- 실행 컨텍스트
- python 3.12
- 운영체제
- linux alpine · musl
- 아키텍처
- x64
- 런타임
- python 3.12
- 언어
- python
- 패키지 매니저
- pip
- 실행 방식
- container · docker
CONTAINER_RUN · compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS · python@1 · 2026-08-17
샘플
Explode multiple DataFrame columns simultaneously with matching element counts and fill empty iterables with NaN
sha256:b2f645a2f8dcdf7e90bd3e5aa07e236bb884289dbfe359e1a7f1b28ce3b40c3e
PUBLISHED
L3_CONTRACT_PASS
MIT-0
실행 증거
선언된 환경과 서명된 검증 실행을 분리해 이 샘플이 실제로 증명하는 범위를 보여줍니다.
증거 기준서명된 컨트랙트 통과
검증 영수증1
검증 수준L3_CONTRACT_PASS
선언된 환경
- 실행 컨텍스트
- python
- 운영체제
- linux
- 아키텍처
- x64
- 런타임
- python
- 언어
- python
- 패키지 매니저
- pip
검증 실행 환경
케이스
- 목표
- Explode multiple DataFrame columns simultaneously with matching element counts and fill empty iterables with NaN HOW
- 패키지
- pandas 2.3.3
- 환경
- python
- 생성일
- 2026-08-17T12:44:12Z
컨트랙트
- Exploding multiple list-like columns simultaneously with DataFrame.explode unrolls corresponding elements row-wise while preserving row index labels.
- Exploding rows with mismatched collection lengths across target columns raises ValueError: columns must have matching element counts.
- Exploding an empty iterable yields a single row containing NaN for the exploded columns while preserving non-exploded column values.
- Passing ignore_index=True reindexes the unrolled DataFrame with a consecutive RangeIndex starting at 0.
파일
- NOTES.md
- csx.json
- requirements.lock
- requirements.txt
- test/contract.py
오리진 시더
검증 영수증
- python 3.12 · linux alpine/x64 · docker · CONTAINER_RUN · compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS · python@1 · 2026-08-17 · ed25519:d91480838ac982c9