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System save at 04/11/2024 17:53 by user_client2024

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user_client2024 2024-11-04 12:23:11 +00:00
parent df066ed00a
commit 0013e10f11
3 changed files with 25 additions and 3 deletions
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10
.ipynb_checkpoints/main-checkpoint.ipynb
View File

@ -108,11 +108,19 @@
" final_scenario_df['TOTAL_VOLUME'] * 100\n", " final_scenario_df['TOTAL_VOLUME'] * 100\n",
" final_scenario_df['Segment'] = 'Default'\n", " final_scenario_df['Segment'] = 'Default'\n",
" final_scenario_df['SAR_FLAG'] = 'N'\n", " final_scenario_df['SAR_FLAG'] = 'N'\n",
" final_scenario_df['Risk'] = 'Low Risk'\n", " final_scenario_df['Risk'] = 'Medium Risk'\n",
" final_scenario_df.dropna(inplace=True)\n", " final_scenario_df.dropna(inplace=True)\n",
" # final_scenario_df['RUN_DATE'] = final_scenario_df['END_DATE']\n", " # final_scenario_df['RUN_DATE'] = final_scenario_df['END_DATE']\n",
" return final_scenario_df\n" " return final_scenario_df\n"
] ]
},
{
"cell_type": "code",
"execution_count": null,
"id": "40a46887-a848-4f1b-bcf1-4cc46a5235f2",
"metadata": {},
"outputs": [],
"source": []
} }
], ],
"metadata": { "metadata": {

10
main.ipynb
View File

@ -108,11 +108,19 @@
" final_scenario_df['TOTAL_VOLUME'] * 100\n", " final_scenario_df['TOTAL_VOLUME'] * 100\n",
" final_scenario_df['Segment'] = 'Default'\n", " final_scenario_df['Segment'] = 'Default'\n",
" final_scenario_df['SAR_FLAG'] = 'N'\n", " final_scenario_df['SAR_FLAG'] = 'N'\n",
" final_scenario_df['Risk'] = 'Low Risk'\n", " final_scenario_df['Risk'] = 'Medium Risk'\n",
" final_scenario_df.dropna(inplace=True)\n", " final_scenario_df.dropna(inplace=True)\n",
" # final_scenario_df['RUN_DATE'] = final_scenario_df['END_DATE']\n", " # final_scenario_df['RUN_DATE'] = final_scenario_df['END_DATE']\n",
" return final_scenario_df\n" " return final_scenario_df\n"
] ]
},
{
"cell_type": "code",
"execution_count": null,
"id": "40a46887-a848-4f1b-bcf1-4cc46a5235f2",
"metadata": {},
"outputs": [],
"source": []
} }
], ],
"metadata": { "metadata": {

8
main.py
View File

@ -105,8 +105,14 @@ class Scenario:
final_scenario_df['TOTAL_VOLUME'] * 100 final_scenario_df['TOTAL_VOLUME'] * 100
final_scenario_df['Segment'] = 'Default' final_scenario_df['Segment'] = 'Default'
final_scenario_df['SAR_FLAG'] = 'N' final_scenario_df['SAR_FLAG'] = 'N'
final_scenario_df['Risk'] = 'Low Risk' final_scenario_df['Risk'] = 'Medium Risk'
final_scenario_df.dropna(inplace=True) final_scenario_df.dropna(inplace=True)
# final_scenario_df['RUN_DATE'] = final_scenario_df['END_DATE'] # final_scenario_df['RUN_DATE'] = final_scenario_df['END_DATE']
return final_scenario_df return final_scenario_df
# In[ ]: