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System save at 23/05/2025 19:50 by user_client2024

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user_client2024 2025-05-23 14:20:14 +00:00
parent a2e777176e
commit 1b11d46a65
3 changed files with 23 additions and 11 deletions
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15
.ipynb_checkpoints/main-checkpoint.ipynb
View File

@ -94,12 +94,21 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 1,
"id": "b6c85de2-6a47-4109-8885-c138c289ec25",
"metadata": {
"tags": []
},
"outputs": [],
"outputs": [
{
"ename": "IndentationError",
"evalue": "unexpected indent (2236745286.py, line 63)",
"output_type": "error",
"traceback": [
"\u001b[0;36m Cell \u001b[0;32mIn[1], line 63\u001b[0;36m\u001b[0m\n\u001b[0;31m \"Segment\", \"Risk\", \"SAR_FLAG\"\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m unexpected indent\n"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
@ -162,8 +171,6 @@
" acc_data=\"account_data_v1\",\n",
" alert_data=\"alert_data_v1\")\n",
" )\n",
" \"Focal_id\", \"Cash_deposit_total\", \"Cash_deposit_count\",\n",
" \"Segment\", \"Risk\", \"SAR_FLAG\"\n",
" cols = [\n",
" \"transaction_key\",\n",
" \"transaction_date\",\n",

15
main.ipynb
View File

@ -94,12 +94,21 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 1,
"id": "b6c85de2-6a47-4109-8885-c138c289ec25",
"metadata": {
"tags": []
},
"outputs": [],
"outputs": [
{
"ename": "IndentationError",
"evalue": "unexpected indent (2236745286.py, line 63)",
"output_type": "error",
"traceback": [
"\u001b[0;36m Cell \u001b[0;32mIn[1], line 63\u001b[0;36m\u001b[0m\n\u001b[0;31m \"Segment\", \"Risk\", \"SAR_FLAG\"\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m unexpected indent\n"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
@ -162,8 +171,6 @@
" acc_data=\"account_data_v1\",\n",
" alert_data=\"alert_data_v1\")\n",
" )\n",
" \"Focal_id\", \"Cash_deposit_total\", \"Cash_deposit_count\",\n",
" \"Segment\", \"Risk\", \"SAR_FLAG\"\n",
" cols = [\n",
" \"transaction_key\",\n",
" \"transaction_date\",\n",

4
main.py
View File

@ -87,7 +87,7 @@
# return df
# In[2]:
# In[1]:
import pandas as pd
@ -151,8 +151,6 @@ class Scenario:
acc_data="account_data_v1",
alert_data="alert_data_v1")
)
"Focal_id", "Cash_deposit_total", "Cash_deposit_count",
"Segment", "Risk", "SAR_FLAG"
cols = [
"transaction_key",
"transaction_date",