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Importing the Texas Public Use Data File into Jupyter Notebook
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{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"data = pd.read_csv(\n",
" \"C:\\\\Users\\\\Vikas\\\\PUDF_base1_1q2012_tab.txt\",\n",
" delimiter=\"\\t\",\n",
" header=0,\n",
" dtype=\"str\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>RECORD_ID</th>\n",
" <th>DISCHARGE</th>\n",
" <th>THCIC_ID</th>\n",
" <th>PROVIDER_NAME</th>\n",
" <th>TYPE_OF_ADMISSION</th>\n",
" <th>SOURCE_OF_ADMISSION</th>\n",
" <th>SPEC_UNIT_1</th>\n",
" <th>SPEC_UNIT_2</th>\n",
" <th>SPEC_UNIT_3</th>\n",
" <th>SPEC_UNIT_4</th>\n",
" <th>...</th>\n",
" <th>APR_DRG</th>\n",
" <th>RISK_MORTALITY</th>\n",
" <th>ILLNESS_SEVERITY</th>\n",
" <th>APR_GROUPER_VERSION_NBR</th>\n",
" <th>APR_GROUPER_ERROR_CODE</th>\n",
" <th>ATTENDING_PHYSICIAN_UNIF_ID</th>\n",
" <th>OPERATING_PHYSICIAN_UNIF_ID</th>\n",
" <th>ENCOUNTER_INDICATOR</th>\n",
" <th>CERT_STATUS</th>\n",
" <th>FILLER_SPACE</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>120120107482</td>\n",
" <td>2012Q1</td>\n",
" <td>000100</td>\n",
" <td>Austin State Hospital</td>\n",
" <td>2</td>\n",
" <td>8</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>052</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>07290</td>\n",
" <td>00</td>\n",
" <td>9999999998</td>\n",
" <td>NaN</td>\n",
" <td>01</td>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>120120107487</td>\n",
" <td>2012Q1</td>\n",
" <td>000100</td>\n",
" <td>Austin State Hospital</td>\n",
" <td>2</td>\n",
" <td>8</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>756</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>07290</td>\n",
" <td>00</td>\n",
" <td>9999999998</td>\n",
" <td>NaN</td>\n",
" <td>01</td>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>120120107568</td>\n",
" <td>2012Q1</td>\n",
" <td>000100</td>\n",
" <td>Austin State Hospital</td>\n",
" <td>2</td>\n",
" <td>8</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>754</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>07290</td>\n",
" <td>00</td>\n",
" <td>9999999998</td>\n",
" <td>NaN</td>\n",
" <td>01</td>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>120120107381</td>\n",
" <td>2012Q1</td>\n",
" <td>000100</td>\n",
" <td>Austin State Hospital</td>\n",
" <td>2</td>\n",
" <td>8</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>754</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>07290</td>\n",
" <td>00</td>\n",
" <td>9999999998</td>\n",
" <td>NaN</td>\n",
" <td>01</td>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>120120107410</td>\n",
" <td>2012Q1</td>\n",
" <td>000100</td>\n",
" <td>Austin State Hospital</td>\n",
" <td>2</td>\n",
" <td>8</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>...</td>\n",
" <td>754</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>07290</td>\n",
" <td>00</td>\n",
" <td>9999999998</td>\n",
" <td>NaN</td>\n",
" <td>01</td>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 194 columns</p>\n",
"</div>"
],
"text/plain": [
" RECORD_ID DISCHARGE THCIC_ID PROVIDER_NAME TYPE_OF_ADMISSION \\\n",
"0 120120107482 2012Q1 000100 Austin State Hospital 2 \n",
"1 120120107487 2012Q1 000100 Austin State Hospital 2 \n",
"2 120120107568 2012Q1 000100 Austin State Hospital 2 \n",
"3 120120107381 2012Q1 000100 Austin State Hospital 2 \n",
"4 120120107410 2012Q1 000100 Austin State Hospital 2 \n",
"\n",
" SOURCE_OF_ADMISSION SPEC_UNIT_1 SPEC_UNIT_2 SPEC_UNIT_3 SPEC_UNIT_4 \\\n",
"0 8 NaN NaN NaN NaN \n",
"1 8 NaN NaN NaN NaN \n",
"2 8 NaN NaN NaN NaN \n",
"3 8 NaN NaN NaN NaN \n",
"4 8 NaN NaN NaN NaN \n",
"\n",
" ... APR_DRG RISK_MORTALITY ILLNESS_SEVERITY \\\n",
"0 ... 052 1 1 \n",
"1 ... 756 1 1 \n",
"2 ... 754 1 1 \n",
"3 ... 754 1 1 \n",
"4 ... 754 1 1 \n",
"\n",
" APR_GROUPER_VERSION_NBR APR_GROUPER_ERROR_CODE ATTENDING_PHYSICIAN_UNIF_ID \\\n",
"0 07290 00 9999999998 \n",
"1 07290 00 9999999998 \n",
"2 07290 00 9999999998 \n",
"3 07290 00 9999999998 \n",
"4 07290 00 9999999998 \n",
"\n",
" OPERATING_PHYSICIAN_UNIF_ID ENCOUNTER_INDICATOR CERT_STATUS FILLER_SPACE \n",
"0 NaN 01 2 NaN \n",
"1 NaN 01 2 NaN \n",
"2 NaN 01 2 NaN \n",
"3 NaN 01 2 NaN \n",
"4 NaN 01 2 NaN \n",
"\n",
"[5 rows x 194 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
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"file_extension": ".py",
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"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
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"nbformat": 4,
"nbformat_minor": 2
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