blob: e11a604c8c19da28fe0c9ebeb4b9549894572209 [file] [log] [blame]
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"/Users/konstantin/.miniconda3/envs/hamilton-vaex/lib/python3.9/site-packages/dask/dataframe/_pyarrow_compat.py:17: FutureWarning: Minimal version of pyarrow will soon be increased to 14.0.1. You are using 11.0.0. Please consider upgrading.\n",
" warnings.warn(\n",
"/Users/konstantin/.miniconda3/envs/hamilton-vaex/lib/python3.9/site-packages/scipy/__init__.py:155: UserWarning: A NumPy version >=1.18.5 and <1.25.0 is required for this version of SciPy (detected version 1.26.3\n",
" warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n"
]
}
],
"source": [
"from hamilton import base, driver\n",
"from hamilton.plugins import vaex_extensions, h_vaex"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import my_functions\n",
"\n",
"config = {\n",
" \"base_df_location\": \"dummy_value\",\n",
"}\n",
"adapter = base.SimplePythonGraphAdapter(result_builder=h_vaex.VaexDataFrameResult())\n",
"dr = driver.Driver(config, my_functions, adapter=adapter)\n",
"output_columns = [\n",
" \"spend\",\n",
" \"signups\",\n",
" \"spend_per_signup\",\n",
" \"spend_std_dev\",\n",
" \"spend_mean\",\n",
" \"spend_zero_mean_unit_variance\",\n",
"]\n",
"df = dr.execute(output_columns)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
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"text": [
" # spend signups spend_per_signup spend_zero_mean_unit_variance spend_std_dev spend_mean\n",
" 0 10 1 10 -1.166 15.7233 28.3333\n",
" 1 10 10 1 -1.166 15.7233 28.3333\n",
" 2 20 50 0.4 -0.529999 15.7233 28.3333\n",
" 3 40 100 0.4 0.741999 15.7233 28.3333\n",
" 4 40 200 0.2 0.741999 15.7233 28.3333\n",
" 5 50 400 0.125 1.378 15.7233 28.3333\n"
]
}
],
"source": [
"print(df)"
]
},
{
"cell_type": "code",
"execution_count": 5,
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