77 lines (76 with data), 2.1 kB
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"variables = pd.read_csv('/vol/sleepstudy/datasets/mesa/datasets/mesa-data-dictionary-0.7.0-variables.csv')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"ahis = []\n",
"for _, row in variables.iterrows():\n",
" id_name = row.loc['id']\n",
" if 'ahi' in id_name.lower():\n",
" ahis.append(id_name)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\"nsrr_ahi_hp3r_aasm15', 'nsrr_ahi_hp3u', 'nsrr_ahi_hp4r', 'nsrr_ahi_hp4u_aasm15', 'ahi4p_nrem5', 'ahi4p_nsup5', 'ahi4p_rem5', 'ahi4p_sup5', 'ahi4pa_nrem5', 'ahi4pa_nsup5', 'ahi4pa_rem5', 'ahi4pa_sup5', 'ahi_a0h3', 'ahi_a0h3a', 'ahi_a0h4', 'ahi_a0h4a', 'ahi_c0h3', 'ahi_c0h3a', 'ahi_c0h4', 'ahi_c0h4a', 'ahi_o0h3', 'ahi_o0h3a', 'ahi_o0h4', 'ahi_o0h4a', 'ahiu35', 'oahi35', 'oahi3_nrem5', 'oahi3_nsup5', 'oahi3_rem5', 'oahi3_sup5', 'oahi3pa5', 'oahi3pa_nrem5', 'oahi3pa_nsup5', 'oahi3pa_rem5', 'oahi3pa_sup5', 'oahi45', 'oahi4_nrem5', 'oahi4_nsup5', 'oahi4_rem5', 'oahi4_sup5', 'oahi4pa5', 'oahi4pa_nrem5', 'oahi4pa_nsup5', 'oahi4pa_rem5', 'oahi4pa_sup5', 'ahiov505\""
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"'\\', \\''.join(ahis)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "master",
"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": "3.12.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}