pyrecords
Read records (list[dict]) from Excel or JSON, then order, filter and group them. Extracted
from templify so other CLIs can share it.
uv add pyrecords
from pathlib import Path
from pyrecords import OrderByKey, filter_data, get_compiler, group_by_data, order_by_data, readers
data = readers["xlsx"](Path("people.xlsx")) # first row = column names
data = order_by_data(data, [OrderByKey("city"), OrderByKey("-age")]) # "-" = descending
data = filter_data(data, get_compiler(), {"name": "int__gt", "args": ["age", "30"]})
groups = group_by_data(data, ["city"]) # [{"city": "Homs", "items": [...]}, ...]
| Module | What it does |
|---|---|
readers |
readers (xlsx, json → list of records) and object_readers (json → one record), picked by extension |
transformers |
order_by_data (via pyordering; empty values last), filter_data, group_by_data |
filter_rules |
rules: a pyspecification registry of int__gt, string__icontains, date__ge, ... and get_compiler() for all / any filter schemas |
Add a reader for another extension:
@readers.reader("csv")
def read_csv(filepath: Path) -> Data: ...
1 maintainer
Metadata
1 maintainer
Release files for pyrecords 0.2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyrecords-0.2.0.tar.gz | 20.2 kB | Without provenance | Details for pyrecords-0.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pyrecords-0.2.0-py3-none-any.whl | Python 3 | none | any | Details for pyrecords-0.2.0-py3-none-any.whl |
Total release size: 40.4 kB
Release files / pyrecords-0.2.0.tar.gz
| Download URL | pyrecords-0.2.0.tar.gz |
|---|---|
| Size | 20.2 kB |
| Tags | Source |
|
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Release files / pyrecords-0.2.0-py3-none-any.whl
| Download URL | pyrecords-0.2.0-py3-none-any.whl |
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| Size | 20.2 kB |
| Tags | Python 3 |
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