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DOC: fix groupby.rst for building issues 

closes #14861
closes #14863
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hesham.shabana@hotmail.com 2016-12-12 10:34:17 +02:00 committed by Jeff Reback
parent dfe82304a1
commit 96b171a659
1 changed files with 13 additions and 13 deletions
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26
doc/source/groupby.rst
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@ -631,11 +631,11 @@ the column B based on the groups of column A.
.. ipython:: python
df = pd.DataFrame({'A': [1] * 10 + [5] * 10,
'B': np.arange(20)})
df
df.groupby('A').rolling(4).B.mean()
df_re = pd.DataFrame({'A': [1] * 10 + [5] * 10,
'B': np.arange(20)})
df_re
df_re.groupby('A').rolling(4).B.mean()
The ``expanding()`` method will accumulate a given operation
@ -644,7 +644,7 @@ group.
.. ipython:: python
df.groupby('A').expanding().sum()
df_re.groupby('A').expanding().sum()
Suppose you want to use the ``resample()`` method to get a daily
@ -653,14 +653,14 @@ missing values with the ``ffill()`` method.
.. ipython:: python
df = pd.DataFrame({'date': pd.date_range(start='2016-01-01',
periods=4,
freq='W'),
'group': [1, 1, 2, 2],
'val': [5, 6, 7, 8]}).set_index('date')
df
df_re = pd.DataFrame({'date': pd.date_range(start='2016-01-01',
periods=4,
freq='W'),
'group': [1, 1, 2, 2],
'val': [5, 6, 7, 8]}).set_index('date')
df_re
df.groupby('group').resample('1D').ffill()
df_re.groupby('group').resample('1D').ffill()
.. _groupby.filter: