A small, modern toolkit of data-wrangling helpers for cognitive-science workflows.
Project description
CogZen
A small, modern toolkit of data-wrangling helpers for cognitive-science
workflows — a 2026 rewrite of the original cogzen package.
Importing cogzen is cheap: heavy libraries (pandas, scikit-learn,
IPython) are imported lazily, only when the helper that needs them is first
used.
Install
uv pip install cogzen # or: pip install cogzen
uv pip install "cogzen[dev]" # + pytest, ruff
Modules
All public submodules are named aux_*:
| Module | Highlights |
|---|---|
cogzen.aux_sys |
chdir(locations) (host/user-aware), pushdir context manager |
cogzen.aux_log |
Log0 — stdout + optional file logger |
cogzen.aux_str |
clean_str + mapping presets, is_ascii, now(), regexes |
cogzen.aux_pandas |
disp_df/repr_df, fix_column_names, split_dataframe, wine demo |
cogzen.aux_srsly |
jsonable, yamlstr |
cogzen.aux_bids |
dict_from_bids_filename |
cogzen.aux_data |
bundled example data via importlib.resources |
Quick start
import cogzen
from cogzen.aux_str import clean_str
from cogzen.aux_str.now import now
logZ = cogzen.Log0()
log0 = logZ.logger
log0.info(now())
log0.info(clean_str(" messy text\n\n "))
Package data, the modern way
The bundled Emacs logo is an example of how data ships and is read — no
__file__ path arithmetic, works even from inside a wheel/zip:
from cogzen import aux_data
png = aux_data.read_bytes(aux_data.EMACS_LOGO_PNG) # bytes
svg = aux_data.read_text(aux_data.EMACS_LOGO_SVG) # str
with aux_data.path(aux_data.EMACS_LOGO_SVG) as p: # real Path when needed
...
Develop
uv sync --extra dev
uv run pytest
uv run ruff check .
uv run ruff format --check .
License
GPL-3.0-or-later © cogsys.io
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