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suffixes = ["left", "right"]
comp = df1.compare(df2, suffixes=suffixes)

result_suffixes = comp.columns.get_level_values(1).unique()
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can you use tm.assert_frame_equal here to assert the results

axis = self._get_axis_number(align_axis)

diff = concat([self, other], axis=axis, keys=keys)
diff = concat([self, other], axis=axis, keys=suffixes)
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these must be a tuple and non-None right? can you add a check and tests the cases (e.g. this is similar to what we checkin merge for example)

align_axis: Axis = 1,
keep_shape: bool = False,
keep_equal: bool = False,
suffixes: Suffixes = ("self", "other"),
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pls update doc string & add a versionadded.

if we have this in the docs anywhere else (i don't think so but pls check), maybe needs updating

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can you update the doc-string, needs a versionadded 1.4. tag

@jreback jreback added Enhancement Reshaping Concat, Merge/Join, Stack/Unstack, Explode labels Nov 14, 2021
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also add a note in other enhancements section for 1.4

align_axis: Axis = 1,
keep_shape: bool = False,
keep_equal: bool = False,
suffixes: Suffixes = ("self", "other"),
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can you update the doc-string, needs a versionadded 1.4. tag

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This pull request is stale because it has been open for thirty days with no activity. Please update or respond to this comment if you're still interested in working on this.

@github-actions github-actions bot added the Stale label Dec 26, 2021
@mroeschke
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Thanks for the pull request, but this pull request appears to have gone stale. If interested in continuing, please merge in main and address the comments and this PR can be reopened. Closing in the meantime

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ENH: add suffixes argument to DataFrame.compare

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