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

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user_client2024 2024-11-04 11:34:19 +00:00
parent e11ed053b3
commit ef4cb038a9
3 changed files with 9 additions and 9 deletions
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6
.ipynb_checkpoints/main-checkpoint.ipynb
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@ -106,9 +106,9 @@
" final_scenario_df = pd.DataFrame(row_list, columns = cols)\n", " final_scenario_df = pd.DataFrame(row_list, columns = cols)\n",
" final_scenario_df['PARTICIPANT_VOLUME_PCT'] = final_scenario_df['PARTICIPANT_VOLUME']/\\\n", " final_scenario_df['PARTICIPANT_VOLUME_PCT'] = final_scenario_df['PARTICIPANT_VOLUME']/\\\n",
" final_scenario_df['TOTAL_VOLUME'] * 100\n", " final_scenario_df['TOTAL_VOLUME'] * 100\n",
" final_scenario_df['Segment'] = 1\n", " final_scenario_df['Segment'] = \"Default\"\n",
" final_scenario_df['SAR_FLAG'] = 1\n", " final_scenario_df['SAR_FLAG'] = \"N\"\n",
" final_scenario_df['Risk'] = 1\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"

6
main.ipynb
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@ -106,9 +106,9 @@
" final_scenario_df = pd.DataFrame(row_list, columns = cols)\n", " final_scenario_df = pd.DataFrame(row_list, columns = cols)\n",
" final_scenario_df['PARTICIPANT_VOLUME_PCT'] = final_scenario_df['PARTICIPANT_VOLUME']/\\\n", " final_scenario_df['PARTICIPANT_VOLUME_PCT'] = final_scenario_df['PARTICIPANT_VOLUME']/\\\n",
" final_scenario_df['TOTAL_VOLUME'] * 100\n", " final_scenario_df['TOTAL_VOLUME'] * 100\n",
" final_scenario_df['Segment'] = 1\n", " final_scenario_df['Segment'] = \"Default\"\n",
" final_scenario_df['SAR_FLAG'] = 1\n", " final_scenario_df['SAR_FLAG'] = \"N\"\n",
" final_scenario_df['Risk'] = 1\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"

6
main.py
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@ -103,9 +103,9 @@ class Scenario:
final_scenario_df = pd.DataFrame(row_list, columns = cols) final_scenario_df = pd.DataFrame(row_list, columns = cols)
final_scenario_df['PARTICIPANT_VOLUME_PCT'] = final_scenario_df['PARTICIPANT_VOLUME']/\ final_scenario_df['PARTICIPANT_VOLUME_PCT'] = final_scenario_df['PARTICIPANT_VOLUME']/\
final_scenario_df['TOTAL_VOLUME'] * 100 final_scenario_df['TOTAL_VOLUME'] * 100
final_scenario_df['Segment'] = 1 final_scenario_df['Segment'] = "Default"
final_scenario_df['SAR_FLAG'] = 1 final_scenario_df['SAR_FLAG'] = "N"
final_scenario_df['Risk'] = 1 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