file_reader.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b82150c7-ad1b-45ee-bb90-18f2ccafbcfe",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from scipy import signal\n",
    "from scipy.stats import poisson\n",
    "import matplotlib.pyplot as plt\n",
    "import warnings\n",
    "import h5py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f307c7d6-ace9-4667-8667-3846baaac66d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "frames\n",
      "phys_par\n",
      "unit_par\n"
     ]
    }
   ],
   "source": [
    "MEMBRANE_POTENTIAL_RECORDINGS_DIR = \"/global/cfs/cdirs/m2043/balewski/neuronBBP-data_67pr/bbp153/bbp153.cellSpike.data_46.h5\"\n",
    "\n",
    "file = h5py.File(MEMBRANE_POTENTIAL_RECORDINGS_DIR, 'r')\n",
    "\n",
    "dataset_names = list(file.keys())\n",
    "\n",
    "# Print the dataset names\n",
    "for name in dataset_names:\n",
    "    print(name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0403620b-b34c-4cca-a7a8-0b6b87791c78",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8000, 67)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "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": [
    "dataset = file['frames']\n",
    "print(dataset[0].shape)\n",
    "data = dataset[6000][:,0]\n",
    "plt.plot(data)\n",
    "\n",
    "# Display the plot\n",
    "plt.show()\n",
    "\n",
    "data = dataset[6000][:,66]\n",
    "plt.plot(data)\n",
    "\n",
    "# Display the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "da7583e3-12b2-4b92-9a7e-ee86d8271c9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[ -9750,  -9750,  -9750, ...,  -9750,  -9750,  -9750],\n",
       "        [ -9760,  -9754,  -9758, ...,  -9750,  -9754,  -9750],\n",
       "        [ -9767,  -9759,  -9765, ...,  -9750,  -9758,  -9750],\n",
       "        ...,\n",
       "        [ -6092,  -2812,  -6094, ...,  -8842,  -2805,  -9282],\n",
       "        [ -6092,  -2812,  -6094, ...,  -8842,  -2805,  -9282],\n",
       "        [ -6092,  -2812,  -6094, ...,  -8842,  -2805,  -9282]],\n",
       "\n",
       "       [[ -9750,  -9750,  -9750, ...,  -9750,  -9750,  -9750],\n",
       "        [ -9756,  -9779,  -9755, ...,  -9750,  -9782,  -9750],\n",
       "        [ -9761,  -9805,  -9760, ...,  -9750,  -9813,  -9750],\n",
       "        ...,\n",
       "        [-12242, -12710, -12240, ..., -11093, -12747, -10935],\n",
       "        [-12242, -12710, -12240, ..., -11093, -12747, -10935],\n",
       "        [-12242, -12710, -12240, ..., -11093, -12747, -10935]],\n",
       "\n",
       "       [[ -9750,  -9750,  -9750, ...,  -9750,  -9750,  -9750],\n",
       "        [ -9751,  -9765,  -9751, ...,  -9750,  -9767,  -9750],\n",
       "        [ -9753,  -9779,  -9753, ...,  -9751,  -9784,  -9751],\n",
       "        ...,\n",
       "        [-11771, -12059, -11770, ..., -11142, -12712, -11041],\n",
       "        [-11771, -12059, -11770, ..., -11142, -12712, -11041],\n",
       "        [-11771, -12059, -11770, ..., -11142, -12712, -11041]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[ -9750,  -9750,  -9750, ...,  -9750,  -9750,  -9750],\n",
       "        [ -9761,  -9767,  -9759, ...,  -9750,  -9767,  -9750],\n",
       "        [ -9769,  -9783,  -9766, ...,  -9750,  -9785,  -9750],\n",
       "        ...,\n",
       "        [-11764, -12483, -11762, ..., -10582, -12746, -10436],\n",
       "        [-11764, -12483, -11762, ..., -10582, -12746, -10436],\n",
       "        [-11764, -12483, -11762, ..., -10582, -12746, -10436]],\n",
       "\n",
       "       [[ -9750,  -9750,  -9750, ...,  -9750,  -9750,  -9750],\n",
       "        [ -9752,  -9773,  -9751, ...,  -9750,  -9775,  -9750],\n",
       "        [ -9754,  -9793,  -9753, ...,  -9751,  -9800,  -9751],\n",
       "        ...,\n",
       "        [-12113, -12511, -12112, ..., -11327, -12744, -11205],\n",
       "        [-12113, -12511, -12112, ..., -11327, -12744, -11205],\n",
       "        [-12113, -12511, -12112, ..., -11327, -12744, -11205]],\n",
       "\n",
       "       [[ -9750,  -9750,  -9750, ...,  -9750,  -9750,  -9750],\n",
       "        [ -9751,  -9762,  -9751, ...,  -9750,  -9763,  -9750],\n",
       "        [ -9752,  -9773,  -9752, ...,  -9751,  -9777,  -9751],\n",
       "        ...,\n",
       "        [-11781, -12234, -11779, ..., -10912, -12737, -10780],\n",
       "        [-11781, -12234, -11779, ..., -10912, -12737, -10780],\n",
       "        [-11780, -12234, -11779, ..., -10912, -12737, -10780]]],\n",
       "      dtype=int16)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2e04105c-574a-42cd-bf0a-5139c0faa51d",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = file['frames']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "eacc1807-4491-4177-a856-6f6df4f6f2cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "        [ -9760,  -9754,  -9758, ...,  -9750,  -9754,  -9750],\n",
       "        [ -9767,  -9759,  -9765, ...,  -9750,  -9758,  -9750],\n",
       "        ...,\n",
       "        [ -6092,  -2812,  -6094, ...,  -8842,  -2805,  -9282],\n",
       "        [ -6092,  -2812,  -6094, ...,  -8842,  -2805,  -9282],\n",
       "        [ -6092,  -2812,  -6094, ...,  -8842,  -2805,  -9282]],\n",
       "\n",
       "       [[ -9750,  -9750,  -9750, ...,  -9750,  -9750,  -9750],\n",
       "        [ -9756,  -9779,  -9755, ...,  -9750,  -9782,  -9750],\n",
       "        [ -9761,  -9805,  -9760, ...,  -9750,  -9813,  -9750],\n",
       "        ...,\n",
       "        [-12242, -12710, -12240, ..., -11093, -12747, -10935],\n",
       "        [-12242, -12710, -12240, ..., -11093, -12747, -10935],\n",
       "        [-12242, -12710, -12240, ..., -11093, -12747, -10935]],\n",
       "\n",
       "       [[ -9750,  -9750,  -9750, ...,  -9750,  -9750,  -9750],\n",
       "        [ -9751,  -9765,  -9751, ...,  -9750,  -9767,  -9750],\n",
       "        [ -9753,  -9779,  -9753, ...,  -9751,  -9784,  -9751],\n",
       "        ...,\n",
       "        [-11771, -12059, -11770, ..., -11142, -12712, -11041],\n",
       "        [-11771, -12059, -11770, ..., -11142, -12712, -11041],\n",
       "        [-11771, -12059, -11770, ..., -11142, -12712, -11041]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[ -9750,  -9750,  -9750, ...,  -9750,  -9750,  -9750],\n",
       "        [ -9761,  -9767,  -9759, ...,  -9750,  -9767,  -9750],\n",
       "        [ -9769,  -9783,  -9766, ...,  -9750,  -9785,  -9750],\n",
       "        ...,\n",
       "        [-11764, -12483, -11762, ..., -10582, -12746, -10436],\n",
       "        [-11764, -12483, -11762, ..., -10582, -12746, -10436],\n",
       "        [-11764, -12483, -11762, ..., -10582, -12746, -10436]],\n",
       "\n",
       "       [[ -9750,  -9750,  -9750, ...,  -9750,  -9750,  -9750],\n",
       "        [ -9752,  -9773,  -9751, ...,  -9750,  -9775,  -9750],\n",
       "        [ -9754,  -9793,  -9753, ...,  -9751,  -9800,  -9751],\n",
       "        ...,\n",
       "        [-12113, -12511, -12112, ..., -11327, -12744, -11205],\n",
       "        [-12113, -12511, -12112, ..., -11327, -12744, -11205],\n",
       "        [-12113, -12511, -12112, ..., -11327, -12744, -11205]],\n",
       "\n",
       "       [[ -9750,  -9750,  -9750, ...,  -9750,  -9750,  -9750],\n",
       "        [ -9751,  -9762,  -9751, ...,  -9750,  -9763,  -9750],\n",
       "        [ -9752,  -9773,  -9752, ...,  -9751,  -9777,  -9751],\n",
       "        ...,\n",
       "        [-11781, -12234, -11779, ..., -10912, -12737, -10780],\n",
       "        [-11781, -12234, -11779, ..., -10912, -12737, -10780],\n",
       "        [-11780, -12234, -11779, ..., -10912, -12737, -10780]]],\n",
       "      dtype=int16)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x[:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "aeb085e1-d909-45e0-adaf-f7b6d5003df0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "expl_rel_var\n",
      "expl_rel_var_sum\n",
      "noise_var\n",
      "num_frames\n",
      "num_pcs\n",
      "num_probes\n",
      "num_samples\n",
      "pc_componentsT\n",
      "pc_std\n",
      "pc_val_range\n",
      "z_mean\n",
      "z_std\n"
     ]
    }
   ],
   "source": [
    "TEST = \"/global/cfs/cdirs/m2043/balewski/neuronBBP-pca_analysis/May1/pca.varThr99_bbp134.h5\"\n",
    "file = h5py.File(TEST, 'r')\n",
    "\n",
    "dataset_names = list(file.keys())\n",
    "\n",
    "# Print the dataset names\n",
    "for name in dataset_names:\n",
    "    print(name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "582d2c39-c245-4990-a168-023c6dc81d38",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4528.69917636 5353.79567862 4491.26067594 4549.55985618 3381.89771566\n",
      " 4550.77958526 3693.52652402 4551.96942359 4163.64659275 4547.51247072\n",
      " 3484.43648852 4580.9763843  4182.48108762 4543.0729031  4060.93536543\n",
      " 4551.41824388 3618.1039918  4545.27589704 3157.71377921 4595.92310797\n",
      " 4300.11212533 4559.28412043 4007.51274562 4558.83348537 3930.9752029\n",
      " 4547.2695356  3383.04900462 4552.42760659 3674.64581031 4549.32044929\n",
      " 3564.58346519 4547.34296939 3845.96537726 4547.46107827 3089.53787798\n",
      " 4755.94718105 4402.56497472 4580.34620988 4345.00444256 4572.64684214\n",
      " 4297.08707477 4545.4897453  3960.20597853 4552.27155763 3948.91596573\n",
      " 4562.01062633 3841.34561666 4549.8273026  3732.49828091 4551.7786858\n",
      " 3356.89405985 4550.27016441 3652.28758432 4552.29560442 3461.31867316\n",
      " 4545.88603666 3610.42660922 4544.78252567 3648.09639857 4541.0258344\n",
      " 3605.78618188 4546.6023344  3540.83555623 4551.22271771 3542.9784779\n",
      " 4546.80596385 2642.0518418 ]\n",
      "[[ 1.26213594e-01 -1.06674698e-01 -1.55246636e-02  2.36969285e-01\n",
      "   1.11971166e-01 -6.21917270e-02  1.63383478e-02  4.72962263e-02\n",
      "   8.89177695e-02  3.89717043e-03 -1.20673936e-01  2.70678429e-02\n",
      "  -2.86255507e-02 -6.01873186e-02]\n",
      " [ 1.27945787e-01 -5.77527025e-02  6.65776451e-03  2.63475198e-01\n",
      "   9.00948189e-02 -4.39102625e-02 -6.49532705e-02  7.05338627e-02\n",
      "   7.76646447e-02 -6.34570459e-02 -3.29746188e-01 -4.52438156e-02\n",
      "   1.29930150e-02  8.38488728e-02]\n",
      " [ 1.27168075e-01 -1.06991540e-01 -1.58335038e-02  2.31309791e-01\n",
      "   1.07976590e-01 -5.91324843e-02  1.64713782e-02  4.42644703e-02\n",
      "   8.30907267e-02  4.18259963e-03 -1.10267892e-01  2.53509604e-02\n",
      "  -2.66856122e-02 -5.62727084e-02]\n",
      " [ 8.35067455e-02  1.16857803e-01  4.41563621e-02  4.86652007e-02\n",
      "  -7.12446152e-02  1.45616677e-02 -5.63887185e-01  7.42184721e-01\n",
      "   1.82882560e-02  1.45342578e-01  2.75927305e-01  3.73062076e-02\n",
      "  -2.08447332e-02 -2.96703729e-02]\n",
      " [ 1.35447441e-01 -8.05883679e-02  6.06881937e-02 -2.26955326e-01\n",
      "  -3.55064824e-02 -8.36527322e-03 -2.58557503e-02  2.15588538e-02\n",
      "   4.09113297e-02 -1.02892344e-02 -9.31381944e-02  1.11404253e-02\n",
      "  -1.00930699e-02 -1.76109978e-02]\n",
      " [ 1.06631300e-01  1.64245574e-01 -1.18055210e-01 -6.34930770e-02\n",
      "   1.30870203e-01 -1.50817230e-01  5.10107727e-02  4.87506817e-02\n",
      "  -7.71669627e-02 -1.38186335e-01  3.48287556e-02 -1.44419709e-01\n",
      "  -2.50909309e-02 -2.18055228e-01]\n",
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      "  -1.85644602e-02  1.79824448e-02  1.68350405e-02 -2.80410345e-02\n",
      "  -3.99693319e-02  1.42512674e-02  1.07071823e-01  8.89045728e-04\n",
      "   9.36173616e-03  1.38415941e-02]\n",
      " [ 1.10570688e-01  1.55556337e-01 -1.45929063e-01  1.46334694e-02\n",
      "  -1.37225738e-01  6.16085169e-02  8.18475227e-02  1.77810209e-04\n",
      "   1.86042183e-01  1.17456325e-01 -2.36693385e-02  1.31215189e-01\n",
      "  -1.38160044e-02  9.81985591e-02]\n",
      " [ 1.36774012e-01 -1.08207315e-01 -2.45675120e-02  1.52552003e-01\n",
      "   4.78855938e-02 -1.27557924e-02  2.01218531e-02 -2.47365686e-03\n",
      "  -5.74758803e-03  8.41858604e-03  4.68845266e-02 -2.06442934e-03\n",
      "   3.72599675e-03  6.97387175e-03]\n",
      " [ 8.82347817e-02  1.33504379e-01  2.51232075e-01  1.16825544e-02\n",
      "   1.47075791e-01  2.99332057e-01  8.23851979e-02  3.67960209e-02\n",
      "   1.57937254e-01 -3.17902359e-01  1.11522312e-01  1.55488627e-02\n",
      "  -3.29728892e-01  1.07256650e-01]\n",
      " [ 1.43764101e-01 -9.37588614e-02  1.94362525e-02 -1.11587771e-01\n",
      "  -3.10079691e-02  9.51198422e-03 -4.01896564e-03 -7.82099068e-03\n",
      "  -1.14709834e-02  6.38929026e-04  2.38515949e-02  4.49731137e-05\n",
      "   3.57124400e-03  5.38104585e-03]\n",
      " [ 1.10736501e-01  1.30393919e-01 -1.03783336e-01  1.11328055e-01\n",
      "  -2.18836974e-01  2.06612862e-01 -1.12411662e-01 -1.15220816e-01\n",
      "  -2.30107337e-01 -6.72369566e-02 -7.61103939e-02  4.04610411e-03\n",
      "  -8.17244520e-02 -2.67800068e-01]\n",
      " [ 1.35178910e-01 -1.08413201e-01 -1.77564788e-02  1.69240082e-01\n",
      "   6.88690296e-02 -3.03435044e-02  1.73983969e-02  1.59043430e-02\n",
      "   2.91795038e-02  6.69073543e-03 -1.52933957e-02  9.08450549e-03\n",
      "  -8.10797230e-03 -1.75385686e-02]\n",
      " [ 1.09101328e-01  1.63346175e-01 -1.40730605e-01 -3.63219806e-02\n",
      "   8.21730995e-03 -7.48292087e-02  1.08710461e-01  5.71340806e-02\n",
      "   1.30735613e-01 -2.99996109e-02  5.75034486e-02 -2.11894181e-01\n",
      "   1.01314071e-01  7.01134370e-02]\n",
      " [ 1.40182759e-01 -1.06037835e-01 -3.12556329e-02  9.68942595e-02\n",
      "   6.36140799e-03  1.73392618e-02  2.29964645e-02 -3.29311916e-02\n",
      "  -5.95662157e-02  1.11750186e-02  1.38817975e-01 -1.62454640e-02\n",
      "   1.96947192e-02  3.81135731e-02]\n",
      " [ 1.00309532e-01  1.54656170e-01 -2.54235770e-02 -7.79785753e-02\n",
      "   2.81966338e-01 -7.03743546e-02 -1.29444601e-01 -9.14437870e-02\n",
      "  -2.07155482e-01  1.49455841e-01 -9.41174650e-02  3.76368380e-01\n",
      "  -9.35335957e-03  3.68551323e-01]\n",
      " [ 1.43639929e-01 -9.09720585e-02  1.45797205e-03 -1.19275722e-01\n",
      "  -3.91301637e-02  2.37718032e-02  1.92941817e-02 -3.26832290e-02\n",
      "  -3.55056327e-02  2.15894917e-02  1.11341202e-01  1.48726302e-02\n",
      "   2.77801550e-03 -3.31221710e-03]\n",
      " [ 8.48522955e-02  1.31935186e-01  3.02627257e-01  6.36435055e-02\n",
      "  -1.16382838e-01 -1.23163688e-01  1.93343688e-01  7.04065252e-02\n",
      "  -1.62261017e-01  2.46528005e-01 -6.61506110e-02 -1.03384854e-01\n",
      "  -4.80692913e-02 -3.67331833e-03]\n",
      " [ 1.34277807e-01 -8.13116533e-02  7.05547105e-02 -2.19689353e-01\n",
      "  -5.44265000e-02 -1.63458892e-02 -6.94404408e-02  5.89893117e-02\n",
      "   5.94836261e-02 -5.29149863e-02 -2.40084788e-01 -2.71044079e-02\n",
      "  -6.80985575e-03 -2.34128797e-03]\n",
      " [ 1.12083683e-01  1.22419888e-01 -8.84723818e-02  1.35416002e-01\n",
      "  -2.14030408e-01  2.18295796e-01 -1.42892027e-01 -1.22538582e-01\n",
      "  -2.85574687e-01 -1.07749842e-01 -7.25379403e-02 -1.03609206e-01\n",
      "  -1.00835511e-02 -1.17295181e-01]\n",
      " [ 1.31982035e-01 -1.08058338e-01 -1.66695500e-02  1.97184867e-01\n",
      "   8.69386178e-02 -4.39319984e-02  1.70875812e-02  2.93248575e-02\n",
      "   5.50304412e-02  5.77310015e-03 -6.00850443e-02  1.74735931e-02\n",
      "  -1.73654101e-02 -3.73135657e-02]\n",
      " [ 1.10821113e-01  1.52288215e-01 -1.42344750e-01  3.00639281e-02\n",
      "  -1.64512888e-01  9.06927278e-02  6.02572194e-02 -1.70287850e-02\n",
      "   1.49582731e-01  1.16136051e-01 -5.19761864e-02  1.94142917e-01\n",
      "  -6.25461890e-02 -3.46606249e-03]\n",
      " [ 1.39670084e-01 -1.07435361e-01 -1.79636138e-02  1.17052416e-01\n",
      "   4.19374657e-02 -1.35045927e-02  1.88221018e-02 -6.03722788e-04\n",
      "   1.99261933e-03  9.65943943e-03  3.48108233e-02  4.61283624e-03\n",
      "  -6.74833460e-04 -3.85395364e-03]\n",
      " [ 1.10299814e-01  1.58497847e-01 -1.46377189e-01 -2.17300908e-03\n",
      "  -9.95373156e-02  1.49817852e-02  1.04177362e-01  2.54763337e-02\n",
      "   2.12605940e-01  8.86666925e-02  1.08840535e-03  1.74554497e-02\n",
      "   5.55110019e-02  1.95990195e-01]\n",
      " [ 1.41867979e-01 -1.05963384e-01 -1.97244152e-02  7.62296398e-02\n",
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      "  -3.13582577e-02  1.17348997e-02  9.40741864e-02 -4.95164759e-03\n",
      "   1.06869289e-02  2.02716135e-02]\n",
      " [ 1.06364726e-01  1.64012754e-01 -1.09036628e-01 -6.31759928e-02\n",
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      "  -4.08606761e-02 -1.53740529e-01]\n",
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      "   2.02071177e-04 -1.27684947e-02 -3.15773213e-02 -8.47831234e-03\n",
      "   2.41460505e-03  5.47859184e-03]\n",
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      "  -4.47927239e-02  2.35939564e-02  1.32663803e-01  1.18729500e-02\n",
      "   6.06632809e-03  3.67309359e-03]\n",
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      "   2.91010870e-01  2.64993051e-01 -1.81055377e-01 -1.98992901e-01\n",
      "   1.48148269e-01  2.75627035e-01 -7.02016687e-03 -1.95733201e-01\n",
      "   1.60817123e-01 -1.87881921e-01]\n",
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      "  -2.78243696e-02  1.08519182e-02  7.56256016e-02  4.50298565e-03\n",
      "   5.40390432e-03  6.60480257e-03]\n",
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      "  -1.40990755e-02  9.54832642e-02  2.52804818e-01  1.67090534e-01\n",
      "  -8.51945823e-02 -1.42417519e-01 -9.97289831e-03  2.06865820e-01\n",
      "   3.78470098e-01 -7.32975548e-02]\n",
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      "  -6.02925680e-02  2.16084261e-02  1.59865682e-01 -1.12536886e-03\n",
      "   1.47604414e-02  2.43847171e-02]\n",
      " [ 8.23482041e-02  1.23911129e-01  2.46488301e-01  7.48252091e-02\n",
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      "   1.23146634e-01  5.56809817e-04  1.08355971e-01 -3.65358158e-02\n",
      "  -2.02048121e-01  3.43536992e-02]\n",
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      "  -6.09343590e-02 -1.61557582e-02 -7.61801638e-02  6.56692648e-02\n",
      "   6.21306617e-02 -6.07713075e-02 -2.72156216e-01 -3.47559987e-02\n",
      "  -7.57745154e-03 -1.54475874e-03]\n",
      " [ 1.15412575e-01  9.41465918e-02 -4.03266264e-02  1.88582576e-01\n",
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      "  -3.54177153e-01 -2.01477832e-01 -6.24801601e-02 -3.14157752e-01\n",
      "   1.91580067e-01  4.87408370e-01]\n",
      " [ 1.29280221e-01 -1.07588979e-01 -1.59084025e-02  2.17297230e-01\n",
      "   9.92257326e-02 -5.27585930e-02  1.62962817e-02  3.81754609e-02\n",
      "   7.10533055e-02  4.45349289e-03 -8.96631310e-02  2.14026524e-02\n",
      "  -2.24287807e-02 -4.73482744e-02]\n",
      " [ 1.11102059e-01  1.40131767e-01 -1.20462580e-01  7.43821846e-02\n",
      "  -2.16450893e-01  1.66884945e-01 -3.04209811e-02 -7.37838941e-02\n",
      "  -3.32622195e-02  4.72066857e-02 -1.00761576e-01  2.14600106e-01\n",
      "  -1.42257382e-01 -3.09921840e-01]\n",
      " [ 1.31406528e-01 -1.08094435e-01 -1.93026633e-02  2.03484587e-01\n",
      "   8.58990358e-02 -4.17025121e-02  1.81082995e-02  2.65846419e-02\n",
      "   4.94084252e-02  6.07303096e-03 -4.96874317e-02  1.52786827e-02\n",
      "  -1.53498524e-02 -3.30284200e-02]\n",
      " [ 1.10987692e-01  1.47773373e-01 -1.33441362e-01  4.39421304e-02\n",
      "  -1.86899781e-01  1.14613632e-01  3.09516984e-02 -3.58660834e-02\n",
      "   1.00046578e-01  1.05790170e-01 -7.76044000e-02  2.49356524e-01\n",
      "  -1.04682929e-01 -1.34445386e-01]\n",
      " [ 1.32996087e-01 -1.08616510e-01 -2.02530920e-02  1.90362879e-01\n",
      "   7.47628136e-02 -3.22957110e-02  1.81783463e-02  1.70254546e-02\n",
      "   3.00649181e-02  6.34449417e-03 -1.56772560e-02  7.96147189e-03\n",
      "  -7.70793119e-03 -1.63144229e-02]\n",
      " [ 1.10085062e-01  1.60269619e-01 -1.48630897e-01 -1.07331985e-02\n",
      "  -7.01880641e-02 -1.19145142e-02  1.09571484e-01  3.83244404e-02\n",
      "   1.92317433e-01  5.26108320e-02  2.09537073e-02 -6.26835138e-02\n",
      "   7.76799054e-02  1.92246284e-01]\n",
      " [ 1.40661244e-01 -1.07024814e-01 -1.61663959e-02  1.01292769e-01\n",
      "   3.74822329e-02 -1.03461286e-02  1.88607062e-02 -3.83229902e-03\n",
      "  -3.46303714e-03  1.05611499e-02  4.55158587e-02  3.34091016e-03\n",
      "   1.63942692e-03  1.90268298e-03]\n",
      " [ 1.09438492e-01  1.62342918e-01 -1.41450802e-01 -2.30656218e-02\n",
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      "  -2.23312476e-02  1.36457314e-02  8.12528754e-02  1.90957601e-03\n",
      "   6.22466342e-03  1.01401869e-02]\n",
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      "   5.74855906e-02 -1.16800579e-01  9.47692217e-02  6.37201653e-02\n",
      "   5.11230915e-02 -9.86447002e-02  5.46031032e-02 -2.50384531e-01\n",
      "   7.03752223e-02 -8.25715054e-02]\n",
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      "  -5.07435283e-02  2.05386474e-02  1.37920825e-01  3.79016080e-03\n",
      "   1.05943848e-02  1.51126254e-02]\n",
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      "   2.31709294e-02 -1.90041867e-01]\n",
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      "  -7.20179161e-03 -2.15886715e-02 -4.40602343e-02 -2.17660839e-02\n",
      "   6.66397078e-03  1.57854027e-02]\n",
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      "   1.77700752e-01 -1.61294158e-01  1.24656168e-02  2.56947294e-02\n",
      "  -1.56739250e-01 -1.16022669e-01 -3.55172054e-03  1.60920978e-02\n",
      "  -8.08365614e-02 -1.41822720e-01]\n",
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      "  -3.09901637e-02  2.26191411e-02  2.21759344e-02 -3.37406180e-02\n",
      "  -3.84787739e-02  2.28833089e-02  1.20438071e-01  1.33006693e-02\n",
      "   4.53155922e-03  1.28407449e-03]\n",
      " [ 1.03034555e-01  1.59588921e-01 -6.46722183e-02 -7.85802584e-02\n",
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      "  -2.25619181e-01  1.27812897e-02 -6.41192593e-02  3.01643046e-01\n",
      "  -9.45562946e-02  1.88004557e-01]\n",
      " [ 1.44006183e-01 -9.51482042e-02  1.89679664e-02 -9.96990114e-02\n",
      "  -3.27185681e-02  9.75118731e-03 -9.42984646e-03 -4.92662260e-03\n",
      "  -1.35785782e-02 -5.51469826e-03  1.19279035e-02 -7.65617959e-03\n",
      "   5.98189721e-03  1.16194147e-02]\n",
      " [ 9.36998732e-02  1.41851351e-01  1.00535161e-01 -5.01851435e-02\n",
      "   3.12600781e-01  1.96982199e-01 -2.14786761e-01 -2.22223842e-01\n",
      "   7.71837697e-02  3.76416371e-01 -5.14563807e-02 -1.22023654e-01\n",
      "   2.64248915e-01 -1.20754695e-01]\n",
      " [ 1.43962454e-01 -9.21699026e-02  2.93980427e-03 -1.10475150e-01\n",
      "  -3.36726505e-02  2.13531979e-02  1.76177873e-02 -3.01948759e-02\n",
      "  -3.34498073e-02  1.98841346e-02  1.03992707e-01  1.26462061e-02\n",
      "   3.68493890e-03  4.93031126e-04]\n",
      " [ 8.87042684e-02  1.35296840e-01  2.21032115e-01 -3.52538836e-03\n",
      "   1.99110039e-01  3.26249305e-01  8.17167663e-03 -2.69102211e-02\n",
      "   2.00378458e-01 -2.38360261e-01  1.05611088e-01 -7.68479489e-02\n",
      "  -4.10490232e-01  1.08376910e-01]\n",
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      "  -3.61431500e-02  2.48915554e-02  2.23355229e-02 -3.56177298e-02\n",
      "  -4.07854979e-02  2.33114446e-02  1.24496343e-01  1.38055274e-02\n",
      "   4.43249428e-03  1.83219728e-04]\n",
      " [ 8.66108883e-02  1.33021211e-01  2.97119499e-01  4.19390401e-02\n",
      "   3.98367929e-03  1.24190970e-01  2.44614846e-01  1.62214670e-01\n",
      "  -6.06387036e-02 -1.83377654e-01  5.57006123e-03  2.13186384e-01\n",
      "   3.43540177e-01 -6.15331918e-02]\n",
      " [ 1.42802678e-01 -8.84737068e-02  4.43786540e-03 -1.41180015e-01\n",
      "  -4.31284573e-02  2.34354599e-02  1.95535928e-02 -3.16707280e-02\n",
      "  -3.04789996e-02  2.32309036e-02  1.05799565e-01  1.96809140e-02\n",
      "  -1.93964560e-04 -1.04919320e-02]\n",
      " [ 8.50617311e-02  1.31328518e-01  3.05538210e-01  6.27998287e-02\n",
      "  -1.11548186e-01 -1.11850871e-01  1.99759008e-01  7.76634903e-02\n",
      "  -1.60737806e-01  2.24331095e-01 -5.98275762e-02 -7.90752642e-02\n",
      "  -1.38668724e-02 -1.00251091e-02]\n",
      " [ 1.40279303e-01 -8.37140160e-02  2.19578896e-02 -1.86913390e-01\n",
      "  -3.83395032e-02  1.22859907e-02  1.17985222e-02 -1.68573368e-02\n",
      "  -3.63070461e-03  2.03093308e-02  5.24498013e-02  2.66073282e-02\n",
      "  -6.81645266e-03 -2.05055987e-02]\n",
      " [ 8.39023785e-02  1.28477648e-01  2.87052755e-01  7.00314467e-02\n",
      "  -1.56611446e-01 -2.40257167e-01  5.50168631e-02 -5.98614910e-02\n",
      "  -8.26670731e-02  2.62858266e-01 -7.06098153e-03 -1.76251515e-01\n",
      "  -2.94156187e-01  5.46982299e-02]\n",
      " [ 1.40106750e-01 -8.33407911e-02  2.23035645e-02 -1.89418477e-01\n",
      "  -3.81559474e-02  1.22796499e-02  1.23233262e-02 -1.70018669e-02\n",
      "  -2.98100804e-03  2.09845517e-02  5.25633680e-02  2.75552545e-02\n",
      "  -7.29160627e-03 -2.14686620e-02]\n",
      " [ 8.11120431e-02  1.17196261e-01  1.94319267e-01  7.57984809e-02\n",
      "  -1.54256514e-01 -3.32632041e-01 -3.60745260e-01 -3.22942667e-01\n",
      "   2.84388783e-01 -3.42347152e-01  1.49836412e-01  2.04215155e-01\n",
      "   2.92350646e-01 -6.81473099e-02]\n",
      " [ 1.27168258e-01 -6.76283363e-02  8.09340975e-02 -2.25172781e-01\n",
      "  -7.35971871e-02 -2.56342432e-02 -1.34300253e-01  1.20637865e-01\n",
      "   9.98527827e-02 -1.24386885e-01 -5.54398293e-01 -9.50332226e-02\n",
      "  -1.12332623e-02  1.82530285e-02]]\n"
     ]
    }
   ],
   "source": [
    "x = np.array(file['z_std'])\n",
    "print(x)\n",
    "\n",
    "x = np.array(file['pc_componentsT'])\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "88871dcc-1fd4-4417-96d7-9dc2319ca45b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
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   "display_name": "NERSC Python",
   "language": "python",
   "name": "python3"
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  "language_info": {
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.6"
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