Created
March 15, 2022 12:36
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A gist illustrating the lux bug for pd.Series unique function
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"id": "1a47ab3d-2685-4917-8512-d7ede8de5bce", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"1.4.0\n", | |
"0.5.1\n" | |
] | |
} | |
], | |
"source": [ | |
"import pandas as pd\n", | |
"import lux\n", | |
"\n", | |
"print(pd.__version__)\n", | |
"print(lux.__version__)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"id": "a5ffbf33-43b3-4d69-bf0e-c126a5b7301a", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"data = pd.DataFrame([['a', 1, 2], ['b', 2, 3], ['c', -1, 17]], columns=['foo', 'bar', 'baz'])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"id": "4e1c443a-3b4c-4f27-a77e-630cddcf39dd", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "b86d19f59c0742de9313db0fc8cf8b8c", | |
"version_major": 2, | |
"version_minor": 0 | |
}, | |
"text/plain": [ | |
"Button(description='Toggle Pandas/Lux', layout=Layout(top='5px', width='140px'), style=ButtonStyle())" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
}, | |
{ | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "f281150947354af3ae3e75764cdbeaab", | |
"version_major": 2, | |
"version_minor": 0 | |
}, | |
"text/plain": [ | |
"Output()" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"data" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"id": "9a3c623d-1674-4442-9967-c150f7569dd4", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"data = data[data['bar'] > 0]['foo']" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"id": "5d741284-619e-4e6f-b6fd-c9eab40cfe18", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "d4550ea2cb704e7caa941cd81d99d708", | |
"version_major": 2, | |
"version_minor": 0 | |
}, | |
"text/plain": [ | |
"Button(description='Toggle Pandas/Lux', layout=Layout(top='5px', width='140px'), style=ButtonStyle())" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
}, | |
{ | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "a0587ab779f0448baa559f5d8d5cac2a", | |
"version_major": 2, | |
"version_minor": 0 | |
}, | |
"text/plain": [ | |
"Output()" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"data" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"id": "fbd53c69-38a4-4d70-bd9e-bc4313d1e628", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"array(['a', 'b', 'c'], dtype='<U1')" | |
] | |
}, | |
"execution_count": 8, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"data.unique()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 9, | |
"id": "4351905c-810b-4970-a33c-c204c7198209", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"lux.core.series.LuxSeries" | |
] | |
}, | |
"execution_count": 9, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"type(data)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"id": "2f484c66-646b-43ab-a5eb-c16d8369613e", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"array(['a', 'b'], dtype=object)" | |
] | |
}, | |
"execution_count": 10, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"pd.Series(data).unique()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 11, | |
"id": "d0a73df6-335a-4cd2-bb5d-7880be4df308", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Package Versions\n", | |
"----------------\n", | |
" Version\n", | |
" python 3.10.2 \n", | |
" lux 0.5.1 \n", | |
" pandas 1.4.0 \n", | |
" luxwidget 0.1.11 \n", | |
" matplotlib 3.5.1 \n", | |
" altair 4.2.0 \n", | |
" IPython 8.0.1 \n", | |
" ipykernel 6.9.0 \n", | |
" ipywidgets 7.6.5 \n", | |
"jupyter_client 7.1.2 \n", | |
" jupyter_core 4.9.1 \n", | |
"jupyter_server 1.13.5 \n", | |
" jupyterlab 3.3.0 \n", | |
" nbclient 0.5.10 \n", | |
" nbconvert 6.4.1 \n", | |
" nbformat 5.1.3 \n", | |
" notebook 6.4.8 \n", | |
" qtconsole 5.2.2 \n", | |
" traitlets 5.1.1 \n", | |
"\n", | |
"Widget Setup\n", | |
"-------------\n", | |
"✅ Jupyter Lab Running\n", | |
"✅ luxwidget is enabled\n", | |
"\n" | |
] | |
} | |
], | |
"source": [ | |
"import lux\n", | |
"lux.debug_info()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "f3fc146c-2700-4a0a-9289-b180da66d207", | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3 (ipykernel)", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.10.2" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 5 | |
} |
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