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Minor fixes to time series doc.
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doc/source/timeseries.rst

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@@ -140,7 +140,7 @@ to create timestamp indexes.
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index = bdate_range('2012-1-1', periods=250)
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index
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Convenience functions like ``date_range`` and ``bdate_range`` utilizes a
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Convenience functions like ``date_range`` and ``bdate_range`` utilize a
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variety of frequency aliases. The default frequency for ``date_range`` is a
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**calendar day** while the default for ``bdate_range`` is a **business day**
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@@ -156,7 +156,7 @@ variety of frequency aliases. The default frequency for ``date_range`` is a
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rng
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``date_range`` and ``bdate_range`` makes it easy to generate a range of dates
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using various combinations of its parameters like ``start``, ``end``,
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using various combinations of parameters like ``start``, ``end``,
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``periods``, and ``freq``:
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.. ipython:: python
@@ -586,7 +586,7 @@ different parameters to control the frequency conversion and resampling
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operation.
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The ``how`` parameter can be a function name or numpy array function that takes
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and array and produces an aggregated values:
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an array and produces aggregated values:
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.. ipython:: python
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