generated from user_client2024/184
System save at 27/11/2025 10:18 by user_client2024
This commit is contained in:
user_client2024
parent
1dc9b40c55
commit
a088b1f19d
@ -2,7 +2,7 @@
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"execution_count": 3,
|
||||
"id": "e706cfb0-2234-4c4c-95d8-d1968f656aa0",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
@ -14,7 +14,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"execution_count": 4,
|
||||
"id": "f35b1262-3c20-44a6-bbd3-2679a15551e6",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
@ -27,7 +27,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"execution_count": 5,
|
||||
"id": "e52124e8-4f62-449d-8852-1e04f8c01ecc",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
@ -36,17 +36,20 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[['account_data_v1'],\n",
|
||||
"[['abhitesttable'],\n",
|
||||
" ['abhitesttable22'],\n",
|
||||
" ['account_data_v1'],\n",
|
||||
" ['account_data_v2'],\n",
|
||||
" ['alert_data_v1'],\n",
|
||||
" ['alert_data_v2'],\n",
|
||||
" ['customer_data_v1'],\n",
|
||||
" ['customer_data_v2'],\n",
|
||||
" ['percentile_dist'],\n",
|
||||
" ['transaction10m'],\n",
|
||||
" ['transaction60m']]"
|
||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
"execution_count": 5,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@ -57,7 +60,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"execution_count": 6,
|
||||
"id": "dda35e8d-8997-42d4-a472-844c208d0f49",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
@ -127,7 +130,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"execution_count": 25,
|
||||
"id": "fb0405fe-cd10-4da1-9f06-fe52cff942b4",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
@ -158,15 +161,17 @@
|
||||
" .reset_index()\n",
|
||||
" .rename(columns={\"Total_Wire_Deposit_Amt\": \"P98_Value\"})\n",
|
||||
" )\n",
|
||||
" print(p98)\n",
|
||||
"\n",
|
||||
" # Merge percentile back to main dataframe\n",
|
||||
" df = df.merge(p98, on=\"Segment\", how=\"left\")\n",
|
||||
"\n",
|
||||
" # Step 2: Identify population above 98th percentile\n",
|
||||
" high_pop = df[\"Total_Wire_Deposit_Amt\"] > df[\"P98_Value\"]\n",
|
||||
" print(high_pop)\n",
|
||||
"\n",
|
||||
" # Step 3: From this high-risk population, select 0.1% random sample\n",
|
||||
" sample_fraction = 0.001 # 0.1%\n",
|
||||
" sample_fraction = 0.1 # 0.1%\n",
|
||||
" high_pop_indices = df[high_pop].sample(frac=sample_fraction, random_state=42).index\n",
|
||||
"\n",
|
||||
" # Step 4: Assign SAR_FLAG\n",
|
||||
@ -178,7 +183,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"execution_count": 28,
|
||||
"id": "ddc11b42-6cbb-419b-9e26-73e7606e18a6",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
@ -186,7 +191,19 @@
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# sen = Scenario()\n",
|
||||
"# sen.logic()"
|
||||
"# a = sen.logic()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 29,
|
||||
"id": "2eac1531-e4b9-4b51-a216-75013c4c4f15",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# a[a['SAR_FLAG'] == \"Y\"]"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
37
main.ipynb
37
main.ipynb
@ -2,7 +2,7 @@
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"execution_count": 3,
|
||||
"id": "e706cfb0-2234-4c4c-95d8-d1968f656aa0",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
@ -14,7 +14,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"execution_count": 4,
|
||||
"id": "f35b1262-3c20-44a6-bbd3-2679a15551e6",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
@ -27,7 +27,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"execution_count": 5,
|
||||
"id": "e52124e8-4f62-449d-8852-1e04f8c01ecc",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
@ -36,17 +36,20 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"[['account_data_v1'],\n",
|
||||
"[['abhitesttable'],\n",
|
||||
" ['abhitesttable22'],\n",
|
||||
" ['account_data_v1'],\n",
|
||||
" ['account_data_v2'],\n",
|
||||
" ['alert_data_v1'],\n",
|
||||
" ['alert_data_v2'],\n",
|
||||
" ['customer_data_v1'],\n",
|
||||
" ['customer_data_v2'],\n",
|
||||
" ['percentile_dist'],\n",
|
||||
" ['transaction10m'],\n",
|
||||
" ['transaction60m']]"
|
||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
"execution_count": 5,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@ -57,7 +60,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"execution_count": 6,
|
||||
"id": "dda35e8d-8997-42d4-a472-844c208d0f49",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
@ -127,7 +130,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"execution_count": 25,
|
||||
"id": "fb0405fe-cd10-4da1-9f06-fe52cff942b4",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
@ -158,15 +161,17 @@
|
||||
" .reset_index()\n",
|
||||
" .rename(columns={\"Total_Wire_Deposit_Amt\": \"P98_Value\"})\n",
|
||||
" )\n",
|
||||
" print(p98)\n",
|
||||
"\n",
|
||||
" # Merge percentile back to main dataframe\n",
|
||||
" df = df.merge(p98, on=\"Segment\", how=\"left\")\n",
|
||||
"\n",
|
||||
" # Step 2: Identify population above 98th percentile\n",
|
||||
" high_pop = df[\"Total_Wire_Deposit_Amt\"] > df[\"P98_Value\"]\n",
|
||||
" print(high_pop)\n",
|
||||
"\n",
|
||||
" # Step 3: From this high-risk population, select 0.1% random sample\n",
|
||||
" sample_fraction = 0.001 # 0.1%\n",
|
||||
" sample_fraction = 0.1 # 0.1%\n",
|
||||
" high_pop_indices = df[high_pop].sample(frac=sample_fraction, random_state=42).index\n",
|
||||
"\n",
|
||||
" # Step 4: Assign SAR_FLAG\n",
|
||||
@ -178,7 +183,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"execution_count": 28,
|
||||
"id": "ddc11b42-6cbb-419b-9e26-73e7606e18a6",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
@ -186,7 +191,19 @@
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# sen = Scenario()\n",
|
||||
"# sen.logic()"
|
||||
"# a = sen.logic()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 29,
|
||||
"id": "2eac1531-e4b9-4b51-a216-75013c4c4f15",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# a[a['SAR_FLAG'] == \"Y\"]"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
24
main.py
24
main.py
@ -1,26 +1,26 @@
|
||||
#!/usr/bin/env python
|
||||
# coding: utf-8
|
||||
|
||||
# In[1]:
|
||||
# In[3]:
|
||||
|
||||
|
||||
import pandas as pd
|
||||
|
||||
|
||||
# In[2]:
|
||||
# In[4]:
|
||||
|
||||
|
||||
from tms_data_interface import SQLQueryInterface
|
||||
seq = SQLQueryInterface(schema="transactionschema")
|
||||
|
||||
|
||||
# In[3]:
|
||||
# In[5]:
|
||||
|
||||
|
||||
seq.execute_raw("show tables")
|
||||
|
||||
|
||||
# In[4]:
|
||||
# In[6]:
|
||||
|
||||
|
||||
query = """
|
||||
@ -84,7 +84,7 @@ query = """
|
||||
"""
|
||||
|
||||
|
||||
# In[5]:
|
||||
# In[25]:
|
||||
|
||||
|
||||
from tms_data_interface import SQLQueryInterface
|
||||
@ -111,15 +111,17 @@ class Scenario:
|
||||
.reset_index()
|
||||
.rename(columns={"Total_Wire_Deposit_Amt": "P98_Value"})
|
||||
)
|
||||
print(p98)
|
||||
|
||||
# Merge percentile back to main dataframe
|
||||
df = df.merge(p98, on="Segment", how="left")
|
||||
|
||||
# Step 2: Identify population above 98th percentile
|
||||
high_pop = df["Total_Wire_Deposit_Amt"] > df["P98_Value"]
|
||||
print(high_pop)
|
||||
|
||||
# Step 3: From this high-risk population, select 0.1% random sample
|
||||
sample_fraction = 0.001 # 0.1%
|
||||
sample_fraction = 0.1 # 0.1%
|
||||
high_pop_indices = df[high_pop].sample(frac=sample_fraction, random_state=42).index
|
||||
|
||||
# Step 4: Assign SAR_FLAG
|
||||
@ -129,11 +131,17 @@ class Scenario:
|
||||
return df
|
||||
|
||||
|
||||
# In[7]:
|
||||
# In[28]:
|
||||
|
||||
|
||||
# sen = Scenario()
|
||||
# sen.logic()
|
||||
# a = sen.logic()
|
||||
|
||||
|
||||
# In[29]:
|
||||
|
||||
|
||||
# a[a['SAR_FLAG'] == "Y"]
|
||||
|
||||
|
||||
# In[ ]:
|
||||
|
||||
Loading…
Reference in New Issue
Block a user