Evals / tables / Format conversion

Large CSV to Excel

Convert gdp.csv to an Excel file called gdp.xlsx.

easysinglesmokedeft sheet convert

The task

The reference answer shows the job can be done with deft. It is not an agent run.

deft sheet convert gdp.csv -o gdp.xlsx

Input

gdp.csv 549.6 KB
Country NameCountry CodeYearValue
AfghanistanAFG20003521418059.923445
AfghanistanAFG20012813571753.8725324
AfghanistanAFG20023825701438.9996333
AfghanistanAFG20034520946818.545814
AfghanistanAFG20045224896718.67782
AfghanistanAFG20056203256538.709669
AfghanistanAFG20066971758282.293506
AfghanistanAFG20079747886187.393929
AfghanistanAFG200810109297047.543194
AfghanistanAFG200912416152732.056717
AfghanistanAFG201015856668555.833595
AfghanistanAFG201117805098206.314083
AfghanistanAFG201219907329777.587166
AfghanistanAFG201320146416757.598675
AfghanistanAFG201420497128555.69723
AfghanistanAFG201519134221644.732494
AfghanistanAFG201618116572395.077213
AfghanistanAFG201718753456497.815865
AfghanistanAFG201818053222687.412624
AfghanistanAFG201918799444490.11278
AfghanistanAFG202019955929052.149597
AfghanistanAFG202114266499429.874573
AfghanistanAFG202214502158192.090395

Showing 24 of 4985 rows.

Reference output

gdp.xlsx 371.2 KB
Rendered by macOS Quick Look, first page

Rendered by macOS Quick Look, first page

How a result is judged (1 check)
  • xlsx: file = "gdp.xlsx", rows = 13980, columns = 4, header = ["Country Name", "Country Code", "Year", "Value"]

Runs

CodexWithout deftPassed2026-11-07

Time
33s
New tokens
6.1k
Total input
69.0k
Output tokens
1.4k
Commands
4
Failed
2

Trace

  1. I’ll locate `gdp.csv` in the current directory and convert it to `gdp.xlsx`.

  2. pwd && rg --files -g 'gdp.csv' -g '"'!*.xlsx'"'
    output
    gdp.csv
  3. python3 -c \"import pandas as pd; pd.read_csv('gdp.csv').to_excel('gdp.xlsx', index=False)\" (exit 1)
    output
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/pandas/core/generic.py", line 2312, in to_excel
        formatter.write(
      File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/pandas/io/formats/excel.py", line 1003, in write
        writer = ExcelWriter(
                 ^^^^^^^^^^^^
      File "/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/site-packages/pandas/io/excel/_openpyxl.py", line 58, in __init__
        from openpyxl.workbook import Workbook
    ModuleNotFoundError: No module named 'openpyxl'
  4. Pandas is available, but its Excel writer dependency (`openpyxl`) is missing. I’m checking for another installed spreadsheet writer so I can finish the conversion without installing anything.

  5. python3 -c \"import importlib.util; print('xlsxwriter', bool(importlib.util.find_spec('xlsxwriter'))); print('openpyxl', bool(importlib.util.find_spec('openpyxl')))\"; command -v libreoffice; command -v soffice (exit 1)
    output
    xlsxwriter False
    openpyxl False
  6. python3 - <<'PY' import csv, zipfile, xml.sax.saxutils as xu from pathlib import Path rows = list(csv.reader(Path('gdp.csv').open(newline='', encoding='utf-8-sig'))) def col_name(n): out = '' while n: n, rem = divmod(n - 1, 26) out = chr(65 + rem) + out return out def cell_xml(value, ref): # Preserve CSV values exactly as text so IDs, leading zeros, and dates are not reinterpreted. return f'<c r=\"{ref}\" t=\"inlineStr\"><is><t xml:space=\"preserve\">{xu.escape(value)}</t></is></c>' sheet_rows = [] for ri, row in enumerate(rows, 1): cells = ''.join(cell_xml(value, f'{col_name(ci)}{ri}') for ci, value in enumerate(row, 1)) sheet_rows.append(f'<row r=\"{ri}\">{cells}</row>') sheet = '<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"yes\"?><worksheet xmlns=\"http://schemas.openxmlformats.org/spreadsheetml/2006/main\"><sheetData>' + ''.join(sheet_rows) + '</sheetData></worksheet>' workbook = '<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"yes\"?><workbook xmlns=\"http://schemas.openxmlformats.org/spreadsheetml/2006/main\" xmlns:r=\"http://schemas.openxmlformats.org/officeDocument/2006/relationships\"><sheets><sheet name=\"GDP\" sheetId=\"1\" r:id=\"rId1\"/></sheets></workbook>' rels = '<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"yes\"?><Relationships xmlns=\"http://schemas.openxmlformats.org/package/2006/relationships\"><Relationship Id=\"rId1\" Type=\"http://schemas.openxmlformats.org/officeDocument/2006/relationships/worksheet\" Target=\"worksheets/sheet1.xml\"/></Relationships>' root_rels = '<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"yes\"?><Relationships xmlns=\"http://schemas.openxmlformats.org/package/2006/relationships\"><Relationship Id=\"rId1\" Type=\"http://schemas.openxmlformats.org/o … 1068 more characters
    output
    Created gdp.xlsx with 13980 rows.
    -rw-r--r--@ 1 user  staff  413670 Nov  6 17:25 gdp.xlsx
  7. Created [gdp.xlsx](gdp.xlsx) in the current directory with 13,980 rows. CSV values were preserved as text.

Output

gdp.xlsx 404.0 KB
Rendered by macOS Quick Look, first page

Rendered by macOS Quick Look, first page

CodexWith deft, skill installedPassedRead the skillUsed deft2026-11-07

Time
14s
New tokens
9.8k
Total input
58.6k
Output tokens
0.4k
Commands
2
Failed
0

Trace

  1. I’ll check the available file tools, then convert `gdp.csv` in the current directory to `gdp.xlsx`.

  2. cat .agents/skills/deft/SKILL.md && rg --files -g 'gdp.csv' -g 'AGENTS.md' -g 'gdp.xlsx'
    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
  3. The `deft` spreadsheet converter is the instructed tool for this file job. I found `gdp.csv` and am converting it now.

  4. deft sheet convert gdp.csv -o gdp.xlsx
    output
    ok sheet.convert gdp.csv -> gdp.xlsx  13980 rows x 4 columns  0.06s
  5. Converted `gdp.csv` to [gdp.xlsx](gdp.xlsx) (13,980 rows × 4 columns).

Output

gdp.xlsx 371.2 KB
Rendered by macOS Quick Look, first page

Rendered by macOS Quick Look, first page

CodexWith deft, skill as AGENTS.mdPassed2026-11-05

Time
10s
New tokens
8.9k
Total input
45.4k
Output tokens
0.3k
Commands
2
Failed
0

Trace

  1. I’ll check the available CSV-to-Excel command, then convert `gdp.csv` in the current directory.

  2. deft sheet
    output
    deft sheet - commands (input -> output)
      info     sheet -> report    Sheet names, rows, columns
      convert  sheet -> sheet     Change format: --to csv|xlsx|json
      extract  sheet -> sheet     Take a sheet or range: --sheet, --range A1:D20
      merge    sheet... -> sheet  Stack tables; a shared header is kept once
      to-md    sheet -> md        Markdown table (first row is the header)
    More: deft sheet <command> --help
  3. deft sheet convert gdp.csv -o gdp.xlsx --to xlsx
    output
    ok sheet.convert gdp.csv -> gdp.xlsx  13980 rows x 4 columns  0.06s
  4. Converted `gdp.csv` to [gdp.xlsx](gdp.xlsx) — 13,980 rows and 4 columns.

Output

Its files were not kept in this run. The last line of the trace is its own report.

Claude Opus 5.5Without deftPassed2026-11-07

Time
21s
New tokens
12.4k
Total input
79.5k
Output tokens
1.2k
Commands
0
Failed
0

Trace

    Output

    gdp.xlsx 403.2 KB
    Rendered by macOS Quick Look, first page

    Rendered by macOS Quick Look, first page

    Claude Opus 5.5With deft, skill installedPassedRead the skillUsed deft2026-11-07

    Time
    6s
    New tokens
    9.2k
    Total input
    43.6k
    Output tokens
    0.3k
    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
      
      gdp.xlsx 371.2 KB
      Rendered by macOS Quick Look, first page

      Rendered by macOS Quick Look, first page

      Claude CodeWithout deftNot run yet

      Claude CodeWith deftNot run yet