From 0013e10f11e66182ba7119f7f028f6b7c49c7555 Mon Sep 17 00:00:00 2001 From: user_client2024 Date: Mon, 4 Nov 2024 12:23:11 +0000 Subject: [PATCH] System save at 04/11/2024 17:53 by user_client2024 --- .ipynb_checkpoints/main-checkpoint.ipynb | 10 +++++++++- main.ipynb | 10 +++++++++- main.py | 8 +++++++- 3 files changed, 25 insertions(+), 3 deletions(-) diff --git a/.ipynb_checkpoints/main-checkpoint.ipynb b/.ipynb_checkpoints/main-checkpoint.ipynb index 7869a99..f4a8dba 100644 --- a/.ipynb_checkpoints/main-checkpoint.ipynb +++ b/.ipynb_checkpoints/main-checkpoint.ipynb @@ -108,11 +108,19 @@ " final_scenario_df['TOTAL_VOLUME'] * 100\n", " final_scenario_df['Segment'] = 'Default'\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['RUN_DATE'] = final_scenario_df['END_DATE']\n", " return final_scenario_df\n" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "40a46887-a848-4f1b-bcf1-4cc46a5235f2", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/main.ipynb b/main.ipynb index 7869a99..f4a8dba 100644 --- a/main.ipynb +++ b/main.ipynb @@ -108,11 +108,19 @@ " final_scenario_df['TOTAL_VOLUME'] * 100\n", " final_scenario_df['Segment'] = 'Default'\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['RUN_DATE'] = final_scenario_df['END_DATE']\n", " return final_scenario_df\n" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "40a46887-a848-4f1b-bcf1-4cc46a5235f2", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/main.py b/main.py index 6cbb4d9..85655d3 100644 --- a/main.py +++ b/main.py @@ -105,8 +105,14 @@ class Scenario: final_scenario_df['TOTAL_VOLUME'] * 100 final_scenario_df['Segment'] = 'Default' 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['RUN_DATE'] = final_scenario_df['END_DATE'] return final_scenario_df + +# In[ ]: + + + +