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DOC: update missing.rst with ref to groupby.rst
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doc/source/groupby.rst

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@@ -784,6 +784,8 @@ will be (silently) dropped. Thus, this does not pose any problems:
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df.groupby('A').std()
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.. _groupby.missing:
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NA and NaT group handling
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~~~~~~~~~~~~~~~~~~~~~~~~~
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doc/source/missing_data.rst

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@@ -158,10 +158,10 @@ The descriptive statistics and computational methods discussed in the
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<api.series.stats>` and :ref:`here <api.dataframe.stats>`) are all written to
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account for missing data. For example:
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* When summing data, NA (missing) values will be treated as zero
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* If the data are all NA, the result will be NA
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* Methods like **cumsum** and **cumprod** ignore NA values, but preserve them
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in the resulting arrays
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* When summing data, NA (missing) values will be treated as zero
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* If the data are all NA, the result will be NA
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* Methods like **cumsum** and **cumprod** ignore NA values, but preserve them
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in the resulting arrays
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.. ipython:: python
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@@ -176,7 +176,7 @@ NA values in GroupBy
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NA groups in GroupBy are automatically excluded. This behavior is consistent
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with R, for example.
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See the groupby section :ref:`here <groupby.missing>` for more information.
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Cleaning / filling missing data
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--------------------------------

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