{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e1dfc1f4",
   "metadata": {},
   "source": [
    "# $\\mathrm{Co_3O_4}$  Project EQCM"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7cdbac84",
   "metadata": {},
   "source": [
    "## Analyze EQCM Data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c4fcfbb",
   "metadata": {},
   "source": [
    "### Load EQCM Data and Pstat Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "07b2f521",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/leppin/Downloads/Research_ Leppin_2025 _Interfacial Softening and Electrolyte Uptake in Co3O4 OER Catalysts/Data/FastEQCM-D/HighLoading/after_1930mV/2025-08-01 CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_1p0V_MSE_eq_1p93V_RHE_seq1/CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_1p0V_MSE_eq_1p93V_RHE_seq1_dfc_by_n.txt\n",
      "data: (90000, 7)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/anaconda3/lib/python3.12/site-packages/matplotlib/cbook.py:1699: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  return math.isfinite(val)\n",
      "/opt/homebrew/anaconda3/lib/python3.12/site-packages/matplotlib/cbook.py:1345: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  return np.asarray(x, float)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/2397156498.py:47: DtypeWarning: Columns (0) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  data = pd.read_csv(master_fname, skiprows = 0, delimiter = \"\\t\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   flags      time/s  control/V     Ewe/V    <I>/mA  cycle number  \\\n",
      "0     18  209.306395   0.099986  0.100191 -0.011409           1.0   \n",
      "1     18  209.416395   0.100535  0.100746 -0.003377           1.0   \n",
      "2     22  209.616295   0.101535  0.101750  0.000734           1.0   \n",
      "3      6  209.816195   0.102534  0.102750  0.002375           1.0   \n",
      "4     22  210.016095   0.103534  0.103781  0.003533           1.0   \n",
      "\n",
      "       (Q-Qo)/C  I Range  Rcmp/Ohm  \n",
      "0  0.000000e+00       39  8.499999  \n",
      "1 -3.825152e-07       39  8.499998  \n",
      "2 -4.150451e-07       39  8.499998  \n",
      "3  1.053152e-07       39  8.499998  \n",
      "4  9.179961e-07       39  8.499998  \n",
      "B\n",
      "/Users/leppin/Downloads/Research_ Leppin_2025 _Interfacial Softening and Electrolyte Uptake in Co3O4 OER Catalysts/Data/FastEQCM-D/HighLoading/initial/2025-08-01 CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristine_seq1/CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristine_seq1_dfc_by_n.txt\n",
      "data: (90000, 7)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/anaconda3/lib/python3.12/site-packages/matplotlib/cbook.py:1699: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  return math.isfinite(val)\n",
      "/opt/homebrew/anaconda3/lib/python3.12/site-packages/matplotlib/cbook.py:1345: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  return np.asarray(x, float)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/2397156498.py:47: DtypeWarning: Columns (0) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  data = pd.read_csv(master_fname, skiprows = 0, delimiter = \"\\t\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   flags      time/s  control/V     Ewe/V    <I>/mA  cycle number  (Q-Qo)/C  \\\n",
      "0     18  264.793993   0.099982  0.100267 -0.025030           1.0  0.000000   \n",
      "1     18  264.903993   0.100531  0.100808 -0.014323           1.0 -0.000002   \n",
      "2     18  265.103893   0.101531  0.101821 -0.009237           1.0 -0.000003   \n",
      "3      2  265.303793   0.102530  0.102819 -0.007436           1.0 -0.000005   \n",
      "4     18  265.503693   0.103530  0.103809 -0.006149           1.0 -0.000005   \n",
      "\n",
      "   I Range   Rcmp/Ohm  \n",
      "0       39  16.999998  \n",
      "1       39  16.999996  \n",
      "2       39  16.999996  \n",
      "3       39  16.999996  \n",
      "4       39  16.999996  \n",
      "B\n",
      "/Users/leppin/Downloads/Research_ Leppin_2025 _Interfacial Softening and Electrolyte Uptake in Co3O4 OER Catalysts/Data/FastEQCM-D/HighLoading/after_1730mV/2025-08-01 CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1/CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1_dfc_by_n.txt\n",
      "data: (90000, 7)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/anaconda3/lib/python3.12/site-packages/matplotlib/cbook.py:1699: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  return math.isfinite(val)\n",
      "/opt/homebrew/anaconda3/lib/python3.12/site-packages/matplotlib/cbook.py:1345: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  return np.asarray(x, float)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/2397156498.py:47: DtypeWarning: Columns (0) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  data = pd.read_csv(master_fname, skiprows = 0, delimiter = \"\\t\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   flags      time/s  control/V     Ewe/V    <I>/mA  cycle number  (Q-Qo)/C  \\\n",
      "0      2  251.175994   0.100050  0.100225 -0.021673           1.0  0.000000   \n",
      "1      2  251.285994   0.100599  0.100773 -0.009785           1.0 -0.000001   \n",
      "2     18  251.485894   0.101599  0.101778 -0.005219           1.0 -0.000002   \n",
      "3     18  251.685794   0.102598  0.102787 -0.003385           1.0 -0.000003   \n",
      "4     18  251.885694   0.103598  0.103794 -0.002260           1.0 -0.000003   \n",
      "\n",
      "   I Range  Rcmp/Ohm  \n",
      "0       39  8.499999  \n",
      "1       39  8.499998  \n",
      "2       39  8.499998  \n",
      "3       39  8.499998  \n",
      "4       39  8.499998  \n",
      "B\n"
     ]
    },
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time (s)</th>\n",
       "      <th>cycle</th>\n",
       "      <th>potential (V)</th>\n",
       "      <th>current (mA)</th>\n",
       "      <th>current density (mAcm-2)</th>\n",
       "      <th>df/n 3 (Hz)</th>\n",
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       "      <th>CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_1p0V_MSE_eq_1p93V_RHE_05_CV_C01.mpr</th>\n",
       "      <td>0.00</td>\n",
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       "      <td>0.02</td>\n",
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       "      <td>0.04</td>\n",
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       "      <th>CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_1p0V_MSE_eq_1p93V_RHE_05_CV_C01.mpr</th>\n",
       "      <td>0.06</td>\n",
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       "      <td>180.766041</td>\n",
       "      <td>679.853167</td>\n",
       "      <td>-721.477613</td>\n",
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       "      <th>CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_1p0V_MSE_eq_1p93V_RHE_05_CV_C01.mpr</th>\n",
       "      <td>0.08</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>-0.005567</td>\n",
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       "      <td>...</td>\n",
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       "      <th>CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1_05_CV_C01.mpr</th>\n",
       "      <td>1300.30</td>\n",
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       "      <td>40.834041</td>\n",
       "      <td>106.961522</td>\n",
       "      <td>648.481033</td>\n",
       "      <td>-980.918347</td>\n",
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       "    <tr>\n",
       "      <th>CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1_05_CV_C01.mpr</th>\n",
       "      <td>1300.32</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.100632</td>\n",
       "      <td>-0.008814</td>\n",
       "      <td>-0.007533</td>\n",
       "      <td>40.835025</td>\n",
       "      <td>106.973437</td>\n",
       "      <td>648.447650</td>\n",
       "      <td>-980.838791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1_05_CV_C01.mpr</th>\n",
       "      <td>1300.34</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.100533</td>\n",
       "      <td>-0.008789</td>\n",
       "      <td>-0.007512</td>\n",
       "      <td>40.849182</td>\n",
       "      <td>106.962270</td>\n",
       "      <td>648.468300</td>\n",
       "      <td>-980.754664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1_05_CV_C01.mpr</th>\n",
       "      <td>1300.36</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.100434</td>\n",
       "      <td>-0.008763</td>\n",
       "      <td>-0.007490</td>\n",
       "      <td>40.880886</td>\n",
       "      <td>106.938579</td>\n",
       "      <td>648.512175</td>\n",
       "      <td>-980.789734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1_05_CV_C01.mpr</th>\n",
       "      <td>1300.38</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.100321</td>\n",
       "      <td>-0.008701</td>\n",
       "      <td>-0.007437</td>\n",
       "      <td>40.874194</td>\n",
       "      <td>106.969827</td>\n",
       "      <td>648.510502</td>\n",
       "      <td>-980.768213</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>195073 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    time (s)  cycle  \\\n",
       "fname                                                                 \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...      0.00    1.0   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...      0.02    1.0   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...      0.04    1.0   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...      0.06    1.0   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...      0.08    1.0   \n",
       "...                                                      ...    ...   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...   1300.30    5.0   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...   1300.32    5.0   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...   1300.34    5.0   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...   1300.36    5.0   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...   1300.38    5.0   \n",
       "\n",
       "                                                    potential (V)  \\\n",
       "fname                                                               \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...       0.100191   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...       0.100292   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...       0.100393   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...       0.100494   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...       0.100595   \n",
       "...                                                           ...   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...       0.100731   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...       0.100632   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...       0.100533   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...       0.100434   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...       0.100321   \n",
       "\n",
       "                                                    current (mA)  \\\n",
       "fname                                                              \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...     -0.011409   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...     -0.009949   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...     -0.008488   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...     -0.007028   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...     -0.005567   \n",
       "...                                                          ...   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...     -0.008839   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...     -0.008814   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...     -0.008789   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...     -0.008763   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...     -0.008701   \n",
       "\n",
       "                                                    current density (mAcm-2)  \\\n",
       "fname                                                                          \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...                 -0.009752   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...                 -0.008503   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...                 -0.007255   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...                 -0.006007   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...                 -0.004759   \n",
       "...                                                                      ...   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...                 -0.007555   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...                 -0.007533   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...                 -0.007512   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...                 -0.007490   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...                 -0.007437   \n",
       "\n",
       "                                                    df/n 3 (Hz)  dG/n 3 (Hz)  \\\n",
       "fname                                                                          \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...    81.413175   180.744817   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...    81.414984   180.741929   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...    81.418921   180.753883   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...    81.432302   180.766041   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...    81.445119   180.765540   \n",
       "...                                                         ...          ...   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...    40.834041   106.961522   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...    40.835025   106.973437   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...    40.849182   106.962270   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...    40.880886   106.938579   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...    40.874194   106.969827   \n",
       "\n",
       "                                                    df/n 5 (Hz)  dG/n 5 (Hz)  \n",
       "fname                                                                         \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...   679.765193  -721.383818  \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...   679.795080  -721.402561  \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...   679.837604  -721.439339  \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...   679.853167  -721.477613  \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...   679.832223  -721.456788  \n",
       "...                                                         ...          ...  \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...   648.481033  -980.918347  \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...   648.447650  -980.838791  \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...   648.468300  -980.754664  \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...   648.512175  -980.789734  \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...   648.510502  -980.768213  \n",
       "\n",
       "[195073 rows x 9 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from scipy.optimize import curve_fit\n",
    "from numba import jit\n",
    "import matplotlib.pyplot as plt\n",
    "#%matplotlib widget\n",
    "from scipy import interpolate\n",
    "from galvani import BioLogic\n",
    "from scipy import stats\n",
    "from scipy.signal import savgol_filter\n",
    "\n",
    "\n",
    "A = 1.17#cm2\n",
    "\n",
    "def load_data_pstat_binary(master_fname: str) -> tuple[np.ndarray[float], np.ndarray[float], np.ndarray[float]]:\n",
    "    mpr_file = BioLogic.MPRfile(master_fname)\n",
    "    data = pd.DataFrame(mpr_file.data)\n",
    "    data.to_csv(f'{master_fname[:-4]}.txt')\n",
    "    print(data.head())\n",
    "    #data = np.array(data)\n",
    "    voltage         = pd.Series(data['Ewe/V']); \n",
    "    current         = pd.Series(data['<I>/mA'])\n",
    "    time            = pd.Series(data['time/s']- data['time/s'].iloc[0])\n",
    "    cycle           = pd.Series(data['cycle number'])\n",
    "    fnames          = pd.Series(np.full(np.shape(time), os.path.basename(master_fname)))\n",
    "    return time, voltage, current, cycle, fnames\n",
    "\n",
    "def discard_points(y: np.ndarray[float], trsh: int) -> np.ndarray[float]: \n",
    "    y[np.abs(y)>trsh]=np.nan\n",
    "    y = pd.Series(y).interpolate().to_numpy()\n",
    "    return y\n",
    "\n",
    "\n",
    "\n",
    "def load_QCM_data(master_fname: str) -> np.ndarray[float]:\n",
    "    data = pd.read_csv(master_fname, skiprows = 0, delimiter = \"\\t\")\n",
    "    data = np.array(data)\n",
    "    print('data:', np.shape(data))\n",
    "    time = data[:,0]/1000\n",
    "    dfc_by_n = np.zeros((np.shape(data)[0], (np.shape(data)[1]-2)//2), dtype = complex)*np.nan\n",
    "    dfc_by_n.real = data[:, 1:-2:2]\n",
    "    dfc_by_n.imag = data[:, 2:-1:2]\n",
    "    return time, dfc_by_n\n",
    "\n",
    "def load_trigger_data(master_fname: str) -> np.ndarray[float]: \n",
    "    data = pd.read_csv(master_fname, skiprows = 0, delimiter = \"\\t\")\n",
    "    trigger = np.array(data)[:,-1]\n",
    "    return trigger \n",
    "\n",
    "def interpol(old_x: np.ndarray[float], old_y: np.ndarray[float], new_x: np.ndarray[float]) -> np.ndarray[float]:\n",
    "    f = interpolate.interp1d(old_x, old_y, fill_value = 'extrapolate')\n",
    "    new_y = f(new_x)\n",
    "    return new_y\n",
    "\n",
    "def correct_drift(x: np.ndarray[float], y: np.ndarray[float], positions: np.ndarray[int])-> np.ndarray[float]:\n",
    "    print('positions: ', y[positions])\n",
    "    slope, intercept, r_value, p_value, std_err = stats.linregress(x[positions],y[positions].real)\n",
    "    y.real = y.real - slope*x\n",
    "    f_drift = slope*x\n",
    "    print('slope: ', slope)\n",
    "    slope, intercept, r_value, p_value, std_err = stats.linregress(x[positions],y[positions].imag)\n",
    "    y.imag = y.imag - slope*x \n",
    "    return y, f_drift + 1j*slope*x\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "AllEQCMData = pd.DataFrame()\n",
    "EQCM_files = []\n",
    "PSTAT_files = []\n",
    "TRIGGER_files = []\n",
    "root = os.getcwd()\n",
    "if __name__ == \"__main__\":\n",
    "    for dirpath, dirnames, filenames in os.walk(root):\n",
    "        for file in filenames:\n",
    "            if file.endswith('.mpr') and file.__contains__('05_CV_C'):\n",
    "                PSTAT_files.append(os.path.join(dirpath, file))\n",
    "            if file.endswith('.txt') and file.__contains__('_dfc'):#eqcm\n",
    "                EQCM_files.append(os.path.join(dirpath, file))\n",
    "            if file.endswith('.txt') and file.__contains__('ResonaceCurves_1'):#trigger\n",
    "                TRIGGER_files.append(os.path.join(dirpath, file))\n",
    "    \n",
    "    for i_file, (EQCM_file, PSTAT_file, TRIGGER_file) in enumerate(zip(EQCM_files, PSTAT_files, TRIGGER_files)): \n",
    "        print(EQCM_file)\n",
    "        time, dfc_by_n = load_QCM_data(master_fname =EQCM_file)\n",
    "        n_ovt = len(dfc_by_n[0,:])\n",
    "        ns = np.array([3, 5, 7, 9, 11, 13])\n",
    "        for iovt in range(n_ovt):\n",
    "            #dfc_by_n[:,iovt] = discard_points(dfc_by_n[:,iovt], 1000)\n",
    "            dfc_by_n.real[:,iovt] = savgol_filter(dfc_by_n.real[:,iovt], window_length = 53, polyorder = 1 )\n",
    "            dfc_by_n.imag[:,iovt] = savgol_filter(dfc_by_n.imag[:,iovt], window_length = 53, polyorder = 1 )\n",
    "        fig, ax = plt.subplots()\n",
    "        plt.plot(time, dfc_by_n); plt.show()\n",
    "        trigger = load_trigger_data(master_fname = TRIGGER_file)\n",
    "        i_Trigs = np.zeros(0, dtype = int)\t# finds data points, where the trigger signal jumps\n",
    "        for i in range(2,len(trigger)-1):\n",
    "            if (trigger[i]-trigger[i-1] > 0.5) and \\\n",
    "            (trigger[i]-trigger[i-1] > trigger[i-1]-trigger[i-2]) and \\\n",
    "            (trigger[i]-trigger[i-1] > trigger[i+1]-trigger[i]) :\n",
    "                i_Trigs = np.append(i_Trigs,i)\n",
    "\n",
    "        time -= time[i_Trigs[0]]\n",
    "        time = time[i_Trigs[0]:]\n",
    "        dfc_by_n = dfc_by_n[i_Trigs[0]:, :]\n",
    "        i_Trigs -= i_Trigs[0]\n",
    "\n",
    "        time_iv, voltage, current, cycle, fnames = load_data_pstat_binary(PSTAT_file)\n",
    "\n",
    "        if time_iv.iloc[-1] > time[-1]:\n",
    "            print('A')\n",
    "            i_end_time =  np.argmin(np.abs(time_iv-time[-1]))\n",
    "            time_iv = time_iv[:i_end_time]\n",
    "            voltage = voltage[:i_end_time]\n",
    "            current = current[:i_end_time]\n",
    "            cycle = cycle[:i_end_time]\n",
    "            #print(time_iv)\n",
    "        elif time[-1] > time_iv.iloc[-1]:\n",
    "            print('B')\n",
    "            i_end_time =  np.argmin(np.abs(time-time_iv.iloc[-1]))\n",
    "            time= time[:i_end_time]\n",
    "            dfc_by_n= dfc_by_n[:i_end_time, :]\n",
    "\n",
    "        voltage_dfG = interpol(old_x = time_iv, old_y = voltage, new_x = time)\n",
    "        current_dfG = interpol(old_x = time_iv, old_y = current, new_x = time)\n",
    "        cycle_dfG   = interpol(old_x = time_iv, old_y = cycle,   new_x = time)\n",
    "\n",
    "        #construc a data frame usinf pandas data structures. \n",
    "        EQCMData = {'time (s)': time, \n",
    "                    'cycle':    cycle_dfG,\n",
    "                    'potential (V)': voltage_dfG, \n",
    "                    'current (mA)': current_dfG, \n",
    "                    'current density (mAcm-2)': current_dfG/A,\n",
    "                    'fname': np.full(np.shape(time), fnames[0])}\n",
    "        for i_ovt in range(n_ovt): \n",
    "            EQCMData[f'df/n {ns[i_ovt]} (Hz)'] = dfc_by_n[:, i_ovt].real\n",
    "            EQCMData[f'dG/n {ns[i_ovt]} (Hz)'] = dfc_by_n[:, i_ovt].imag\n",
    "        EQCMData = pd.DataFrame(EQCMData)\n",
    "        AllEQCMData = pd.concat([AllEQCMData, EQCMData])\n",
    "    AllEQCMData_indexed = AllEQCMData.set_index(['fname'])\n",
    "    #AllEQCMData_indexed = AllEQCMData_indexed.sort_index()\n",
    "AllEQCMData_indexed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b74fe83a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['/Users/leppin/Downloads/Research_ Leppin_2025 _Interfacial Softening and Electrolyte Uptake in Co3O4 OER Catalysts/Data/FastEQCM-D/HighLoading/after_1930mV/2025-08-01 CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_1p0V_MSE_eq_1p93V_RHE_seq1/CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_1p0V_MSE_eq_1p93V_RHE_seq1_dfc_by_n.txt',\n",
       " '/Users/leppin/Downloads/Research_ Leppin_2025 _Interfacial Softening and Electrolyte Uptake in Co3O4 OER Catalysts/Data/FastEQCM-D/HighLoading/initial/2025-08-01 CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristine_seq1/CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristine_seq1_dfc_by_n.txt',\n",
       " '/Users/leppin/Downloads/Research_ Leppin_2025 _Interfacial Softening and Electrolyte Uptake in Co3O4 OER Catalysts/Data/FastEQCM-D/HighLoading/after_1730mV/2025-08-01 CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1/CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1_dfc_by_n.txt']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "EQCM_files"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba06c5e1",
   "metadata": {},
   "source": [
    "### Make an Interactive Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ac41a894",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:54: SyntaxWarning: invalid escape sequence '\\m'\n",
      "<>:66: SyntaxWarning: invalid escape sequence '\\D'\n",
      "<>:77: SyntaxWarning: invalid escape sequence '\\m'\n",
      "<>:95: SyntaxWarning: invalid escape sequence '\\m'\n",
      "<>:111: SyntaxWarning: invalid escape sequence '\\D'\n",
      "<>:54: SyntaxWarning: invalid escape sequence '\\m'\n",
      "<>:66: SyntaxWarning: invalid escape sequence '\\D'\n",
      "<>:77: SyntaxWarning: invalid escape sequence '\\m'\n",
      "<>:95: SyntaxWarning: invalid escape sequence '\\m'\n",
      "<>:111: SyntaxWarning: invalid escape sequence '\\D'\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/4008698026.py:54: SyntaxWarning: invalid escape sequence '\\m'\n",
      "  axs[0].set_ylabel('$i_{\\mathrm{geo}} \\ \\mathrm{(mA \\ cm^{-2}})$', fontsize=16)\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/4008698026.py:66: SyntaxWarning: invalid escape sequence '\\D'\n",
      "  axs[1].set_ylabel(\"$\\Delta f/n$ (Hz)\", fontsize=16)\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/4008698026.py:77: SyntaxWarning: invalid escape sequence '\\m'\n",
      "  ax2.set_ylabel('$\\mathrm{mass_{geo}}$ \\n ($\\mathrm{\\mu g \\ cm^{-2}}$)', fontsize=16)\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/4008698026.py:95: SyntaxWarning: invalid escape sequence '\\m'\n",
      "  axs[2].set_ylabel('$d/dt(\\mathrm{mass_{geo}})$ \\n ($\\mathrm{\\mu g \\ cm^{-2} \\ s^{-1}}$)', fontsize=16)\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/4008698026.py:111: SyntaxWarning: invalid escape sequence '\\D'\n",
      "  axs[3].set_ylabel('$\\Delta \\Gamma/n$ (Hz)', fontsize=16)\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x1100 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np \n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import os\n",
    "from matplotlib import cm\n",
    "from scipy.ndimage import gaussian_filter1d\n",
    "from matplotlib.widgets import CheckButtons  # <<< INTERACTIVE CHECKBOXES <<<\n",
    "\n",
    "A = 1.17 #cm2\n",
    "\n",
    "plot_versus_t = True\n",
    "colors = [\n",
    "    (0/255,0/255,0/255), (255/255,0/255,0/255), (0/255,255/255,0/255), (0/255,0/255,255/255),\n",
    "    (0/255,255/255,255/255), (255/255,0/255,255/255), (255/255,255/255,0/255), (128/255,128/255,0/255),\n",
    "    (0/255,0/255,128/255), (128/255,0/255,128/255), (128/255,0/255,0/255), (0/255,128/255,0/255), (0/255,128/255,128/255),\n",
    "    (0/255,0/255,160/255), (255/255,128/255,0/255), (128/255,0/255,255/255), (255/255,0/255,128/255),\n",
    "    (255/255,255/255,255/255), (0/255,0/255,0/255), (192/255,192/255,192/255), (128/255,128/255,128/255)\n",
    "]\n",
    "\n",
    "n_cycle = 3\n",
    "\n",
    "def CalcSauerbreyMass(df_by_n: np.ndarray, Filter: bool = True) -> np.ndarray: \n",
    "    Zq = 8.8e6\n",
    "    f0 = 5e6\n",
    "    MassDensity = -df_by_n * Zq / (2*f0**2) * 1e5  # conversion of kg/m2 in ug/cm2\n",
    "    return gaussian_filter1d(MassDensity, 150, axis=0) if Filter else MassDensity\n",
    "\n",
    "def discard_points(y: np.ndarray, trsh: int) -> np.ndarray: \n",
    "    y[np.abs(y) > trsh] = np.nan\n",
    "    return pd.Series(y).interpolate().to_numpy()\n",
    "\n",
    "labels = ['15 MHz', '25 MHz', '35 MHz', '45 MHz']\n",
    "lines  = ['--', '-', ':']\n",
    "\n",
    "SelectedData = AllEQCMData_indexed.loc[AllEQCMData_indexed['cycle']==n_cycle]\n",
    "\n",
    "samples = sorted(set(SelectedData.index.get_level_values('fname')))\n",
    "\n",
    "fig, axs = plt.subplots(nrows=4, ncols=1, sharex=True, figsize=[10,11])\n",
    "axs[0].tick_params(which='both', direction=\"in\", labelsize=10)\n",
    "\n",
    "sample_lines = {sample: [] for sample in samples}  # <<< STORE LINES FOR INTERACTIVITY <<<\n",
    "\n",
    "for i_sample, sample in enumerate(samples):\n",
    "    df = SelectedData.loc[(sample)]\n",
    "    len_anodic_wave = len(df['df/n 3 (Hz)']) // 2\n",
    "\n",
    "    # Plot current\n",
    "    l1a, = axs[0].plot(df['potential (V)'].iloc[:len_anodic_wave], df['current density (mAcm-2)'].iloc[:len_anodic_wave],\n",
    "                       linestyle=lines[i_sample], color=cm.coolwarm(500))\n",
    "    l1c, = axs[0].plot(df['potential (V)'].iloc[len_anodic_wave:], df['current density (mAcm-2)'].iloc[len_anodic_wave:],\n",
    "                       linestyle=lines[i_sample], color=cm.coolwarm(500), alpha=0.25)\n",
    "    sample_lines[sample] += [l1a, l1c]\n",
    "axs[0].set_ylabel('$i_{\\mathrm{geo}} \\ \\mathrm{(mA \\ cm^{-2}})$', fontsize=16)\n",
    "\n",
    "ovt_keys_f = SelectedData.keys()[5::2]\n",
    "axs[1].tick_params(which='both', direction=\"in\", labelsize=10)\n",
    "for i_sample, sample in enumerate(samples):\n",
    "    df = SelectedData.loc[(sample)]\n",
    "    for i_ovt, ovt_key in enumerate(ovt_keys_f):\n",
    "        l2a, = axs[1].plot(df['potential (V)'].iloc[:len_anodic_wave], (df[ovt_key]-df[ovt_key].iloc[0]).iloc[:len_anodic_wave],\n",
    "                           linestyle=lines[i_sample], color=cm.gray(i_ovt*75))\n",
    "        l2c, = axs[1].plot(df['potential (V)'].iloc[len_anodic_wave:], (df[ovt_key]-df[ovt_key].iloc[0]).iloc[len_anodic_wave:],\n",
    "                           linestyle=lines[i_sample], color=cm.gray(i_ovt*75), alpha=0.25)\n",
    "        sample_lines[sample] += [l2a, l2c]\n",
    "axs[1].set_ylabel(\"$\\Delta f/n$ (Hz)\", fontsize=16)\n",
    "\n",
    "ax2 = axs[1].twinx()\n",
    "for i_sample, sample in enumerate(samples):\n",
    "    df = SelectedData.loc[(sample)]\n",
    "    SauerbreyMass = CalcSauerbreyMass(df['df/n 3 (Hz)'] - df['df/n 3 (Hz)'].iloc[0])\n",
    "    l3a, = ax2.plot(df['potential (V)'].iloc[:len_anodic_wave], SauerbreyMass[:len_anodic_wave],\n",
    "                    linestyle=lines[i_sample], color=cm.coolwarm(500))\n",
    "    l3c, = ax2.plot(df['potential (V)'].iloc[len_anodic_wave:], SauerbreyMass[len_anodic_wave:],\n",
    "                    linestyle=lines[i_sample], color=cm.coolwarm(500), alpha=0.5)\n",
    "    sample_lines[sample] += [l3a, l3c]\n",
    "ax2.set_ylabel('$\\mathrm{mass_{geo}}$ \\n ($\\mathrm{\\mu g \\ cm^{-2}}$)', fontsize=16)\n",
    "ax2.spines['right'].set_color(cm.coolwarm(500))\n",
    "ax2.tick_params(axis='y', color=cm.coolwarm(500), direction='in')\n",
    "ax2.yaxis.label.set_color(cm.coolwarm(500))\n",
    "ax2.tick_params(which='both', labelsize=10, labelright=True)\n",
    "\n",
    "axs[2].tick_params(which='both', direction=\"in\", labelsize=10)\n",
    "for i_sample, sample in enumerate(samples):\n",
    "    df = SelectedData.loc[(sample)]\n",
    "    SauerbreyMass = CalcSauerbreyMass(df['df/n 3 (Hz)'] - df['df/n 3 (Hz)'].iloc[0])\n",
    "    time = np.linspace(0, len(SauerbreyMass)-1, len(SauerbreyMass))  # Replace this with actual time vector if available\n",
    "    rate = (np.roll(SauerbreyMass, -1) - SauerbreyMass) / (time[1] - time[0])\n",
    "    rate_clean = discard_points(rate[5:-5], 1)\n",
    "    l4a, = axs[2].plot(df['potential (V)'].iloc[5:-5].iloc[:len_anodic_wave], rate_clean[:len_anodic_wave],\n",
    "                       linestyle=lines[i_sample], color=cm.coolwarm(500))\n",
    "    l4c, = axs[2].plot(df['potential (V)'].iloc[5:-5].iloc[len_anodic_wave:], rate_clean[len_anodic_wave:],\n",
    "                       linestyle=lines[i_sample], color=cm.coolwarm(500), alpha=0.25)\n",
    "    sample_lines[sample] += [l4a, l4c]\n",
    "axs[2].set_ylabel('$d/dt(\\mathrm{mass_{geo}})$ \\n ($\\mathrm{\\mu g \\ cm^{-2} \\ s^{-1}}$)', fontsize=16)\n",
    "\n",
    "ovt_keys_g = SelectedData.keys()[6::2]\n",
    "axs[3].tick_params(which='both', direction=\"in\", labelsize=10)\n",
    "for i_sample, sample in enumerate(samples):\n",
    "    df = SelectedData.loc[(sample)]\n",
    "    for i_ovt, ovt_key in enumerate(ovt_keys_g):\n",
    "        if i_sample == 0: \n",
    "            l5a, = axs[3].plot(df['potential (V)'].iloc[:len_anodic_wave], (df[ovt_key] - df[ovt_key].iloc[0]).iloc[:len_anodic_wave],\n",
    "                            linestyle=lines[i_sample], color=cm.gray(i_ovt*75), label=labels[i_ovt])\n",
    "        else: \n",
    "            l5a, = axs[3].plot(df['potential (V)'].iloc[:len_anodic_wave], (df[ovt_key] - df[ovt_key].iloc[0]).iloc[:len_anodic_wave],\n",
    "                linestyle=lines[i_sample], color=cm.gray(i_ovt*75))\n",
    "        l5c, = axs[3].plot(df['potential (V)'].iloc[len_anodic_wave:], (df[ovt_key] - df[ovt_key].iloc[0]).iloc[len_anodic_wave:],\n",
    "                           linestyle=lines[i_sample], color=cm.gray(i_ovt*75), alpha=0.1)\n",
    "        sample_lines[sample] += [l5a, l5c]\n",
    "axs[3].set_ylabel('$\\Delta \\Gamma/n$ (Hz)', fontsize=16)\n",
    "axs[3].set_xlabel('potential vs Hg/HgO (V)', fontsize=16)\n",
    "\n",
    "# >>> INTERACTIVE CHECKBOXES <<<\n",
    "rax = plt.axes([0.87, 0.5, 0.12, 0.2])\n",
    "checkbox_labels = [str(sample) for sample in samples]\n",
    "visibility = [True] * len(samples)\n",
    "check = CheckButtons(rax, checkbox_labels, visibility)\n",
    "\n",
    "def toggle_sample(label):\n",
    "    for line in sample_lines[label]:\n",
    "        line.set_visible(not line.get_visible())\n",
    "    plt.draw()\n",
    "\n",
    "check.on_clicked(toggle_sample)\n",
    "plt.subplots_adjust(right=0.8)\n",
    "fig.legend(bbox_to_anchor=(0.9, 0.05), ncol = 4, fontsize = 13)\n",
    "plt.savefig(fname=f\"result_{n_cycle}.tif\", dpi=600, pil_kwargs={\"compression\": \"tiff_lzw\"}, bbox_inches='tight')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9b3ec04",
   "metadata": {},
   "source": [
    "## Make a Differential Tafel Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "21b39074",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tafel slope (order 0): 83.68+/-0.16 mV/dec\n",
      "Tafel slope (order 1): 115.24+/-0.78 mV/dec\n",
      "Tafel slope (order 2): -412.33+/-175.78 mV/dec\n",
      "Tafel slope (order 3): 153.30+/-45.88 mV/dec\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/anaconda3/lib/python3.12/site-packages/uncertainties/core.py:1024: UserWarning: Using UFloat objects with std_dev==0 may give unexpected results.\n",
      "  warn(\"Using UFloat objects with std_dev==0 may give unexpected results.\")\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tafel slope (order 0): 74.68+/-0.19 mV/dec\n",
      "Tafel slope (order 1): 109.25+/-0.62 mV/dec\n",
      "Tafel slope (order 2): -251.12+/-116.96 mV/dec\n",
      "Tafel slope (order 3): 99.74+/-19.19 mV/dec\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/anaconda3/lib/python3.12/site-packages/uncertainties/core.py:1024: UserWarning: Using UFloat objects with std_dev==0 may give unexpected results.\n",
      "  warn(\"Using UFloat objects with std_dev==0 may give unexpected results.\")\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tafel slope (order 0): 81.52+/-0.17 mV/dec\n",
      "Tafel slope (order 1): 114.25+/-0.77 mV/dec\n",
      "Tafel slope (order 2): -183.55+/-43.26 mV/dec\n",
      "Tafel slope (order 3): 132.17+/-33.78 mV/dec\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/anaconda3/lib/python3.12/site-packages/uncertainties/core.py:1024: UserWarning: Using UFloat objects with std_dev==0 may give unexpected results.\n",
      "  warn(\"Using UFloat objects with std_dev==0 may give unexpected results.\")\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "from galvani import BioLogic\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.widgets import CheckButtons\n",
    "from matplotlib.colors import LinearSegmentedColormap\n",
    "from scipy.signal import savgol_filter\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import r2_score\n",
    "from lmfit.models import LinearModel\n",
    "from uncertainties import ufloat\n",
    "\n",
    "A = 1.17\n",
    "\n",
    "colors = ['lightcoral', 'salmon', 'red', 'darkred']\n",
    "\n",
    "def lmfit_slope_stats(potential_segment, log_data_segment):\n",
    "    \"\"\"Fit a line using lmfit LinearModel and return slope, slope error, and R².\"\"\"\n",
    "    model = LinearModel()\n",
    "    params = model.make_params(intercept=0, slope=1)\n",
    "    result = model.fit(log_data_segment, params, x=potential_segment)\n",
    "    slope = result.params['slope'].value\n",
    "    slope_error = result.params['slope'].stderr\n",
    "    r_squared = result.rsquared\n",
    "    fit = 10**result.best_fit\n",
    "    return slope, slope_error, r_squared, fit\n",
    "\n",
    "\n",
    "\n",
    "def find_best_linear_region(E, Y, window_size=20):\n",
    "    log_Y = np.log10(np.abs(Y))\n",
    "    best_r2 = -np.inf\n",
    "    best_range = (0, window_size)\n",
    "    for i in range(len(E) - window_size):\n",
    "        E_window = E[i:i + window_size].reshape(-1, 1)\n",
    "        Y_window = log_Y[i:i + window_size]\n",
    "        model = LinearRegression().fit(E_window, Y_window)\n",
    "        r2 = r2_score(Y_window, model.predict(E_window))\n",
    "        if r2 > best_r2:\n",
    "            best_r2 = r2\n",
    "            best_range = (i, i + window_size)\n",
    "    return best_range, best_r2\n",
    "\n",
    "\n",
    "\n",
    "def differential_tafel_analysis_iterative(potential, current_density, window_length=31, polyorder=3, threshold=0.05, max_order=3):\n",
    "    current_derivatives = [savgol_filter(current_density, window_length, polyorder)]\n",
    "    fits         = np.ones((len(current_density), max_order+1))*np.nan\n",
    "    slopes       = []\n",
    "    R2s          = []\n",
    "    tafel_slopes = []\n",
    "    for order in range(0, max_order + 1):\n",
    "        if order >= len(current_derivatives):\n",
    "            derivative = np.gradient(current_derivatives[order - 1], potential)\n",
    "            smoothed = savgol_filter(derivative, window_length, polyorder)\n",
    "            current_derivatives.append(smoothed)\n",
    "\n",
    "\n",
    "    best_range, best_r2 = find_best_linear_region(potential, current_derivatives[2], window_size=30)\n",
    "    #start, end = best_range\n",
    "    start, end = np.argmin(np.abs(potential-0.68)), np.argmin(np.abs(potential-0.72))\n",
    "        \n",
    "    for order in range(0, max_order + 1):\n",
    "        pot_fit = potential[start:end]\n",
    "        log_fit = np.log10(np.abs(current_derivatives[order][start:end]))\n",
    "\n",
    "        slope, slope_error, r_squared, fit = lmfit_slope_stats(potential_segment = pot_fit, log_data_segment = log_fit)\n",
    "        slope_with_uncertainty = ufloat(slope, slope_error)\n",
    "        tafel_slope = 1 / slope_with_uncertainty * 1000 #mV\n",
    "        slopes.append(tafel_slope)\n",
    "        R2s.append(np.round(r_squared, 4))\n",
    "        fits[start:end, order] = fit\n",
    "        print(f\"Tafel slope (order {order}): {tafel_slope:.2f} mV/dec\")\n",
    "        tafel_slopes.append(tafel_slope)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "    fig, ax = plt.subplots(nrows = 1, ncols = 1, figsize=(5, 3))\n",
    "    for i in range(max_order + 1):  # Only plot up to max_order\n",
    "        ax.semilogy(potential, np.abs(current_derivatives[i]), color = colors[i], label=f'{i} derivative', alpha = 0.25)\n",
    "        ax.semilogy(potential[start:end], fits[start:end,i], color = colors[i], label=f'fit: {slopes[i]}, {R2s[i]}')\n",
    "    ax.axvspan(potential[start], potential[end-1], color='gray', alpha=0.3, label='Best Fit Region')\n",
    "    ax.set_xlabel('Potential (V)')\n",
    "    ax.set_ylabel('Current or derivative (log scale)')\n",
    "    ax.set_title(f'Differential Tafel Analysis {sample}')\n",
    "    ax.legend()\n",
    "    plt.grid(True)\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "    overpotential = potential[np.argmin(np.abs((current_density-0.1)))]\n",
    "    tafel_slopes.append(overpotential)\n",
    "    tafel_slopes = pd.DataFrame([tafel_slopes], columns = ['tafel slope 0', 'tafel slope 1', 'tafel slope 2', 'tafel slope 3', 'overpotential'])\n",
    "    return tafel_slopes\n",
    "\n",
    "\n",
    "\n",
    "# Main loop\n",
    "n_cycle = 3\n",
    "\n",
    "resultsEQCM = pd.DataFrame() \n",
    "# Plot data by sample and perturbation\n",
    "for i_sample, sample in enumerate(samples):\n",
    "    df = AllEQCMData_indexed.loc[(sample)]\n",
    "    df = df[df['cycle'] == n_cycle]\n",
    "    len_anodic_wave = len(df['potential (V)'])//2\n",
    "    fig, ax = plt.subplots(nrows = 1, ncols = 1, constrained_layout = True, figsize = (5, 3))     \n",
    "    ax.plot(df['potential (V)'].to_numpy()[2:len_anodic_wave],\n",
    "                df['current density (mAcm-2)'].to_numpy()[2:len_anodic_wave])\n",
    "    ax.set_xlabel(\"Potential (V)\")\n",
    "    ax.set_ylabel(\"Current density (mAcm-2)\")\n",
    "    ax.set_title(\"LSV Curve\")\n",
    "    plt.grid(True)\n",
    "    plt.show()\n",
    "    tafel_slopesEQCM = differential_tafel_analysis_iterative(df['potential (V)'].to_numpy()[2:len_anodic_wave], df['current density (mAcm-2)'].to_numpy()[2:len_anodic_wave])\n",
    "    tafel_slopesEQCM.index = [os.path.basename(sample)]\n",
    "    resultsEQCM = pd.concat([resultsEQCM, tafel_slopesEQCM])\n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82100f2b",
   "metadata": {},
   "source": [
    "### Add Infos to the Tafel Plot Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0a9920cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tafel slope</th>\n",
       "      <th>error</th>\n",
       "      <th>overpotential</th>\n",
       "      <th>info</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristine_05_CV_C01.mpr</th>\n",
       "      <td>74.681369</td>\n",
       "      <td>0.187349</td>\n",
       "      <td>0.507590</td>\n",
       "      <td>Pristine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1_05_CV_C01.mpr</th>\n",
       "      <td>81.516902</td>\n",
       "      <td>0.169832</td>\n",
       "      <td>0.629712</td>\n",
       "      <td>1 h at 1.73 V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_1p0V_MSE_eq_1p93V_RHE_05_CV_C01.mpr</th>\n",
       "      <td>83.680234</td>\n",
       "      <td>0.164857</td>\n",
       "      <td>0.517287</td>\n",
       "      <td>1 h at 1.93 V</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    tafel slope     error  \\\n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristine...    74.681369  0.187349   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...    81.516902  0.169832   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...    83.680234  0.164857   \n",
       "\n",
       "                                                    overpotential  \\\n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristine...       0.507590   \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...       0.629712   \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...       0.517287   \n",
       "\n",
       "                                                             info  \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristine...       Pristine  \n",
       "CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA...  1 h at 1.73 V  \n",
       "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA...  1 h at 1.93 V  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tafel_plot_dataEQCM = pd.concat([resultsEQCM['tafel slope 0'].apply(lambda x: x.n), resultsEQCM['tafel slope 0'].apply(lambda x: x.s), resultsEQCM['overpotential']], axis = 1)\n",
    "tafel_plot_dataEQCM.columns = ['tafel slope', 'error', 'overpotential']\n",
    "tafel_plot_dataEQCM['info'] = tafel_plot_dataEQCM.index.map(\n",
    "    lambda idx: (\n",
    "        'Pristine' if 'pristine' in idx else\n",
    "        '1 h at 1.73 V' if 'at_0_' in idx or '0p8' in idx else\n",
    "        '1 h at 1.93 V' if 'at_1' in idx else\n",
    "        'unknown'\n",
    "    )\n",
    ")\n",
    "tafel_plot_dataEQCM = tafel_plot_dataEQCM.sort_values(by='tafel slope', ascending=True)\n",
    "tafel_plot_dataEQCM"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9ad304a",
   "metadata": {},
   "source": [
    "### Plot Tafel Slopes and Overpotentials"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "118351cd",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:11: SyntaxWarning: invalid escape sequence '\\m'\n",
      "<>:16: SyntaxWarning: invalid escape sequence '\\m'\n",
      "<>:11: SyntaxWarning: invalid escape sequence '\\m'\n",
      "<>:16: SyntaxWarning: invalid escape sequence '\\m'\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/1094553580.py:11: SyntaxWarning: invalid escape sequence '\\m'\n",
      "  axs[0].set_ylabel('Tafel slope  \\n $\\mathrm{(mV \\ dec^{-1})}$', fontsize = 6)\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/1094553580.py:16: SyntaxWarning: invalid escape sequence '\\m'\n",
      "  axs[1].set_ylabel('overpotential vs RHE \\n at 0.1 $\\mathrm{mA \\ cm^{-2} \\ (V)}$', fontsize = 6)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x120 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "def convert_potential(E_old, pH=13, Eref_old = 0.1635): \n",
    "    E_new = E_old + Eref_old + 0.059*pH\n",
    "    return E_new\n",
    "\n",
    "fig, axs = plt.subplots(ncols=2, nrows=1, constrained_layout = True, figsize = [3, 1.2])\n",
    "[ax.tick_params(which = 'both', direction = 'in', bottom = True, top = True, left = True, right = True, labelsize = 6) for ax in axs]\n",
    "\n",
    "#tafel slopes\n",
    "axs[0].errorbar(tafel_plot_dataEQCM['info'], tafel_plot_dataEQCM['tafel slope'], tafel_plot_dataEQCM['error'], linestyle = 'none', marker = 'o', capsize = 3, fillstyle = 'none', color = 'black', label = 'before EIS')\n",
    "axs[0].tick_params(axis = 'x', labelrotation = 45, labelsize = 6)\n",
    "axs[0].set_ylabel('Tafel slope  \\n $\\mathrm{(mV \\ dec^{-1})}$', fontsize = 6)\n",
    "\n",
    "\n",
    "axs[1].plot(tafel_plot_dataEQCM['info'], convert_potential(tafel_plot_dataEQCM['overpotential']), linestyle = 'none', marker = 'o', fillstyle = 'none', color = 'black')\n",
    "axs[1].tick_params(axis = 'x', labelrotation = 45, labelsize = 6)\n",
    "axs[1].set_ylabel('overpotential vs RHE \\n at 0.1 $\\mathrm{mA \\ cm^{-2} \\ (V)}$', fontsize = 6)\n",
    "\n",
    "for ax in np.ravel(axs):\n",
    "    ax.margins(x=0.17, y=0.17)\n",
    "\n",
    "fig.legend(bbox_to_anchor=(0.5, -0.05), loc = 'center', ncol = 2, fontsize = 6, frameon = False)\n",
    "plt.savefig(fname=f\"Tafel_slopes_overpotentials.tif\", dpi=600, pil_kwargs={\"compression\": \"tiff_lzw\"}, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d8535d31",
   "metadata": {},
   "outputs": [],
   "source": [
    "tafel_plot_dataEQCM['before EIS'] = 'Yes'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3527ed67",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "AllEQCMData_indexed.to_parquet(\"AllEQCMData_indexed.parquet\")\n",
    "tafel_plot_dataEQCM.to_parquet(\"tafel_plot_data_all.parquet\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "448a2334",
   "metadata": {},
   "source": [
    "## Plot of the Single Measurement as Figure 1 (Left)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0687f0c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristine_05_CV_C01.mpr\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 130x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np \n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import os\n",
    "from matplotlib import cm\n",
    "from scipy.ndimage import gaussian_filter1d\n",
    "from matplotlib.ticker import AutoMinorLocator\n",
    "\n",
    "n_cycle = 3\n",
    "\n",
    "def convert_potential(E_old, pH=13, Eref_old = 0.1635): \n",
    "    E_new = E_old + Eref_old + 0.059*pH\n",
    "    return E_new\n",
    "\n",
    "def CalcSauerbreyMass(df_by_n: np.ndarray, Filter: bool = True) -> np.ndarray: \n",
    "    Zq = 8.8e6\n",
    "    f0 = 5e6\n",
    "    MassDensity = -df_by_n * Zq / (2*f0**2) * 1e5  # conversion of kg/m2 in ug/cm2\n",
    "    return gaussian_filter1d(MassDensity, 150, axis=0) if Filter else MassDensity\n",
    "\n",
    "def discard_points(y: np.ndarray, trsh: int) -> np.ndarray: \n",
    "    y[np.abs(y) > trsh] = np.nan\n",
    "    return pd.Series(y).interpolate().to_numpy()\n",
    "\n",
    "labels = ['15 MHz', '25 MHz', '35 MHz', '45 MHz']\n",
    "lines  = ['-', '--', '-']\n",
    "\n",
    "SelectedData = AllEQCMData_indexed[AllEQCMData_indexed['cycle'].isin([n_cycle])]\n",
    "def sample_sort_key(s):\n",
    "    if \"pristine\" in s:\n",
    "        return 0\n",
    "    elif \"0p8\" in s:\n",
    "        return 1\n",
    "    elif \"1p0\" in s or \"at_1V\" in s:\n",
    "        return 2\n",
    "    else:\n",
    "        return 3  # fallback\n",
    "samples = set(SelectedData.index.get_level_values('fname'))\n",
    "samples = [sorted(samples, key=sample_sort_key)[0]]\n",
    "\n",
    "\n",
    "# Legend\n",
    "plt.rcParams['legend.fontsize'] = 6\n",
    "plt.rcParams['legend.frameon'] = False\n",
    "# Axes\n",
    "plt.rcParams['axes.labelsize'] = 7\n",
    "plt.rcParams['axes.titlesize'] = 7\n",
    "# Ticks\n",
    "plt.rcParams['xtick.labelsize'] = 6\n",
    "plt.rcParams['ytick.labelsize'] = 6\n",
    "\n",
    "fig, axs = plt.subplots(nrows=3, ncols=1, sharex=True, figsize=[1.3,4])\n",
    "axs[0].tick_params(which='both', direction=\"in\")\n",
    "\n",
    "for i_sample, sample in enumerate(samples):\n",
    "    print(sample)\n",
    "    df = SelectedData.loc[(sample)]\n",
    "    len_anodic_wave = len(df['df/n 3 (Hz)']) // 2\n",
    "\n",
    "    # Plot current\n",
    "    axs[0].plot(convert_potential(df['potential (V)'].iloc[:len_anodic_wave]), df['current density (mAcm-2)'].iloc[:len_anodic_wave],\n",
    "                       linestyle=lines[i_sample], color='black')\n",
    "    axs[0].plot(convert_potential(df['potential (V)'].iloc[len_anodic_wave:]), df['current density (mAcm-2)'].iloc[len_anodic_wave:],\n",
    "                       linestyle=lines[i_sample], color='black')\n",
    "axs[0].set_ylabel(r'$i_{\\mathrm{geo}} \\ \\mathrm{(mA \\ cm^{-2}})$')\n",
    "\n",
    "ovt_keys_f = SelectedData.keys()[5::2]\n",
    "axs[1].tick_params(which='both', direction=\"in\")\n",
    "for i_sample, sample in enumerate(samples):\n",
    "    df = SelectedData.loc[(sample)]\n",
    "    for i_ovt, ovt_key in enumerate(ovt_keys_f):\n",
    "        axs[1].plot(convert_potential(df['potential (V)'].iloc[:len_anodic_wave]), (df[ovt_key]-df[ovt_key].iloc[0]).iloc[:len_anodic_wave],\n",
    "                           linestyle=lines[i_sample], color=cm.gray(i_ovt*80), alpha = 0.4)\n",
    "        axs[1].plot(convert_potential(df['potential (V)'].iloc[len_anodic_wave:]), (df[ovt_key]-df[ovt_key].iloc[0]).iloc[len_anodic_wave:],\n",
    "                           linestyle=lines[i_sample], color=cm.gray(i_ovt*80), alpha=0.4)\n",
    "axs[1].set_ylabel(r\"$\\Delta f/n$ (Hz)\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "ovt_keys_g = SelectedData.keys()[6::2]\n",
    "axs[2].tick_params(which='both', direction=\"in\")\n",
    "for i_sample, sample in enumerate(samples):\n",
    "    df = SelectedData.loc[(sample)]\n",
    "    for i_ovt, ovt_key in enumerate(ovt_keys_g):\n",
    "        if i_sample == 0: \n",
    "            axs[2].plot(convert_potential(df['potential (V)'].iloc[:len_anodic_wave]), (df[ovt_key] - df[ovt_key].iloc[0]).iloc[:len_anodic_wave],\n",
    "                            linestyle=lines[i_sample], color=cm.gray(i_ovt*80), label=labels[i_ovt], alpha = 0.4)\n",
    "        else: \n",
    "            axs[2].plot(convert_potential(df['potential (V)'].iloc[:len_anodic_wave]), (df[ovt_key] - df[ovt_key].iloc[0]).iloc[:len_anodic_wave],\n",
    "                linestyle=lines[i_sample], color=cm.gray(i_ovt*80), alpha = 0.4)\n",
    "        axs[2].plot(convert_potential(df['potential (V)'].iloc[len_anodic_wave:]), (df[ovt_key] - df[ovt_key].iloc[0]).iloc[len_anodic_wave:],\n",
    "                           linestyle=lines[i_sample], color=cm.gray(i_ovt*80), alpha = 0.4)\n",
    "        sample_lines[sample] += [l5a, l5c]\n",
    "axs[2].set_ylabel(r'$\\Delta \\Gamma/n$ (Hz)')\n",
    "axs[2].set_xlabel('Potential vs RHE (V)')\n",
    "axs[2].legend(fontsize =6)\n",
    "\n",
    "\n",
    "for iax, ax in enumerate(axs):\n",
    "    if iax == 0:\n",
    "        ax.yaxis.set_label_coords(-0.27, 0.55)\n",
    "    else:\n",
    "        ax.yaxis.set_label_coords(-0.3, 0.5) \n",
    "    \n",
    "    ax.margins(x=0.1, y=0.1)\n",
    "    ax.set_xticks([1.0, 1.2, 1.4, 1.6])\n",
    "    ax.yaxis.set_minor_locator(AutoMinorLocator(n = 2))\n",
    "    ax.xaxis.set_minor_locator(AutoMinorLocator(n = 4))\n",
    "\n",
    "\n",
    "#fig.legend(bbox_to_anchor=(0.9, 0.05), ncol = 4, fontsize = 13)\n",
    "plt.savefig(fname=f\"result_{n_cycle}_left.tif\", dpi=600, pil_kwargs={\"compression\": \"tiff_lzw\"}, bbox_inches='tight', transparent = True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eba21b97",
   "metadata": {},
   "source": [
    "## Compare Samples Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "afbbf6f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristine_05_CV_C01.mpr', 'CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1_05_CV_C01.mpr', 'CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_1p0V_MSE_eq_1p93V_RHE_05_CV_C01.mpr']\n",
      "0 CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristine_05_CV_C01.mpr\n",
      "1 CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1_05_CV_C01.mpr\n",
      "2 CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_1p0V_MSE_eq_1p93V_RHE_05_CV_C01.mpr\n",
      "0 CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristine_05_CV_C01.mpr\n",
      "1 CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1_05_CV_C01.mpr\n",
      "2 CL20250801_001_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_1p0V_MSE_eq_1p93V_RHE_05_CV_C01.mpr\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 130x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np \n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import os\n",
    "from matplotlib import cm\n",
    "from scipy.ndimage import gaussian_filter1d\n",
    "\n",
    "n_cycle = 3\n",
    "\n",
    "def colors(i):\n",
    "    colors = cm.YlGnBu_r((i)*90)#cm.PuRd_r((i)*90)\n",
    "    return colors\n",
    "\n",
    "def convert_potential(E_old, pH=13, Eref_old = 0.1635): \n",
    "    E_new = E_old + Eref_old + 0.059*pH\n",
    "    return E_new\n",
    "\n",
    "def CalcSauerbreyMass(df_by_n: np.ndarray, Filter: bool = True) -> np.ndarray: \n",
    "    Zq = 8.8e6\n",
    "    f0 = 5e6\n",
    "    MassDensity = -df_by_n * Zq / (2*f0**2) * 1e5  # conversion of kg/m2 in ug/cm2\n",
    "    return gaussian_filter1d(MassDensity, 150, axis=0) if Filter else MassDensity\n",
    "\n",
    "def discard_points(y: np.ndarray, trsh: int) -> np.ndarray: \n",
    "    y[np.abs(y) > trsh] = np.nan\n",
    "    return pd.Series(y).interpolate().to_numpy()\n",
    "\n",
    "def sample_sort_key(s):\n",
    "    if \"pristine\" in s:\n",
    "        return 0\n",
    "    elif \"0p8\" in s:\n",
    "        return 1\n",
    "    elif \"1p0\" in s or \"at_1V\" in s:\n",
    "        return 2\n",
    "    else:\n",
    "        return 3  # fallback\n",
    "\n",
    "labels = ['Pristine', '1 h at 1.73 V', '1 h at 1.93 V', '45 MHz']\n",
    "lines  = ['-', '-', '-']\n",
    "\n",
    "SelectedData = AllEQCMData_indexed[AllEQCMData_indexed['cycle'].isin([n_cycle])]\n",
    "def sample_sort_key(s):\n",
    "    if \"initial\" in s or \"pristine\" in s:\n",
    "        return 0\n",
    "    elif \"at_0\" in s:\n",
    "        return 1\n",
    "    elif \"at_1\" in s or \"at_1V\" in s:\n",
    "        return 2\n",
    "    else:\n",
    "        return 3  # fallback\n",
    "\n",
    "\n",
    "\n",
    "samples = set(SelectedData.index.get_level_values('fname'))\n",
    "samples = sorted(samples, key=sample_sort_key); print(samples)\n",
    "fig, axs = plt.subplots(nrows=3, ncols=1, sharex=True, figsize=[1.3,4])\n",
    "axs[0].tick_params(which='both', direction=\"in\", labelsize=6)\n",
    "\n",
    "for i_sample, sample in enumerate(samples):\n",
    "    print(i_sample, sample)\n",
    "    df = SelectedData.loc[(sample)]\n",
    "    len_anodic_wave = len(df['df/n 3 (Hz)']) // 2\n",
    "\n",
    "    # Plot current\n",
    "    axs[0].plot(convert_potential(df['potential (V)'].iloc[:len_anodic_wave]), df['current density (mAcm-2)'].iloc[:len_anodic_wave],\n",
    "                       linestyle=lines[i_sample], color=colors(i = i_sample), alpha = 1, label=labels[i_sample])\n",
    "    axs[0].plot(convert_potential(df['potential (V)'].iloc[len_anodic_wave:]), df['current density (mAcm-2)'].iloc[len_anodic_wave:],\n",
    "                       linestyle=lines[i_sample], color=colors(i = i_sample), alpha = 1)\n",
    "axs[0].set_ylabel(r'$i_{\\mathrm{geo}} \\ \\mathrm{(mA \\ cm^{-2}})$')\n",
    "axs[0].legend(fontsize = 6)\n",
    "\n",
    "\n",
    "ovt_keys_g = [SelectedData.keys()[6::2][0]]\n",
    "axs[2].tick_params(which='both', direction=\"in\")\n",
    "for i_sample, sample in enumerate(samples):\n",
    "    print(i_sample, sample)\n",
    "    df = SelectedData.loc[(sample)]\n",
    "    for i_ovt, ovt_key in enumerate(ovt_keys_g):\n",
    "        axs[2].plot(convert_potential(df['potential (V)'].iloc[:len_anodic_wave]), (df[ovt_key] - df[ovt_key].iloc[0]).iloc[:len_anodic_wave],\n",
    "                            linestyle=lines[i_sample], color=colors(i = i_sample), alpha = 1)\n",
    "        axs[2].plot(convert_potential(df['potential (V)'].iloc[len_anodic_wave:]), (df[ovt_key] - df[ovt_key].iloc[0]).iloc[len_anodic_wave:],\n",
    "                           linestyle=lines[i_sample], color=colors(i = i_sample), alpha = 1)\n",
    "\n",
    "\n",
    "axs[2].set_xlabel('Potential vs RHE (V)', fontsize=7)\n",
    "axs[2].set_ylabel(r\"$\\Delta \\Gamma/n$ (Hz)\", fontsize=7)\n",
    "\n",
    "\n",
    "ovt_keys_f = [SelectedData.keys()[5::2][0]]\n",
    "axs[1].tick_params(which='both', direction=\"in\")\n",
    "for i_sample, sample in enumerate(samples):\n",
    "    df = SelectedData.loc[(sample)]\n",
    "    for i_ovt, ovt_key in enumerate(ovt_keys_f):\n",
    "        axs[1].plot(convert_potential(df['potential (V)'].iloc[:len_anodic_wave]), (df[ovt_key] - df[ovt_key].iloc[0]).iloc[:len_anodic_wave],\n",
    "                            linestyle=lines[i_sample], color=colors(i = i_sample), alpha = 1)\n",
    "        axs[1].plot(convert_potential(df['potential (V)'].iloc[len_anodic_wave:]), (df[ovt_key] - df[ovt_key].iloc[0]).iloc[len_anodic_wave:],\n",
    "                           linestyle=lines[i_sample], color=colors(i = i_sample), alpha = 1)\n",
    "axs[1].set_ylabel(r\"$\\Delta f/n$ (Hz)\", fontsize=7)\n",
    "for ax in axs:\n",
    "    ax.yaxis.set_label_coords(-0.3, 0.5)\n",
    "    ax.margins(x=0.1, y=0.1)\n",
    "    ax.set_xticks([1.0, 1.2, 1.4, 1.6])\n",
    "    ax.yaxis.set_minor_locator(AutoMinorLocator(n = 2))\n",
    "    ax.xaxis.set_minor_locator(AutoMinorLocator(n = 4))\n",
    "#fig.legend(bbox_to_anchor=(0.9, 0.05), ncol = 4, fontsize = 13)\n",
    "\n",
    "\n",
    "plt.savefig(fname=f\"result_cycle{n_cycle}_right.tif\", dpi=600, pil_kwargs={\"compression\": \"tiff_lzw\"}, bbox_inches='tight', transparent = True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9440a99",
   "metadata": {},
   "source": [
    "## Check Intercycle Variations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "576a6ec0",
   "metadata": {},
   "source": [
    "### Load the Data from File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c1957ca1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['/Users/leppin/Downloads/Research_ Leppin_2025 _Interfacial Softening and Electrolyte Uptake in Co3O4 OER Catalysts/Data/FastEQCM-D/HighLoading/after_1930mV/2025-08-01 CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_1p0V_MSE_eq_1p93V_RHE_seq1/CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_1p0V_MSE_eq_1p93V_RHE_seq1_ResPars.txt', '/Users/leppin/Downloads/Research_ Leppin_2025 _Interfacial Softening and Electrolyte Uptake in Co3O4 OER Catalysts/Data/FastEQCM-D/HighLoading/initial/2025-08-01 CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristine_seq1/CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristine_seq1_ResPars.txt', '/Users/leppin/Downloads/Research_ Leppin_2025 _Interfacial Softening and Electrolyte Uptake in Co3O4 OER Catalysts/Data/FastEQCM-D/HighLoading/after_1730mV/2025-08-01 CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1/CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_CA_1h_at_0p8V_MSE_eq_1p73V_RHE_seq1_ResPars.txt']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/3909305048.py:42: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  InterCycleDataOvt['Df by n [Hz]'] = (InterCycleDataOvt['f [Hz]'] - InterCycleDataOvt[InterCycleDataOvt['info'] == 'Pristine']['f [Hz]'])/ovt\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/3909305048.py:43: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  InterCycleDataOvt['DG by n [Hz]'] = (InterCycleDataOvt['G [Hz]'] - InterCycleDataOvt[InterCycleDataOvt['info'] == 'Pristine']['G [Hz]'])/ovt\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/3909305048.py:42: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  InterCycleDataOvt['Df by n [Hz]'] = (InterCycleDataOvt['f [Hz]'] - InterCycleDataOvt[InterCycleDataOvt['info'] == 'Pristine']['f [Hz]'])/ovt\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/3909305048.py:43: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  InterCycleDataOvt['DG by n [Hz]'] = (InterCycleDataOvt['G [Hz]'] - InterCycleDataOvt[InterCycleDataOvt['info'] == 'Pristine']['G [Hz]'])/ovt\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/3909305048.py:42: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  InterCycleDataOvt['Df by n [Hz]'] = (InterCycleDataOvt['f [Hz]'] - InterCycleDataOvt[InterCycleDataOvt['info'] == 'Pristine']['f [Hz]'])/ovt\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/3909305048.py:43: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  InterCycleDataOvt['DG by n [Hz]'] = (InterCycleDataOvt['G [Hz]'] - InterCycleDataOvt[InterCycleDataOvt['info'] == 'Pristine']['G [Hz]'])/ovt\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/3909305048.py:42: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  InterCycleDataOvt['Df by n [Hz]'] = (InterCycleDataOvt['f [Hz]'] - InterCycleDataOvt[InterCycleDataOvt['info'] == 'Pristine']['f [Hz]'])/ovt\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/3909305048.py:43: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  InterCycleDataOvt['DG by n [Hz]'] = (InterCycleDataOvt['G [Hz]'] - InterCycleDataOvt[InterCycleDataOvt['info'] == 'Pristine']['G [Hz]'])/ovt\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>f [Hz]</th>\n",
       "      <th>G [Hz]</th>\n",
       "      <th>file</th>\n",
       "      <th>n</th>\n",
       "      <th>info</th>\n",
       "      <th>Df by n [Hz]</th>\n",
       "      <th>DG by n [Hz]</th>\n",
       "      <th>mass [ugcm-2]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>1 h at 1.93 V</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.495787e+07</td>\n",
       "      <td>6915.622708</td>\n",
       "      <td>CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristin...</td>\n",
       "      <td>3</td>\n",
       "      <td>Pristine</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.495780e+07</td>\n",
       "      <td>6707.964181</td>\n",
       "      <td>CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_C...</td>\n",
       "      <td>3</td>\n",
       "      <td>1 h at 1.73 V</td>\n",
       "      <td>-21.830314</td>\n",
       "      <td>-69.219509</td>\n",
       "      <td>0.384214</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.495755e+07</td>\n",
       "      <td>6532.360308</td>\n",
       "      <td>CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_C...</td>\n",
       "      <td>3</td>\n",
       "      <td>1 h at 1.93 V</td>\n",
       "      <td>-104.049175</td>\n",
       "      <td>-127.754133</td>\n",
       "      <td>1.831265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.491882e+07</td>\n",
       "      <td>20128.452970</td>\n",
       "      <td>CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristin...</td>\n",
       "      <td>5</td>\n",
       "      <td>Pristine</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000000</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.491895e+07</td>\n",
       "      <td>19225.468469</td>\n",
       "      <td>CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_C...</td>\n",
       "      <td>5</td>\n",
       "      <td>1 h at 1.73 V</td>\n",
       "      <td>26.285364</td>\n",
       "      <td>-180.596900</td>\n",
       "      <td>-0.462622</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.491860e+07</td>\n",
       "      <td>18011.611779</td>\n",
       "      <td>CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_C...</td>\n",
       "      <td>5</td>\n",
       "      <td>1 h at 1.93 V</td>\n",
       "      <td>-43.369679</td>\n",
       "      <td>-423.368238</td>\n",
       "      <td>0.763306</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.487173e+07</td>\n",
       "      <td>29075.659065</td>\n",
       "      <td>CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristin...</td>\n",
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       "      <td>7</td>\n",
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       "      <td>-58.435323</td>\n",
       "      <td>-214.992425</td>\n",
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       "      <td>1 h at 1.93 V</td>\n",
       "      <td>-809.613183</td>\n",
       "      <td>-1467.957982</td>\n",
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       "  </tbody>\n",
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      ],
      "text/plain": [
       "         f [Hz]        G [Hz]  \\\n",
       "0  0.000000e+00      0.000000   \n",
       "0  0.000000e+00      0.000000   \n",
       "0  0.000000e+00      0.000000   \n",
       "1  1.495787e+07   6915.622708   \n",
       "1  1.495780e+07   6707.964181   \n",
       "1  1.495755e+07   6532.360308   \n",
       "2  2.491882e+07  20128.452970   \n",
       "2  2.491895e+07  19225.468469   \n",
       "2  2.491860e+07  18011.611779   \n",
       "3  3.487173e+07  29075.659065   \n",
       "3  3.487132e+07  27570.712089   \n",
       "3  3.486606e+07  18799.953190   \n",
       "\n",
       "                                                file  n           info  \\\n",
       "0  CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristin...  1       Pristine   \n",
       "0  CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_C...  1  1 h at 1.73 V   \n",
       "0  CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_C...  1  1 h at 1.93 V   \n",
       "1  CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristin...  3       Pristine   \n",
       "1  CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_C...  3  1 h at 1.73 V   \n",
       "1  CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_C...  3  1 h at 1.93 V   \n",
       "2  CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristin...  5       Pristine   \n",
       "2  CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_C...  5  1 h at 1.73 V   \n",
       "2  CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_C...  5  1 h at 1.93 V   \n",
       "3  CL20250801_001_#47_Co3O4Nps_CV_5mVpers_pristin...  7       Pristine   \n",
       "3  CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_C...  7  1 h at 1.73 V   \n",
       "3  CL20250801_002_#47_Co3O4Nps_CV_5mVpers_after_C...  7  1 h at 1.93 V   \n",
       "\n",
       "   Df by n [Hz]  DG by n [Hz]  mass [ugcm-2]  \n",
       "0      0.000000      0.000000      -0.000000  \n",
       "0      0.000000      0.000000      -0.000000  \n",
       "0      0.000000      0.000000      -0.000000  \n",
       "1      0.000000      0.000000      -0.000000  \n",
       "1    -21.830314    -69.219509       0.384214  \n",
       "1   -104.049175   -127.754133       1.831265  \n",
       "2      0.000000      0.000000      -0.000000  \n",
       "2     26.285364   -180.596900      -0.462622  \n",
       "2    -43.369679   -423.368238       0.763306  \n",
       "3      0.000000      0.000000      -0.000000  \n",
       "3    -58.435323   -214.992425       1.028462  \n",
       "3   -809.613183  -1467.957982      14.249192  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os \n",
    "import pandas as pd\n",
    "\n",
    "def CalcSauerbreyMass(df_by_n: np.ndarray, Filter: bool = False) -> np.ndarray: \n",
    "    Zq = 8.8e6\n",
    "    f0 = 5e6\n",
    "    MassDensity = -df_by_n * Zq / (2*f0**2) * 1e5  # conversion of kg/m2 in ug/cm2\n",
    "    return gaussian_filter1d(MassDensity, 150, axis=0) if Filter else MassDensity\n",
    "\n",
    "\n",
    "\n",
    "InterCycleData = pd.DataFrame()\n",
    "InterCycleFiles = []\n",
    "root = os.getcwd()\n",
    "if __name__ == \"__main__\":\n",
    "    for dirpath, dirnames, filenames in os.walk(root):\n",
    "        for file in filenames:\n",
    "            if file.endswith('ResPars.txt'):#eqcm\n",
    "                InterCycleFiles.append(os.path.join(dirpath, file))\n",
    "print(InterCycleFiles)\n",
    "f0 = 5e6\n",
    "for InterCycleFile in InterCycleFiles: \n",
    "    data = pd.read_csv(InterCycleFile, sep = '\\t')\n",
    "    data['file'] = os.path.basename(InterCycleFile)\n",
    "    data['n'] = (data['f [Hz]']/f0).astype(int) + 1\n",
    "    data['info'] = data['file'].map(\n",
    "    lambda idx: (\n",
    "        'Pristine' if 'ini' in idx or 'pristine' in idx else\n",
    "        '1 h at 1.73 V' if '0p8' in idx or 'at_0' in idx else\n",
    "        '1 h at 1.93 V' if 'at_1' in idx else\n",
    "        'unknown'\n",
    "    )\n",
    ")\n",
    "    InterCycleData = pd.concat([InterCycleData, data])\n",
    "\n",
    "InterCycleData.drop_duplicates(inplace = True)\n",
    "\n",
    "ovts = list(set(InterCycleData['n']))\n",
    "InterCycleChange = pd.DataFrame()\n",
    "for ovt in ovts:\n",
    "    InterCycleDataOvt = InterCycleData[InterCycleData['n'] == ovt]\n",
    "    InterCycleDataOvt['Df by n [Hz]'] = (InterCycleDataOvt['f [Hz]'] - InterCycleDataOvt[InterCycleDataOvt['info'] == 'Pristine']['f [Hz]'])/ovt\n",
    "    InterCycleDataOvt['DG by n [Hz]'] = (InterCycleDataOvt['G [Hz]'] - InterCycleDataOvt[InterCycleDataOvt['info'] == 'Pristine']['G [Hz]'])/ovt\n",
    "    InterCycleChange = pd.concat([InterCycleChange, InterCycleDataOvt])\n",
    "\n",
    "InterCycleChange['mass [ugcm-2]'] =  CalcSauerbreyMass(InterCycleChange['Df by n [Hz]'])\n",
    "custom_order = ['Pristine', '1 h at 1.73 V', '1 h at 1.93 V']  # define your order\n",
    "InterCycleChange['info'] = pd.Categorical(InterCycleChange['info'], categories=custom_order, ordered=True)\n",
    "InterCycleChange = InterCycleChange.sort_values(by=['n', 'info'])  # optional: also sort by 'n'\n",
    "InterCycleChange\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d98d9890",
   "metadata": {},
   "source": [
    "### Make a Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "75653b40",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:46: SyntaxWarning: invalid escape sequence '\\D'\n",
      "<>:47: SyntaxWarning: invalid escape sequence '\\m'\n",
      "<>:46: SyntaxWarning: invalid escape sequence '\\D'\n",
      "<>:47: SyntaxWarning: invalid escape sequence '\\m'\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/1252200349.py:46: SyntaxWarning: invalid escape sequence '\\D'\n",
      "  axs.set_ylabel('$\\Delta f/n, \\Delta \\Gamma /n$ (Hz)', fontsize=7)\n",
      "/var/folders/f2/krn3py8536556jbm969hx5380000gn/T/ipykernel_1454/1252200349.py:47: SyntaxWarning: invalid escape sequence '\\m'\n",
      "  sec_axs.set_ylabel('$\\mathrm{mass_{geo}}$ ($\\mathrm{\\mu g \\ cm^{-2}}$)', fontsize=6)\n"
     ]
    },
    {
     "data": {
      "image/png": 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Zzp8/T0FBAZGRkVhbWxMQENAsBH3k3/+mNDcX1969q6xNbu1Iq6ZaKZUDVmpCrVZz9epVzpw5w82bN3n22WcJDw+nrKwMU1NTNBoNffv2pWfPnlXCNhuTG3v3smPcOGRyOU/GxOB+1/LUuiKtmpJo8VQWsi7f2d0trampKT169KgScqpzipWVlVFYWMj69euRy+X06NGDwMBAHnjggUYLmSwrLOSPefMA6PvKK3oL2diQxNzKyc3N5ejRo9ja2t4zRVUdOi/3rl27sLW1xc/Pj8uXL3P+/HnOnz+PiYkJoaGhPNMI3uXjS5ZQcPs29l5ehDZAHi9DoczP5+b+/WRXhJw6+fnhPWYMFg4OepUr7WjRylGpVKSlpREfH09qamqtvuPm5sbEiRPF7KHDhw8nLCxMXPhQefG/SqXi0KFDNSZWrC1pMTGc+eorAEavW4d5C10wcWThQg7Om0dJVhYe/fvj0b8/pdnZ/DFvHkf0HP9LY2YJjh49SlxcHE5OTkyZMqXWCe4zMjLYvXs3ZWVl4uqrnJwczM3NRcdabGwsX1WI0NvbW5zycq1DgIdGpeL7vn3Jio3F/6mnCPv++7pXsgaaesxckJyMXQ3Xud97tUFqmSUICQnB0tKSnJwcLl68WOvvubq68vDDD2Nubi6ui747gZ+JiQldu3ZFJpORmJjI9u3beeutt1i2bBm7d++uVQreUytWkFWxc8TQzz6rTxWbBVqNBsu2bQFQVpNaSR8hgyRmCcqXLYaEhADl64jrkr63OkHr8opBeX7yRYsW8fHHH/Pkk0/i5+eHXC4nOTmZXbt2VblWSUnJPSuicuPjiaoYHw/9/HOs/yHhX3Pm0Pz5RL79NjcPHOBSNVve6EudxXzixAlefvllgoKC6NixI926dWPixImsXbu21oncJJoffn5+uLq6olKpiI6OrtN3/0nQUJ7PfOjQoSxcuJDPPvuMmTNn8uCDD1bJevL999+zePFifv75Z+Lj49FoNBx47jk0SiWeo0YZNCd1Q+DQuTNDV6xAkZhI8vHjDV5+ncQ8fvx4Nm3axOjRo9m1axeJiYmcOXOGZcuWoVQqmTJlCrt27WpwIyUaH5lMJq4fzsnJQaVS1en7tRG0DhsbGwYOHMjTTz8tTpFptVquXbtGdnY2Bw8e5OOPP2ZpWBhJR44gt7RkeEWe8paMa0W6ogeeew7PESMavPw6OcDy8vLEDA/6fMaQSA6w+5OcnKxX1pLqnGK1TfBfVlbGpUuXOHPmDLHR0Xj88AMmSiUZwcG4Tp2qVw70mjBE0Ej62bO4NUIesjr9x3QinTNnDmfOnKnyni5jY3MWssQ/06FDB712baxLC3035ubm9OnThzlz5jC8oAATpRJTT09U/fvj6+srfk6XM/z06dPiuu6WxIkPP2yUcuv1Xztw4ABz585l7dq14jmpe21cqNVqTp8+Xa+9rPQRNMD18HCu/fILMhMTpu3YwYrPPmPUqFHi+7GxsZw4cYK1a9fyyiuvsGrVKv766y+Ki4vrbKtBaKTZ4HqJ2cXFhWPHjnHs2DGeeuopSkpKGtouCQNz5MgRYmJi6uwM01FfQZcVFHCwUsimW2CguJ+Wjg4dOjB69GicnZ1RqVScO3eODRs2sHDhQr788sv7JtU3ZuolZkEQsLGx4X//+x8DBgxg4MCB4npZCePggYqdIOoSGXY3rq6uTJgwoU6CPr5kCQVJSTh4ezOwhpBNDw8Ppk6dyvLly3n77bcZN24cHh4eaDQaLl68WCU5YFpaGrm5ufWyv7Ho8+KLjVJuvWKzn3/+efH1/PnzCQkJYXUrTqRmjLi6uuLv709cXBx//vknU6dOrXVkWGVcXFyYMGECu3btEgVdk1Ms7cQJznz9NQCj1q3D7B+2xpXJZHTq1IlOnTrxyCOPiGGpbSsCMwC2bt1KbGwsnTt3ZsqUKfj4+NS5Dg1NxyFDKM3NJeG33yjNzRW73fou56yTmP/73/8C5Xsd6V7rGGrgXeMlGp6QkBBu3LhBbm4uFy9eFFvrulIbQWtUKvY/+ywIAv5PP41XpTFybbl7hxCtViv2BG7cuFGrDdqbiu1jx+I3fbq4v3NDUCcxx8bGiq+///57nn76afH3lj4HKHEvusiwo0ePcvLkyTrtgXU3/yTok598Uh6y6ezcYCGbcrmc1157jby8PC5evPiPm8M3JRaOjgS+9FKDllnvhRZ9+vTh7NmzDWpMUyDNM9cNQRDYsWMHGRkZdOvWjRF6BjtkZmaye/dulEqlOA9dePMm3/XqhUapJOz775s00ut+88w7J00iKSKCTiNGMHHbtirvqYqL+e3RR8lPTERmYsIDzz9P4IIFtb7ulV9+4erPP+PSqxdUNIShd+2NVVfqPaHYlC3xzZs3cXFxYejQoQwdOpTMzEygfDwUGhrKiBEjRA/mlStXePDBBwkNDeXQoUNNZqOxIpPJePDBB/H09KRfv356l+fi4sLDDz+MhYUFd+7cYc+ePez/17/QKJV4jRmD35NPNoDVDUPgyy8TdtdwsjIhb7zB7CtXePLECc6tWkVuQkKty4758EO8H3oIt379cOvbF7eGSLQg1JM+ffrU96t1JjExUXj00UernFOpVEL//v0FpVIpHD9+XPjXv/4lCIIgTJo0Sbh27ZqgUCiE0NDQe8pKSkoSACEpKalJbJeonoyMDGHDhg3Cl08+KXwCwufW1kLujRtNbkdmUpLwCQiZNdwPt44cEXbede9Vx44JE4SkP/+s9XV3TppU68/WljqNmV1cXJDJZAiCQF5enrgmVajIJ5WRkaH/06UGIiMjxf2HPvjgA+Lj4/Hz88Pc3JyBAweKoX6pqamix9LJyYmsrKz77mIoUXdKSkru2Ruqrri4uDAyOJitFV1T+6lTsW6CDdHVSiWaSlFjZQUFepeZn5RE5oULuAYG1vo7quJito0Zg3OvXmIvd8jHH+tlR53ErOveNjUeHh4kJCRgbW3Ns88+y44dO/Dw8KiyBahGowHKPZg6HBwcyMnJqVbMBQUF4i4QUJ5Pujl5O5sjKpWKyMhIrl+/zhNPPKF3rq/z77+PUFyMiacnpf36sWfPHsaPH1/rWO76cOLDD4luwJRDaqWSPY8/zpBPPqlT9pOQxYsbzAYdzSoH2J07d3jiiSfuOb9lyxbc3d0BmDx5Mn/99Rd+fn5VxKibA60cV6xQKKoslK+Mv79/ld/fffddMb5conpMTU3Jzs6mrKyM6OjoWuUMq4nru3dztSJkc+zGjUTdvEl6enqjCzpk8eIq87nZKSn8eNe9UFsEQWDfM8/gHRZG9ylT6vRd54AArCrmwwVBoFTPtEpQRwfYqFGjWL9+/T0ttFarJTo6mhdeeIHNmzfX2xh3d3dxg/HKR+UW4NixY3Tt2hUfHx8uX75MWVkZUVFR9OrVCyhvxa9fv05BQUGNrTJAXFwcCoVCPBY3wpPS2Ki8TFKfyDBlfj4HX3gBKA+U8B0+XHSK6QRdl1juumBqYYGFvb14mFfaJreuHFu8GFNrawYsWVLn7+5+7DHxtUwmq/J7famTmHfu3ElRURHjx48X8zn5+fnRpUsX1q1bx4wZM5g5c6beRt3N8ePH6du3L4MHDyYlJYXp06djZmbGv//9b4YOHcqSJUtYUvEH/eCDD5g5cyZjxoy5b0trZ2eHvb29eEhd7NqhiwwD+PPPP8XhTV04/tZbFCQn49C5M6EV/6PKXu7GFnRt+WXkSHZPnUri3r2s7dCB1OhotoeFUZiaSkFyMjEffcSdmBi+692b73r3JnH//lqXrb1rvbimAepa73nmsrIysrOzsbS0bFGbWEvzzPpTWlrKTz/9RGlpKaGhoXWKDEuNjubHgQNBEJhy4MA9kV6V56F1aX0bcwxtqCT4B198EbmJCR2GDCH56FG0ajUjV63Sq8x6zzObm5vj4eHRooQs0TDUN2eYpqzs75DNZ56pNmSzObbQjcHIlSvxHDmSvIQEPEeO1FvIICX0k6gnupxhJiYmtcqwCRDz8cdkX7qElYsLw+4TslmdoFtiEoJ/osvDDxP8n//Q5eGHG6Q8ScwS9UImkzFy5EimTZtG+1rMD+dcvcpf778PwPAvvhA9uTVxt6DDw8ONUtANiSRmiXrj4OBQqw3jBK2WA//6F5qyMrweegjfadNqVb4k6LpRr3nmuLg4fvvtNxwdHenRowc9e/aUxs6tGEEQuHHjBiqVqkquLh2xGzaQ/OefmFpbM2rNmjrF9esEvXv3blHQ48aNa/GzD/tmzaryd5CbmeHYtSu9nn0Wy3rm0atXyzxhwgSsra0pKipiw4YNjBgxgi7Shtetllu3bnHgwAGOHz9+jzOsMC2No6+/DsCg//f/cPDyqnP5xjiGNrOxod2AAfR58UXaDxwIgKWjI3sef7zeZdarZXZ3d+fll1+ucq4+840SxoGnpyeurq5kZGTcExl2+KWXUCoUuPXrp9f63crroTMyMsRIsZbaQudeu8bIlSsBcAsM5MqWLYxet464H36od5n1aplHjBjBpk2bqpyrT0oZCeNAt0wSqkaGJezaxbVt25CZmDBm/Xrket4jzs7OTJgwAQsLC1HQLbWFtnBw4PiSJcT/+ivH334bizZt0KrVmNna1rvMeon51KlTLF26FG9vbx577DE++OADdu/eXW8jJFo+Li4u4qbsf/75J8W5uWLIZtBrr+Faz5RDd2Msgh6/ZQuuffqQGx+Pa58+DF6+HLmpKY+Gh9e7zDqJ+caNGwCEh4dz69YtLly4wCuvvIKrq6uUCECC4OBgLC0tyc3NZfe8eRSmpODYpQsD3n23Qa9jDILeP3cuN8LDyb58meu7dvHrhAl6l1mnMfOSJUu4ceMGgYGBjB49mhEjRjBgwAAGDBigtyESLR9LS0v69+/PoY0bSfrlF6Aiy6aea5+rQyfoljqGDqq01U7e9euYNEDIap1a5h9//JHo6Ghmz55NXFwcjzzyCMOHD+f999/nxIkT92zHKdH68OncGbZtA0Ggx8yZjbJBmo6W3EI79+ghHl0nTCA/KUnvMuu00OK3335j4sSJVc4VFhZy+PBh9u/fz8mTJ4mJidHbqMZEWmjRuES//z6R77yDlYsLsy9f/sdIr4YgKyuLXbt2oVQqcXV1rVMLbaiFFhGvvy7OMxemppKXkECHCidifTOO1EnMgYGB92wY19KQxNx4ZF+5wn8feABNWRnjfvwRv2nTKCoqwtLSstFnO+oraEOJOeno0Rrf6zhkSL3KrNOYWepGS9SEoNXyR0XIpvfYsfg+8QSXLl0iOjqaoKCgeifQry26Lvfu3btbxBi6voK9H3UaM0uJ7iVq4sL69SQfO4aZjQ0jK0I25XI5KpWqTssk9cHZ2ZmHH34YS0vLZjuGjt20qdpEBJqyMmLvit2oK3VqmS9cuCBm5KxMU2TnlGi+FKal8ed//gNUhGx6egLg6+tLXFxctZFhjYVO0M21hbZxd2f3Y48haLXYV4S2KhITkZuY0Ou55/Qqu96ZRloq0pi54fltyhTit2/HPSiI6dHRVSK9MjMz2VaxG8SECRNqtVyyIcjKymL37t2UlpbedwxtqDGzUqEg59o1AJy6dcPCwUHvMhtkCWRGRoa0C2QrJeG334jfvh2ZiQmjv/32npDNypFhx44da7IY/ube5bZwcMAjKAiPoKAGETLoIeacnBy+/fZbRowYQd++fXm9YmWMROtBqVD8HbL5+us1hmxWjgy7ePFik9mnc4o1V0E3NHUSs0KhYPPmzTz00EP07t2b2NhY3n33XW7dulXtWFrCuPlz8WIKU1Nx7NqVAffZ9EwXGaZziDUlbdu2rSLomzdvNun1a4MyP59bhw6hrJQHvj7UyQHm6urKAw88wIoVKxg8eHAV77bk6W5dpERGcn7NGgBG1yJk09fXl3bt2uHQQF3KuqATdGpqKt27d2/y6/8TUcuW4TVqFFHLljHs00/rXU6dWuZvvvkGFxcXZs6cySuvvEJkZGS9LyzRclErleVZNoGAWbPoNHz4P35HJpMZRMg62rZtS8+ePQ12/fth2aYNnqNGYalntp46iXnGjBmEh4dz+vRpevbsybJly/D09OSll16isLBQL0MkWg4x//d/5Fy+jLWrK0NWrKjz9zMzMzl8+LCU0KKC9qGhRLz6qphxpL7UK9NImzZtmDNnDnPmzCEzM5Pt27eLHksJ4yb78mVOLF8OwPAvv8Sqhr28akKj0RAeHk5JSQlt27Zt9MiwlkBbf3/k5uY46pl6S++pKRcXF55//nmOHDmib1ESzRxBq+XAs8+Wh2yGhdG9HvmqTExM6pVA35g5u2oVGefOkfDbb3qVI6Xalag157/5hpTISMxsbOqcZbMyvr6+uLq6olKpiI6ObmArWyAyGea2thTrGUHZIGJOS0sz6vk7CShISeHPRYsAGLx8OfadOtW7rLtzhqWkpDSIjS0VE3NzTn/xBZ4jRlCmh++pQcT89NNP4+vry2uVsidIGBeHFyygLD8fj5AQes+fr3d5hooMa44oEhMJfPllYjduJPI+8/X/RINstn7w4EEArly50hDFSTQz4n/9lfhff0VualptyGZ9CQ4O5vr16+Tm5nLt2jX8/PwapNyWhoOXFwEzZlCYkoKth0e9y2nQHS2q281AomWjVCg4WNESB/3nP7g04FytpaUlAwcOpKysrFkGcwBc37OHiFdfRdBqCV60iF5z51Z5vyQ7m99nzyb36lWQy5m8e3edvdLtBgzgyCuv0Hn8eFx69aq3rfVaNdW1a1cWLFiASqUiNjaW2NhYFAoF169fr7chTYW0aqpu/DFvHufXrqWNjw8zLlzAtBZ7S7Uk7rdqSqtWs8nfn8eOHMHCwYHv+/ZlelRUlVRI4U89ReewMPymT0dVXIwgCJjb2DR1NYB6jpl1O1q89tprfPfdd5w5c4ZrFcu59EGhUBAcHIytrW2VgPytW7cSGhrKiBEjSE5OBsq79A8++CChoaFimt+ioiImT57MoEGD+LieeZQk/ib5+HHOr10LwKhvvml0IavVahQKRaNeoy6kxcTQtkcP7Nq3x9zWFu+xY7l54ID4vlKhIP3UKfymTwfAzNq61kKOeu89AG7s28fmXr04/cUXetvbrHa0sLa2Jjw8nClTpojn1Go1n332GREREbz33nu8X7Et6JtvvsmGDRv4/fffeafCabB+/XrCwsI4fvw4hw8fbvVeUn1QK5UcqAjZ7DlnDp2GDm3U62VlZbFlyxb27dvXqM4wtVKJMj9fPMoKCmr8bGFqKraV1l/btm9PYaV7SpGYiJWzM+FPPsl/+/ThyCuvoFWra2VHckUOsCs//sjTp09zrWLNtz40qx0tzMzMcHFxqXIuPj4ePz8/zM3NGThwIBcuXAAgNTUVHx8f7O3tcXJyIisri6ioKEaPHg3AqFGj7juHWVBQQH5+vnhIU2tVOfHhh+RcuYK1mxtDPvmk0a9nZ2eHSqVq9GWSJz78kK8dHMTjR3//epelVatJi4kh6PXXefr0aYozM7lYy9Q/qqIiEn//HQtHR0zMzJA1QGPY7He0yM3Nxd7eXvxd99TWarXiOQcHB3Jycqp8VneuJvz9/XFwcBCPDz/8sFHsb4lkxcX9HbL51Vd6LwCoDRYWFvTv3x9o3MiwkMWLWaBQiMf0uLgaP2vbrl2VlrgwJQXbdu3+fr99exy8vXHt3RuZXE7XiRPJOHeuVnYM//JLUqKi6P/226iVSnwmT653nXQYZEeLO3fu8MQTT9xzfsuWLbi7u1c55+joSH6ldZ667rxc/vdzSKFQ4OTkJH7W0dERhUKBZ0UuquqIi4urksKmueSIMjS6kE2tSkXn8ePpPnVqk13b19eXy5cvk56eTlRUFKNGjWrwa5haWGBa6X9tfp81xB7BwWRdvEhBSgoWDg4k7tvHgLffFt+39fDA2tWVvMREHL29SYqIwKmW02uJ+/czcNkyEn//nT8XLSJg1qz6V6oCg+xo4e7uTkRExD3H3UIG8PHx4fLly5SVlREVFUWvCte9h4cH169fp6CggJycHJydnQkNDRXnvA8ePCg+6avDzs4Oe3t78ZDEXM75detIjYrCzNaWkatXN+k6dZlMxuDBgwFISEgwuM9DbmrK0E8/5Zdhw/hv7970e/VVrNq2ZXtYGIUVO10O+/xzdj36KJt79qQsP59eFX6GfyL56FFkMpk4Zo7fvl1/g4U6sHz58nvOFRQUCL/99pvwwgsvCEFBQXUprlrGjh0reHh4CP379xc2bdokCIIgbNmyRRgwYIAwbNgw4fbt24IgCMKlS5eEQYMGCQMGDBAOHDgg2jJx4kRh4MCBwocfflht+UlJSQIgJCUl6W2rsZGfnCx8aWcnfALC6a++MpgdR48eFVavXi389NNPglqtbtRrZSYlCZ+AkNnE98MPISHCjX37hIMvvigIgiD89OCDepdZJzEHBgYKgiAIAwcO1PvChkISc838+sgjwicg/BASImgaWUT3o7S0VNi4caOwd+9eoaSkpFGvZSgxp/71l3D8nXeEwvR0QVVSIpz64gu9y6zTmLlfv36MHTuW27dvs2PHDgICAvDx8ZFSBhkB13bsIGHnzgYP2awPFhYWPPbYY9gYKPiiKXAPDqasoICb+/eDIDSIk7FOYl63bh0XLlwgLCyM6OhovvnmG+Lj42nTpg0BAQFs3rxZb4Mkmp7SvDwOvfgiAMGLFjVoyGZ9MWYhA+x+/HFs27Ujcd8+vMaMoSQrix7PPKNXmXWOze7Vqxd//PFHlaD4lJQUdu7cqZchEobj2BtvUJSWRptu3ei/ZImhzalCcXExf/31F927d2+yBPpNQXF6OhN++YUt584x4quv2Dlpkt5l1itoxM/PT8ybPXLkSPr3789/KrYnkWhZJB87xvl16wAY3QQhm3Xl7NmzXL161eiWScpMTBC0WizbtCF240byGmBdg155sy9cuMA777wj5c1uoahLSznwr38B0HPu3EbZmVBf+vXrJybQj42NNbQ5Dcb4LVsQtFpGrVmDMi+PcT/8oHeZUt7sVsxfy5f/HbLZTBem6CLDIiIiOHXqFD4+PkYxnjYxMyPuhx8ozc1FEARuHTyo1/JHkPJmt1oyL14k5v/+D4ARX3/dJCGb9cXX1xc3NzdUKhVRUVGGNqdB2D52LGUFBdh36oSDlxf294lWrC11aplnzJjBjBkzyM3NZceOHSxbtoyrV68yceJEKW92CyHt5EnOrVrFlS1b0KpUdHn4YbpVWqXWHNFFhm3fvp2EhAT8/f1bvDPMwtGRwAULGrRMKW92K0BVUsLVn3/m3OrV3Dl5UjzvHhzMqLVrW8QQycXFBX9/fy5dusSpU6davJgDZs/mt0cfLe9aV/z9Q/XI/wUNkANMlzf7+eef17coiQYmLzGR82vWELthA6UVK8hMzM3p/vjj9H7hBTxCQlqEkHWEhIRgZmZGYGCgoU3Rm5gPP6T3Cy9gU2kVlr40SEI/ieaDoNWS+PvvnF21isR9+6Bi8Yu9pycPPP88PefMwfquNeMtBQsLizqv0GuuOHh713pRRm2RxGwklGRnc3HTJs6tWYOiYt05gNeYMfSZPx/vsDCDhmg2NIIgcOfOHTz0yGZpSFTFxWwbMwbnXr3E3pG+MwqSmFs4d06d4uyqVVzdsgV1aSlQ7lwJmDWL3vPm0cbHx8AWNjxarZY9e/aQkpLChAkTWuT4OWTx4gYvUxJzC0RdWsoVnUMrJkY879qnD33mz8d32jTMrK0NaGHjIpfLcXR0JCUlhWPHjjF16tQGyUHXlDRGgI4k5hZEXmIi59eu5eKGDZRkZwMVDq3HHit3aPXv36IcWvoQEhIiJtCPjY2ld+/ehjbJ4EhibuYIWi2J+/dzbtUqbuzdKzq07Dp1ovfzzxMwZw42rTCU9u7IsK5du2Jra2toswyKJOZmSklODhc3brzXoTV6NL3nz6fzuHFG5dCqD5VzhkVHRzdKzrCWhCTmZsadU6c4t3o1V3766W+HloMDAbNm8cC8eTh162ZgC5sPxhgZpg+SmJsB6tJSrv7yC2dXrarq0Ordm94VDi1DbXnS3NFFhqWmprY4J1hDI4nZgFTn0JKbmdF96lR6z59PuwEDWo1DSx8GDBiAXC6XxGxoA1obokNr9WpuhIf/7dDq2LE8Qmvu3Fbp0NIHMzMzQ5vQLJDE3ESU5ORwcdMmzq9ZUyWrhOeoUfR+4QW6jB+P3FT6d+iDRqPh/PnzKBQKhg0bZmhzmhzp7mlk7pw+Xb7k8C6HVo+ZM+k9bx5OzXRf4pZIbm4uMTExCIJAt27dWp0zTBJzI6AuLeXq1q2cW7WKtBMnxPMuDzxQHqE1fbrk0GoEnJ2d6dGjBxcvXmyxkWH6IIm5AVHcvMn5tWuJ3bCBkqwsoJJD64UXaBcaKjm0Gpng4GASEhJaZWSYJGY9EbRabh44wLnVq7m+Z8/fDq0OHf52aLm5GdjK1oNumeSRI0daXWSYJOZ6UpKTw6XNmzm3Zg15CQniec+RI+k9f77k0DIg3bt3Jy4urtVFhkl3Wx1JP3OGszqHVkkJAOb29gTMnEnvF16QHFrNgMqRYTdu3CA/P7/KHt/GiiTmWiA6tFavJu2vv8TzLr160Xv+fPyefFJyaDUzXFxcGDx4MO3bt28VQgZJzPdFcetWuUNr/foqDq1uU6bQZ/58yaHVzGmIJJPX9+wh4tVXEbRaghctotfcuVXeT4uJ4fdZs9Aolfg/84zeSfn0QRLzXQhaLTf/+KN8yWF4OIJWC5Q7tHo99xy95s7FpppN4SWaNxkZGdjY2NQpgb5WrSZi4UIeO3IECwcHvu/bF59Jk7Bq21b8zMH58xn/00+07dGDnwYOxGfSJINtvCeJuYLS3Fwubt7MudWrqzi0Oo0YQZ/58+ny8MOSQ6uFcv78eaKioujatWudnGFpMTG07dEDu4rgE++xY7l54AB+06YBUJiaiqBWiztR+D7xBDf27DGYmOu1cVxjoVAoCA4OxtbWlosXL4rnfXx8GDp0KEOHDuWPP/4A4MqVKzz44IOEhoZy6NAhAIqKipg8eTKDBg3i4zomR9s+diwRCxeSl5CAub09gS+9xKzLl3ns4EF8Jk2ShNyCadeuHSYmJtja2qIqLUWZny8eZQUFNX6vMDUV20pRZLbt21OYknLf9wsqvd/UNKs71NramvDwcF5//fUq5x0cHIiIiKhy7s0332TDhg24ubkxduxYRowYwfr16wkLC2Pu3Lk89NBDPPnkk7UO6esxcyaq4mL66BxarWRusjXg4uLC008/jZWVFZFLlxK9bJmhTWoUmlXLbGZmhks1OZ0LCwsZMmQI06dPJ6cimXtqaio+Pj7Y29vj5OREVlYWUVFRjB49GoBRo0YRHR1d47UKCgrIz88XD6/HH+fmpEn4zpzZKoSsVCpZunQpSqXS0KY0CXK5nKVLl9Jn4UIWKBTiMT0ursbv2LZrV7UlTknBtlLS+n96v6lpVmKuicjISI4ePcpDDz3Eu+++C5SnW9Xh4OBATk4Oubm54jSE7lxN+Pv74+DgIB4fffwxy957r9Xc3EqlkmXLlrW6+qoBC3t78TC3s6vxOx7BwWRdvEhBSgplhYUk7tuH15gx4vu27dohMzEh88IFtBoNV7ZsocvDDzdBbarHIN3sO3fu8MQTT9xzfsuWLbhX4yluW+E9nDJlCuvXrwfKn7Q6FAoFTk5OODo6kp+fj6OjIwqFAs/77KwXFxdXpQuuVCr5v4pdESUkAOSmpgz99FN+GTYMQasl6D//waptW7aHhTFm/Xps27VjxMqV7Jk2DXVpKf5PP20w5xcYSMzu7u73jIFroqysDEEQsLCw4NixY3Tt2hUADw8Prl+/jqurKzk5OTg7OxMaGsrBgweZPXs2Bw8e5Ntvv62xXDs7uyrBBPn5+XrVScI46TphAl0nTKhy7tG9e8XX7fr3Z9alS01tVrU0KwcYQFhYGOfOnePq1as899xzjB07lrCwMGxsbLCwsGDjxo0AfPDBB8ycORONRsOyCofG3Llzeeqpp9i4cSPjx4+nQ4cO95Sv656npaVVOV9Q4dVMSUlpFcKW6ltOTloapVQdtrVUZIJQscynlXDy5EmCg4MNbYZEM+N8TAy9goIMbYZetDoxq9Vqzp49i5ubW5Vxt0TrRKvVkpeejn+fPpi28FiCVidmCQljRWqaJCSMBEnMEhJGgiRmI2f16tWo1WpDm9Fk7Nixwyg80/VBErMRk5aWxrVr10hNTQXA2N0jZ8+eJTIy0tBmGIxWJWaNRnPPOWN+irdp0waAn376CcDoEyn4+Phw69YtvvrqK0ObYhBajZgFQcDExISkpCSWL1/OihUryMvLM7rpKUEQSExMJCcnB0tLSxYvXsyRI0c4fPiwoU1rFARBoLi4GJVKha2tLStWrCAmJoa4+yygMFaM606+DzKZjPz8fJ566il69+7N1atXmT59utgyG0sX9Oeff2b58uUsWbKEw4cP4+bmxsyZM8nIyACq7520ZNasWcPTTz/N559/TnR0NF5eXvTs2ZP09HTAuHted2P088yCIIjdy0uXLrFp0yYWLVrErFmzePvtt3F2dqZDhw5YWFgY2NKGIy0tjdOnT/PRRx8xe/ZsLl68SEJCAuvWrat2IUtL5/Tp0yQkJLBixQqWLl1KVFQUp06d4scffxQX6bQGjLpl1mq1yGQyiouLAfDz8yM7O5uAgAA+/fRTAF555ZX7LpVsibi7uzN+/HjWrVuHg4MDWq2W33//nbVr1xplS9W3b18ef/xxVq5cyZUrV4DyZbN79uwxmh5XbWjZ8Wv3QaPRYGJiwp07d3jssccYPHgw/v7+vPjiiwBs2rSJyMhI1q1bh4eHh4GtrT9arZZPP/2U9u3bExQUhI+PD1DeI/H398ff35/Jkyfj7e3N5MmTW7yPQKvVsnbtWvz8/OjevTvtKpIBCIJASEgIgYGBqFQqlEolw4YNM3qnX2WMupudl5fHv//9b4YOHUrXrl05evQo7du3Z9q0aSQnJ2Nra4tbC946RqvV8tRTT2FjY0NQUBCZmZm88cYbmJiYoNVqkcvl4kPNGNDVVy6X06tXLzp27Mi0iuR6uvrqfrZGjK7Wy5cv5/LlywAcPHiQjIwMOnTowKBBgxg5ciRxcXFs3bqVLl26tGghA+zcuRMnJye+/fZbpk6dSlpaGkePHiUuLk68oY1FyAAbN27Ezc2NH374gVGjRnHy5EkuXLjAzZs3xfq2ViGDEXazX375ZeRyOfv27WPChAkUFxcTHR2Nvb09ISEhmJqa3jcDSUtAEATOnDnD5MmTmTx5MgArV67k4MGDeHt7s2PHDrZt29aihw/VMbdSAvqdO3fy+++/4+DgwI0bN/jiiy/EefXWitGI+fDhw/Ts2RMXFxf27t3LW2+9xaJFi5g6dSrbtm1j586dyOVy+vXrZ2hT9UKr1TJu3DgUCgVRUVHi+fHjx/Pmm29iYmJCUVGR0Th+tFotq1atwtzcnEcffRQ7OzssLCwIDQ3l3XffRSaTsWzZMszNzQ1tqsExmj6JnZ0dw4YNo0ePHvj7+/Prr7+yceNGdu3axaOPPkrPnj3x9vY2tJl6IQgCTz75JKGhoXTp0oXly5eL7/Xp0wcTExN+/vln9u/fbzSOn6lTp5KZmUlKSgpffPEFu3btorS0lDFjxiCXy9m6dStHjhyhqKjI0KYaHqGFo1arxdfz5s0TvLy8hISEBEEQBCExMVEICgoSdu7caSjzGpTw8HDh008/FQRBEG7duiW88cYbQkZGhiAIgqDRaIQTJ04IwcHBwpUrVwxpZoOyaNEiQalUCoIgCCtWrBDGjh0rHDx4UBAEQYiIiBD69+9vVPXVhxbdMus8tWlpaaxbt45FixaxZs0apk+fzrVr13BycuK9996jT58+hja1QRg1ahQLFy4EwNzcnNTUVI4fPw6UO34CAgLYtWsX3Y1kW1mVSkVhYaGYmHHgwIGYmppy4MABALy9vdm+fbvR1FdvDP000Zf09HShT58+wt69e8VzR44cEfr27SuMGjVKSE9PN6B1jYNWqxUEQRCOHTsmDB061KhbptTUVGHGjBnCokWLhGHDhgkXL14UFi9eLNy5c8fQpjU7WqQD7L333mPGjBl4enpy8uRJJk6ciL+/PwsXLiQ9PZ13332X//3vf9jZ2eHq6mpoc/Xm7rlTmUyGIAgMGjSI4cOHc/36daNqnSrPGXt4eLBq1SrkcjlqtZoLFy4QExMjObyqoUV2sxcsWICbmxsxMTF06dKF7Oxs1qxZw4svvkhgYCDnz5+vEh3UEtFqtcyYMYOkpCTkcvk93mmdg6tHjx4EBgYawsQGpbr66gRtY2ODlZUVxcXFbN26VZqGqgkD9wzqhM7ZlZGRIXz++edCQECAEB0dLb7/xx9/CIGBgaIDrCWzYMECwc3NTZgyZYqQkpIiCMLf3WtBEITz588byrRG4Z/qe+nSJUEQBKG4uNgg9rUEWkTLLAgCkZGRxMbGotFoeOmllxg/fjwbNmzgzTffZO/evSiVSnbv3s2PP/5Ily5dDG2y3rz00kvcuXOHYcOG8fzzz5OcnFxlumnnzp1kZmYazXzyP9X3l19+ITs7GysrKwNa2bxp9rHZWq2W6dOnI5fLUSgUpKenY29vLy62j4yMZMGCBaxevZrAwECjGUupVCrMzMwA+Pzzz4mIiGD79u1cuXKFtm3bGl10V2urb6Ng2I7BP/PII48IEydOFAShvIvVv39/wcvLS3jnnXeErKwsQRAEISoqSrh586YBrWw4KnctK7/+7rvvhG7dugkPPvigkJqaagjTGoXWVt/GpNl3s+fMmYOtrS0HDhzAysqKKVOm8NJLL+Hm5sZHH31EXl4eAwYMaPHx1pcqNh+r3LXUea0BfH19UavVrF271ihaqdZW36ag2Yt5/PjxzJkzh++++46vv/6aP/74g5CQEEaOHEmnTp2MIo1sYWEhN2/e5OWXX2bAgAFcvnxZTCKgu9k7duzIoUOH8PPzM6SpDUJrq29T0SLmmYcNG4ZGo2Hu3LnMmTOH0NBQtFotXl5eRjFGtrW1pUOHDkRERNCxY0fxBtbNtwqCYFStU2urb1PR7B1glTl8+DBffvklCxYsYOTIkYY2R2904ahqtRpTU1P27t1LamoqSUlJLFu2jLS0NKO6qVtbfZuaFiVmgGPHjuHt7V3t3sstCaEi0WBycjKvv/46Xbp04YknnsDExISDBw9y6NAhiouL+eWXX3B0dDS0uXrT2uprCFqcmI0JhULB2LFjefvtt9m/fz+XL19myZIl+Pj4cOrUKXx9fenatauhzWwwWlt9mxpJzAYkOzub+Ph4OnfuzPTp0/H39yc1NZVXX32VAQMGGNq8Bqe11bepafbebGOmbdu2hISEsHXrVhYsWMCcOXMQBKHFJ1GoidZW36amRXizjRXdONLCwoL9+/dz/Phxtm3bZpSJ6qH11bepkbrZTcDp06fp27cvGRkZ7Nmzh759+9KjRw9MTcufpWq1mqSkJKysrIzixm5t9W0uSGJuZPbv309kZCRBQUFs3rwZe3t7PD09cXd3Z+7cueINbiy0tvo2J6QxcyPTu3dvunXrxr59+/Dy8mLTpk2MHz+e3Nxcvv76a6OIYKtMa6tvc0IScyPj5uZGWFgYAwYMID8/n8jISPr168eQIUPQaDQUFhYa2sQGpbXVtzkhdbObiJycHPbs2UN6ejpBQUEMHTqU0tJSLC0tDW1ao9Da6tsckFrmBkSr1fLyyy9z+fLle5IGODk5ERYWhqOjI2fOnKGkpKTF39itrb7NHckb0YDMnTuXffv2YW1tzaxZs+jWrVuV952dnZk8eTJmZmZGkTGjtdW3uSN1sxuQW7du4enpycqVK0lISOD555+ne/fuRrO7xN20tvo2dyQxNyCVU+J++umnJCcn8/bbbxMfH4+9vb3Rrc1tbfVt7khibmB0UU5QvqH7f//7X+RyOT/88INRLu9rbfVtzkhj5gZGl/pGJpPRsWNHUlNT+e2334z2xm5t9W3OSC1zI5KcnExZWRmdO3c2tClNQmurb3NDErOEhJEgzTNLSBgJkpglJIwEScwSEkaCJGYJCSNBErOEhJEgiVlCwkiQxCwhYSRIYpaQMBIkMUtIGAmSmCUkjIT/D3U0jAouiFm5AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 170x170 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np \n",
    "import pandas as pd\n",
    "import matplotlib.cm as cm\n",
    "from matplotlib.ticker import MaxNLocator\n",
    "\n",
    "def colors(i, colorlist=cm.gray, increment=50):\n",
    "    return colorlist(i * increment)\n",
    "\n",
    "fig, axs = plt.subplots(nrows=1, ncols=1, figsize=(1.7, 1.7))\n",
    "ovts = set(InterCycleChange['n'])\n",
    "axs.tick_params(which='both', direction='in', bottom=True, left=True, labelsize=6)\n",
    "sec_axs = axs.twinx()\n",
    "\n",
    "for iovt, ovt in enumerate(ovts):\n",
    "    InterCycleChangeOvt = InterCycleChange[InterCycleChange['n'] == ovt]\n",
    "    \n",
    "    # Plot Δf/n if non-zero\n",
    "    if (InterCycleChangeOvt['Df by n [Hz]'] != 0).any():\n",
    "        axs.plot(\n",
    "            InterCycleChangeOvt['info'],\n",
    "            InterCycleChangeOvt['Df by n [Hz]'],\n",
    "            color=colors(iovt),\n",
    "            linestyle='-'\n",
    "        )\n",
    "    \n",
    "    # Plot ΔΓ/n if non-zero\n",
    "    if (InterCycleChangeOvt['DG by n [Hz]'] != 0).any():\n",
    "        axs.plot(\n",
    "            InterCycleChangeOvt['info'],\n",
    "            InterCycleChangeOvt['DG by n [Hz]'],\n",
    "            color=colors(iovt),\n",
    "            linestyle='--'\n",
    "        )\n",
    "    \n",
    "    # Plot mass only if ovt == 3 and values are non-zero\n",
    "    if ovt == 3 and (InterCycleChangeOvt['mass [ugcm-2]'] != 0).any():\n",
    "        sec_axs.plot(\n",
    "            InterCycleChangeOvt['info'],\n",
    "            InterCycleChangeOvt['mass [ugcm-2]'],\n",
    "            color='darkred',\n",
    "            linestyle='-'\n",
    "        )\n",
    "\n",
    "# Labels and axis formatting\n",
    "axs.set_ylabel('$\\Delta f/n, \\Delta \\Gamma /n$ (Hz)', fontsize=7)\n",
    "sec_axs.set_ylabel('$\\mathrm{mass_{geo}}$ ($\\mathrm{\\mu g \\ cm^{-2}}$)', fontsize=6)\n",
    "sec_axs.spines['right'].set_color('darkred')\n",
    "sec_axs.yaxis.label.set_color('darkred')\n",
    "sec_axs.tick_params(which='both', labelsize=7, labelright=True, colors='darkred', direction='in')\n",
    "axs.yaxis.set_major_locator(MaxNLocator(nbins=4))\n",
    "sec_axs.yaxis.set_major_locator(MaxNLocator(nbins=4))\n",
    "axs.tick_params(axis='x', labelrotation=45)\n",
    "for label in axs.get_xticklabels():\n",
    "    label.set_horizontalalignment('right')\n",
    "\n",
    "plt.savefig(fname=f\"Intercycle_Variations.tif\", dpi=600, pil_kwargs={\"compression\": \"tiff_lzw\"}, bbox_inches='tight', transparent = True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c745cd57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.7305"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "convert_potential(E_old = 0.8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1f799a7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.7305"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "convert_potential(E_old = 0.8, Eref_old=0.1635)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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