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final clean up
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pandas/core/frame.py

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@@ -197,7 +197,7 @@
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"right_only" for observations whose merge key only appears in 'right'
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DataFrame, and "both" if the observation's merge key is found in both.
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validate : str, default None
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validate : str, optional
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If specified, checks if merge is of specified type.
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* "one_to_one" or "1:1": check if merge keys are unique in both
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Returns
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-------
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df: DataFrame
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DataFrame
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A DataFrame of the two merged objects.
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Notes
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--------
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>>> df1 = pd.DataFrame({'lkey': ['foo', 'bar', 'baz', 'foo'],
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... 'value': [1, 2, 3, 5]})
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... 'value': [1, 2, 3, 5]})
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>>> df2 = pd.DataFrame({'rkey': ['foo', 'bar', 'baz', 'foo'],
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... 'value': [5, 6, 7, 8]})
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... 'value': [5, 6, 7, 8]})
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>>> df1
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lkey value
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0 foo 1

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