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DOC: fix groupby.rst for building issues
closes pandas-dev#14861 closes pandas-dev#14863
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doc/source/groupby.rst

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@@ -631,11 +631,11 @@ the column B based on the groups of column A.
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.. ipython:: python
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df = pd.DataFrame({'A': [1] * 10 + [5] * 10,
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'B': np.arange(20)})
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df
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df.groupby('A').rolling(4).B.mean()
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df_re = pd.DataFrame({'A': [1] * 10 + [5] * 10,
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'B': np.arange(20)})
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df_re
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df_re.groupby('A').rolling(4).B.mean()
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The ``expanding()`` method will accumulate a given operation
@@ -644,7 +644,7 @@ group.
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.. ipython:: python
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df.groupby('A').expanding().sum()
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df_re.groupby('A').expanding().sum()
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Suppose you want to use the ``resample()`` method to get a daily
@@ -653,14 +653,14 @@ missing values with the ``ffill()`` method.
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.. ipython:: python
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df = pd.DataFrame({'date': pd.date_range(start='2016-01-01',
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periods=4,
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freq='W'),
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'group': [1, 1, 2, 2],
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'val': [5, 6, 7, 8]}).set_index('date')
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df
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df_re = pd.DataFrame({'date': pd.date_range(start='2016-01-01',
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periods=4,
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freq='W'),
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'group': [1, 1, 2, 2],
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'val': [5, 6, 7, 8]}).set_index('date')
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df_re
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df.groupby('group').resample('1D').ffill()
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df_re.groupby('group').resample('1D').ffill()
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.. _groupby.filter:
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