Matplotlib can be embedded in wxPython applications to provide high quality data visualization. There are two approaches to this, direct embedding and using an embedding library.
Direct embedding is where your put one of the wxPython backend widgets (which subclass wx.Panel) directly into your application and draw plots on it using matplotlib's object-oriented API. This approach is demonstrated by the embedding_in_wx*.py examples that come with matplotlib. Neither FigureCanvasWx nor FigureCanvasWxAgg provide any facilities for user interactions like displaying the coordinates under the mouse, so you'll have to implement such things yourself. The matplotlib example wxcursor_demo.py should help you get started.
An embedding library saves you a lot of time and effort by providing plotting widgets that already support user interactions and other bells and whistles. There are two such libraries that I am aware of:
Matt Newville's MPlot package supports drawing 2D line plots using pylab-style plot() and oplot() methods.
Ken McIvor's WxMpl module supports drawing all plot types using matplotlib's object-oriented API.
Each of these libraries has different benefits and drawbacks, so I encourage you to evaluate each of them and select the one that best meets your needs.
Learning the Object-Oriented API
If you're embedding matplotlib in a wxPython program, you're probably going to have to use Matplotlib's Object-Oriented API to at some point. Take heart, as it matches the pylab API closely and is easy to pick up. There are more nuts and bolts to deal with, but that's no problem to someone already programming with wxPython!
The matplotlib FAQ links to several resources for learning about the OO API. Once you've got your feet wet, reading the classdocs is the most helpful source of information. The matplotlib.axes.Axes class is where most of the plotting methods live, so it's a good place to start after you've conquored creating a Figure.
For your edification, a series of pylab examples have been translated to the OO API. They are available in a demonstration script that must be run from a command line. You may use any interactive matplotlib backend to display these plots.
A Simple Application
Here is a simple example of an application written in wx that embeds a Matplotlib_figure_in_a_wx_panel. No toolbars, mouse clicks or any of that, just a plot drawn in a panel. Some work has been put into it to make sure that the figure is only redrawn once during a resize. For plots with many points, the redrawing can take some time, so it is best to only redraw when the figure is released. Have a read of the code.