reading_data_frame.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "78df8838",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6aee7daf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Volume in drive C is Windows-SSD\n",
      " Volume Serial Number is D64D-E4F5\n",
      "\n",
      " Directory of C:\\Users\\greci\\Documents\\Jupiter_notebooks\n",
      "\n",
      "06/18/2021  08:05 PM    <DIR>          .\n",
      "06/18/2021  08:05 PM    <DIR>          ..\n",
      "06/18/2021  07:57 PM    <DIR>          .ipynb_checkpoints\n",
      "06/18/2021  08:05 PM               839 Untitled.ipynb\n",
      "               1 File(s)            839 bytes\n",
      "               3 Dir(s)  908,452,384,768 bytes free\n"
     ]
    }
   ],
   "source": [
    "ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2810462b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       PIXEL_COUNT INTENSITY_1 INTENSITY_1_PERC INTENSITY_2 INTENSITY_2_PERC  \\\n",
      "0                5         806            1.000           0            0.000   \n",
      "1               50        1035            1.000           0            0.000   \n",
      "2                4         120            1.000           0            0.000   \n",
      "3                1         873            1.000           0            0.000   \n",
      "4               26        1058            1.000           0            0.000   \n",
      "...            ...         ...              ...         ...              ...   \n",
      "234077           1       20749            1.000           0            0.000   \n",
      "234078           2       20574            1.000           0            0.000   \n",
      "234079           2       20784            1.000           0            0.000   \n",
      "234080           2       20771            1.000           0            0.000   \n",
      "234081           1       20697            1.000           0            0.000   \n",
      "\n",
      "       INTENSITY_3 INTENSITY_3_PERC  \n",
      "0                0                0  \n",
      "1                0                0  \n",
      "2                0                0  \n",
      "3                0                0  \n",
      "4                0                0  \n",
      "...            ...              ...  \n",
      "234077           0            0.000  \n",
      "234078           0            0.000  \n",
      "234079           0            0.000  \n",
      "234080           0            0.000  \n",
      "234081           0            0.000  \n",
      "\n",
      "[234082 rows x 7 columns]\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv (r'SMM_s1_DR_Seg_3Dcount_75slices.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "56911f45",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PIXEL_COUNT</th>\n",
       "      <th>INTENSITY_1</th>\n",
       "      <th>INTENSITY_1_PERC</th>\n",
       "      <th>INTENSITY_2</th>\n",
       "      <th>INTENSITY_2_PERC</th>\n",
       "      <th>INTENSITY_3</th>\n",
       "      <th>INTENSITY_3_PERC</th>\n",
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       "  </thead>\n",
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       "      <th>234078</th>\n",
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       "      <th>234079</th>\n",
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       "      <td>1.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234080</th>\n",
       "      <td>2</td>\n",
       "      <td>20771</td>\n",
       "      <td>1.000</td>\n",
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       "      <td>0.000</td>\n",
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       "    <tr>\n",
       "      <th>234081</th>\n",
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       "  </tbody>\n",
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       "<p>234082 rows × 7 columns</p>\n",
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       "       PIXEL_COUNT INTENSITY_1 INTENSITY_1_PERC INTENSITY_2 INTENSITY_2_PERC  \\\n",
       "0                5         806            1.000           0            0.000   \n",
       "1               50        1035            1.000           0            0.000   \n",
       "2                4         120            1.000           0            0.000   \n",
       "3                1         873            1.000           0            0.000   \n",
       "4               26        1058            1.000           0            0.000   \n",
       "...            ...         ...              ...         ...              ...   \n",
       "234077           1       20749            1.000           0            0.000   \n",
       "234078           2       20574            1.000           0            0.000   \n",
       "234079           2       20784            1.000           0            0.000   \n",
       "234080           2       20771            1.000           0            0.000   \n",
       "234081           1       20697            1.000           0            0.000   \n",
       "\n",
       "       INTENSITY_3 INTENSITY_3_PERC  \n",
       "0                0                0  \n",
       "1                0                0  \n",
       "2                0                0  \n",
       "3                0                0  \n",
       "4                0                0  \n",
       "...            ...              ...  \n",
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       "234079           0            0.000  \n",
       "234080           0            0.000  \n",
       "234081           0            0.000  \n",
       "\n",
       "[234082 rows x 7 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  }
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