531.,  472.,\n",
       "         462.,  405.,  333.,  296.,  282.,  290.,  251.,  219.,  186.,\n",
       "         182.,  186.,  213.,  171.,  135.,  159.,  183.,  182.,  186.,\n",
       "         154.,  208.,  187.,  202.,  163.,  159.,   82.,  546.,  288.,\n",
       "        1096.,    0.,    0.,    0.]),\n",
       " array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "        18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34,\n",
       "        35, 36, 37, 38, 39, 40, 41]),\n",
       " <BarContainer object of 40 artists>)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from collections import Counter\n",
    "mz_count = Counter(mz_list)\n",
    "count_keys = list(mz_count.keys())\n",
    "count_values = list(mz_count.values())\n",
    "plt.hist(np.array(count_values),bins=np.arange(1,42),rwidth=0.4,align='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "104265280"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17043 1096\n"
     ]
    }
   ],
   "source": [
    "total_mz = set(mz_set[0])\n",
    "for s in mz_set[1:]:\n",
    "    total_mz = total_mz | (s)\n",
    "common_mz = sorted(list(set.intersection(*mz_set)))\n",
    "print(len(total_mz),len(common_mz))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mz_use = np.load('mz_use_imzml.npy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3365,)\n",
      "TODO: convert indices into real world coordinates\n",
      "loaded spectra\n",
      "file loaded\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 33%|█████████████████████████▌                                                   | 384/1156 [00:00<00:00, 1917.64it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of mass bins 1156\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████| 1156/1156 [00:00<00:00, 1917.63it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(39872, 1156)\n",
      "(3373,)\n",
      "TODO: convert indices into real world coordinates\n",
      "loaded spectra\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "  0%|                                                                                         | 0/1156 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file loaded\n",
      "number of mass bins 1156\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████| 1156/1156 [00:00<00:00, 1355.63it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(42652, 1156)\n",
      "(3426,)\n",
      "TODO: convert indices into real world coordinates\n",
      "loaded spectra\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "  0%|                                                                                         | 0/1156 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file loaded\n",
      "number of mass bins 1156\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████| 1156/1156 [00:00<00:00, 1429.21it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(41297, 1156)\n",
      "(3413,)\n",
      "TODO: convert indices into real world coordinates\n",
      "loaded spectra\n",
      "file loaded\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 25%|██████████████████▉                                                          | 284/1156 [00:00<00:00, 1416.71it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of mass bins 1156\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████| 1156/1156 [00:00<00:00, 1434.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(43140, 1156)\n",
      "(3446,)\n",
      "TODO: convert indices into real world coordinates\n",
      "loaded spectra\n",
      "file loaded\n",
      "number of mass bins 1156\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████| 1156/1156 [00:00<00:00, 1495.60it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(40197, 1156)\n",
      "(3397,)\n",
      "TODO: convert indices into real world coordinates\n",
      "loaded spectra\n",
      "file loaded\n",
      "number of mass bins 1156\n"
     ]
    },
    {
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      "\n"
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    {
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    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "(33224, 1156)\n"
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   ],
   "source": [
    "#common_mz = sorted(list(set.intersection(*mz_set)))\n",
    "import h5py\n",
    "\n",
    "hf = h5py.File(input_dir+'coronal3D_propagated_decoded_new.h5', 'w')\n",
    "\n",
    "for slice in slice_order:\n",
    "    group = hf.create_group(slice)\n",
    "    peak_list_name = 'coronal3D_latent32_epoch10_{}_propagated_decoded'.format(slice)\n",
    "    mz,peak_list,coord = load_data(input_dir+peak_list_name+'.pkl')\n",
    "    imzml_data = loadimzMLData(out_dir+peak_list_name+'.imzml')\n",
    "    #mz,intens_mtx,coord = load_data(input_dir+'coronal3D_latent32_epoch10_{}_propagated_decoded.pkl'.format(slice))\n",
    "    intens_mtx, mz_bins, mz_bins_use, c = extractMZFeatures(imzml_data, ppm=3, mz_range=(400,1100), feature_n=0.2,mz_bins=mz_use)\n",
    "    print(intens_mtx.shape)\n",
    "    idx_use = np.where(np.in1d(mz_bins,mz_use))[0]\n",
    "    group.create_dataset('mz',data=mz_bins_use)\n",
    "    group.create_dataset('mz_common',data=mz_use)\n",
    "    group.create_dataset('mz_use_idx',data=idx_use)\n",
    "    group.create_dataset('coordinates',data=coord)\n",
    "    group.create_dataset('intensity matrix',data=intens_mtx)\n",
    "hf.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "hf.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "adducts = ['M+H','M+Na','M+K']\n",
    "site_url = 'https://www.lipidmaps.org/rest/moverz/LIPIDS'\n",
    "\n",
    "#mz_use = model.VAE_model('../processed_data/sagittal3D_propagated.h5').mz_use\n",
    "\n",
    "annot_df, matched, unmatched = LipidMaps_annotate(common_mz, adducts, 5, site_url)\n",
    "\n",
    "annot_df['ppm'] = annot_df['Delta']/annot_df['Input m/z']*1e6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# annot_hist = np.unique([name.split(' ')[0] for name in annot_df[(annot_df['ppm']<1)]['Name'].unique()], return_counts=True)\n",
    "# #annot_hist2 = np.unique([name.split(' ')[0] for name in annot_df2[annot_df2['ppm']<2]['Name'].unique()], return_counts=True)\n",
    "\n",
    "# plt.figure(figsize=(6,10))\n",
    "# sns.barplot(y=annot_hist[0],x=annot_hist[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "index = []\n",
    "for i in range(annot_df['Input m/z'].shape[0]):\n",
    "    #print(mz,np.where(common_mz==annot_df['Input m/z'][i]))\n",
    "    index.append(np.where(common_mz[::-1]==annot_df['Input m/z'][i])[0][0])\n",
    "annot_df['index'] = index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# with open('../Coronal3D_annotation_decoded.pkl', 'wb') as f:\n",
    "#     pickle.dump(annot_df, f, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "groups_show = ['slide1_2_R03','slide3_5_R03','slide3_5_R06']\n",
    "avg_spec_recon = []\n",
    "avg_spec_orig = []\n",
    "for group in groups_show:\n",
    "    with open('/Volumes/Housecats2/3DCoronal/decoded_data_new/coronal3D_latent32_epoch10_{}_avgsp_decoded.pkl'.format(group), 'rb') as fp:\n",
    "        avg_spec_recon.append(pickle.load(fp))\n",
    "    with open('../processed_data/coronal3D_latent32_epoch10_{}_avgspec_orig_zeropad.pkl'.format(group), 'rb') as fp:\n",
    "        avg_spec_orig.append(pickle.load(fp))\n",
    "# avg_spec_recon=np.stack(avg_spec_recon)\n",
    "# avg_spec_orig=np.stack(avg_spec_orig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'slice_order' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/gw/5vpnntfj7dg102qjxmy0d4yh0000gn/T/ipykernel_54545/3073717805.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwhere\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mslice_order\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0;34m'slide3_5_R06'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'slice_order' is not defined"
     ]
    }
   ],
   "source": [
    "np.where(np.array(slice_order)=='slide3_5_R06')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loaded parameters for the experiment...\n",
      "{'project_name': 'coronal3D_latent32_epoch10_slide3_5', 'pixel_num_HR': 4000, 'fid_length_HR': 1048576, 'sw_h': 1428571.4285714286, 'n_basis': 150, 'fid_length_LR': 65536, 'CALIB': [107798997.08328888, 6.277444864073617, 0], 'T': 7e-07, 't_HR': array([0.000000e+00, 7.000000e-07, 1.400000e-06, ..., 7.340011e-01,\n",
      "       7.340018e-01, 7.340025e-01]), 't_LR': array([0.00000e+00, 7.00000e-07, 1.40000e-06, ..., 4.58731e-02,\n",
      "       4.58738e-02, 4.58745e-02]), 'f_HR': array([1.00000000e-01, 1.36239188e+00, 2.72478376e+00, ...,\n",
      "       7.14282990e+05, 7.14284352e+05, 7.14285714e+05]), 'f_LR': array([1.00000000e-01, 2.17982701e+01, 4.35965402e+01, ...,\n",
      "       7.14242118e+05, 7.14263916e+05, 7.14285714e+05]), 'm_HR': array([1.69031641e+07, 1.41101179e+07, 1.19747011e+07, ...,\n",
      "       1.50917845e+02, 1.50917557e+02, 1.50917270e+02]), 'm_LR': array([1.69031641e+07, 3.83958155e+06, 2.16142739e+06, ...,\n",
      "       1.50926481e+02, 1.50921875e+02, 1.50917270e+02])}\n"
     ]
    }
   ],
   "source": [
    "recon_ = subspaceMSI.Subspace(out_dir='../processed_data/')\n",
    "recon_.experimentInfo('../file_dir_coronal_3D_slide3_5.json', if_simu = False, sampling_pattern = 'grid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([137679, 137680, 137681, ..., 184190, 184191, 184192], dtype=int64)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recon_.imaginginfo_LR['R03']['scan_index']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def getSpectraSerFile(ser_file_path,ROI,fid_length,fid_idx,mz_range,mz_axis,zero_pad=False,pad_length=0,signal_size='all'):\n",
    "    \n",
    "    fid_loaded = loadBrukerFIDs(ser_file_path, fid_length, signal_size, fid_idx)\n",
    "    if zero_pad:\n",
    "        pad_length = pad_length - fid_loaded.shape[1]\n",
    "        fid_loaded = np.pad(fid_loaded,[(0,0),(0,pad_length)])\n",
    "    mz, sp = fid2spec(fid_loaded, mz_axis, mz_range)\n",
    "    \n",
    "    return mz, sp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'slide3_5_R07'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slice_order[23]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'F:/3DCoronal/decoded_data/coronal3D_latent32_epoch10_slide3_5_R06_peak_list_decoded.pkl'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/gw/5vpnntfj7dg102qjxmy0d4yh0000gn/T/ipykernel_54545/866859652.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'F:/3DCoronal/decoded_data/coronal3D_latent32_epoch10_slide3_5_R06_peak_list_decoded.pkl'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'rb'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mfp\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m     \u001b[0mpeak_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpickle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'F:/3DCoronal/decoded_data/coronal3D_latent32_epoch10_slide3_5_R06_encoded_pred.pkl'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'rb'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mfp\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0mencodings\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpickle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'F:/3DCoronal/decoded_data/coronal3D_latent32_epoch10_slide3_5_R06_peak_list_decoded.pkl'"
     ]
    }
   ],
   "source": [
    "with open('F:/3DCoronal/decoded_data/coronal3D_latent32_epoch10_slide3_5_R06_peak_list_decoded.pkl', 'rb') as fp:\n",
    "    peak_list = pickle.load(fp)\n",
    "with open('F:/3DCoronal/decoded_data/coronal3D_latent32_epoch10_slide3_5_R06_encoded_pred.pkl', 'rb') as fp:\n",
    "    encodings = pickle.load(fp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'tensorflow'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/gw/5vpnntfj7dg102qjxmy0d4yh0000gn/T/ipykernel_54545/3109933799.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mtensorflow\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mkeras\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mdecoder\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkeras\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodels\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_model\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'../saved_model/coronal3D_latent32_epoch10_decoder'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'tensorflow'"
     ]
    }
   ],
   "source": [
    "from tensorflow import keras\n",
    "decoder = keras.models.load_model('../saved_model/coronal3D_latent32_epoch10_decoder')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 432/432 [33:45<00:00,  4.69s/it]\n"
     ]
    }
   ],
   "source": [
    "recon_.ProcSerFile(ROI='R03',mz_range=(150,1100),mz_index=peak_list['mz_index'],zero_pad=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(6283,)\n"
     ]
    }
   ],
   "source": [
    "mz,intens_mtx,coord = load_data(input_dir+'coronal3D_latent32_epoch10_slide3_5_R03_propagated_decoded.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(6283,)\n"
     ]
    }
   ],
   "source": [
    "mz,intens_mtx_lr,_ = load_data('../processed_data/coronal3D_latent32_epoch10_slide3_5_R03_propagated_orig_zeropad.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# fig,ax=plt.subplots()\n",
    "# ax.pcolorfast((intens_mtx[:,(mz>810)&(mz<814)]/intens_mtx[:,(mz>810)&(mz<814)].max(1).reshape(-1,1)),cmap='hot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# fig,ax=plt.subplots()\n",
    "# ax.pcolorfast((intens_mtx_lr[:,(mz>810)&(mz<814)]/intens_mtx_lr[:,(mz>810)&(mz<814)].max(1).reshape(-1,1)),cmap='hot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mz_HR = np.load('../processed_data/mz_raw_3d.npy')\n",
    "mz_HR = mz_HR[(mz_HR>150)&(mz_HR<1100)]\n",
    "mz_filter = (mz_HR>700)&(mz_HR<900)\n",
    "mz_filter_HR = (mz_HR>788)&(mz_HR<795)\n",
    "mz_filter_HR2 = (mz_HR>844.4)&(mz_HR<844.8)\n",
    "# mz_LR = recon_.parameters['m_LR']\n",
    "# mz_LR = mz_LR[(mz_LR>150)&(mz_LR<1100)]\n",
    "# mz_filter_LR = (mz_LR>700)&(mz_LR<875)\n",
    "# mz_filter_LR2 = (mz_LR>810)&(mz_LR<814)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "cmap = matplotlib.cm.get_cmap('rainbow')\n",
    "norm = matplotlib.colors.Normalize(vmin=0.0, vmax=4.0)\n",
    "colors = ['lightcoral','skyblue','slategrey']\n",
    "plt.figure(figsize=(12,6))\n",
    "for i,color in zip([0,1,2],colors):\n",
    "    plt.plot(mz_HR[mz_filter],avg_spec_recon[i][mz_filter]/avg_spec_recon[i][mz_filter].max(),linewidth=1,label=slice_order[i],c=color)\n",
    "#plt.savefig('../figures/avg_spec_decoded_3d.pdf')\n",
    "plt.figure(figsize=(12,6))\n",
    "for i,color in zip([0,1,2],colors):\n",
    "    plt.plot(mz_HR[mz_filter],avg_spec_orig[i][mz_filter]/avg_spec_orig[i][mz_filter].max(),linewidth=1,c=color)\n",
    "plt.legend(frameon=False,fontsize=12,ncol=1,loc='lower center',bbox_to_anchor=(1.3, .3))\n",
    "#plt.savefig('../figures/avg_spec_raw_3d.pdf')\n",
    "plt.figure(figsize=(6,3))\n",
    "for i,color in zip([0,1,2],colors):\n",
    "    plt.plot(mz_HR[mz_filter_HR],avg_spec_recon[i][mz_filter_HR]/avg_spec_recon[i][mz_filter].max(),linewidth=1.5,label=slice_order[i],c=color)\n",
    "#plt.savefig('../figures/avg_spec_decoded_3d_detail_2.pdf')\n",
    "plt.figure(figsize=(6,3))\n",
    "for i,color in zip([0,1,2],colors):\n",
    "    plt.plot(mz_HR[mz_filter_HR2],avg_spec_recon[i][mz_filter_HR2]/avg_spec_recon[i][mz_filter].max(),linewidth=1.5,label=slice_order[i],c=color)\n",
    "#plt.savefig('../figures/avg_spec_decoded_3d_detail_2_2.pdf')\n",
    "plt.figure(figsize=(6,3))\n",
    "for i,color in zip([0,1,2],colors):\n",
    "    plt.plot(mz_HR[mz_filter_HR],avg_spec_orig[i][mz_filter_HR]/avg_spec_orig[i][mz_filter].max(),linewidth=1.5,label=slice_order[i],c=color)\n",
    "#plt.savefig('../figures/avg_spec_raw_3d_detail_2.pdf')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from tqdm import tqdm\n",
    "with open('../Coronal3D_annotation_decoded.pkl', 'rb') as fp:\n",
    "    annot_df = pickle.load(fp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ser_file_path = recon_.ser_file_path_LR\n",
    "ROI = 'R06'\n",
    "fid_length = recon_.parameters['fid_length_LR']\n",
    "pad_length = recon_.parameters['fid_length_HR']\n",
    "mz_range = (150,1100)\n",
    "mz_axis = recon_.parameters['m_HR']\n",
    "# fid_idx = 592\n",
    "scan_idx = recon_.imaginginfo_LR[ROI]['scan_index']\n",
    "\n",
    "# noise_std_raw = []\n",
    "# noise_std_decode = []\n",
    "# signal_raw = []\n",
    "# signal_decode = []\n",
    "\n",
    "# for i in tqdm(range(scan_idx.size)):\n",
    "#     mz,sp = getSpectraSerFile(ser_file_path,ROI,fid_length,scan_idx[i],(150,1100),mz_axis,True,pad_length)\n",
    "#     decoded_HR = decoder(encodings[i].reshape(1,-1))\n",
    "#     mz,sp_decoded = fid2spec(np.array(decoded_HR),mz_axis,(150,1100))\n",
    "#     noise_std_raw.append(np.std(sp[0][(mz<1100)&(mz>1070)]))\n",
    "#     noise_std_decode.append(np.std(sp_decoded[0][(mz<1100)&(mz>1070)]))\n",
    "#     signal_raw_ = []\n",
    "#     signal_decode_ = []\n",
    "#     for idx in [375,374,383,305,303,302]:\n",
    "#         mz_in = annot_df[annot_df['index']==idx]['Input m/z'].unique()[0]\n",
    "#         signal_raw_.append(sp[0][np.where(mz==mz_in)[0]])\n",
    "#         signal_decode_.append(sp_decoded[0][np.where(mz==mz_in)[0]])\n",
    "#     signal_raw.append(signal_raw_)\n",
    "#     signal_decode.append(signal_decode_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████| 30231/30231 [2:16:06<00:00,  3.70it/s]\n"
     ]
    }
   ],
   "source": [
    "spec_lr = []\n",
    "spec_decode = []\n",
    "\n",
    "for i in tqdm(range(scan_idx.size)):\n",
    "    mz,sp = getSpectraSerFile(ser_file_path,ROI,fid_length,scan_idx[i],(810,814),mz_axis,True,pad_length)\n",
    "    decoded_HR = decoder(encodings[i].reshape(1,-1))\n",
    "    mz,sp_decoded = fid2spec(np.array(decoded_HR),mz_axis,(810,814))\n",
    "    spec_lr.append(sp)\n",
    "    spec_decode.append(sp_decoded)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 80, 4597)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.stack(spec_lr,1).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x15a1e2eabb0>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots()\n",
    "ax.pcolorfast((np.stack(spec_lr,1)[0]/np.stack(spec_lr,1)[0].max(1).reshape(-1,1)),cmap='magma')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(30231,)"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.stack(spec_decode,1)[0].max(1).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x15a1e2b98b0>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots()\n",
    "ax.pcolorfast((np.stack(spec_decode,1)[0]/np.stack(spec_decode,1)[0].max(1).reshape(-1,1)),cmap='magma')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "noise_stats = {'noise_std_raw':noise_std_raw,'noise_std_decode':noise_std_decode,'signal_raw':signal_raw,'signal_decode':signal_decode}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with open('../noise_stats_slide3_5_R06.pkl', 'wb') as fp:\n",
    "    pickle.dump(noise_stats, fp, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x23c594c8f40>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter((np.stack(signal_raw)[:,1,0]/noise_std_raw),\n",
    "            (np.stack(signal_decode)[:,1,0]/noise_std_decode),s=1,c='grey')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "snr_raw = pd.DataFrame({'0':np.stack(signal_raw)[:,0,0]/noise_std_raw,'1':np.stack(signal_raw)[:,1,0]/noise_std_raw,\n",
    "                       '2':np.stack(signal_raw)[:,2,0]/noise_std_raw,'3':np.stack(signal_raw)[:,3,0]/noise_std_raw,\n",
    "                       '4':np.stack(signal_raw)[:,4,0]/noise_std_raw,'5':np.stack(signal_raw)[:,5,0]/noise_std_raw,'type':['raw']*len(noise_std_raw)})\n",
    "snr_decode = pd.DataFrame({'0':np.stack(signal_decode)[:,0,0]/noise_std_decode,'1':np.stack(signal_decode)[:,1,0]/noise_std_decode,\n",
    "                       '2':np.stack(signal_decode)[:,2,0]/noise_std_decode,'3':np.stack(signal_decode)[:,3,0]/noise_std_decode,\n",
    "                       '4':np.stack(signal_decode)[:,4,0]/noise_std_decode,'5':np.stack(signal_decode)[:,5,0]/noise_std_decode,'type':['decode']*len(noise_std_decode)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "snr = pd.concat((snr_raw,snr_decode))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axes = plt.subplots(2,3,figsize=(15,5))\n",
    "ax = axes.ravel()\n",
    "for i in range(5):\n",
    "    sns.histplot(x=str(i),hue='type',data=snr,log_scale=True,element='poly',palette=['grey','salmon'],ax=ax[i],legend=False)\n",
    "\n",
    "fig.savefig('../figures/snr_dist.pdf')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mz,sp = getSpectraSerFile(ser_file_path,ROI,fid_length,scan_idx[4129],(150,1100),mz_axis,True,pad_length)\n",
    "decoded_HR = decoder(encodings[4129].reshape(1,-1))\n",
    "mz,sp_decoded = fid2spec(np.array(decoded_HR),mz_axis,(150,1100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x15a26f4c8b0>]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mz_HR = recon_.parameters['m_HR']\n",
    "mz_HR = mz_HR[(mz_HR>150)&(mz_HR<1100)]\n",
    "mz_filter = (mz_HR>690)&(mz_HR<880)\n",
    "mz_filter_HR = (mz_HR>810)&(mz_HR<814)\n",
    "mz_filter_HR2 = (mz_HR>813.4)&(mz_HR<813.8)\n",
    "mz_LR = recon_.parameters['m_LR']\n",
    "mz_LR = mz_LR[(mz_LR>150)&(mz_LR<1100)]\n",
    "mz_filter_LR = (mz_LR>700)&(mz_LR<875)\n",
    "mz_filter_LR2 = (mz_LR>810)&(mz_LR<814)\n",
    "\n",
    "\n",
    "plt.figure(figsize=(8,3))\n",
    "plt.plot(mz[mz_filter],sp[0][mz_filter]/sp[0][mz_filter].max(),linewidth=1.5,c='gray')\n",
    "plt.plot(mz[mz_filter],sp_decoded[0][mz_filter]/sp_decoded[0][mz_filter].max(),linewidth=1.5,c='salmon')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xxFGeVNJ5ffbu3cvy5cuHZRs4NzGf1tBQyCZ4Bw8epLGx0RFmv+aapnExCSqSzrpvNlDhcDhv6RsxQuF/UVXhGHRHaw9nplc/M9v53CLz0UcfZRxjxrEsLTK7KG5RyhbuXuvRE40ikA7xOx0fhZmeRDJTGAe7Bu68m61le3u7r//NJ8MlFCtWrPBsWABC8TgL6eeu1CnH8aZQ5HOLvJIXCrPiFqLwhspgMyG9FnN5mY8NDQ08/PDD9PZ6r7kwrahs/dZsFa+1tZUPP/ww4zfThP/000+tsOPHjzv64pOb9vM/iSL702b3YEJxIwNcRyzTyjJslmTKGX/Pnj089NBDGZaQl7iZ3/PZavol33VNSsnhw4ep9DEV3inm+jUcg3RcZzN9+Zz2XvJCYV4Md+F1dXWxevXqYbU03N2f7du3p2/0LBOupJTW7+4brba2loGBActznW17fbf1AOkZlenZfPqNadoBb731FtFo1NH1kFLS2NjIypUrrfMI4N1337W+T2vXuz2hWPp6egmFlJIbiXMLsQzHn2lRuPO7YcMGkslk5miI5aNw7RjWG+Wb9JIacPqBhsNnkW+hMLsXd6LnZdQgz5i3+6m8un5m+lpaWqxRpjOl5IVCS6U4By1DEGpra9mxY8ewjYbs27cva7h1o5s+CltFrqur8xQKe0uaSCRYtGhRhplt77aYrVHTJ0289957tLZ6DydmM9efe+65jDBz5aamaWBUypbWViut9lEde/rtn91CYeYrkXDmN6ylmE0ioxylh1DUHGngQlKc055++tqqVat44YUXMvKRL0JIqtDyKhSaplnXvtwIG8xG+vjjj+nq6kLTnHXeLtr2a56v61HyQjGns4V/oIfQqROOcLOfNlxdklwP9TUrvL0Q7Q9usd9cPT091j6UsVgsY5TCRNM0pJQ072vgUtLHb9q0yWpJTrd9FUiSySTr169n+fLllgUyEI+zfv16wPk8CXv67ZaV+/qnhcJpfX2xt5O76EdrSXd/otEoScNR5+6rm5OQ4jZH3q5duwbdt0JrOoTsdS5XP3HiBL/61a987TD2dfq5n5681qnB1niYuMvwySef5Nlnn6WzM10v7EKRzbo+U0peKCb3633asKsCmF2Swfr4+cSrglqFZNwgJ0+dZP/+/SQSCde8hRTJZBIpJW+++aYVHovFMjzf9mO2bt1K+UD+8mi2ZiF0k3jz5s0cPXrUMURXV1fn8GeAtxVh/9zb20vKiJdw+SjOTek3fNK2D4Z9WbzbR2EKh2mZDHajgD6Kk1r+NMl/f8YRvnfvXjo7O9m9e3fGMc7jJRcbYpwvodA0zTGEbv2XR3x7GbgtZfv11/r7eJBTXIl+7RcvXnymSS19oTCH8dxj22bLVUihiMViHD58mPb2ds+ZhqtXrzbSkC7+P/zhDyxevNhK4yg0jhw5wmOPPcaqVascFkR7eztr1671/P+33nrLl9Xgd5ZJtXG2yxh8uPm3v/2t47u9G2K3FuLxOFJK2traHN2bZNI98qK/t7W1cfjwYVauXElTU5OV7pOnTjm6TOaojPlfdifoz3/+c2vDYstnYaap3dklMwUml2/DPiM15sPvpWkaS5YscU66c7FkyRKWLl2aEe4uKz9lZ7dMyvr0RtMUinxMECv8I4YKxMqVK5kxYwZzk7q6T2s7RldXF1u3btVb2XK9x1eonZF6enp47LHH9P+eNm3QuI8++ih3G5/N6mj6Li4mwUL6eZ5qPhkYyJgoVVtb6/geCUfAaH3NxVWDVfHT7XpUuY4Urnc3dvPWXjHb29tpb293OOFAH/X44IMPGDt2LDU1NdawcWNjIxsbM+eHSPQHPd955536d7PrkUiwbt06tmzZ4oi/f/9+Zs6cycsvv0w0GuXP/2wBowENwcmTJxkzZgwHDhywulFuH1EymWTt2rVcc801jB49mtraWm4yfovFYqxfvx5N07jlllushW51dXXcfvvthEIhOjs7aW5uprm5mfnz59PQ0EAikeC1115j4cKFvPHGG551032Nb0EXpoirTGagi1w1kieWL2fBggXMmjWLo4a1kU+3bkkKRTweZ8+ePezZs4e5RtgENN58800OHToEpM3D7u5uNE1DCEE0GqWzs9Nalr1gwQImT56MlJKdO3cye/ZsqqqqrP/p6+tDSsnSpUuJRCJ88YtfZMaMGUSjUX73u99Z8ewToXLjrAYXGIU9iRSfuIpjFBq9htG3YMECysrK+JNDu2Gfbib7mWQ2kdNbMPSZh0ttMBP00UcfpaamhilTpjDRCHMLhJn7483NbG3W50KMGzeO/2rN+/CmtbU1Y9l5PJGk3iUSoLewmqZZfpTf/mYxPwCSWoonnniCG2+80RBayY3ESHS2sXPnTiZOnMiUKVNobGzkww8/JBaLcemllzrOHe/vZ7OxPqa2tpaLSDCPBNupZt68eaxZs8Z6KDXoow8vvfSS9f3FF18cJJeZ13iaMQpS7br1x7pGR95++21qamqyTqY7U3wLhRDie8CPgCnAHuAHUkrPbXmEEDcBjwOXAs3Aw1LKZ7ziD4VsZn4Z0hIJgPNIcR+9rGj5lIcffphrr72WvXv3Osz6zZs3s3DhQg4ePMjq1aupqanhG9/4Bm+88QbhcJgdO3Y4/mPVqlU50zaHZNZwrxtguhHfXaiXkOAO+llGNc1EGDVqFJdffjmJ11cMej47E0hxoYdQmP837rzzoCuzZYu6/sFszby2vQujD/Xu3r2b3bt3c7VHmrKlu7Oz07Ny2+WqtbWVRYsWAfBNI1/Rnij2anwpcY4SYd++fY41Le7zb968mfLyciagcSNxOPIxPztylEmTJnHfffdZzs0dO3bQ0NDgSNOBA/sdOfkL+q2z2xsQE9Nq8YuXGI9BUkOSRiO/2UqisbGRKcbnfG4l5MtHIYS4G/gF8DNgHvA+8KYQYrpH/AuBNUa8ecC/Ak8KIe7KR6LNYTs77vbPvEHmJHqJxWJs2rTJJhL6Po979+5l0aJFvPDCC5QhmdLYwKsvr2T37t0ZIpGNS0jwN2T3gbgvrPndXbhTjOK8/NrrHOEXGT6Cccbvc+bMcfzumHHpIRujbHHsMb761a9an+fPn5/1WPf1rDTe//7v/i5r/EkegiRcOZ7mGU/HXblN83oezn52RZbncUaQ/DkDfJ8eQkg2btxo/Wbmxx4/Ho8z33Xe1tZW3n33XTZseM8QcZnhvDTLcvTo0Y5w+zWrqalhwbSJPMgpjh3KdHRXozlSM3nyZFvevJlpa4i6bLUsbDtXyLo26VIfbLjcD36dmT8Elkkpl0gpG6SU3wdagO96xL8PaJZSft+IvwRYDjxwRqk1mDhxInfccQcLFy60ws61NnnVL5Jpcl9JAnuB/BdiPEiUfybquLj3jqvmJmLUHHR6vyeR4kFOUeWowpLPT5rAHfQzjZTjPCZ34PRmzzTSM9PD4ph2wQX8048e4Prrr+eai//EGu6MIZgxYwZlZWWOxxFeRJJIlo1tL6s2q5nkXFuav0yMSiQCybzPz+Eq01m5a5tl1dhv6mumTuZLlZnyJnt7uP+7mcUegawzCyd6tGtuITrfuD5jPjfW9n/p8zktNclU47x/SR81NTWAblWazLAJUgTJ36NbTZW2s4wjxReyOG0/er+WB4jyLfr4mlGO9i7p9cQAyWWuLonZFZg1axb33HMPVx3XLdyv0U9NTQ133XUXt912G7fRzw/o4V56OccQjO/81bes84SQTPcoXw3TupPcbqtjuuNSj2uOztjr5tixYzPyORRELm+vEKIc6AO+KaX8D1v4U8BlUsqbshyzCdgtpfwftrC/AFYA1VJKz8711VdfLe3zC7KhNR4g9fJzyGQCkc2jG4mAyzmVKisnkUpR6VqFGCc90cVOH4Iw6ZYLIBWJEE4mkSKEcK/ZQB+SFa7x/rgIEYlECCXS6RxAb0HLERktbjbi4QjlMj3paThJAGVZwlPhCEJLEXLVnwH01sd+TZPlFSTjMcpwCoQsK0cTglA8lmETaWS2Ykn065zR4paVEUumqHCViRYKI6VG2L0GJxIhkdL0a+rKq5bl/DGgPBxBpDJFPomz/54Ayioq9bKylbmsrEKEQpBKQaxws4VjZLk+lVVE7r0fMXZczuOFENuklBk9Rz8+ivHo5eu2XVqBr3gcMxlwj+m1Gv83Ht0asSfuXuBegOnTs/ZmHIjRYwhd8gUIR0i2tRA6Yph2541HjJuAGD+ReDxOZJuxj+TEyZTNvIgyLUWs8SBlXfowW+iq66iQEtnyKXR1WAUo5n+RCmNYL3VwL+G+XsT5MyibNgN5ohM62xHnz0Du+AjOGQ0VlZTNmo1MxJHbjeGwMWMRk6dSec65EA6jHWyA7k6oHkXVpXMR4QjyZBcMDCCPHISx4whdcZU+TphMor2v70PQO2ka1dMuQPT3wUC/HhcI3XALVFbrFTKVRNtWB709iEu/AOWVaLvqEeZ6iK/fA/EY2qF9gECcNw7t/Q3p6zn1AsQFFyKbjyKPNTmudcU1N0Akgjx1Evr7IBxGnuiibNZsCIWtdMbGTaRCQPWs2SBBa9gJvb2E5s2nXAh9eLKiAvbugp5TJGfNoXz8RMLmfhP17+t/OPV8UpFyIpEwfb19VJ7oRMQGEBdeRNmYsXSfPMmE6irYs0NP+/QaxJRpVEkJIoT2xw8gEUfMupjIeROQA/3IjjZEeQXyk8OIufMJVVUjkgkS0VOUGY5hOWkKcsoFVJWX69f/jx8AkJg4hcj5MwhHImg769N1ZO41EArT13JcnwPS9hnynNGE5lxBSACRMmRvFLlrG+KyeYSqqq0xYBkbQO7+o57f6lGErrgKrb6O0HU3wblj0D56H6SGmDAJMXEK2oa302V14UUkzxsPx5r0axc9BeEwqcoqRCIBs2YjD+1D9EatOk4oBJVpi+h08GNRTAWOAzdJKTfZwv83cI+UcnaWYw4Az0kpF9nCvgRsBKZKKT2nwfmxKBQKRWHwsij8+Cg60C2+Sa7wScBnmdHBCM8WP2mcT6FQlBA5hUJKGQe2Abe6froVfVQjG3Ue8esH808oFIpg4nfU43Hg20KI7wghPi+E+AUwFXgGQAjxrBDiWVv8Z4BpQognjPjfAb4NPJrHtCsUimEip4/CiqhPuPon9AlXHwP3mz4LIcQGACnlzbb4NwH/RnrC1UN+JlwJIdqB4u+UO3TGc3Z1q1R+RyYzpJQT3IG+hUIxOEKI+mxOoJGKyu/ZRcmvHlUoFIVHCYVCociJEor88ZtiJ2CYUfk9i1A+CoVCkRNlUSgUipwooVAoFDlRQuGBECIshPiJEOKIEGLAeP+pECJi/F4mhHhICLFLCNErhGgRQqxw79EhhKgQQjwphOgw4r0mhDi/OLnyJld+jTg/EULsM/LRLYRYJ4S43nWewOfXT15d8RcLIaQQ4gFXeODzmjfMh6aol/MFPAh0AV8FZgJfA7qB/2X8PgZ4F7gbmA3MBzYDe4GI7TxPo084uxW4EtgA7ADCxc7jUPJrxPkW8GWgBn0i3VLgFDCplPLrJ6+2uAuB7egLIx9w/Rb4vObtmhU7AUF9Aa8Dy11hy4HXBznmEvTdQy43vo9B3/LiHlucC9C3PVhQ7DzmIb/nGvldUEr59ZtXYIYhEJ8HmuxCUSp5zddLdT282QLcIoSYAyCEuAT4U/Qt/rw413jvNt6vQt/35R0zgpTyGNAAXE+wGFJ+jQ2N7kW3KHYYwaWS35x5NbohLwA/lVI2ZDlHqeQ1L5TkLtzDxEPAaGCvECKFfq3+n5Ty19kiGzfOY8B/SinNp+NMRl+i714j0Gr8FiR85VcI8d+APwDV6BsQ3SqlNDc1KpX8+snrj4EOKeXTHucolbzmBSUU3twN/DXwl+i7js8FfiGEOCKldDz9xmh9ngM+h97fLUX85vc947fxwH8HXhJCXCcH2YwogAyaVyHEzeirnecWJ3kBpNh9n6C+gGPAP7rC/gU45AqLAP8B7AMmu377U/Q+/ARX+B7gx8XO4+nkN8txB0k7eEsiv7nyCvxfdF9D0vaS6BbEp6WU13y9lI/Cm2rI2Fs+hW1IWQhRBrwIXAHcIqV07/i1DX2/1Vttx5yP7hzz2vSnWOTMrwch0vu5lkp+c+X11+hlOtf2akbfNuHLRpxSyWt+KLZSBfUFLAM+BW5HH0K7E2gHHjN+jwCr0L3iV6L3S81Xle08Txvn+Qr6M07eI4BDaD7yey7wU+BaYDq6M+936Bs/X1FK+c2VV49jmsg+PBrovObtmhU7AUF9oTu7nkDfRKcfaER/AFKl8ftMsB4k4n5923aeCuBJoBP9sQf/CVxQ7PydRn6rgVfRW9aY8b4auNZ1nsDnN1dePY7JJhSBz2u+XmpRmEKhyInyUSgUipwooVAoFDlRQqFQKHKihEKhUORECYVCociJEgqFQpETJRQKhSInSigUCkVOlFAoFIqc/H8HZGyv9QdLgQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 288x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4,2))\n",
    " \n",
    "plt.plot(mz[mz_filter_HR],sp[0][mz_filter_HR]/sp[0][mz_filter_HR].max(),linewidth=1.5,c='gray')\n",
    "plt.plot(mz[mz_filter_HR],sp_decoded[0][mz_filter_HR]/sp_decoded[0][mz_filter_HR].max(),linewidth=1.5,c='salmon')\n",
    "plt.savefig('../figures/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x22c1884b1c0>]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4,2))\n",
    " \n",
    "plt.plot(mz[mz_filter_HR],sp[0][mz_filter_HR]/sp[0][mz_filter_HR].max(),linewidth=1.5,c='gray')\n",
    "plt.plot(mz[mz_filter_HR],sp_decoded[0][mz_filter_HR]/sp_decoded[0][mz_filter_HR].max(),linewidth=1.5,c='salmon')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "scms",
   "language": "python",
   "name": "scms"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}