diff --git a/doc/thirdpartypackages/index.rst b/doc/thirdpartypackages/index.rst index 4325df672e60..6667e6c23dbc 100644 --- a/doc/thirdpartypackages/index.rst +++ b/doc/thirdpartypackages/index.rst @@ -264,6 +264,14 @@ gr visualisation applications, which can be used as a high-performance Matplotlib backend. +GUI integration +*************** + +wxmplot +======= +`WXMPlot `_ provides advanced wxPython +widgets for plotting and image display of numerical data based on Matplotlib. + Miscellaneous ************* diff --git a/examples/user_interfaces/README.wx b/examples/user_interfaces/README.wx deleted file mode 100644 index 2456ffd8fc33..000000000000 --- a/examples/user_interfaces/README.wx +++ /dev/null @@ -1,21 +0,0 @@ -You have a few different options available to you for embedding -matplotlib in a wxPython application - -1. Embed one of the wxPython backend widgets (which subclass wx.Panel) - directly and draw plots on it using matplotlib's object-oriented - API. This approach is demonstrated by some of the examples - embedding_in_wx*.py - -2. Embed the PlotPanel from Matt Newville's `MPlot' package and draw - plots on it using its plot() and oplot() methods. - - http://cars9.uchicago.edu/~newville/Python/MPlot/ - -3. Embed the PlotPanel from Ken McIvor wxmpl module and draw plots on - it using the matplotlib's object-oriented API. - - http://agni.phys.iit.edu/~kmcivor/wxmpl/ - -Each of these approaches has different benefits and drawbacks, so I -encourage you to evaluate each of them and select the one that best -meets your needs.