patito.Model.from_row

classmethod Model.from_row(row, validate=True)

Represent a single data frame row as a Patito model.

Parameters

• row (Union[DataFrame, DataFrame]) – A dataframe, either polars and pandas, consisting of a single row.

• validate (bool) – If False, skip pydantic validation of the given row data.

Returns

A patito model representing the given row data.

Return type

Model

Raises

TypeError – If the given type is neither a pandas or polars DataFrame.

Example

>>> import patito as pt
>>> import polars as pl

>>> class Product(pt.Model):
...     product_id: int
...     name: str
...     price: float
...

>>> df = pl.DataFrame(
...     [["1", "product name", "1.22"]],
...     columns=["product_id", "name", "price"],
... )
>>> Product.from_row(df)
Product(product_id=1, name='product name', price=1.22)
>>> Product.from_row(df, validate=False)
Product(product_id='1', name='product name', price='1.22')