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update: 1.0.15
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- 토지임야정보 API 추가
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@WooilJeong
WooilJeong committed Jan 26, 2023
1 parent 7ebd085 commit 84b3322
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8 changes: 5 additions & 3 deletions PublicDataReader/PublicDataPortal/molit.py
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Original file line number Diff line number Diff line change
Expand Up @@ -976,6 +976,7 @@ def translate_columns(self, df):
}
return df.rename(columns=rename_columns)


class LandForestLedger:
"""
국토교통부 토지임야 정보 조회 클래스
Expand All @@ -990,10 +991,11 @@ def __init__(self, service_key):

self.service_key = service_key
self.url = "http://apis.data.go.kr/1611000/nsdi/eios/LadfrlService/ladfrlList.xml"
self.columns = ["pnu", "ldCodeNm", "ldCode", "mnnmSlno", "regstrSeCode", "regstrSeCodeNm", "lndcgrCode", "lndcgrCodeNm", "lndpclAr", "posesnSeCode", "posesnSeCodeNm", "cnrsPsnCo", "ladFrtlSc", "ladFrtlScNm", "lastUpdtDt",]
self.columns = ["pnu", "ldCodeNm", "ldCode", "mnnmSlno", "regstrSeCode", "regstrSeCodeNm", "lndcgrCode",
"lndcgrCodeNm", "lndpclAr", "posesnSeCode", "posesnSeCodeNm", "cnrsPsnCo", "ladFrtlSc", "ladFrtlScNm", "lastUpdtDt",]

def get_data(self,
pnu_code,
def get_data(self,
pnu_code,
translate=True,
verbose=False,
wait_time=30,
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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -70,6 +70,8 @@ pip install PublicDataReader --upgrade
- 공공데이터포털
- [부동산 실거래가 조회하기](https://wooiljeong.github.io/python/public_data_reader_01/)
- [건축물대장 데이터 조회하기](https://wooiljeong.github.io/python/public_data_reader_03/)
- [주택인허가 데이터 조회하기](https://wooiljeong.github.io/python/pdr-housing-license/)
- [토지대장 및 임야대장 조회하기](https://wooiljeong.github.io/python/pdr-land-forest-ledger/)
- [상가업소 데이터 조회하기](https://wooiljeong.github.io/python/public_data_reader_02/)
- [한국자산관리공사 캠코 공매물건 조회하기](https://wooiljeong.github.io/python/pdr-kamco/)
- [사업자등록정보 진위확인 및 상태조회하기](https://wooiljeong.github.io/python/pdr-nts/)
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310 changes: 309 additions & 1 deletion assets/docs/portal/LandForestLedger.md
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Original file line number Diff line number Diff line change
Expand Up @@ -57,4 +57,312 @@ df = api.get_data(
pnu_code="4113511000105420000",
)
df.head()
```
```


<div>

<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>고유번호</th>
<th>법정동명</th>
<th>법정동코드</th>
<th>지번</th>
<th>대장구분코드</th>
<th>대장구분명</th>
<th>지목코드</th>
<th>지목명</th>
<th>면적(㎡)</th>
<th>소유구분코드</th>
<th>소유구분명</th>
<th>소유(공유)인수(명)</th>
<th>축척구분코드</th>
<th>축척구분명</th>
<th>데이터기준일자</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4113511000105420000</td>
<td>경기도 성남시 분당구 백현동</td>
<td>4113511000</td>
<td>542-0</td>
<td>1</td>
<td>토지대장</td>
<td>08</td>
<td>대</td>
<td>65893.5</td>
<td>01</td>
<td>개인</td>
<td>0</td>
<td>00</td>
<td>수치</td>
<td>2022-06-07</td>
</tr>
</tbody>
</table>
</div>


## (참고) 건축물대장에서 PNU코드 목록 조회

- 법정동코드 목록 확인

```python
import PublicDataReader as pdr
code_bdong = pdr.code_bdong()
code_bdong.loc[
(code_bdong['시도명']=='서울특별시') &
(code_bdong['말소일자'].isna()) &
(code_bdong['시군구명']=='서초구')
]
```


<div>

<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>시도코드</th>
<th>시도명</th>
<th>시군구코드</th>
<th>시군구명</th>
<th>법정동코드</th>
<th>읍면동명</th>
<th>동리명</th>
<th>생성일자</th>
<th>말소일자</th>
</tr>
</thead>
<tbody>
<tr>
<th>975</th>
<td>11</td>
<td>서울특별시</td>
<td>11650</td>
<td>서초구</td>
<td>1165000000</td>
<td>NaN</td>
<td>NaN</td>
<td>19880423</td>
<td>NaN</td>
</tr>
<tr>
<th>977</th>
<td>11</td>
<td>서울특별시</td>
<td>11650</td>
<td>서초구</td>
<td>1165010100</td>
<td>방배동</td>
<td>NaN</td>
<td>19890427</td>
<td>NaN</td>
</tr>
<tr>
<th>978</th>
<td>11</td>
<td>서울특별시</td>
<td>11650</td>
<td>서초구</td>
<td>1165010200</td>
<td>양재동</td>
<td>NaN</td>
<td>19920701</td>
<td>NaN</td>
</tr>
<tr>
<th>979</th>
<td>11</td>
<td>서울특별시</td>
<td>11650</td>
<td>서초구</td>
<td>1165010300</td>
<td>우면동</td>
<td>NaN</td>
<td>19920701</td>
<td>NaN</td>
</tr>
<tr>
<th>980</th>
<td>11</td>
<td>서울특별시</td>
<td>11650</td>
<td>서초구</td>
<td>1165010400</td>
<td>원지동</td>
<td>NaN</td>
<td>19920701</td>
<td>NaN</td>
</tr>
<tr>
<th>982</th>
<td>11</td>
<td>서울특별시</td>
<td>11650</td>
<td>서초구</td>
<td>1165010600</td>
<td>잠원동</td>
<td>NaN</td>
<td>19880423</td>
<td>NaN</td>
</tr>
<tr>
<th>983</th>
<td>11</td>
<td>서울특별시</td>
<td>11650</td>
<td>서초구</td>
<td>1165010700</td>
<td>반포동</td>
<td>NaN</td>
<td>19880423</td>
<td>NaN</td>
</tr>
<tr>
<th>984</th>
<td>11</td>
<td>서울특별시</td>
<td>11650</td>
<td>서초구</td>
<td>1165010800</td>
<td>서초동</td>
<td>NaN</td>
<td>19880423</td>
<td>NaN</td>
</tr>
<tr>
<th>985</th>
<td>11</td>
<td>서울특별시</td>
<td>11650</td>
<td>서초구</td>
<td>1165010900</td>
<td>내곡동</td>
<td>NaN</td>
<td>19880423</td>
<td>NaN</td>
</tr>
<tr>
<th>986</th>
<td>11</td>
<td>서울특별시</td>
<td>11650</td>
<td>서초구</td>
<td>1165011000</td>
<td>염곡동</td>
<td>NaN</td>
<td>19880423</td>
<td>NaN</td>
</tr>
<tr>
<th>987</th>
<td>11</td>
<td>서울특별시</td>
<td>11650</td>
<td>서초구</td>
<td>1165011100</td>
<td>신원동</td>
<td>NaN</td>
<td>19880423</td>
<td>NaN</td>
</tr>
</tbody>
</table>
</div>




- 건축물대장 조회 후 PNU코드 생성

```python
from PublicDataReader import BuildingLedger
bl = BuildingLedger(service_key)
buildings = bl.get_data("총괄표제부", sigungu_code="11650", bdong_code="10300")
transform_dict = {
"0": "1",
"1": "2",
"2": "3",
}
buildings['필지구분코드'] = buildings['대지구분코드'].replace(transform_dict)
buildings['PNU'] = buildings['시군구코드'] + buildings['법정동코드'] + buildings['필지구분코드'] + buildings['번'].str.zfill(4) + buildings['지'].str.zfill(4)
buildings['필지구분코드'].value_counts()
```

1 27
2 1
Name: 필지구분코드, dtype: int64


- 필지구분코드로 PNU코드 list_iterator 객체 생성

```python
it = iter(list(buildings.loc[buildings['필지구분코드']=='2']['PNU']))
```

- 토지임야정보 조회

```python
pnu_code = next(it)
print(pnu_code)
api.get_data(pnu_code=pnu_code)
```


1165010300200360000





<div>

<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>고유번호</th>
<th>법정동명</th>
<th>법정동코드</th>
<th>지번</th>
<th>대장구분코드</th>
<th>대장구분명</th>
<th>지목코드</th>
<th>지목명</th>
<th>면적(㎡)</th>
<th>소유구분코드</th>
<th>소유구분명</th>
<th>소유(공유)인수(명)</th>
<th>축척구분코드</th>
<th>축척구분명</th>
<th>데이터기준일자</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1165010300200360000</td>
<td>서울특별시 서초구 우면동</td>
<td>1165010300</td>
<td>36-0</td>
<td>2</td>
<td>임야대장</td>
<td>05</td>
<td>임야</td>
<td>14777</td>
<td>02</td>
<td>국유지</td>
<td>0</td>
<td>30</td>
<td>1:3000</td>
<td>2022-06-07</td>
</tr>
</tbody>
</table>
</div>
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