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Overview

grizz is a light library to ingest and transform data in polars DataFrame. grizz uses an object-oriented strategy, where ingestors and transformers are building blocks that can be combined together. grizz can be extend to add custom DataFrame ingestors and transformers. For example, the following example shows how to change the casting of some columns.

>>> import polars as pl
>>> from grizz.transformer import InplaceCast
>>> transformer = InplaceCast(columns=["col1", "col3"], dtype=pl.Int32)
>>> frame = pl.DataFrame(
...     {
...         "col1": [1, 2, 3, 4, 5],
...         "col2": ["1", "2", "3", "4", "5"],
...         "col3": ["1", "2", "3", "4", "5"],
...         "col4": ["a", "b", "c", "d", "e"],
...     }
... )
>>> out = transformer.transform(frame)
>>> out
shape: (5, 4)
┌──────┬──────┬──────┬──────┐
│ col1 ┆ col2 ┆ col3 ┆ col4 │
│ ---  ┆ ---  ┆ ---  ┆ ---  │
│ i32  ┆ str  ┆ i32  ┆ str  │
╞══════╪══════╪══════╪══════╡
│ 1    ┆ 1    ┆ 1    ┆ a    │
│ 2    ┆ 2    ┆ 2    ┆ b    │
│ 3    ┆ 3    ┆ 3    ┆ c    │
│ 4    ┆ 4    ┆ 4    ┆ d    │
│ 5    ┆ 5    ┆ 5    ┆ e    │
└──────┴──────┴──────┴──────┘

API stability

While grizz is in development stage, no API is guaranteed to be stable from one release to the next. In fact, it is very likely that the API will change multiple times before a stable 1.0.0 release. In practice, this means that upgrading grizz to a new version will possibly break any code that was using the old version of grizz.

License

grizz is licensed under BSD 3-Clause "New" or "Revised" license available in LICENSE file.