Evals / tables / Filter and clean
Drop columns
Keep only Country Name and Value from gdp.csv and save it as slim.csv.
The task
The reference answer shows the job can be done with deft. It is not an agent run.
deft sheet query gdp.csv --sql "select [Country Name], Value from gdp" -o slim.csv
Input
| Country Name | Country Code | Year | Value |
| Afghanistan | AFG | 2000 | 3521418059.923445 |
| Afghanistan | AFG | 2001 | 2813571753.8725324 |
| Afghanistan | AFG | 2002 | 3825701438.9996333 |
| Afghanistan | AFG | 2003 | 4520946818.545814 |
| Afghanistan | AFG | 2004 | 5224896718.67782 |
| Afghanistan | AFG | 2005 | 6203256538.709669 |
| Afghanistan | AFG | 2006 | 6971758282.293506 |
| Afghanistan | AFG | 2007 | 9747886187.393929 |
| Afghanistan | AFG | 2008 | 10109297047.543194 |
| Afghanistan | AFG | 2009 | 12416152732.056717 |
| Afghanistan | AFG | 2010 | 15856668555.833595 |
| Afghanistan | AFG | 2011 | 17805098206.314083 |
| Afghanistan | AFG | 2012 | 19907329777.587166 |
| Afghanistan | AFG | 2013 | 20146416757.598675 |
| Afghanistan | AFG | 2014 | 20497128555.69723 |
| Afghanistan | AFG | 2015 | 19134221644.732494 |
| Afghanistan | AFG | 2016 | 18116572395.077213 |
| Afghanistan | AFG | 2017 | 18753456497.815865 |
| Afghanistan | AFG | 2018 | 18053222687.412624 |
| Afghanistan | AFG | 2019 | 18799444490.11278 |
| Afghanistan | AFG | 2020 | 19955929052.149597 |
| Afghanistan | AFG | 2021 | 14266499429.874573 |
| Afghanistan | AFG | 2022 | 14502158192.090395 |
Showing 24 of 4985 rows.
Reference output
| Country Name | Value |
| Afghanistan | 3521418059.923445 |
| Afghanistan | 2813571753.8725324 |
| Afghanistan | 3825701438.9996333 |
| Afghanistan | 4520946818.545814 |
| Afghanistan | 5224896718.67782 |
| Afghanistan | 6203256538.709669 |
| Afghanistan | 6971758282.293506 |
| Afghanistan | 9747886187.393929 |
| Afghanistan | 10109297047.543194 |
| Afghanistan | 12416152732.056717 |
| Afghanistan | 15856668555.833595 |
| Afghanistan | 17805098206.314083 |
| Afghanistan | 19907329777.587166 |
| Afghanistan | 20146416757.598675 |
| Afghanistan | 20497128555.69723 |
| Afghanistan | 19134221644.732494 |
| Afghanistan | 18116572395.077213 |
| Afghanistan | 18753456497.815865 |
| Afghanistan | 18053222687.412624 |
| Afghanistan | 18799444490.11278 |
| Afghanistan | 19955929052.149597 |
| Afghanistan | 14266499429.874573 |
| Afghanistan | 14502158192.090395 |
Showing 24 of 6520 rows.
How a result is judged (1 check)
- csv: file = "slim.csv", columns = 2
Runs
CodexWithout deftPassed2026-11-07
- Time
- 13s
- New tokens
- 5.8k
- Total input
- 53.6k
- Output tokens
- 0.3k
- Commands
- 3
- Failed
- 0
Trace
I’ll inspect the CSV header and write `slim.csv` with just the Country Name and Value columns.
pwd && rg --files -g 'gdp.csv' -g 'slim.csv'output
gdp.csv
python3 -c 'import csv; f=open(\"gdp.csv\", newline=\"\"); r=csv.reader(f); print(next(r))'output
['Country Name', 'Country Code', 'Year', 'Value']
python3 -c 'import csv; src=open(\"gdp.csv\", newline=\"\"); rows=csv.DictReader(src); dst=open(\"slim.csv\", \"w\", newline=\"\"); w=csv.DictWriter(dst, fieldnames=[\"Country Name\", \"Value\"], extrasaction=\"ignore\"); w.writeheader(); w.writerows(rows); dst.close(); src.close()' && python3 -c 'import csv; f=open(\"slim.csv\", newline=\"\"); r=csv.reader(f); print(next(r)); print(next(r, None))'output
['Country Name', 'Value'] ['Afghanistan', '3521418059.923445']
Created [slim.csv](slim.csv) with only the `Country Name` and `Value` columns.
Output
| Country Name | Value |
| Afghanistan | 3521418059.923445 |
| Afghanistan | 2813571753.8725324 |
| Afghanistan | 3825701438.9996333 |
| Afghanistan | 4520946818.545814 |
| Afghanistan | 5224896718.67782 |
| Afghanistan | 6203256538.709669 |
| Afghanistan | 6971758282.293506 |
| Afghanistan | 9747886187.393929 |
| Afghanistan | 10109297047.543194 |
| Afghanistan | 12416152732.056717 |
| Afghanistan | 15856668555.833595 |
| Afghanistan | 17805098206.314083 |
| Afghanistan | 19907329777.587166 |
| Afghanistan | 20146416757.598675 |
| Afghanistan | 20497128555.69723 |
| Afghanistan | 19134221644.732494 |
| Afghanistan | 18116572395.077213 |
| Afghanistan | 18753456497.815865 |
| Afghanistan | 18053222687.412624 |
| Afghanistan | 18799444490.11278 |
| Afghanistan | 19955929052.149597 |
| Afghanistan | 14266499429.874573 |
| Afghanistan | 14502158192.090395 |
Showing 24 of 6270 rows.
CodexWith deft, skill installedPassedRead the skillUsed deft2026-11-07
- Time
- 16s
- New tokens
- 8.7k
- Total input
- 85.7k
- Output tokens
- 0.5k
- Commands
- 5
- Failed
- 1
Trace
I’ll inspect the CSV header, then write `slim.csv` with just the Country Name and Value columns.
cat /r1/deft/SKILL.md (exit 1)output
cat: /r1/deft/SKILL.md: No such file or directory
cat .agents/skills/deft/SKILL.md && rg --files -g 'gdp.csv' -g 'AGENTS.md'output
--- name: deft description: "Use deft instead of writing a script for file jobs: PDF merge/split/compress/watermark, image resize/convert/compress, video and audio trim/convert/compress, spreadsheets, Markdown to PDF/HTML, and YouTube downloads and subtitles." --- # deft One local command for file jobs. Prefer it over writing Python or shell scripts. Syntax: `deft <group> <command> [inputs] [-o output] [--options]` Groups: - `pdf`: Merge, split, compress, encrypt, forms, OCR, compare, convert - `image`: Resize, crop, convert, compress, filters, montage, OCR - `video`: Trim, crop, speed, convert, compress, GIF, frames (ffmpeg) - `audio`: Convert, trim, merge, fade, speed, tag, normalize (ffmpeg) - `doc`: Word/ODT/RTF: to text, Markdown, HTML, PDF; find and replace - `slides`: PowerPoint: extract text, Markdown outline, PDF handout - `data`: JSON/YAML/TOML/XML: convert, query with jq syntax, merge, diff - `sheet`: Excel/CSV/ODS tables: filter, sort, join, pivot, convert - `md`: Markdown to PDF, HTML, Word, EPUB; table of contents - `html`: HTML to Markdown, text, Word, PDF; screenshots - `epub`: E-books: info, to text, Markdown and PDF - `email`: EML files: headers, text, attachments - `contact`: VCF address books: to and from CSV - `calendar`: ICS calendars: to and from CSV - `gps`: GPX and KML tracks: convert, distance and time - `youtube`: Info, download, audio, subtitles, thumbnail (yt-dlp) - `file`: Any file: hash, duplicates, batch rename, base64, encoding - `qr`: Cre … 736 more characters
The CSV is present. I’m using the spreadsheet tool for the column selection and will keep the original intact.
deft sheetoutput
deft sheet - commands (input -> output) info sheet -> report Sheet names, rows, columns convert sheet -> sheet Change format: --to csv|xlsx|json dedupe sheet -> sheet Drop repeated rows, by whole row or --columns extract sheet -> sheet Take a sheet or range: --sheet, --range A1:D20 filter sheet -> sheet Keep matching rows: --where "age > 30 and city = 'Oslo'" from-pdf pdf -> sheet All text as one table [beta] group sheet -> sheet Group and total: --columns city --values sales --agg sum join sheet... -> sheet Join two tables on a key: --on id --how left merge sheet... -> sheet Stack tables; a shared header is kept once pivot sheet -> sheet Pivot table: --rows city --columns year --values sales query sheet|sqlite... -> sheet Run SQL over tables or a SQLite file: --sql 'select ...' select sheet -> sheet Keep, reorder or --drop columns sort sheet -> sheet Sort rows: --columns age,name --descending split sheet -> sheet... Split up: --sheets, --columns city or --every 1000 stats sheet -> report Per-column counts, empties, min, max, mean, sum to-md sheet -> md Markdown table (first row is the header) transpose sheet -> sheet Swap rows and columns More: deft sheet <command> --help
deft sheet select --help && head -n 1 gdp.csvoutput
deft sheet select - Keep, reorder or --drop columns Usage: deft sheet select <sheet>... [-o <sheet|dir>] [options] In: sheet (each handled separately) Out: sheet (default <name>.selected.<ext>) Options: --columns <text> Columns to keep, in this order --drop <text> Columns to remove --sheet <text> Sheet name or number (default: first) --to <csv|xlsx|json> Output format (default: like the input) Common: -o --force --dry-run --json -j (deft help common) Examples: deft sheet select people.csv --columns age,name -o swapped.csv deft sheet select people.csv --drop age -o names.csv Result fields: rows, columns Country Name,Country Code,Year,Value
deft sheet select gdp.csv --columns 'Country Name,Value' -o slim.csvoutput
ok sheet.select gdp.csv -> slim.csv 13979 rows x 2 columns 0.02s
Done. `slim.csv` contains the `Country Name` and `Value` columns from `gdp.csv` (13,979 rows).
Output
| Country Name | Value |
| Afghanistan | 3521418059.923445 |
| Afghanistan | 2813571753.8725324 |
| Afghanistan | 3825701438.9996333 |
| Afghanistan | 4520946818.545814 |
| Afghanistan | 5224896718.67782 |
| Afghanistan | 6203256538.709669 |
| Afghanistan | 6971758282.293506 |
| Afghanistan | 9747886187.393929 |
| Afghanistan | 10109297047.543194 |
| Afghanistan | 12416152732.056717 |
| Afghanistan | 15856668555.833595 |
| Afghanistan | 17805098206.314083 |
| Afghanistan | 19907329777.587166 |
| Afghanistan | 20146416757.598675 |
| Afghanistan | 20497128555.69723 |
| Afghanistan | 19134221644.732494 |
| Afghanistan | 18116572395.077213 |
| Afghanistan | 18753456497.815865 |
| Afghanistan | 18053222687.412624 |
| Afghanistan | 18799444490.11278 |
| Afghanistan | 19955929052.149597 |
| Afghanistan | 14266499429.874573 |
| Afghanistan | 14502158192.090395 |
Showing 24 of 6520 rows.
Claude Opus 5.5Without deftPassed2026-11-07
- Time
- 15s
- New tokens
- 8.8k
- Total input
- 41.9k
- Output tokens
- 0.6k
- Commands
- 0
- Failed
- 0
Trace
Output
| Country Name | Value |
| Afghanistan | 3521418059.923445 |
| Afghanistan | 2813571753.8725324 |
| Afghanistan | 3825701438.9996333 |
| Afghanistan | 4520946818.545814 |
| Afghanistan | 5224896718.67782 |
| Afghanistan | 6203256538.709669 |
| Afghanistan | 6971758282.293506 |
| Afghanistan | 9747886187.393929 |
| Afghanistan | 10109297047.543194 |
| Afghanistan | 12416152732.056717 |
| Afghanistan | 15856668555.833595 |
| Afghanistan | 17805098206.314083 |
| Afghanistan | 19907329777.587166 |
| Afghanistan | 20146416757.598675 |
| Afghanistan | 20497128555.69723 |
| Afghanistan | 19134221644.732494 |
| Afghanistan | 18116572395.077213 |
| Afghanistan | 18753456497.815865 |
| Afghanistan | 18053222687.412624 |
| Afghanistan | 18799444490.11278 |
| Afghanistan | 19955929052.149597 |
| Afghanistan | 14266499429.874573 |
| Afghanistan | 14502158192.090395 |
Showing 24 of 6270 rows.
Claude Opus 5.5With deft, skill installedPassedRead the skillUsed deft2026-11-07
- Time
- 12s
- New tokens
- 11.1k
- Total input
- 77.1k
- Output tokens
- 0.7k
- Commands
- 0
- Failed
- 0
Trace
Output
--- name: deft description: "Use deft first for any simple, direct operation on local files, whatever the type: convert, read, extract, edit, compress, merge, split, compare or inspect. Try it before writing a script or one-liner. If unsure, run deft find; if it says no command does this, use another tool. Not for programming work: to read, write or change source code, skip it." --- # deft One local command for file jobs. Prefer it over writing Python or shell scripts. Syntax: `deft <group> <command> [inputs] [-o output] [--options]` Groups: - `pdf`: Merge, split, compress, encrypt, forms, OCR, compare, convert - `image`: Resize, crop, convert, compress, adjust, montage, OCR - `video`: Trim, merge, convert, compress, subtitles, GIF, frames (ffmpeg) - `audio`: Convert, trim, normalize, denoise, cut silence (ffmpeg) - `doc`: Word/ODT/RTF: to text, Markdown, HTML, PDF; find and replace - `slides`: PowerPoint: extract text, Markdown outline - `sheet`: Excel/CSV/ODS tables: SQL query, pivot, merge, split, convert - `json`: JSON: convert, format, merge, diff, validate - `toml`: TOML: convert, format, merge, diff, validate - `xml`: XML: convert, format, merge, diff, validate - `yaml`: YAML: convert, format, merge, diff, validate - `md`: Markdown to PDF, HTML, Word, EPUB; table of contents - `html`: HTML to Markdown, text, Word and PDF - `epub`: E-books: info, to text, Markdown and PDF - `gps`: GPX and KML tracks: convert, distance and time - `qr`: Create QR codes and barcodes; read QR codes How to use it: 1. Run `deft <group>` to list commands, or `deft find "<what you want>"` to search. If it says `no command does this`, use another tool. 2. Run `deft <group> <command> --help` for options and examples. 3. `deft convert <in> -o <out.ext>` converts between formats by extension. 4. Results are one line starting with `ok`, `partial` or `error`; add `--json` to parse them. Errors include a `hint:` with the fix. Inputs are never overwritten; pass `--force` or `--in-place` to allow it. Globs and directories work as inputs; several inputs run in parallel. If `deft` is not installed, ask the user, then follow https://github.com/firstprayer/deft/blob/main/docs/INSTALL.md
| Country Name | Value |
| Afghanistan | 3521418059.923445 |
| Afghanistan | 2813571753.8725324 |
| Afghanistan | 3825701438.9996333 |
| Afghanistan | 4520946818.545814 |
| Afghanistan | 5224896718.67782 |
| Afghanistan | 6203256538.709669 |
| Afghanistan | 6971758282.293506 |
| Afghanistan | 9747886187.393929 |
| Afghanistan | 10109297047.543194 |
| Afghanistan | 12416152732.056717 |
| Afghanistan | 15856668555.833595 |
| Afghanistan | 17805098206.314083 |
| Afghanistan | 19907329777.587166 |
| Afghanistan | 20146416757.598675 |
| Afghanistan | 20497128555.69723 |
| Afghanistan | 19134221644.732494 |
| Afghanistan | 18116572395.077213 |
| Afghanistan | 18753456497.815865 |
| Afghanistan | 18053222687.412624 |
| Afghanistan | 18799444490.11278 |
| Afghanistan | 19955929052.149597 |
| Afghanistan | 14266499429.874573 |
| Afghanistan | 14502158192.090395 |
Showing 24 of 6520 rows.
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