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DOC: Add scatter to visualization.rst #8069

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48 changes: 47 additions & 1 deletion doc/source/visualization.rst
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Expand Up @@ -126,7 +126,7 @@ These include:
* :ref:`'hist' <visualization.hist>` for histogram
* :ref:`'kde' <visualization.kde>` or ``'density'`` for density plots
* :ref:`'area' <visualization.area_plot>` for area plots
* :ref:`'scatter' <visualization.scatter_matrix>` for scatter plots
* :ref:`'scatter' <visualization.scatter>` for scatter plots
* :ref:`'hexbin' <visualization.hexbin>` for hexagonal bin plots
* :ref:`'pie' <visualization.pie>` for pie plots

Expand Down Expand Up @@ -427,6 +427,52 @@ To produce an unstacked plot, pass ``stacked=False``. Alpha value is set to 0.5
@savefig area_plot_unstacked.png
df.plot(kind='area', stacked=False);

.. _visualization.scatter:

Scatter Plot
~~~~~~~~~~~~

.. versionadded:: 0.13

You can create scatter plots with ``DataFrame.plot`` by passing ``kind='scatter'``.
Scatter plot requires numeric columns for x and y axis.
These can be specified by ``x`` and ``y`` keywords each.

.. ipython:: python
:suppress:

np.random.seed(123456)
plt.figure()

.. ipython:: python

df = DataFrame(rand(50, 4), columns=['a', 'b', 'c', 'd'])

@savefig scatter_plot.png
df.plot(kind='scatter', x='a', y='b');

To plot multiple column groups in a single axes, repeat ``plot`` method specifying target ``ax``.
It is recommended to specify ``color`` and ``label`` keywords to distinguish each groups.

.. ipython:: python

ax = df.plot(kind='scatter', x='a', y='b',
color='DarkBlue', label='Group 1');
@savefig scatter_plot_repeated.png
df.plot(kind='scatter', x='c', y='d',
color='DarkGreen', label='Group 2', ax=ax);

You can pass other keywords supported by matplotlib ``scatter``.
Below example shows a bubble chart using a dataframe column values as bubble size.

.. ipython:: python

@savefig scatter_plot_bubble.png
df.plot(kind='scatter', x='a', y='b', s=df['c']*200);

See the :meth:`scatter <matplotlib.axes.Axes.scatter>` method and the
`matplotlib scatter documenation <http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter>`__ for more.

.. _visualization.hexbin:

Hexagonal Bin Plot
Expand Down