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get_df

laktory.dlt.get_df ยค

get_df(df_wrapper)

When executed in debug mode (ref dlt.is_debug), executes and returns the output dataframe of a function decorated with @dlt.table or @dlt.view. Returns None when is_debug() is False.

This method is not supported when a table using DLT views as input.

RETURNS DESCRIPTION
SparkDataFrame

Output dataframe

Examples:

from laktory import dlt

dlt.spark = spark


def define_table():
    @dlt.table(name="stock_prices")
    def get_df():
        df = spark.createDataFrame([[1.0, 1.1, 0.98]])
        return df

    return get_df


wrapper = define_table()
df = dlt.get_df(wrapper)
display(df)
Source code in laktory/dlt/__init__.py 
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def get_df(df_wrapper) -> SparkDataFrame:
    """
    When executed in debug mode (ref `dlt.is_debug`), executes and returns
    the output dataframe of a function decorated with `@dlt.table` or
    `@dlt.view`. Returns None when `is_debug()` is `False`.

    This method is not supported when a table using DLT views as input.

    Returns
    -------
    :
        Output dataframe

    Examples
    --------
    ```py
    from laktory import dlt

    dlt.spark = spark


    def define_table():
        @dlt.table(name="stock_prices")
        def get_df():
            df = spark.createDataFrame([[1.0, 1.1, 0.98]])
            return df

        return get_df


    wrapper = define_table()
    df = dlt.get_df(wrapper)
    display(df)
    ```
    """
    df = None
    if is_debug():
        if is_mocked():
            df = df_wrapper()
        else:
            df = df_wrapper().func()
    return df