diff --git a/electrochemical_OCP_EIS_LPR/EIS_new.ipynb b/electrochemical_OCP_EIS_LPR/EIS_new.ipynb
new file mode 100755
index 0000000..9145abd
--- /dev/null
+++ b/electrochemical_OCP_EIS_LPR/EIS_new.ipynb
@@ -0,0 +1,688 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "cd0cee5e-bf71-4781-84bc-9526aeb3bb66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import scipy.optimize\n",
+    "# from impedance.models.circuits import CustomCircuit\n",
+    "# from impedance.visualization import plot_nyquist # Kept if you want to switch plotting methods"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "91821d16-a56b-457c-938a-9665dce5d4ee",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<>:8: SyntaxWarning: invalid escape sequence '\\s'\n",
+      "<>:8: SyntaxWarning: invalid escape sequence '\\s'\n",
+      "C:\\Users\\grokkingDoctorow\\AppData\\Local\\Temp\\ipykernel_11920\\896768106.py:8: SyntaxWarning: invalid escape sequence '\\s'\n",
+      "  sep='\\s+',\n"
+     ]
+    }
+   ],
+   "source": [
+    "# --- Data Loading ---\n",
+    "\n",
+    "def EIS_z60_import(filename):\n",
+    "    \"\"\" Import z60 file as pandas dataframe.\"\"\"\n",
+    "    df = pd.read_csv(\n",
+    "        filename,\n",
+    "        skiprows=11,\n",
+    "        sep='\\s+',\n",
+    "        header=None,\n",
+    "        names=[\"Freq\", \"Ampl\", \"Bias\", \"Time\", \"Z'\", \"Z''\", \"GD\", \"Err\", \"Range\"],\n",
+    "        index_col=\"Freq\")\n",
+    "\n",
+    "    df = df.drop(columns=['Ampl', 'Bias', 'Time', 'GD', 'Err', 'Range']) # Drop columns\n",
+    "    mask = (df[\"Z'\"] > 0) & (df[\"Z''\"] < 0) # Only keep first quadrant in Nyquist plot\n",
+    "\n",
+    "    df['Z'] = np.sqrt( (df[\"Z'\"].to_numpy())**2 + \\\n",
+    "                       (df[\"Z'\"].to_numpy())**2 )\n",
+    "\n",
+    "    df['theta'] = np.arctan2(-df[\"Z'\"].to_numpy(), df[\"Z''\"].to_numpy()) * 180 / np.pi\n",
+    "    \n",
+    "    df[~mask] = None\n",
+    "    return df\n",
+    "    \n",
+    "try:\n",
+    "    HS_EIS_10mV_1_df = EIS_z60_import(\"./HIPed_Stellite1_EIS/HIPedStellite1_EIS_10mV_1.z60\")\n",
+    "    HS_EIS_10mV_2_df = EIS_z60_import(\"./HIPed_Stellite1_EIS/HIPedStellite1_EIS_10mV_4.z60\")\n",
+    "    HS_EIS_10mV_3_df = EIS_z60_import(\"./HIPed_Stellite1_EIS/HIPedStellite1_EIS_10mV_5.z60\")\n",
+    "    \n",
+    "    CS_EIS_10mV_1_df = EIS_z60_import(\"./Cast_Stellite1_EIS/CastStellite1_EIS_10mV_4.z60\")\n",
+    "    CS_EIS_10mV_2_df = EIS_z60_import(\"./Cast_Stellite1_EIS/CastStellite1_EIS_10mV_5.z60\")\n",
+    "    CS_EIS_10mV_3_df = EIS_z60_import(\"./Cast_Stellite1_EIS/CastStellite1_EIS_10mV_6.z60\")\n",
+    "\n",
+    "    HS_EIS_20mV_1_df = EIS_z60_import(\"./HIPed_Stellite1_EIS/HIPedStellite1_EIS_20mV_3.z60\")\n",
+    "    HS_EIS_20mV_2_df = EIS_z60_import(\"./HIPed_Stellite1_EIS/HIPedStellite1_EIS_20mV_4.z60\")\n",
+    "    HS_EIS_20mV_3_df = EIS_z60_import(\"./HIPed_Stellite1_EIS/HIPedStellite1_EIS_20mV_5.z60\")\n",
+    "    \n",
+    "    CS_EIS_20mV_1_df = EIS_z60_import(\"./Cast_Stellite1_EIS/CastStellite1_EIS_20mV_4.z60\")\n",
+    "    CS_EIS_20mV_2_df = EIS_z60_import(\"./Cast_Stellite1_EIS/CastStellite1_EIS_20mV_5.z60\")\n",
+    "    CS_EIS_20mV_3_df = EIS_z60_import(\"./Cast_Stellite1_EIS/CastStellite1_EIS_20mV_6.z60\")\n",
+    "\n",
+    "    HS_EIS_20mV_1_df = EIS_z60_import(\"./HIPed_Stellite1_EIS/HIPedStellite1_EIS_30mV_3.z60\")\n",
+    "    HS_EIS_20mV_2_df = EIS_z60_import(\"./HIPed_Stellite1_EIS/HIPedStellite1_EIS_30mV_4.z60\")\n",
+    "    HS_EIS_20mV_3_df = EIS_z60_import(\"./HIPed_Stellite1_EIS/HIPedStellite1_EIS_30mV_5.z60\")\n",
+    "    \n",
+    "    CS_EIS_30mV_1_df = EIS_z60_import(\"./Cast_Stellite1_EIS/CastStellite1_EIS_30mV_4.z60\")\n",
+    "    CS_EIS_30mV_2_df = EIS_z60_import(\"./Cast_Stellite1_EIS/CastStellite1_EIS_30mV_5.z60\")\n",
+    "    CS_EIS_30mV_3_df = EIS_z60_import(\"./Cast_Stellite1_EIS/CastStellite1_EIS_30mV_6.z60\")\n",
+    "        \n",
+    "except FileNotFoundError as e:\n",
+    "    print(f\"Error: File was not found.\")\n",
+    "    print(e.message)\n",
+    "    print(e.args)\n",
+    "    exit()\n",
+    "except Exception as e:\n",
+    "    print(f\"Error reading the CSV file: {e}\")\n",
+    "    exit()\n",
+    "\n",
+    "#CS_EIS_10mV_1_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "73b19be1-b2d8-40cd-bea7-b3ed44591cec",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Z'</th>\n",
+       "      <th>Z''</th>\n",
+       "      <th>Z</th>\n",
+       "      <th>theta</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Freq</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>10000.000000</th>\n",
+       "      <td>12.5765</td>\n",
+       "      <td>-2.57571</td>\n",
+       "      <td>17.785857</td>\n",
+       "      <td>-101.574316</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8902.150000</th>\n",
+       "      <td>12.7553</td>\n",
+       "      <td>-2.63029</td>\n",
+       "      <td>18.038718</td>\n",
+       "      <td>-101.651727</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7924.830000</th>\n",
+       "      <td>12.9070</td>\n",
+       "      <td>-2.70532</td>\n",
+       "      <td>18.253254</td>\n",
+       "      <td>-101.837881</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7054.800000</th>\n",
+       "      <td>13.0297</td>\n",
+       "      <td>-2.75406</td>\n",
+       "      <td>18.426778</td>\n",
+       "      <td>-101.934822</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6280.290000</th>\n",
+       "      <td>13.1284</td>\n",
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+       "      <td>-102.204876</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.146085</th>\n",
+       "      <td>45787.6000</td>\n",
+       "      <td>-27678.80000</td>\n",
+       "      <td>64753.444909</td>\n",
+       "      <td>-121.153141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.130047</th>\n",
+       "      <td>48851.8000</td>\n",
+       "      <td>-14103.70000</td>\n",
+       "      <td>69086.878106</td>\n",
+       "      <td>-106.103629</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.115770</th>\n",
+       "      <td>51948.7000</td>\n",
+       "      <td>-22140.40000</td>\n",
+       "      <td>73466.556088</td>\n",
+       "      <td>-113.083576</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.103060</th>\n",
+       "      <td>54367.5000</td>\n",
+       "      <td>-20215.50000</td>\n",
+       "      <td>76887.255852</td>\n",
+       "      <td>-110.396674</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.100000</th>\n",
+       "      <td>58844.6000</td>\n",
+       "      <td>-1989.13000</td>\n",
+       "      <td>83218.831392</td>\n",
+       "      <td>-91.936038</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                      Z'          Z''             Z       theta\n",
+       "Freq                                                           \n",
+       "10000.000000     12.5765     -2.57571     17.785857 -101.574316\n",
+       "8902.150000      12.7553     -2.63029     18.038718 -101.651727\n",
+       "7924.830000      12.9070     -2.70532     18.253254 -101.837881\n",
+       "7054.800000      13.0297     -2.75406     18.426778 -101.934822\n",
+       "6280.290000      13.1284     -2.83963     18.566361 -102.204876\n",
+       "...                  ...          ...           ...         ...\n",
+       "0.146085      45787.6000 -27678.80000  64753.444909 -121.153141\n",
+       "0.130047      48851.8000 -14103.70000  69086.878106 -106.103629\n",
+       "0.115770      51948.7000 -22140.40000  73466.556088 -113.083576\n",
+       "0.103060      54367.5000 -20215.50000  76887.255852 -110.396674\n",
+       "0.100000      58844.6000  -1989.13000  83218.831392  -91.936038\n",
+       "\n",
+       "[100 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "CS_EIS_10mV_3_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "3709a5b4-3b61-451b-ae64-21639331a4a0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "CS_df_10mV_concat = pd.concat([CS_EIS_10mV_1_df, CS_EIS_10mV_2_df, CS_EIS_10mV_3_df])\n",
+    "CS_df_10mV_means = CS_df_10mV_concat.groupby(CS_df_10mV_concat.index).mean()\n",
+    "CS_df_10mV_err = CS_df_10mV_concat.groupby(CS_df_10mV_concat.index).std()\n",
+    "\n",
+    "\n",
+    "CS_df_20mV_concat = pd.concat([CS_EIS_20mV_1_df, CS_EIS_20mV_2_df, CS_EIS_20mV_3_df])\n",
+    "CS_df_20mV_means = CS_df_20mV_concat.groupby(CS_df_20mV_concat.index).mean()\n",
+    "CS_df_20mV_err = CS_df_20mV_concat.groupby(CS_df_20mV_concat.index).std()\n",
+    "\n",
+    "\n",
+    "CS_df_30mV_concat = pd.concat([CS_EIS_30mV_1_df, CS_EIS_30mV_2_df, CS_EIS_30mV_3_df])\n",
+    "CS_df_30mV_means = CS_df_30mV_concat.groupby(CS_df_30mV_concat.index).mean()\n",
+    "CS_df_30mV_err = CS_df_30mV_concat.groupby(CS_df_30mV_concat.index).std()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "f32c2d72-0ffa-4fa9-b09d-8b22d7343132",
+   "metadata": {},
+   "outputs": [
+    {
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+       "  <thead>\n",
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+       "      <th></th>\n",
+       "      <th>Z'</th>\n",
+       "      <th>Z''</th>\n",
+       "      <th>Z</th>\n",
+       "      <th>theta</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Freq</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
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+       "      <th>0.100000</th>\n",
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+       "    <tr>\n",
+       "      <th>0.130047</th>\n",
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+       "      <td>-115.797077</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6280.290000</th>\n",
+       "      <td>13.114167</td>\n",
+       "      <td>-2.848980</td>\n",
+       "      <td>18.546232</td>\n",
+       "      <td>-102.256758</td>\n",
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+       "    <tr>\n",
+       "      <th>7054.800000</th>\n",
+       "      <td>13.007667</td>\n",
+       "      <td>-2.765090</td>\n",
+       "      <td>18.395619</td>\n",
+       "      <td>-102.000994</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7924.830000</th>\n",
+       "      <td>12.879067</td>\n",
+       "      <td>-2.707930</td>\n",
+       "      <td>18.213751</td>\n",
+       "      <td>-101.874000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8902.150000</th>\n",
+       "      <td>12.733233</td>\n",
+       "      <td>-2.640447</td>\n",
+       "      <td>18.007511</td>\n",
+       "      <td>-101.715239</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10000.000000</th>\n",
+       "      <td>12.559867</td>\n",
+       "      <td>-2.590203</td>\n",
+       "      <td>17.762334</td>\n",
+       "      <td>-101.652703</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        Z'           Z''             Z       theta\n",
+       "Freq                                                              \n",
+       "0.100000      59050.866667 -17322.843333  83510.536510 -105.334167\n",
+       "0.103060      50340.266667 -24670.100000  71191.887853 -115.383424\n",
+       "0.115770      50163.733333 -16974.176667  70942.232019 -108.254808\n",
+       "0.130047      51095.800000 -13287.680000  72260.373340 -104.542029\n",
+       "0.146085      50253.150000 -24036.550000  71068.686282 -115.797077\n",
+       "...                    ...           ...           ...         ...\n",
+       "6280.290000      13.114167     -2.848980     18.546232 -102.256758\n",
+       "7054.800000      13.007667     -2.765090     18.395619 -102.000994\n",
+       "7924.830000      12.879067     -2.707930     18.213751 -101.874000\n",
+       "8902.150000      12.733233     -2.640447     18.007511 -101.715239\n",
+       "10000.000000     12.559867     -2.590203     17.762334 -101.652703\n",
+       "\n",
+       "[100 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "CS_df_10mV_means"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "802a394f-df3b-40de-a72b-aa25eb4a3497",
+   "metadata": {},
+   "source": [
+    "## Plotting average data in Bode Plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "28c0aa53-7db6-4a19-bdb3-be5aefb510dd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Theta mean error 10mV 3.5704617636521845%\n",
+      "|Z| mean error 10mV 2181.6842491538905%\n",
+      "Theta mean error 20mV 2.529684450405601%\n",
+      "|Z| mean error 20mV 1125.8577821194306%\n",
+      "Theta mean error 30mV 2.127136491943271%\n",
+      "|Z| mean error 30mV 968.8399346542678%\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"Theta mean error 10mV {CS_df_10mV_err['theta'].mean()}%\")\n",
+    "print(f\"|Z| mean error 10mV {CS_df_10mV_err['Z'].mean()}%\")\n",
+    "\n",
+    "print(f\"Theta mean error 20mV {CS_df_20mV_err['theta'].mean()}%\")\n",
+    "print(f\"|Z| mean error 20mV {CS_df_20mV_err['Z'].mean()}%\")\n",
+    "\n",
+    "print(f\"Theta mean error 30mV {CS_df_30mV_err['theta'].mean()}%\")\n",
+    "print(f\"|Z| mean error 30mV {CS_df_30mV_err['Z'].mean()}%\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a587f56a-f7d8-4c21-aa40-6fce78bafc7d",
+   "metadata": {},
+   "source": [
+    "Clearly, the phase shift error is far higher than the gain, but it would be a mistake to say that gain is less reliable than the phase shift. The error with the gain, likely due to noise at low frequencies, appears more reasonable when the data is plotted on a log axis.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "68715eac-2f14-4dcf-9504-9107b53bcf0c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, (ax1, ax2) = plt.subplots(2,1,figsize=(8,4), sharex=True, dpi=150)\n",
+    "\n",
+    "ax1.errorbar(CS_df_10mV_means.index.to_numpy(), CS_df_10mV_means[\"Z\"].to_numpy(), CS_df_10mV_err[\"Z\"].to_numpy(),\n",
+    "             fmt = '.', color='mediumblue', markersize=5, \n",
+    "             ecolor=\"mediumblue\", elinewidth=0.50, capsize=2, capthick=0.50,\n",
+    "             label=\"10 mV\")\n",
+    "ax1.errorbar(CS_df_20mV_means.index.to_numpy(), CS_df_20mV_means[\"Z\"].to_numpy(), CS_df_20mV_err[\"Z\"].to_numpy(),\n",
+    "             fmt = '.', color='firebrick', markersize=5, \n",
+    "             ecolor=\"firebrick\", elinewidth=0.50, capsize=2, capthick=0.50,\n",
+    "             label=\"20 mV\")\n",
+    "ax1.errorbar(CS_df_30mV_means.index.to_numpy(), CS_df_30mV_means[\"Z\"].to_numpy(), CS_df_30mV_err[\"Z\"].to_numpy(),\n",
+    "             fmt = '.', color='mediumseagreen', markersize=5, \n",
+    "             ecolor=\"mediumseagreen\", elinewidth=0.50, capsize=2, capthick=0.50,\n",
+    "             label=\"30 mV\")\n",
+    "\n",
+    "ax2.errorbar(CS_df_10mV_means.index.to_numpy(), CS_df_10mV_means[\"theta\"].to_numpy(), CS_df_10mV_err[\"theta\"].to_numpy(),\n",
+    "             fmt = '.', color='mediumblue', markersize=5, \n",
+    "             ecolor=\"mediumblue\", elinewidth=0.50, capsize=2, capthick=0.50,\n",
+    "             label=\"10 mV\")\n",
+    "ax2.errorbar(CS_df_20mV_means.index.to_numpy(), CS_df_20mV_means[\"theta\"].to_numpy(), CS_df_20mV_err[\"theta\"].to_numpy(),\n",
+    "             fmt = '.', color='firebrick', markersize=5, \n",
+    "             ecolor=\"firebrick\", elinewidth=0.50, capsize=2, capthick=0.50,\n",
+    "             label=\"20 mV\")\n",
+    "ax2.errorbar(CS_df_30mV_means.index.to_numpy(), CS_df_30mV_means[\"theta\"].to_numpy(), CS_df_30mV_err[\"theta\"].to_numpy(),\n",
+    "             fmt = '.', color='mediumseagreen', markersize=5, \n",
+    "             ecolor=\"mediumseagreen\", elinewidth=0.50, capsize=2, capthick=0.50,\n",
+    "             label=\"30 mV\")\n",
+    "\n",
+    "ax1.grid(True, which=\"both\", ls=\"-\", alpha=0.5)\n",
+    "ax2.grid(True, which=\"both\", ls=\"-\", alpha=0.5)\n",
+    "ax1.legend()\n",
+    "\n",
+    "#ax2.xaxis.set_major_locator(plt.MaxNLocator(11))\n",
+    "ax1.set_ylabel('|Z| (Ohm)')\n",
+    "ax2.set_ylabel('Phase (deg)')\n",
+    "ax2.set_xlabel(\"Frequency\")\n",
+    "ax1.set_yscale(\"log\")\n",
+    "ax1.set_xscale(\"log\")\n",
+    "ax2.set_xscale(\"log\")\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "01d2cc11-cae7-44b7-9dae-1c7d7dee0fa1",
+   "metadata": {},
+   "source": [
+    "Okay, the errors with the impedence shift clearly show that:\n",
+    "\n",
+    "    20mV is less reliable than 10mV at high frequencies, likely due to non-linearity,\n",
+    "    20mV is more reliable than 10 mV at low frequencies, or atleast, lower frequencies than 10mV\n",
+    "\n",
+    "Makes me think that I need to use higher excitation voltages at low frequencies, although I've only seen 10mV and 20mV in research. this paper does 30mV! https://www.mdpi.com/2076-3417/14/13/5754\n",
+    "\n",
+    "Then again, I've never seen errorbars on a Bode plot in a research paper\n",
+    "\n",
+    "Source of discontinuities: https://www.gamry.com/Framework%20Help/HTML5%20-%20Tripane%20-%20Audience%20A/Content/UT/Discontinuities%20in%20CS_EIS%20Spectra.htm\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7cbe0391-4c29-42d1-9121-838e82fd78b4",
+   "metadata": {},
+   "source": [
+    "## Plotting average data on Nyquist plot\n",
+    "\n",
+    "So let's have a look at how the Nyquist plot looks, with and without the sketchy data\n",
+    "So we'll remove everything below 10 Hz, plus remove the weird region at 50Hz"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "36bd74ca-8cf3-43b3-83ef-aa9c4253af41",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 900x900 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Nyquist Plot\n",
+    "\n",
+    "import warnings\n",
+    "with warnings.catch_warnings():\n",
+    "    warnings.simplefilter('ignore')\n",
+    "    fig, ax = plt.subplots(figsize=(6, 6), dpi=150)\n",
+    "\n",
+    "    mask =  ((CS_df_10mV_means.index < 30) | (CS_df_10mV_means.index > 100))  # Only keep those frequencies above 10 Hz\n",
+    "    ax.errorbar(x=(CS_df_10mV_means[mask])[\"Z'\"].to_numpy(), y=(-CS_df_10mV_means[mask])[\"Z''\"].to_numpy(), \n",
+    "            xerr=(CS_df_10mV_err[mask])[\"Z\"].to_numpy(), yerr=(CS_df_10mV_err[mask])[\"Z\"].to_numpy(),             \n",
+    "            color='mediumblue', markersize=2, \n",
+    "            fmt = 's', ecolor=\"mediumblue\", elinewidth=0.250, capsize=2, capthick=0.50,\n",
+    "            label=\"10 mV\")\n",
+    "    ax.errorbar(x=(CS_df_20mV_means[mask])[\"Z'\"].to_numpy(), y=(-CS_df_20mV_means[mask])[\"Z''\"].to_numpy(), \n",
+    "            xerr=(CS_df_20mV_err[mask])[\"Z\"].to_numpy(), yerr=(CS_df_20mV_err[mask])[\"Z\"].to_numpy(),             \n",
+    "            color='firebrick', markersize=2, \n",
+    "            fmt = 's', ecolor=\"firebrick\", elinewidth=0.250, capsize=2, capthick=0.50,\n",
+    "            label=\"20 mV\")\n",
+    "    ax.errorbar(x=(CS_df_30mV_means[mask])[\"Z'\"].to_numpy(), y=(-CS_df_30mV_means[mask])[\"Z''\"].to_numpy(), \n",
+    "            xerr=(CS_df_30mV_err[mask])[\"Z\"].to_numpy(), yerr=(CS_df_30mV_err[mask])[\"Z\"].to_numpy(),             \n",
+    "            color='mediumseagreen', markersize=2, \n",
+    "            fmt = 's', ecolor=\"mediumseagreen\", elinewidth=0.250, capsize=2, capthick=0.50,\n",
+    "            label=\"30 mV\")    \n",
+    "    ax.plot((CS_df_10mV_means[mask])[\"Z'\"].to_numpy(), (-CS_df_10mV_means[mask])[\"Z''\"].to_numpy(), 's-',\n",
+    "            linewidth=1, alpha=0.5, color='mediumblue', markersize=2)\n",
+    "    ax.plot((CS_df_20mV_means[mask])[\"Z'\"].to_numpy(), (-CS_df_20mV_means[mask])[\"Z''\"].to_numpy(), 's-', \n",
+    "            linewidth=1, alpha=0.5, color='firebrick', markersize=2)\n",
+    "    ax.plot((CS_df_30mV_means[mask])[\"Z'\"].to_numpy(), (-CS_df_30mV_means[mask])[\"Z''\"].to_numpy(), 's-', \n",
+    "            linewidth=1, alpha=0.5, color='mediumseagreen', markersize=2)\n",
+    "    \n",
+    "    ax.set_xlabel(r\"Z' $[\\Omega]$\")\n",
+    "    ax.set_ylabel(r\"Z'' $[\\Omega]$\")\n",
+    "    #ax.set_title('Nyquist Plot w/ unfiltered data, not showing errorbars')\n",
+    "    ax.legend(loc='upper right')\n",
+    "\n",
+    "    ax.grid(True)\n",
+    "    ax.set_xlim(left=0, right=70000)\n",
+    "    ax.set_ylim(bottom=0, top=70000)\n",
+    "    #ax.axis('equal') # Important for Nyquist plots\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ef317b4a-380a-498f-87c0-e6132c1c7262",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0fde4e7b-efe3-4d7b-a416-fceb33606a10",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2eafe178-a77d-4b3a-ad02-ce557e62d2f6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "49efa7d1-69ba-45f6-abdc-fdbb96fefb38",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ad05a9ae-d230-4057-be3f-c8203635a4bc",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}