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Fixed window function error #983

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Fixed window function error #983

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7f1d12b
Fixed window function error
JasonD13 Aug 5, 2025
403c510
Updated the queryband value. Updated the copyright date.
DallasBowden Oct 3, 2025
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18 changes: 14 additions & 4 deletions UseCases/Anomaly_Detection/Anomaly_Detection_PY_SQL.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -68,8 +68,7 @@
"metadata": {},
"outputs": [],
"source": [
"%%capture\n",
"# # '%%capture' suppresses the display of installation steps of the following packages\n",
"# %%capture suppresses the display of installation steps of the following packages\n",
"# !pip install tdsense\n",
"# !pip install imblearn\n",
"# !pip install xgboost==1.7.3\n",
Expand Down Expand Up @@ -175,7 +174,7 @@
"outputs": [],
"source": [
"%%capture\n",
"execute_sql('''SET query_band='DEMO=AnomalyDetection.ipynb;' UPDATE FOR SESSION; ''')"
"execute_sql('''SET query_band='DEMO=AnomalyDetection_PY_SQL.ipynb;' UPDATE FOR SESSION; ''')"
]
},
{
Expand Down Expand Up @@ -457,6 +456,17 @@
"<p style = 'font-size:16px;font-family:Arial'>Next we calculate the derivative by using the lead function and taking the difference of the lead value and the mean value of the resistance. Applying a window function to smooth the resistance curve helps to eliminate noise and makes it easier to see the overall trend. The derivative of the resistance gives an indication of how quickly the resistance is changing, which can be a useful measure for detecting anomalies and predicting potential issues.</p>\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e520bd85-78ba-4356-b7e2-45a431458bd8",
"metadata": {},
"outputs": [],
"source": [
"copy_to_sql(welding_dataset_smooth,table_name='welding_dataset_smooth', if_exists='replace')\n",
"welding_dataset_smooth = DataFrame('welding_dataset_smooth')"
]
},
{
"cell_type": "code",
"execution_count": null,
Expand Down Expand Up @@ -1934,7 +1944,7 @@
"<div style=\"float:left;margin-top:14px\">ClearScape Analytics™</div>\n",
"<div style=\"float:right;\">\n",
"<div style=\"float:left; margin-top:14px\">\n",
" Copyright © Teradata Corporation - 2023, 2024. All Rights Reserved\n",
" Copyright © Teradata Corporation - 2023, 2024, 2025. All Rights Reserved\n",
"</div>\n",
"</div>\n",
"</footer>"
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11 changes: 11 additions & 0 deletions UseCases/Anomaly_Detection/Anomaly_Detection_Python_TrustedAI.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -482,6 +482,17 @@
"<p style = 'font-size:16px;font-family:Arial'>Next we calculate the derivative by using the lead function and taking the difference of the lead value and the mean value of the resistance. Applying a window function to smooth the resistance curve helps to eliminate noise and makes it easier to see the overall trend. The derivative of the resistance gives an indication of how quickly the resistance is changing, which can be a useful measure for detecting anomalies and predicting potential issues.</p>\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c494a795-c9bf-4d3b-8ecf-549ba4ad7b79",
"metadata": {},
"outputs": [],
"source": [
"copy_to_sql(welding_dataset_smooth,table_name='welding_dataset_smooth', if_exists='replace')\n",
"welding_dataset_smooth = DataFrame('welding_dataset_smooth')"
]
},
{
"cell_type": "code",
"execution_count": null,
Expand Down