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pdfplumber/examples/notebooks/san-jose-pd-firearm-report.ipynb
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Jeremy Singer-Vine d7e4915c11 Update example notebooks
2024-08-07 15:50:10 -04:00

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Parsing San Jose PD's firearm search reports\n",
"\n",
"This example uses `pdfplumber`'s visual debugging and text-extraction features to parse a fixed-width table embedded in a PDF. Thanks to [Ron Campbell](https://twitter.com/campbellronaldw) for the sample PDF."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.11.3\n"
]
}
],
"source": [
"import pdfplumber\n",
"import re\n",
"print(pdfplumber.__version__)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Load the PDF"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"pdf = pdfplumber.open(\"../pdfs/san-jose-pd-firearm-sample.pdf\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Examine the first page"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"p0 = pdf.pages[0]"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<pdfplumber.display.PageImage at 0x1036a61e0>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"im = p0.to_image()\n",
"im"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## See where the characters are on the page\n",
"\n",
"Below, we draw rectangles around each of the `char` objects that `pdfplumber` detected. By doing so, we can see that every line of the main part of the report is the same width, and that there are space (`\" \"`) characters padding out each field. That means we can parse those lines a lot like we'd parse a standard fixed-width data file."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<pdfplumber.display.PageImage at 0x1036a61e0>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"im.reset().draw_rects(p0.chars)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Extract the text from the PDF\n",
"\n",
"Using the `Page.extract_text(...)` method, we grab every character on the page, line by line, using `keep_blank_chars=True` to retain all those whitespace characters as literal characters:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"For:1094N \n",
"Page 1 SAN JOSE POLICE DEPT Date Report Run : Tue, May-24-16\n",
" FIREARM SEARCH \n",
"SEARCH CRITERIA: fi_property.item_status='B' and fi_property.entry_date between '07/01/2012' and '05/24/2016' and fi_p\n",
" roperty.jurisdiction='SJ' \n",
"NUMBER OF RECORDS RETURNED: 983\n",
"TYPE ITEM MAKE MODEL CALIBRE STATUS FLAGS\n",
"-------------------- -------------------- --------------------------------------------- --------------- ------- -------- -----\n",
"SERIAL NUMBER REPORT/TAG NUMBER CASE/FILE NUMBER STORAGE LOCATION\n",
"------------- ------------------- -------------------- ----------------------- \n",
"PISTOL REVOLVER UNKWN/UNPUBLSHD MAKE UNKNOWN 38 FOUND _d__\n",
"1721 Tag#:SJ3095-1 GO SJ 2012-122590518 WA-GR/GUN DESTRUCTION \n",
"SHOTGUN DOUBLE BARREL STEVEN/J STVNS ARMS 311 SERIES H 12GA FOUND _d__\n",
"REMOVED Tag#:SJ3123-1 GO SJ 2012-122620320 WA-GR/GUN DESTRUCTION \n",
"PISTOL SEMI-AUTOMATIC TAURUS FORJAS PT40 PRO MIL'NU 40 FOUND _d__\n",
"SZH77919 Tag#:SJ3360-1 GO SJ 2012-122670386 WA-GR/GUN DESTRUCTION/G\n",
"PISTOL SEMI-AUTOMATIC SMITH AND WESSON 39 9MM FOUND _d__\n",
"85517 Tag#:SJ3686-1 GO SJ 2012-122741016 WA-GR/GUN DESTRUCTION/G\n",
"PISTOL SEMI-AUTOMATIC HIGH POINT JCP 40 FOUND ____\n",
"REMOVED Tag#:SJ3724-1 GO SJ 2012-122750582 WA-GR/GUN DESTRUCTION/G\n",
"PISTOL REVOLVER COLT DETECTIVE SPEC 38 FOUND _d__\n",
"982982 Tag#:SJ4077-2 GO SJ 2012-122840637 WA-GR/GUN DESTRUCTION/Z\n",
"SHOTGUN DOUBLE BARREL MISS.VALLEY ARMS CO. UNK 12GA FOUND _d__\n",
"279861 Tag#:SJ4117-1 GO SJ 2012-122850220 WA-GR/GUN DESTRUCTION \n",
"RIFLE LEVER ACTION SEARS ROEBUCK & CO. 5 22 FOUND _d__\n",
"63723 Tag#:SJ4172-1 GO SJ 2012-122860208 WA-GR/GUN DESTRUCTION \n",
"PISTOL SEMI-AUTOMATIC COLT MATCH TARGET .22 FOUND _d__\n",
"142061S Tag#:SJ4324-1 GO SJ 2012-122890285 WA-GR/GD-SCCCL \n",
"PISTOL REVOLVER SMITH AND WESSON UNKNOWN .22 FOUND _d__\n",
"K22539 Tag#:SJ4324-2 GO SJ 2012-122890285 WA-GR/GUN DESTRUCTION \n",
"RIFLE LEVER ACTION STEVEN/J STVNS ARMS CRACK SHOT 26 .22 FOUND _d__\n",
"UNKNOWN Tag#:SJ4324-3 GO SJ 2012-122890285 WA-GR/GUN DESTRUCTION \n",
"PISTOL SEMI-AUTOMATIC CARL WALTHER PPK 7.65 FOUND _d__\n",
"832229 Tag#:SJ4664-1 GO SJ 2012-122960284 WA-GR/GD-SCCCL \n",
" Flags = e (evidence) d (disposed) x (x-reference) n (entered on NCIC)\n"
]
}
],
"source": [
"text = p0.extract_text(keep_blank_chars=True)\n",
"print(text)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Stripping away the header and footer\n",
"\n",
"In this step, we use a regular expression to focus on the core part of the page — the table."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"core_pat = re.compile(r\"LOCATION[\\-\\s]+(.*)\\n\\s+Flags = e\", re.DOTALL)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"core = re.search(core_pat, text).group(1)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"PISTOL REVOLVER UNKWN/UNPUBLSHD MAKE UNKNOWN 38 FOUND _d__\n",
"1721 Tag#:SJ3095-1 GO SJ 2012-122590518 WA-GR/GUN DESTRUCTION \n",
"SHOTGUN DOUBLE BARREL STEVEN/J STVNS ARMS 311 SERIES H 12GA FOUND _d__\n",
"REMOVED Tag#:SJ3123-1 GO SJ 2012-122620320 WA-GR/GUN DESTRUCTION \n",
"PISTOL SEMI-AUTOMATIC TAURUS FORJAS PT40 PRO MIL'NU 40 FOUND _d__\n",
"SZH77919 Tag#:SJ3360-1 GO SJ 2012-122670386 WA-GR/GUN DESTRUCTION/G\n",
"PISTOL SEMI-AUTOMATIC SMITH AND WESSON 39 9MM FOUND _d__\n",
"85517 Tag#:SJ3686-1 GO SJ 2012-122741016 WA-GR/GUN DESTRUCTION/G\n",
"PISTOL SEMI-AUTOMATIC HIGH POINT JCP 40 FOUND ____\n",
"REMOVED Tag#:SJ3724-1 GO SJ 2012-122750582 WA-GR/GUN DESTRUCTION/G\n",
"PISTOL REVOLVER COLT DETECTIVE SPEC 38 FOUND _d__\n",
"982982 Tag#:SJ4077-2 GO SJ 2012-122840637 WA-GR/GUN DESTRUCTION/Z\n",
"SHOTGUN DOUBLE BARREL MISS.VALLEY ARMS CO. UNK 12GA FOUND _d__\n",
"279861 Tag#:SJ4117-1 GO SJ 2012-122850220 WA-GR/GUN DESTRUCTION \n",
"RIFLE LEVER ACTION SEARS ROEBUCK & CO. 5 22 FOUND _d__\n",
"63723 Tag#:SJ4172-1 GO SJ 2012-122860208 WA-GR/GUN DESTRUCTION \n",
"PISTOL SEMI-AUTOMATIC COLT MATCH TARGET .22 FOUND _d__\n",
"142061S Tag#:SJ4324-1 GO SJ 2012-122890285 WA-GR/GD-SCCCL \n",
"PISTOL REVOLVER SMITH AND WESSON UNKNOWN .22 FOUND _d__\n",
"K22539 Tag#:SJ4324-2 GO SJ 2012-122890285 WA-GR/GUN DESTRUCTION \n",
"RIFLE LEVER ACTION STEVEN/J STVNS ARMS CRACK SHOT 26 .22 FOUND _d__\n",
"UNKNOWN Tag#:SJ4324-3 GO SJ 2012-122890285 WA-GR/GUN DESTRUCTION \n",
"PISTOL SEMI-AUTOMATIC CARL WALTHER PPK 7.65 FOUND _d__\n",
"832229 Tag#:SJ4664-1 GO SJ 2012-122960284 WA-GR/GD-SCCCL \n"
]
}
],
"source": [
"print(core)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Parse each group of two lines\n",
"\n",
"In the report, each firearm takes up two lines. The code below splits the core table into two-line groups, and then parses out the fields, based on the number of characters in each field:"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"('PISTOL REVOLVER UNKWN/UNPUBLSHD MAKE UNKNOWN 38 FOUND _d__', '1721 Tag#:SJ3095-1 GO SJ 2012-122590518 WA-GR/GUN DESTRUCTION ')\n"
]
}
],
"source": [
"lines = core.split(\"\\n\")\n",
"line_groups = list(zip(lines[::2], lines[1::2]))\n",
"print(line_groups[0])"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"def parse_row(first_line, second_line):\n",
" return {\n",
" \"type\": first_line[:20].strip(),\n",
" \"item\": first_line[21:41].strip(),\n",
" \"make\": first_line[44:89].strip(),\n",
" \"model\": first_line[90:105].strip(),\n",
" \"calibre\": first_line[106:111].strip(),\n",
" \"status\": first_line[112:120].strip(),\n",
" \"flags\": first_line[124:129].strip(),\n",
" \"serial_number\": second_line[0:13].strip(),\n",
" \"report_tag_number\": second_line[21:41].strip(),\n",
" \"case_file_number\": second_line[44:64].strip(),\n",
" \"storage_location\": second_line[68:91].strip(),\n",
" }"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"parsed = [ parse_row(first_line, second_line) \n",
" for first_line, second_line in line_groups ]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Result\n",
"\n",
"Below, you can see the parsed data for the first two firearms in the report:"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"[{'type': 'PISTOL',\n",
" 'item': 'REVOLVER',\n",
" 'make': 'UNKWN/UNPUBLSHD MAKE',\n",
" 'model': 'UNKNOWN',\n",
" 'calibre': '38',\n",
" 'status': 'FOUND',\n",
" 'flags': '_d__',\n",
" 'serial_number': '1721',\n",
" 'report_tag_number': 'Tag#:SJ3095-1',\n",
" 'case_file_number': 'GO SJ 2012-1225905',\n",
" 'storage_location': 'WA-GR/GUN DESTRUCTION'},\n",
" {'type': 'SHOTGUN',\n",
" 'item': 'DOUBLE BARREL',\n",
" 'make': 'STEVEN/J STVNS ARMS',\n",
" 'model': '311 SERIES H',\n",
" 'calibre': '12GA',\n",
" 'status': 'FOUND',\n",
" 'flags': '_d__',\n",
" 'serial_number': 'REMOVED',\n",
" 'report_tag_number': 'Tag#:SJ3123-1',\n",
" 'case_file_number': 'GO SJ 2012-1226203',\n",
" 'storage_location': 'WA-GR/GUN DESTRUCTION'}]"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"parsed[:2]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Preview via `pandas.DataFrame`\n",
"\n",
"To make it a little easier to read, here's the full table, parsed and represented as a `pandas.DataFrame` (for ease of viewing):"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"tags": []
},
"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>type</th>\n",
" <th>item</th>\n",
" <th>make</th>\n",
" <th>model</th>\n",
" <th>calibre</th>\n",
" <th>status</th>\n",
" <th>flags</th>\n",
" <th>serial_number</th>\n",
" <th>report_tag_number</th>\n",
" <th>case_file_number</th>\n",
" <th>storage_location</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>PISTOL</td>\n",
" <td>REVOLVER</td>\n",
" <td>UNKWN/UNPUBLSHD MAKE</td>\n",
" <td>UNKNOWN</td>\n",
" <td>38</td>\n",
" <td>FOUND</td>\n",
" <td>_d__</td>\n",
" <td>1721</td>\n",
" <td>Tag#:SJ3095-1</td>\n",
" <td>GO SJ 2012-1225905</td>\n",
" <td>WA-GR/GUN DESTRUCTION</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>SHOTGUN</td>\n",
" <td>DOUBLE BARREL</td>\n",
" <td>STEVEN/J STVNS ARMS</td>\n",
" <td>311 SERIES H</td>\n",
" <td>12GA</td>\n",
" <td>FOUND</td>\n",
" <td>_d__</td>\n",
" <td>REMOVED</td>\n",
" <td>Tag#:SJ3123-1</td>\n",
" <td>GO SJ 2012-1226203</td>\n",
" <td>WA-GR/GUN DESTRUCTION</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>PISTOL</td>\n",
" <td>SEMI-AUTOMATIC</td>\n",
" <td>TAURUS FORJAS</td>\n",
" <td>PT40 PRO MIL'NU</td>\n",
" <td>40</td>\n",
" <td>FOUND</td>\n",
" <td>_d__</td>\n",
" <td>SZH77919</td>\n",
" <td>Tag#:SJ3360-1</td>\n",
" <td>GO SJ 2012-1226703</td>\n",
" <td>WA-GR/GUN DESTRUCTION/G</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>PISTOL</td>\n",
" <td>SEMI-AUTOMATIC</td>\n",
" <td>SMITH AND WESSON</td>\n",
" <td>39</td>\n",
" <td>9MM</td>\n",
" <td>FOUND</td>\n",
" <td>_d__</td>\n",
" <td>85517</td>\n",
" <td>Tag#:SJ3686-1</td>\n",
" <td>GO SJ 2012-1227410</td>\n",
" <td>WA-GR/GUN DESTRUCTION/G</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>PISTOL</td>\n",
" <td>SEMI-AUTOMATIC</td>\n",
" <td>HIGH POINT</td>\n",
" <td>JCP</td>\n",
" <td>40</td>\n",
" <td>FOUND</td>\n",
" <td>____</td>\n",
" <td>REMOVED</td>\n",
" <td>Tag#:SJ3724-1</td>\n",
" <td>GO SJ 2012-1227505</td>\n",
" <td>WA-GR/GUN DESTRUCTION/G</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>PISTOL</td>\n",
" <td>REVOLVER</td>\n",
" <td>COLT</td>\n",
" <td>DETECTIVE SPEC</td>\n",
" <td>38</td>\n",
" <td>FOUND</td>\n",
" <td>_d__</td>\n",
" <td>982982</td>\n",
" <td>Tag#:SJ4077-2</td>\n",
" <td>GO SJ 2012-1228406</td>\n",
" <td>WA-GR/GUN DESTRUCTION/Z</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>SHOTGUN</td>\n",
" <td>DOUBLE BARREL</td>\n",
" <td>MISS.VALLEY ARMS CO.</td>\n",
" <td>UNK</td>\n",
" <td>12GA</td>\n",
" <td>FOUND</td>\n",
" <td>_d__</td>\n",
" <td>279861</td>\n",
" <td>Tag#:SJ4117-1</td>\n",
" <td>GO SJ 2012-1228502</td>\n",
" <td>WA-GR/GUN DESTRUCTION</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>RIFLE</td>\n",
" <td>LEVER ACTION</td>\n",
" <td>SEARS ROEBUCK &amp; CO.</td>\n",
" <td>5</td>\n",
" <td>22</td>\n",
" <td>FOUND</td>\n",
" <td>_d__</td>\n",
" <td>63723</td>\n",
" <td>Tag#:SJ4172-1</td>\n",
" <td>GO SJ 2012-1228602</td>\n",
" <td>WA-GR/GUN DESTRUCTION</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>PISTOL</td>\n",
" <td>SEMI-AUTOMATIC</td>\n",
" <td>COLT</td>\n",
" <td>MATCH TARGET</td>\n",
" <td>.22</td>\n",
" <td>FOUND</td>\n",
" <td>_d__</td>\n",
" <td>142061S</td>\n",
" <td>Tag#:SJ4324-1</td>\n",
" <td>GO SJ 2012-1228902</td>\n",
" <td>WA-GR/GD-SCCCL</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>PISTOL</td>\n",
" <td>REVOLVER</td>\n",
" <td>SMITH AND WESSON</td>\n",
" <td>UNKNOWN</td>\n",
" <td>.22</td>\n",
" <td>FOUND</td>\n",
" <td>_d__</td>\n",
" <td>K22539</td>\n",
" <td>Tag#:SJ4324-2</td>\n",
" <td>GO SJ 2012-1228902</td>\n",
" <td>WA-GR/GUN DESTRUCTION</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>RIFLE</td>\n",
" <td>LEVER ACTION</td>\n",
" <td>STEVEN/J STVNS ARMS</td>\n",
" <td>CRACK SHOT 26</td>\n",
" <td>.22</td>\n",
" <td>FOUND</td>\n",
" <td>_d__</td>\n",
" <td>UNKNOWN</td>\n",
" <td>Tag#:SJ4324-3</td>\n",
" <td>GO SJ 2012-1228902</td>\n",
" <td>WA-GR/GUN DESTRUCTION</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>PISTOL</td>\n",
" <td>SEMI-AUTOMATIC</td>\n",
" <td>CARL WALTHER</td>\n",
" <td>PPK</td>\n",
" <td>7.65</td>\n",
" <td>FOUND</td>\n",
" <td>_d__</td>\n",
" <td>832229</td>\n",
" <td>Tag#:SJ4664-1</td>\n",
" <td>GO SJ 2012-1229602</td>\n",
" <td>WA-GR/GD-SCCCL</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" type item make model calibre \\\n",
"0 PISTOL REVOLVER UNKWN/UNPUBLSHD MAKE UNKNOWN 38 \n",
"1 SHOTGUN DOUBLE BARREL STEVEN/J STVNS ARMS 311 SERIES H 12GA \n",
"2 PISTOL SEMI-AUTOMATIC TAURUS FORJAS PT40 PRO MIL'NU 40 \n",
"3 PISTOL SEMI-AUTOMATIC SMITH AND WESSON 39 9MM \n",
"4 PISTOL SEMI-AUTOMATIC HIGH POINT JCP 40 \n",
"5 PISTOL REVOLVER COLT DETECTIVE SPEC 38 \n",
"6 SHOTGUN DOUBLE BARREL MISS.VALLEY ARMS CO. UNK 12GA \n",
"7 RIFLE LEVER ACTION SEARS ROEBUCK & CO. 5 22 \n",
"8 PISTOL SEMI-AUTOMATIC COLT MATCH TARGET .22 \n",
"9 PISTOL REVOLVER SMITH AND WESSON UNKNOWN .22 \n",
"10 RIFLE LEVER ACTION STEVEN/J STVNS ARMS CRACK SHOT 26 .22 \n",
"11 PISTOL SEMI-AUTOMATIC CARL WALTHER PPK 7.65 \n",
"\n",
" status flags serial_number report_tag_number case_file_number \\\n",
"0 FOUND _d__ 1721 Tag#:SJ3095-1 GO SJ 2012-1225905 \n",
"1 FOUND _d__ REMOVED Tag#:SJ3123-1 GO SJ 2012-1226203 \n",
"2 FOUND _d__ SZH77919 Tag#:SJ3360-1 GO SJ 2012-1226703 \n",
"3 FOUND _d__ 85517 Tag#:SJ3686-1 GO SJ 2012-1227410 \n",
"4 FOUND ____ REMOVED Tag#:SJ3724-1 GO SJ 2012-1227505 \n",
"5 FOUND _d__ 982982 Tag#:SJ4077-2 GO SJ 2012-1228406 \n",
"6 FOUND _d__ 279861 Tag#:SJ4117-1 GO SJ 2012-1228502 \n",
"7 FOUND _d__ 63723 Tag#:SJ4172-1 GO SJ 2012-1228602 \n",
"8 FOUND _d__ 142061S Tag#:SJ4324-1 GO SJ 2012-1228902 \n",
"9 FOUND _d__ K22539 Tag#:SJ4324-2 GO SJ 2012-1228902 \n",
"10 FOUND _d__ UNKNOWN Tag#:SJ4324-3 GO SJ 2012-1228902 \n",
"11 FOUND _d__ 832229 Tag#:SJ4664-1 GO SJ 2012-1229602 \n",
"\n",
" storage_location \n",
"0 WA-GR/GUN DESTRUCTION \n",
"1 WA-GR/GUN DESTRUCTION \n",
"2 WA-GR/GUN DESTRUCTION/G \n",
"3 WA-GR/GUN DESTRUCTION/G \n",
"4 WA-GR/GUN DESTRUCTION/G \n",
"5 WA-GR/GUN DESTRUCTION/Z \n",
"6 WA-GR/GUN DESTRUCTION \n",
"7 WA-GR/GUN DESTRUCTION \n",
"8 WA-GR/GD-SCCCL \n",
"9 WA-GR/GUN DESTRUCTION \n",
"10 WA-GR/GUN DESTRUCTION \n",
"11 WA-GR/GD-SCCCL "
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"columns = list(parsed[0].keys())\n",
"pd.DataFrame(parsed)[columns]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n",
"\n",
"---\n",
"\n",
"---"
]
}
],
"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": "3.12.4"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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