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fixing the notebook
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Signed-off-by: SHAHROKH DAIJAVAD <[email protected]>
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shahrokhDaijavad committed Dec 17, 2024
1 parent 570ba01 commit c99d964
Showing 1 changed file with 36 additions and 27 deletions.
63 changes: 36 additions & 27 deletions transforms/code/header_cleanser/header_cleanser.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -15,19 +15,21 @@
"\n",
"make venv \\\n",
"source venv/bin/activate \\\n",
"pip install jupyterlab "
"pip install jupyter lab \\\n",
"venv\\bin\\jupyter lab\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"%%capture\n",
"# Users and application developers must use the right tag for the latest version from pypi\n",
"!pip install data-prep-toolkit==0.2.2.dev2\n",
"!pip install 'data-prep-toolkit-transforms[header_cleanser]==0.2.2.dev2'\n",
"!pip install 'data-prep-toolkit-transforms[header_cleanser]==0.2.2.dev3'\n",
"!pip install scancode-toolkit\n",
"!pip install pandas"
]
},
Expand All @@ -45,7 +47,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -63,14 +65,14 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# Input/output configuration\n",
"local_conf = {\n",
" \"input_folder\": \"path/to/your/input/folder\", # Adjust path for input files\n",
" \"output_folder\": \"path/to/your/output/folder\", # Adjust path for output files\n",
" \"input_folder\": \"python/test-data/input\", # Adjust path for input files\n",
" \"output_folder\": \"output\", # Adjust path for output files\n",
"}\n",
"\n",
"# Parameters for the transform\n",
Expand All @@ -92,24 +94,24 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"08:15:27 INFO - pipeline id pipeline_id\n",
"08:15:27 INFO - code location None\n",
"08:15:27 INFO - data factory data_ is using local data access: input_folder - input output_folder - output\n",
"08:15:27 INFO - data factory data_ max_files -1, n_sample -1\n",
"08:15:27 INFO - data factory data_ Not using data sets, checkpointing False, max files -1, random samples -1, files to use ['.parquet'], files to checkpoint ['.parquet']\n",
"08:15:27 INFO - orchestrator header_cleanser started at 2024-12-01 08:15:27\n",
"08:15:27 INFO - Number of files is 1, source profile {'max_file_size': 0.016656875610351562, 'min_file_size': 0.016656875610351562, 'total_file_size': 0.016656875610351562}\n",
"08:15:31 INFO - Completed 1 files (100.0%) in 0.056 min\n",
"08:15:31 INFO - Done processing 1 files, waiting for flush() completion.\n",
"08:15:31 INFO - done flushing in 0.0 sec\n",
"08:15:31 INFO - Completed execution in 0.057 min, execution result 0\n"
"21:15:54 INFO - pipeline id pipeline_id\n",
"21:15:54 INFO - code location None\n",
"21:15:54 INFO - data factory data_ is using local data access: input_folder - python/test-data/input output_folder - output\n",
"21:15:54 INFO - data factory data_ max_files -1, n_sample -1\n",
"21:15:54 INFO - data factory data_ Not using data sets, checkpointing False, max files -1, random samples -1, files to use ['.parquet'], files to checkpoint ['.parquet']\n",
"21:15:54 INFO - orchestrator header_cleanser started at 2024-12-17 21:15:54\n",
"21:15:54 INFO - Number of files is 1, source profile {'max_file_size': 0.016656875610351562, 'min_file_size': 0.016656875610351562, 'total_file_size': 0.016656875610351562}\n",
"21:16:33 INFO - Completed 1 files (100.0%) in 0.653 min\n",
"21:16:33 INFO - Done processing 1 files, waiting for flush() completion.\n",
"21:16:33 INFO - done flushing in 0.0 sec\n",
"21:16:33 INFO - Completed execution in 0.653 min, execution result 0\n"
]
}
],
Expand All @@ -131,7 +133,7 @@
},
{
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"execution_count": null,
"execution_count": 10,
"metadata": {},
"outputs": [
{
Expand Down Expand Up @@ -217,21 +219,21 @@
"9 # This file installs package dependencies for ..."
]
},
"execution_count": 20,
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pyarrow.parquet as pq\n",
"import pandas as pd\n",
"table = pq.read_table('path/to/your/output/folder/sample.parquet')\n",
"table = pq.read_table('output/test1.parquet')\n",
"table.to_pandas()"
]
},
{
"cell_type": "code",
"execution_count": 21,
"execution_count": 11,
"metadata": {},
"outputs": [
{
Expand All @@ -240,7 +242,7 @@
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]
},
"execution_count": 21,
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -259,11 +261,18 @@
"2. Use the latest tagged version from PyPI for stability.\n",
"3. Transform parameters can be customized as per requirements. Update params accordingly."
]
},
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"metadata": {
"kernelspec": {
"display_name": "venv",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
Expand All @@ -277,9 +286,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.7"
}
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"nbformat": 4,
"nbformat_minor": 2
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}

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