rename_BIDS_standard.ipynb

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   "cell_type": "code",
   "execution_count": 7,
   "id": "d2fe194c-b6e0-45e1-a66c-09001ad97ac8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "13f788ae-f329-49b2-82a5-845fe3e07ca3",
   "metadata": {},
   "outputs": [],
   "source": [
    "path_to_file=\"F:\\\\Brainvoyager\\\\Data\\\\sub-02\\\\ses-01\\\\func\\\\sub-02_ses-01_task-glare_run-01_events.tsv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "02856e65-e8d0-43bb-9f29-03c2b4b213e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd_events = pd.read_csv(path_to_file, sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6fb03066-ea84-42d1-8df6-81d4f289ddfc",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Condition</th>\n",
       "      <th>Onset</th>\n",
       "      <th>Duration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Baseline_G</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
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       "    <tr>\n",
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       "      <td>GT_G</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Baseline_G</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GT_G</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Baseline_G</td>\n",
       "      <td>16</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "    Condition  Onset  Duration\n",
       "0  Baseline_G      0         6\n",
       "1        GT_G     10         2\n",
       "2  Baseline_G     12         6\n",
       "3        GT_G     14         2\n",
       "4  Baseline_G     16         6"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd_events.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "9b8f2390-0a6b-4d18-8623-6d1e23a53729",
   "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>onset</th>\n",
       "      <th>duration</th>\n",
       "      <th>trial_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
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       "      <td>GT_G</td>\n",
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       "      <th>4</th>\n",
       "      <td>16</td>\n",
       "      <td>6</td>\n",
       "      <td>Baseline_G</td>\n",
       "    </tr>\n",
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       "</table>\n",
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      ],
      "text/plain": [
       "   onset  duration  trial_type\n",
       "0      0         6  Baseline_G\n",
       "1     10         2        GT_G\n",
       "2     12         6  Baseline_G\n",
       "3     14         2        GT_G\n",
       "4     16         6  Baseline_G"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd_events.rename(columns={\"Condition\": \"trial_type\", \"Onset\": \"onset\", \"Duration\": \"duration\"}, inplace=True)\n",
    "\n",
    "pd_events = pd_events[['onset', 'duration','trial_type']]\n",
    "\n",
    "pd_events.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "455628b2-9a32-4fd9-a963-86ce05161cab",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd_events.to_csv(path_to_file,  sep=\"\\t\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "558a0ebf-3a77-42f4-b391-a8d983d73ac1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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