20230123pandas1.ipynb

20230123pandas1.ipynb

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   "execution_count": 1,
   "id": "28a12097-db81-49cc-9a84-7159071438f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "63a0c2a6-437a-49e3-904a-23f3c8bfa4ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_fatiguetest_data = pd.read_csv('207-150001_M0001.csv', skiprows = 14, names = ('time','load','disp'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "3f1ea339-8761-41c9-ad08-a86860b3b0dc",
   "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</th>\n",
       "      <th>load</th>\n",
       "      <th>disp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00</td>\n",
       "      <td>1.800</td>\n",
       "      <td>3.200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.02</td>\n",
       "      <td>0.900</td>\n",
       "      <td>2.775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.04</td>\n",
       "      <td>0.575</td>\n",
       "      <td>2.600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.06</td>\n",
       "      <td>0.900</td>\n",
       "      <td>2.725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.08</td>\n",
       "      <td>1.775</td>\n",
       "      <td>3.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12495</th>\n",
       "      <td>249.90</td>\n",
       "      <td>5.225</td>\n",
       "      <td>4.800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12496</th>\n",
       "      <td>249.92</td>\n",
       "      <td>5.750</td>\n",
       "      <td>5.050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12497</th>\n",
       "      <td>249.94</td>\n",
       "      <td>5.600</td>\n",
       "      <td>5.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12498</th>\n",
       "      <td>249.96</td>\n",
       "      <td>4.850</td>\n",
       "      <td>4.725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12499</th>\n",
       "      <td>249.98</td>\n",
       "      <td>3.700</td>\n",
       "      <td>4.250</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12500 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         time   load   disp\n",
       "0        0.00  1.800  3.200\n",
       "1        0.02  0.900  2.775\n",
       "2        0.04  0.575  2.600\n",
       "3        0.06  0.900  2.725\n",
       "4        0.08  1.775  3.100\n",
       "...       ...    ...    ...\n",
       "12495  249.90  5.225  4.800\n",
       "12496  249.92  5.750  5.050\n",
       "12497  249.94  5.600  5.000\n",
       "12498  249.96  4.850  4.725\n",
       "12499  249.98  3.700  4.250\n",
       "\n",
       "[12500 rows x 3 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_fatiguetest_data"
   ]
  }
 ],
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