示例
Explode multiple DataFrame columns simultaneously with matching element counts and fill empty iterables with NaN
sha256:b2f645a2f8dcdf7e90bd3e5aa07e236bb884289dbfe359e1a7f1b28ce3b40c3e
PUBLISHED
L3_CONTRACT_PASS
MIT-0
执行证据
分开显示声明环境和签名验证运行,明确样本的证明范围。
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验证回执1
验证级别L3_CONTRACT_PASS
声明的环境
- 执行上下文
- python
- 操作系统
- linux
- 架构
- x64
- 运行时
- python
- 语言
- python
- 包管理器
- pip
验证运行环境
- 执行上下文
- python 3.12
- 操作系统
- linux alpine · musl
- 架构
- x64
- 运行时
- python 3.12
- 语言
- python
- 包管理器
- pip
- 执行方式
- container · docker
CONTAINER_RUN · compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS · python@1 · 2026-08-17
案例
- 目标
- Explode multiple DataFrame columns simultaneously with matching element counts and fill empty iterables with NaN HOW
- 包
-
pandas 2.3.3
- 环境
- python
- 创建时间
- 2026-08-17T12:44:12Z
契约
- 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.
文件
- NOTES.md
- csx.json
- requirements.lock
- requirements.txt
- test/contract.py
下载源代码构件 (tar.gz)
原始种子者
csx-seed
验证回执
- python 3.12 · linux alpine/x64 · docker · CONTAINER_RUN · compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS · python@1 · 2026-08-17 · ed25519:d91480838ac982c9