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LeoBoraiLeoBorai
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fix: use axis = 0 on concat
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‎notebooks/sn03_aggregate_data.ipynb‎

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"cells": [
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{
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"id": "d69d493a-0716-47e7-bc80-0ef36753fdf8",
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"metadata": {},
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{
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"cell_type": "code",
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"id": "7302bac8-3643-4701-a1af-ea028dc8af38",
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{
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"cell_type": "code",
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"id": "d93c4011-0731-4992-9863-c198d570e18e",
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{
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},
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{
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},
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},
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"id": "ca5cdd55-b50e-4033-80e9-dd8c6cd151e9",
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"id": "b4d18ba9-1d7d-401c-babe-9acd86135f66",
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},
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{
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"cell_type": "code",
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"outputs": [
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"2021-08-05 West 35.0"
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]
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},
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"execution_count": 96,
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}
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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},
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{
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"cell_type": "code",
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"id": "7fb68d61-ca0f-4e13-a449-c28118a42692",
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"id": "63ce9c68-9a43-4120-9f6c-d76aa7ea9411",
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"metadata": {},
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"outputs": [
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th>Total</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <th rowspan=\"2\" valign=\"top\">2021-08-04</th>\n",
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" <th>East</th>\n",
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" <td>97.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <th>West</th>\n",
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" <td>243.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <th rowspan=\"2\" valign=\"top\">2021-08-05</th>\n",
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" <th>East</th>\n",
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" <td>160.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <th>West</th>\n",
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" <td>35.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <th rowspan=\"2\" valign=\"top\">2021-08-06</th>\n",
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" <th>East</th>\n",
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" <td>110.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <th>West</th>\n",
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" <td>86.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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" <th>Grand Total</th>\n",
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" <th>Grand Total</th>\n",
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" <td>731.0</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Total\n",
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"0 97.0\n",
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"1 243.0\n",
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"2 160.0\n",
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"3 35.0\n",
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"4 110.0\n",
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"5 86.0\n",
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"6 731.0"
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" Total\n",
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"2021-08-04 East 97.0\n",
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" West 243.0\n",
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"2021-08-05 East 160.0\n",
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" West 35.0\n",
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"2021-08-06 East 110.0\n",
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" West 86.0\n",
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"Grand Total Grand Total 731.0"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"df_date_region_total = pd.concat([df_date_region_agg, pd.DataFrame([grand_total_series])], ignore_index=True)\n",
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"df_date_region_total = pd.concat([df_date_region_agg, pd.DataFrame([grand_total_series])], axis = 0)\n",
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"\n",
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"display(df_date_region_total)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 101,
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"execution_count": 28,
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"id": "5388e301-e18a-450e-bd1b-adfdac02ad65",
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"metadata": {},
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"outputs": [
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th>Total</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>Grand Total</th>\n",
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" <th>Grand Total</th>\n",
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" <td>731.0</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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"Empty DataFrame\n",
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"Columns: [Total]\n",
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"Index: []"
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" Total\n",
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"Grand Total Grand Total 731.0"
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]
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},
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"execution_count": 101,
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"execution_count": 28,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df_date_region_total[df_date_region_total.index.isin([('Grand Total', 'Grand Total')])]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "02c6b214-64cf-4bf5-b207-1857151b6096",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

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