Skip to content

DOC: One more cleanup on visualization.rst #7062

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
May 7, 2014
Merged

DOC: One more cleanup on visualization.rst #7062

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
27 changes: 14 additions & 13 deletions doc/source/visualization.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -118,11 +118,12 @@ The ``kind`` keyword argument of :meth:`~DataFrame.plot` accepts
a handful of values for plots other than the default Line plot.
These include:

* :ref:`'bar' <visualization.barplot>` or ``'barh'`` for bar plots,
* :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, and
* :ref:`'hexbin' <visualization.hexbin>` for hexagonal bin plots.
* :ref:`'bar' <visualization.barplot>` or :ref:`'barh' <visualization.barplot>` for bar plots
* :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:`'hexbin' <visualization.hexbin>` for hexagonal bin plots
* :ref:`'pie' <visualization.pie>` for pie plots

In addition to these ``kind`` s, there are the :ref:`DataFrame.hist() <visualization.hist>`,
and :ref:`DataFrame.boxplot() <visualization.box>` methods, which use a separate interface.
Expand All @@ -132,12 +133,12 @@ that take a :class:`Series` or :class:`DataFrame` as an argument. These
include

* :ref:`Scatter Matrix <visualization.scatter_matrix>`
* :ref:`Andrews Curves <visualization.andrews_curves>`,
* :ref:`Parallel Coordinates <visualization.parallel_coordinates>`,
* :ref:`Lag Plot <visualization.lag>`,
* :ref:`Autocorrelation Plot <visualization.autocorrelation>`,
* :ref:`Bootstrap Plot <visualization.bootstrap>`, and
* :ref:`RadViz <visualization.radviz>`.
* :ref:`Andrews Curves <visualization.andrews_curves>`
* :ref:`Parallel Coordinates <visualization.parallel_coordinates>`
* :ref:`Lag Plot <visualization.lag>`
* :ref:`Autocorrelation Plot <visualization.autocorrelation>`
* :ref:`Bootstrap Plot <visualization.bootstrap>`
* :ref:`RadViz <visualization.radviz>`

Plots may also be adorned with :ref:`errorbars <visualization.errorbars>`
or :ref:`tables <visualization.table>`.
Expand Down Expand Up @@ -713,8 +714,8 @@ layout and formatting of the returned plot:
For each kind of plot (e.g. `line`, `bar`, `scatter`) any additional arguments
keywords are passed alogn to the corresponding matplotlib function
(:meth:`ax.plot() <matplotlib.axes.Axes.plot>`,
:meth: `ax.bar() <matplotlib.axes.Axes.bar>`,
:meth: `ax.scatter() <matplotlib.axes.Axes.scatter>`). These can be used
:meth:`ax.bar() <matplotlib.axes.Axes.bar>`,
:meth:`ax.scatter() <matplotlib.axes.Axes.scatter>`). These can be used
to control additional styling, beyond what pandas provides.

Controlling the Legend
Expand Down