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doc/source/10min.rst

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@@ -645,7 +645,7 @@ the quarter end:
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ts.index = (prng.asfreq('M', 'e') + 1).asfreq('H', 's') + 9
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ts.head()
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Categorical
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Categoricals
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------------
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pandas can include categorical data in a ``DataFrame``. For full docs, see the

doc/source/advanced.rst

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@@ -387,7 +387,7 @@ Furthermore you can *set* the values using the following methods.
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df2.loc(axis=0)[:, :, ['C1', 'C3']] = -10
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df2
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You can use a right-hand-side of an align object as well.
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You can use a right-hand-side of an alignable object as well.
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.. ipython:: python
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Similar to NumPy ndarrays, pandas Index, Series, and DataFrame also provides
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the ``take`` method that retrieves elements along a given axis at the given
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indexes. The given indexes must be either a list or an ndarray of integer
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indexes. The given indices must be either a list or an ndarray of integer
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index positions. ``take`` will also accept negative integers as relative positions to the end of the object.
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.. ipython:: python
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df2.sort_index()
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Group by operations on the index will preserve the index nature as well.
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Groupby operations on the index will preserve the index nature as well.
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.. ipython:: python
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doc/source/cookbook.rst

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@@ -723,7 +723,7 @@ Rolling Apply to multiple columns where function returns a Scalar (Volume Weight
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s = pd.concat([ (pd.Series(vwap(df.iloc[i:i+window]), index=[df.index[i+window]])) for i in range(len(df)-window) ]);
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s.round(2)
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Time series
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Timeseries
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----------
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`Between times

doc/source/spelling_wordlist.txt

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sparsified
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df
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loc
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Timeseries
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ndarrays
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ndarray
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dtype

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