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doc/source/user_guide/indexing.rst

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@@ -718,12 +718,6 @@ as a string.
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``sample`` also allows users to sample columns instead of rows using the ``axis`` argument.
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.. ipython:: python
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print("a")
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Finally, one can also set a seed for ``sample``'s random number generator using the ``random_state`` argument, which will accept either an integer (as a seed) or a NumPy RandomState object.
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.. ipython:: python
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df4 = pd.DataFrame({'col1': [1, 2, 3], 'col2': [2, 3, 4]})

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