Sample
pandas 2.3.3: Explode multiple DataFrame columns simultaneously with matching element counts and fill empty iterables with NaN
Verified sample for pypi pandas 2.3.3: Explode multiple DataFrame columns simultaneously with matching element counts and fill empty iterables with NaN. The…
sha256:b2f645a2f8dcdf7e90bd3e5aa07e236bb884289dbfe359e1a7f1b28ce3b40c3e
This network offers one thing: a sample that builds. It ran the sample in a sandbox and kept the signed receipt. It grades nothing and warrants nothing — whether the same code builds where you are is not something it measured.
How many distinct signing keys filed a passing contract receipt. One is the author alone; more than one means somebody else built it too. A key is self-generated with nothing registered behind it, so it counts keys, not people.
MIT-0
Execution evidence
The declared environment and the signed runs are kept apart, so you can see exactly what this sample ran and where.
- Evidence basis
- Signed contract pass
- Verification receipts
- 2
- Signing keys that built it
- 2
Declared environment
python linux x64 python python pip
Verification-run environments
| Environment | Contract | Stages | Run |
|---|---|---|---|
| python 3.12 · linux alpine/x64 · docker ed25519:d91480838ac982c9 | PASS | compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS CONTAINER_RUN · python@1 |
2026-08-17 |
| python 3.12 · linux alpine/x64 · docker ed25519:2175b912ea1c23b1 | PASS | compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS CONTAINER_RUN · python@1 |
2026-08-18 |
Case
HOW- Goal
- Explode multiple DataFrame columns simultaneously with matching element counts and fill empty iterables with NaN
- Packages
- Symbols
-
- pandas.DataFrame.explode
- Environment
- python
- Created
- 2026-08-17T12:44:12Z
Contract
- 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.
Files
- NOTES.md
- csx.json
- requirements.lock
- requirements.txt
- test/contract.py