Reindex docs question / clarification
From the bottom of the reindex docs [here](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.reindex.html); relevant docs source [here](https://github.com/pandas-dev/pandas/blob/9d61ab5aae0dd4ca3f805275c6a8ebcaeef77d64/pandas/core/generic.py#L3605):

>The index entries that did not have a value in the original data frame (for example, ‘2009-12-29’) are by default filled with NaN. If desired, we can fill in the missing values using one of several options.
>
>For example, to backpropagate the last valid value to fill the NaN values, pass bfill as an argument to the method keyword.
>
>```python
>>>> df2.reindex(date_index2, method='bfill')
>```
>```
>            prices
>2009-12-29     100
>2009-12-30     100
>2009-12-31     100
>2010-01-01     100
>2010-01-02     101
>2010-01-03     NaN
>2010-01-04     100
>2010-01-05      89
>2010-01-06      88
>2010-01-07     NaN
>```
>
>Please note that the ``NaN`` value present in the original dataframe
        (at index value 2010-01-03) will not be filled by any of the
        value propagation schemes. This is because filling while reindexing
        does not look at dataframe values, but only compares the original and
        desired indexes. If you do want to fill in the ``NaN`` values present
        in the original dataframe, use the ``fillna()`` method.

#### Problem description

Couldn't find any duplicates during search (but hard to say it isn't out there somewhere).

This is a question as much as anything. It may be my ignorance, or perhaps an oversight in the docs. The last value in the output shows `2010-01-07    NaN`. It was not part of the original dataframe, so based on the note, it seems that it too should be auto-filled like the first 3 values were. I understand why `2010-01-03    NaN` was not populated, but it doesn't seem right for the last value. Unless there is something I'm missing.

https://pandas-docs.github.io/pandas-docs-travis/
^^
FYI, this link from the issue template is giving a 404
