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System save at 23/05/2025 20:41 by user_client2024

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user_client2024 2025-05-23 15:11:24 +00:00
parent 0562cf2d6a
commit cd8cc24134
3 changed files with 12 additions and 12 deletions
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8
.ipynb_checkpoints/main-checkpoint.ipynb
View File

@ -152,7 +152,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 16, "execution_count": 20,
"id": "82c2152f-513c-4fde-a4a9-6ee3a01ef897", "id": "82c2152f-513c-4fde-a4a9-6ee3a01ef897",
"metadata": { "metadata": {
"tags": [] "tags": []
@ -202,9 +202,9 @@
" df_list.append(df_party)\n", " df_list.append(df_party)\n",
"\n", "\n",
" final_df = pd.concat(df_list, ignore_index=True) \n", " final_df = pd.concat(df_list, ignore_index=True) \n",
" Segment = final_df.groupby('Focal_id')['Segment'].agg('max').reset_index()\n", " Segment = data1.groupby('Focal_id')['Segment'].agg('max').reset_index()\n",
" Risk = final_df.groupby('Focal_id')['Risk'].agg('max').reset_index()\n", " Risk = data1.groupby('Focal_id')['Risk'].agg('max').reset_index()\n",
" SAR_FLAG = final_df.groupby('Focal_id')['SAR_FLAG'].agg('max').reset_index()\n", " SAR_FLAG = data1.groupby('Focal_id')['SAR_FLAG'].agg('max').reset_index()\n",
" \n", " \n",
" final_df = final_df.merge(Segment,on = 'Focal_id', how = 'left')\n", " final_df = final_df.merge(Segment,on = 'Focal_id', how = 'left')\n",
" final_df = final_df.merge(Risk,on = 'Focal_id', how = 'left')\n", " final_df = final_df.merge(Risk,on = 'Focal_id', how = 'left')\n",

8
main.ipynb
View File

@ -152,7 +152,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 16, "execution_count": 20,
"id": "82c2152f-513c-4fde-a4a9-6ee3a01ef897", "id": "82c2152f-513c-4fde-a4a9-6ee3a01ef897",
"metadata": { "metadata": {
"tags": [] "tags": []
@ -202,9 +202,9 @@
" df_list.append(df_party)\n", " df_list.append(df_party)\n",
"\n", "\n",
" final_df = pd.concat(df_list, ignore_index=True) \n", " final_df = pd.concat(df_list, ignore_index=True) \n",
" Segment = final_df.groupby('Focal_id')['Segment'].agg('max').reset_index()\n", " Segment = data1.groupby('Focal_id')['Segment'].agg('max').reset_index()\n",
" Risk = final_df.groupby('Focal_id')['Risk'].agg('max').reset_index()\n", " Risk = data1.groupby('Focal_id')['Risk'].agg('max').reset_index()\n",
" SAR_FLAG = final_df.groupby('Focal_id')['SAR_FLAG'].agg('max').reset_index()\n", " SAR_FLAG = data1.groupby('Focal_id')['SAR_FLAG'].agg('max').reset_index()\n",
" \n", " \n",
" final_df = final_df.merge(Segment,on = 'Focal_id', how = 'left')\n", " final_df = final_df.merge(Segment,on = 'Focal_id', how = 'left')\n",
" final_df = final_df.merge(Risk,on = 'Focal_id', how = 'left')\n", " final_df = final_df.merge(Risk,on = 'Focal_id', how = 'left')\n",

8
main.py
View File

@ -139,7 +139,7 @@ query = """
""" """
# In[16]: # In[20]:
def trx_count_sum_groupwise(data_filt_partywise): def trx_count_sum_groupwise(data_filt_partywise):
@ -185,9 +185,9 @@ def scenario9_data(data1):
df_list.append(df_party) df_list.append(df_party)
final_df = pd.concat(df_list, ignore_index=True) final_df = pd.concat(df_list, ignore_index=True)
Segment = final_df.groupby('Focal_id')['Segment'].agg('max').reset_index() Segment = data1.groupby('Focal_id')['Segment'].agg('max').reset_index()
Risk = final_df.groupby('Focal_id')['Risk'].agg('max').reset_index() Risk = data1.groupby('Focal_id')['Risk'].agg('max').reset_index()
SAR_FLAG = final_df.groupby('Focal_id')['SAR_FLAG'].agg('max').reset_index() SAR_FLAG = data1.groupby('Focal_id')['SAR_FLAG'].agg('max').reset_index()
final_df = final_df.merge(Segment,on = 'Focal_id', how = 'left') final_df = final_df.merge(Segment,on = 'Focal_id', how = 'left')
final_df = final_df.merge(Risk,on = 'Focal_id', how = 'left') final_df = final_df.merge(Risk,on = 'Focal_id', how = 'left')