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Adds ignore_metadata option to assert_approx_df_equality #100

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Adds ignore_metadata option to assert_approx_df_equality function, to avoid some wrong dataframe comparisons.

For example, when I have two dataframes with this schemas:

root
|-- FORMA_ID: decimal(38,0) (nullable = true)
|-- START_DATE: timestamp (nullable = true)
|-- TYPE: string (nullable = true)
|-- AMOUNT: decimal(38,10) (nullable = true)
|-- datalake_ingestion_timestamp: timestamp (nullable = false)

root
|-- FORMA_ID: decimal(38,0) (nullable = true)
|-- START_DATE: timestamp (nullable = true)
|-- TYPE: string (nullable = true)
|-- AMOUNT: decimal(38,10) (nullable = true)
|-- datalake_ingestion_timestamp: timestamp (nullable = true)

And I perform an approx comparison as:
assert_approx_df_equality(df, expected_df, ignore_nullable=True, precision=1e-8)

Currently I get an error regarding nullable, despite ignore_nullable option. By passing ignore_metadata option the test is success

Adds ignore_metadata option to assert_approx_df_equality function, to avoid some wrong dataframe comparisons
@donielix donielix changed the title Update dataframe_comparer.py Adds ignore_metadata option to assert_approx_df_equality May 30, 2024
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