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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 #100

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4 changes: 2 additions & 2 deletions chispa/dataframe_comparer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@ def are_dfs_equal(df1, df2):


def assert_approx_df_equality(df1, df2, precision, ignore_nullable=False, transforms=None, allow_nan_equality=False,
ignore_column_order=False, ignore_row_order=False, formats=DefaultFormats()):
ignore_column_order=False, ignore_row_order=False, ignore_metadata=False, formats=DefaultFormats()):
if transforms is None:
transforms = []
if ignore_column_order:
Expand All @@ -47,7 +47,7 @@ def assert_approx_df_equality(df1, df2, precision, ignore_nullable=False, transf
transforms.append(lambda df: df.sort(df.columns))
df1 = reduce(lambda acc, fn: fn(acc), transforms, df1)
df2 = reduce(lambda acc, fn: fn(acc), transforms, df2)
assert_schema_equality(df1.schema, df2.schema, ignore_nullable)
assert_schema_equality(df1.schema, df2.schema, ignore_nullable=ignore_nullable, ignore_metadata=ignore_metadata)
if precision != 0:
assert_generic_rows_equality(df1.collect(), df2.collect(), are_rows_approx_equal, [precision, allow_nan_equality], formats)
elif allow_nan_equality:
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