jupyter

example/test.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "494d1610-a799-4bca-9bac-b089d86c09a5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1.996451e-08\n"
+     ]
+    }
+   ],
+   "source": [
+    "%run test.py"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "d5d713db-6979-4180-874b-442f70d8ef24",
+   "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>Time Relative (sec)</th>\n",
+       "      <th>Time Absolute (UTC)</th>\n",
+       "      <th>Time Absolute (Date_Time)</th>\n",
+       "      <th>Step</th>\n",
+       "      <th>0.60</th>\n",
+       "      <th>0.80</th>\n",
+       "      <th>1.00</th>\n",
+       "      <th>1.20</th>\n",
+       "      <th>1.40</th>\n",
+       "      <th>1.60</th>\n",
+       "      <th>...</th>\n",
+       "      <th>148.00</th>\n",
+       "      <th>148.20</th>\n",
+       "      <th>148.40</th>\n",
+       "      <th>148.60</th>\n",
+       "      <th>148.80</th>\n",
+       "      <th>149.00</th>\n",
+       "      <th>149.20</th>\n",
+       "      <th>149.40</th>\n",
+       "      <th>149.60</th>\n",
+       "      <th>149.80</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>51.978</td>\n",
+       "      <td>1.625803e+09</td>\n",
+       "      <td>07/09/2021_05:57:44.475</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5.269629e-15</td>\n",
+       "      <td>2.233675e-12</td>\n",
+       "      <td>2.200632e-11</td>\n",
+       "      <td>1.621643e-11</td>\n",
+       "      <td>6.731921e-14</td>\n",
+       "      <td>2.494040e-11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-2.214894e-14</td>\n",
+       "      <td>-1.201723e-13</td>\n",
+       "      <td>-1.302281e-14</td>\n",
+       "      <td>2.645671e-14</td>\n",
+       "      <td>-3.387218e-14</td>\n",
+       "      <td>-1.374647e-14</td>\n",
+       "      <td>2.375003e-15</td>\n",
+       "      <td>-8.260647e-14</td>\n",
+       "      <td>-5.390945e-14</td>\n",
+       "      <td>1.123387e-13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>102.911</td>\n",
+       "      <td>1.625803e+09</td>\n",
+       "      <td>07/09/2021_05:58:35.408</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1.336152e-14</td>\n",
+       "      <td>1.979864e-12</td>\n",
+       "      <td>2.227192e-11</td>\n",
+       "      <td>1.606026e-11</td>\n",
+       "      <td>2.367907e-13</td>\n",
+       "      <td>2.376031e-11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>5.238675e-14</td>\n",
+       "      <td>1.012899e-13</td>\n",
+       "      <td>1.102070e-13</td>\n",
+       "      <td>-1.161530e-13</td>\n",
+       "      <td>2.572400e-14</td>\n",
+       "      <td>7.710366e-14</td>\n",
+       "      <td>-1.674844e-13</td>\n",
+       "      <td>6.913539e-14</td>\n",
+       "      <td>-1.040036e-13</td>\n",
+       "      <td>-1.041966e-13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>153.844</td>\n",
+       "      <td>1.625803e+09</td>\n",
+       "      <td>07/09/2021_05:59:26.341</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5.569247e-14</td>\n",
+       "      <td>1.910554e-12</td>\n",
+       "      <td>2.272191e-11</td>\n",
+       "      <td>1.637266e-11</td>\n",
+       "      <td>3.348794e-13</td>\n",
+       "      <td>2.393436e-11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.051665e-13</td>\n",
+       "      <td>-8.952141e-14</td>\n",
+       "      <td>-3.386414e-14</td>\n",
+       "      <td>-3.640498e-14</td>\n",
+       "      <td>-1.259666e-14</td>\n",
+       "      <td>-3.334150e-14</td>\n",
+       "      <td>4.150878e-14</td>\n",
+       "      <td>-7.365724e-14</td>\n",
+       "      <td>-2.274394e-14</td>\n",
+       "      <td>5.344108e-14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>204.777</td>\n",
+       "      <td>1.625803e+09</td>\n",
+       "      <td>07/09/2021_06:00:17.274</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.560014e-13</td>\n",
+       "      <td>1.900811e-12</td>\n",
+       "      <td>2.151482e-11</td>\n",
+       "      <td>1.694800e-11</td>\n",
+       "      <td>2.594522e-13</td>\n",
+       "      <td>2.313546e-11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>7.455779e-14</td>\n",
+       "      <td>-5.502812e-15</td>\n",
+       "      <td>-2.597426e-14</td>\n",
+       "      <td>-4.250581e-14</td>\n",
+       "      <td>-1.906736e-14</td>\n",
+       "      <td>3.554464e-14</td>\n",
+       "      <td>-1.017441e-14</td>\n",
+       "      <td>-2.964079e-14</td>\n",
+       "      <td>-1.561602e-13</td>\n",
+       "      <td>-4.127560e-14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>255.710</td>\n",
+       "      <td>1.625803e+09</td>\n",
+       "      <td>07/09/2021_06:01:08.207</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.343781e-13</td>\n",
+       "      <td>1.921634e-12</td>\n",
+       "      <td>2.176947e-11</td>\n",
+       "      <td>1.612396e-11</td>\n",
+       "      <td>1.997806e-13</td>\n",
+       "      <td>2.367017e-11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-3.608335e-14</td>\n",
+       "      <td>7.620411e-14</td>\n",
+       "      <td>-1.400166e-13</td>\n",
+       "      <td>-3.088106e-14</td>\n",
+       "      <td>-6.400044e-14</td>\n",
+       "      <td>-1.323991e-14</td>\n",
+       "      <td>-5.765638e-14</td>\n",
+       "      <td>-1.214910e-13</td>\n",
+       "      <td>-6.543971e-14</td>\n",
+       "      <td>2.928700e-14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>191</th>\n",
+       "      <td>9780.181</td>\n",
+       "      <td>1.625813e+09</td>\n",
+       "      <td>07/09/2021_08:39:52.678</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.246982e-13</td>\n",
+       "      <td>1.951900e-12</td>\n",
+       "      <td>2.200112e-11</td>\n",
+       "      <td>1.577233e-11</td>\n",
+       "      <td>1.888544e-13</td>\n",
+       "      <td>2.467176e-11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-2.009754e-14</td>\n",
+       "      <td>5.209933e-14</td>\n",
+       "      <td>-5.715683e-14</td>\n",
+       "      <td>1.098755e-14</td>\n",
+       "      <td>-1.286461e-13</td>\n",
+       "      <td>-1.067392e-14</td>\n",
+       "      <td>-1.246339e-13</td>\n",
+       "      <td>5.146410e-14</td>\n",
+       "      <td>8.840278e-14</td>\n",
+       "      <td>-7.312937e-15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>192</th>\n",
+       "      <td>9831.114</td>\n",
+       "      <td>1.625813e+09</td>\n",
+       "      <td>07/09/2021_08:40:43.611</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.143208e-13</td>\n",
+       "      <td>1.823543e-12</td>\n",
+       "      <td>2.114661e-11</td>\n",
+       "      <td>1.540324e-11</td>\n",
+       "      <td>1.201422e-13</td>\n",
+       "      <td>2.367838e-11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-5.278775e-14</td>\n",
+       "      <td>-8.082545e-14</td>\n",
+       "      <td>3.450139e-14</td>\n",
+       "      <td>-8.121943e-14</td>\n",
+       "      <td>1.227232e-13</td>\n",
+       "      <td>5.225429e-15</td>\n",
+       "      <td>2.017219e-15</td>\n",
+       "      <td>-7.802731e-14</td>\n",
+       "      <td>4.483360e-14</td>\n",
+       "      <td>9.049636e-14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>193</th>\n",
+       "      <td>9882.047</td>\n",
+       "      <td>1.625813e+09</td>\n",
+       "      <td>07/09/2021_08:41:34.544</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9.950490e-14</td>\n",
+       "      <td>1.836684e-12</td>\n",
+       "      <td>2.189944e-11</td>\n",
+       "      <td>1.568802e-11</td>\n",
+       "      <td>9.009736e-14</td>\n",
+       "      <td>2.400637e-11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-5.409315e-15</td>\n",
+       "      <td>8.066792e-15</td>\n",
+       "      <td>4.938761e-14</td>\n",
+       "      <td>7.259289e-14</td>\n",
+       "      <td>8.370504e-14</td>\n",
+       "      <td>-5.649951e-14</td>\n",
+       "      <td>-3.718591e-14</td>\n",
+       "      <td>-6.482960e-14</td>\n",
+       "      <td>-6.736017e-15</td>\n",
+       "      <td>-4.279827e-14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>194</th>\n",
+       "      <td>9932.980</td>\n",
+       "      <td>1.625813e+09</td>\n",
+       "      <td>07/09/2021_08:42:25.477</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.644521e-14</td>\n",
+       "      <td>1.811946e-12</td>\n",
+       "      <td>2.218614e-11</td>\n",
+       "      <td>1.528536e-11</td>\n",
+       "      <td>1.085134e-13</td>\n",
+       "      <td>2.407653e-11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-5.223495e-14</td>\n",
+       "      <td>7.980835e-14</td>\n",
+       "      <td>-4.457503e-15</td>\n",
+       "      <td>-2.244440e-14</td>\n",
+       "      <td>-1.755849e-15</td>\n",
+       "      <td>-1.625312e-14</td>\n",
+       "      <td>-3.301784e-14</td>\n",
+       "      <td>5.735086e-14</td>\n",
+       "      <td>-3.834878e-14</td>\n",
+       "      <td>4.925394e-14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>195</th>\n",
+       "      <td>9983.913</td>\n",
+       "      <td>1.625813e+09</td>\n",
+       "      <td>07/09/2021_08:43:16.410</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.107933e-13</td>\n",
+       "      <td>1.735137e-12</td>\n",
+       "      <td>2.178221e-11</td>\n",
+       "      <td>1.724015e-11</td>\n",
+       "      <td>2.542690e-13</td>\n",
+       "      <td>2.432244e-11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.446489e-15</td>\n",
+       "      <td>4.311390e-14</td>\n",
+       "      <td>-6.751719e-14</td>\n",
+       "      <td>3.882825e-14</td>\n",
+       "      <td>-5.296364e-14</td>\n",
+       "      <td>2.302036e-14</td>\n",
+       "      <td>5.162114e-15</td>\n",
+       "      <td>-2.452372e-15</td>\n",
+       "      <td>-1.787431e-14</td>\n",
+       "      <td>3.891670e-14</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>196 rows × 751 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Time Relative (sec)  Time Absolute (UTC) Time Absolute (Date_Time)  Step  \\\n",
+       "0                 51.978         1.625803e+09   07/09/2021_05:57:44.475     1   \n",
+       "1                102.911         1.625803e+09   07/09/2021_05:58:35.408     1   \n",
+       "2                153.844         1.625803e+09   07/09/2021_05:59:26.341     1   \n",
+       "3                204.777         1.625803e+09   07/09/2021_06:00:17.274     1   \n",
+       "4                255.710         1.625803e+09   07/09/2021_06:01:08.207     1   \n",
+       "..                   ...                  ...                       ...   ...   \n",
+       "191             9780.181         1.625813e+09   07/09/2021_08:39:52.678     1   \n",
+       "192             9831.114         1.625813e+09   07/09/2021_08:40:43.611     1   \n",
+       "193             9882.047         1.625813e+09   07/09/2021_08:41:34.544     1   \n",
+       "194             9932.980         1.625813e+09   07/09/2021_08:42:25.477     1   \n",
+       "195             9983.913         1.625813e+09   07/09/2021_08:43:16.410     1   \n",
+       "\n",
+       "             0.60          0.80          1.00          1.20          1.40  \\\n",
+       "0    5.269629e-15  2.233675e-12  2.200632e-11  1.621643e-11  6.731921e-14   \n",
+       "1   -1.336152e-14  1.979864e-12  2.227192e-11  1.606026e-11  2.367907e-13   \n",
+       "2    5.569247e-14  1.910554e-12  2.272191e-11  1.637266e-11  3.348794e-13   \n",
+       "3    1.560014e-13  1.900811e-12  2.151482e-11  1.694800e-11  2.594522e-13   \n",
+       "4    1.343781e-13  1.921634e-12  2.176947e-11  1.612396e-11  1.997806e-13   \n",
+       "..            ...           ...           ...           ...           ...   \n",
+       "191  1.246982e-13  1.951900e-12  2.200112e-11  1.577233e-11  1.888544e-13   \n",
+       "192  1.143208e-13  1.823543e-12  2.114661e-11  1.540324e-11  1.201422e-13   \n",
+       "193  9.950490e-14  1.836684e-12  2.189944e-11  1.568802e-11  9.009736e-14   \n",
+       "194  3.644521e-14  1.811946e-12  2.218614e-11  1.528536e-11  1.085134e-13   \n",
+       "195  2.107933e-13  1.735137e-12  2.178221e-11  1.724015e-11  2.542690e-13   \n",
+       "\n",
+       "             1.60  ...        148.00        148.20        148.40  \\\n",
+       "0    2.494040e-11  ... -2.214894e-14 -1.201723e-13 -1.302281e-14   \n",
+       "1    2.376031e-11  ...  5.238675e-14  1.012899e-13  1.102070e-13   \n",
+       "2    2.393436e-11  ...  1.051665e-13 -8.952141e-14 -3.386414e-14   \n",
+       "3    2.313546e-11  ...  7.455779e-14 -5.502812e-15 -2.597426e-14   \n",
+       "4    2.367017e-11  ... -3.608335e-14  7.620411e-14 -1.400166e-13   \n",
+       "..            ...  ...           ...           ...           ...   \n",
+       "191  2.467176e-11  ... -2.009754e-14  5.209933e-14 -5.715683e-14   \n",
+       "192  2.367838e-11  ... -5.278775e-14 -8.082545e-14  3.450139e-14   \n",
+       "193  2.400637e-11  ... -5.409315e-15  8.066792e-15  4.938761e-14   \n",
+       "194  2.407653e-11  ... -5.223495e-14  7.980835e-14 -4.457503e-15   \n",
+       "195  2.432244e-11  ...  4.446489e-15  4.311390e-14 -6.751719e-14   \n",
+       "\n",
+       "           148.60        148.80        149.00        149.20        149.40  \\\n",
+       "0    2.645671e-14 -3.387218e-14 -1.374647e-14  2.375003e-15 -8.260647e-14   \n",
+       "1   -1.161530e-13  2.572400e-14  7.710366e-14 -1.674844e-13  6.913539e-14   \n",
+       "2   -3.640498e-14 -1.259666e-14 -3.334150e-14  4.150878e-14 -7.365724e-14   \n",
+       "3   -4.250581e-14 -1.906736e-14  3.554464e-14 -1.017441e-14 -2.964079e-14   \n",
+       "4   -3.088106e-14 -6.400044e-14 -1.323991e-14 -5.765638e-14 -1.214910e-13   \n",
+       "..            ...           ...           ...           ...           ...   \n",
+       "191  1.098755e-14 -1.286461e-13 -1.067392e-14 -1.246339e-13  5.146410e-14   \n",
+       "192 -8.121943e-14  1.227232e-13  5.225429e-15  2.017219e-15 -7.802731e-14   \n",
+       "193  7.259289e-14  8.370504e-14 -5.649951e-14 -3.718591e-14 -6.482960e-14   \n",
+       "194 -2.244440e-14 -1.755849e-15 -1.625312e-14 -3.301784e-14  5.735086e-14   \n",
+       "195  3.882825e-14 -5.296364e-14  2.302036e-14  5.162114e-15 -2.452372e-15   \n",
+       "\n",
+       "           149.60        149.80  \n",
+       "0   -5.390945e-14  1.123387e-13  \n",
+       "1   -1.040036e-13 -1.041966e-13  \n",
+       "2   -2.274394e-14  5.344108e-14  \n",
+       "3   -1.561602e-13 -4.127560e-14  \n",
+       "4   -6.543971e-14  2.928700e-14  \n",
+       "..            ...           ...  \n",
+       "191  8.840278e-14 -7.312937e-15  \n",
+       "192  4.483360e-14  9.049636e-14  \n",
+       "193 -6.736017e-15 -4.279827e-14  \n",
+       "194 -3.834878e-14  4.925394e-14  \n",
+       "195 -1.787431e-14  3.891670e-14  \n",
+       "\n",
+       "[196 rows x 751 columns]"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "834f1bb2-cab1-48de-951b-e66a68af726e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0      1.625803e+09\n",
+       "1      1.625803e+09\n",
+       "2      1.625803e+09\n",
+       "3      1.625803e+09\n",
+       "4      1.625803e+09\n",
+       "           ...     \n",
+       "191    1.625813e+09\n",
+       "192    1.625813e+09\n",
+       "193    1.625813e+09\n",
+       "194    1.625813e+09\n",
+       "195    1.625813e+09\n",
+       "Name: Time Absolute (UTC), Length: 196, dtype: float64"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data[\"Time Absolute (UTC)\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "a74b5bd2-9986-483b-a871-fd8a80c5b282",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Time Absolute (UTC)', ylabel='2.00'>"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.plot.scatter(x=\"Time Absolute (UTC)\", y=\"2.00\", alpha=0.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "f19902ef-d4e3-4c16-ba02-df140fd93077",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Time Absolute (UTC)'>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data.plot(x=\"Time Absolute (UTC)\", y=\"2.00\", alpha=0.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1365943f-be5e-4b31-a966-9d8d263b53a1",
+   "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": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

example/test.py

+import pandas as pd
+import matplotlib.pyplot as plt
+
 p_reservoir_ch6 = 5.36*10**-2 #mbar
 p_reservoir_ch6_off = 4*10**-6 #mbar
 C_capillary_31_N2 = 3.725e-07 #L/s
 C_orifice_N2 = 1 #L/s
 
 p_mchamber = (p_reservoir_ch6 - p_reservoir_ch6_off) * C_capillary_31_N2 / C_orifice_N2 #mbar
-print(p_mchamber)
+print(p_mchamber)
\ No newline at end of file
+
+data = pd.read_csv("../QMS Transpector/007-09-2021/2020-03-10_gas_purity, Position 1, RGA MPH200M 70079490, 007-09-2021 05'56'52.dat", delimiter="\t", skiprows=108)
+#print(data)
+#data.plot()
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