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Docs: Categorical docs fixups. #7783

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Jul 18, 2014
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Docs: Categorical docs fixups. #7783

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12 changes: 6 additions & 6 deletions doc/source/categorical.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -104,7 +104,7 @@ By using some special functions:

.. note::

I contrast to R's `factor` function, there is currently no way to assign/change labels at
In contrast to R's `factor` function, there is currently no way to assign/change labels at
creation time. Use `levels` to change the levels after creation time.

To get back to the original Series or `numpy` array, use ``Series.astype(original_dtype)`` or
Expand Down Expand Up @@ -397,7 +397,7 @@ that only values already in the levels can be assigned.
Getting
~~~~~~~

If the slicing operation returns either a `DataFrame` or a a column of type `Series`,
If the slicing operation returns either a `DataFrame` or a column of type `Series`,
the ``category`` dtype is preserved.

.. ipython:: python
Expand Down Expand Up @@ -509,7 +509,7 @@ The same applies to ``df.append(df)``.
Getting Data In/Out
-------------------

Writing data (`Series`, `Frames`) to a HDF store and reading it in entirety works. Querying the hdf
Writing data (`Series`, `Frames`) to a HDF store and reading it in entirety works. Querying the HDF
store does not yet work.

.. ipython:: python
Expand Down Expand Up @@ -539,8 +539,8 @@ store does not yet work.
pass


Writing to a csv file will convert the data, effectively removing any information about the
`Categorical` (levels and ordering). So if you read back the csv file you have to convert the
Writing to a CSV file will convert the data, effectively removing any information about the
`Categorical` (levels and ordering). So if you read back the CSV file you have to convert the
relevant columns back to `category` and assign the right levels and level ordering.

.. ipython:: python
Expand Down Expand Up @@ -756,4 +756,4 @@ Future compatibility
~~~~~~~~~~~~~~~~~~~~

As `Categorical` is not a native `numpy` dtype, the implementation details of
`Series.cat` can change if such a `numpy` dtype is implemented.
`Series.cat` can change if such a `numpy` dtype is implemented.