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Removed duplicated description of cumsum and cumprod methods (#58902)
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doc/source/user_guide/missing_data.rst

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@@ -337,10 +337,8 @@ When taking the product, NA values or empty data will be treated as 1.
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pd.Series([], dtype="float64").prod()
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Cumulative methods like :meth:`~DataFrame.cumsum` and :meth:`~DataFrame.cumprod`
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ignore NA values by default preserve them in the result. This behavior can be changed
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with ``skipna``
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* Cumulative methods like :meth:`~DataFrame.cumsum` and :meth:`~DataFrame.cumprod` ignore NA values by default, but preserve them in the resulting arrays. To override this behaviour and include NA values, use ``skipna=False``.
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ignore NA values by default, but preserve them in the resulting array. To override
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this behaviour and include NA values in the calculation, use ``skipna=False``.
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.. ipython:: python

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