examples/hamilton_ui/components/iris_loader.py

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"""
Module to load iris data.
"""

import pandas as pd
from sklearn import datasets, utils

from hamilton.function_modifiers import config, extract_columns, load_from

RAW_COLUMN_NAMES = [
    "sepal_length_cm",
    "sepal_width_cm",
    "petal_length_cm",
    "petal_width_cm",
]


@config.when(case="api")
def iris_data_raw__api() -> utils.Bunch:
    return datasets.load_iris()


@extract_columns(*(RAW_COLUMN_NAMES + ["target_class"]))
@config.when(case="api")
def iris_df__api(iris_data_raw: utils.Bunch) -> pd.DataFrame:
    _df = pd.DataFrame(iris_data_raw.data, columns=RAW_COLUMN_NAMES)
    _df["target_class"] = [iris_data_raw.target_names[t] for t in iris_data_raw.target]
    return _df


@extract_columns(*(RAW_COLUMN_NAMES + ["target_class"]))
@load_from.parquet(path="iris.parquet")
@config.when(case="parquet")
def iris_df__parquet(iris_data_raw: pd.DataFrame) -> pd.DataFrame:
    return iris_data_raw