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DOC: Change code-block to ipython in r_interface.rst #23906

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Change code-block to ipython in r_interface.rst
FHaase Nov 25, 2018
e0613b7
Review of @datapythonista
FHaase Nov 26, 2018
9a2d98f
Revert "Review of @datapythonista"
FHaase Nov 26, 2018
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38 changes: 24 additions & 14 deletions doc/source/r_interface.rst
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Expand Up @@ -33,22 +33,27 @@ See also the documentation of the `rpy2 <http://rpy2.bitbucket.org/>`__ project:

In the remainder of this page, a few examples of explicit conversion is given. The pandas conversion of rpy2 needs first to be activated:

.. code-block:: python
.. ipython::
:verbatim:

>>> from rpy2.robjects import pandas2ri # doctest: +SKIP
>>> pandas2ri.activate() # doctest: +SKIP
In [1]: from rpy2.robjects import pandas2ri
...: pandas2ri.activate()

Transferring R data sets into Python
------------------------------------

Once the pandas conversion is activated (``pandas2ri.activate()``), many conversions
of R to pandas objects will be done automatically. For example, to obtain the 'iris' dataset as a pandas DataFrame:

.. code-block:: python
.. ipython::
:verbatim:

>>> from rpy2.robjects import r # doctest: +SKIP
>>> r.data('iris') # doctest: +SKIP
>>> r['iris'].head() # doctest: +SKIP
In [2]: from rpy2.robjects import r

In [3]: r.data('iris')

In [4]: r['iris'].head()
Out[4]:
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
0 5.1 3.5 1.4 0.2 setosa
1 4.9 3.0 1.4 0.2 setosa
Expand All @@ -66,14 +71,19 @@ Converting DataFrames into R objects
The ``pandas2ri.py2ri`` function support the reverse operation to convert
DataFrames into the equivalent R object (that is, **data.frame**):

.. code-block:: python
.. ipython::
:verbatim:

In [5]: df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]},
...: index=["one", "two", "three"])

In [6]: r_dataframe = pandas2ri.py2ri(df)

In [7]: print(type(r_dataframe))
Out[7]: <class 'rpy2.robjects.vectors.DataFrame'>

>>> df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]},
... index=["one", "two", "three"]) # doctest: +SKIP
>>> r_dataframe = pandas2ri.py2ri(df) # doctest: +SKIP
>>> print(type(r_dataframe)) # doctest: +SKIP
<class 'rpy2.robjects.vectors.DataFrame'>
>>> print(r_dataframe) # doctest: +SKIP
In [8]: print(r_dataframe)
Out[8]:
A B C
one 1 4 7
two 2 5 8
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