Pandas
Pandas data manipulation with DataFrames. Use for data analysis.
Install
$ agentstack add skill-g1joshi-agent-skills-pandas ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-g1joshi-agent-skills-pandas) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Pandas
Pandas is the Excel of Python. v3.0 (2025/2026) enforces Copy-on-Write (CoW), finally fixing the SettingWithCopyWarning confusion.
When to Use
- Data Cleaning: Loading CSV/Excel/SQL and cleaning it.
- Time Series: Unmatched datetime indexing capabilities.
- Small/Medium Data: Features that fit in RAM.
Core Concepts
DataFrame / Series
2D tables and 1D arrays.
Copy-on-Write (CoW)
Views are always views, copies are always copies. Modifying a view triggers a copy only if necessary.
PyArrow Backend
Using Arrow memory format for speed and string handling (dtype="string[pyarrow]").
Best Practices (2025)
Do:
- Use PyArrow Strings:
pd.options.future.infer_string = True(Default in 3.0). - Use
.query(): For cleaner filtering syntax. - Migrate to CoW: Ensure your code doesn't rely on side-effects of views.
Don't:
- Don't iterate rows: Use vectorization (
df['a'] + df['b']).
References
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: G1Joshi
- Source: G1Joshi/Agent-Skills
- License: MIT
- Homepage: https://skills.sh/g1joshi/agent-skills
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.