grizz

library0.1.1pypypi✓ verified 84d ago

A lightweight library for preprocessing data with Polars. Version 0.1.1 supports Python 3.9-3.13 and dependencies include Polars, PyArrow, and ClickHouse. Releases are frequent, adding transformers and temporal features.

data database

pip install grizz

github ↗package ↗

INSTALL

IMPORT

SIG · GRIZZ

grizz

datapythonv0.1.1

Install

4.0s avg

Import

613ms

Disk

222MB

Pass rate

9/ 10

Env Coverage9 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.1.1 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

glibc

py 3.10

✓ —

✓ 4.6s

py 3.11

✓ —

✓ 3.9s

py 3.12

✓ —

✓ 3.8s

py 3.13

✓ —

✓ 3.3s

py 3.9

✕ build_error

✓ 4.3s

222MB installed

● package 222MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

CastTransformer

✓ from grizz.transformer import CastTransformer

✗ from grizz import CastTransformer

Transformer classes are in the 'transformer' submodule

InPlaceCastTransformer

✓ from grizz.transformer import InPlaceCastTransformer

✗ from grizz.transformer.cast import InPlaceCastTransformer

Use top-level transformer import

ToDatetimeTransformer

✓ from grizz.transformer import ToDatetimeTransformer

✗ from grizz.transformer.ts import ToDatetimeTransformer

Moved to core transformer module as of v0.0.3

Create a Polars DataFrame and apply a CastTransformer to cast column 'a' to Int64.

import polars as pl from grizz.transformer import CastTransformer df = pl.DataFrame({'a': ['1', '2'], 'b': ['3.0', '4.0']}) transformer = CastTransformer(columns=['a'], dtype=pl.Int64) result = transformer.fit_transform(df) print(result)

Debug

Known issues

breakingIn v0.0.5, the `period` parameter was renamed to `interval` in several transformers (e.g., CumSumTransformer, CumMeanTransformer). Code using `period` will break.

fix

Replace `period` with `interval` in transformer constructors.

affects: >=0.0.5

breakingThe `ToTimeTransformer` and `ToDatetimeTransformer` were moved from `grizz.transformer.ts` to `grizz.transformer` in v0.0.3. Old imports will fail.

fix

Update imports: `from grizz.transformer import ToTimeTransformer`.

affects: >=0.0.3

gotchaTransformer base class methods `transform` and `fit_transform` expect Polars DataFrames. Passing pandas DataFrames will raise a TypeError.

fix

Convert pandas DataFrame to Polars using `pl.from_pandas(df)` before passing.

affects: all

Errors

Common errors & fixes

ModuleNotFoundError: No module named 'grizz.transformer.ts'

The `ts` submodule was removed in v0.0.3 when temporal transformers were moved up.

fix

Use `from grizz.transformer import ToDatetimeTransformer` instead.

TypeError: 'columns' must be a list of strings

Passing a single string to `columns` instead of a list.

fix

Wrap the column name in a list: `columns=['col_name']`.

polars.exceptions.ComputeError: conversion from `str` to `i64` failed

Casting a non-numeric string to an integer type.

fix

Ensure all values in the column are numeric, or use `FloatCastTransformer` for floats.

Upgrade

Version history

0.1.1latest on PyPI · released Nov 8, 2024

Audit

Dependencies

polarsrequiredCore dependency for DataFrame operations

pyarrowrequiredRequired for Arrow integration

Agent activity

10 hits · last 30 days

node

Resources

githubhttps://github.com/durandtibo/grizz ↗

packagehttps://pypi.org/project/grizz/ ↗