Using a GUI

All plots in GeophPy are actually made using Matplotlib.

To embed Matplotlib’s plots in your own GUI, you have to select the proper backend:

>>> import matplotlib
>>> #for Qt4 and Pyside
>>> matplotlib.use('Qt4Agg')

>>> #for Qt5 and Pyside2
>>> matplotlib.use('Qt5Agg')

>>> #for Tkinter
>>> matplotlib.use('TkAgg')

As specified in the SciPy Cookbook on PySide and Matplotlib, “in case of problems for PySide, try to change the rcParam entry “backend.qt4” to “PySide” (e.g. by in the matplotlibrc file):

>>> matplotlib.rcParams['backend.qt4']='PySide'

Warning

rcParams has been depreciated in recent matplotlib versions

Note

  • in Windows environment, this file matplotlibrc is in the “C:\PythonXY\Lib\site-packages\matplotlib\mpl-data” directory.

  • in Linux environment, it is in the “/etc” directory.

You can also create widgets to embed Matplotlib’s plot : see Embedding Matplotlib in Qt and Embedding Matplotlib in Tk for complete examples.

You can also plot data in a windows with several color maps:

>>> from geophpy.dataset import *
>>>                 # to get the list of available color maps
>>> list = colormap_getlist()
>>> first = True                            # first plot
>>> fig = None                              # no previous figure
>>> cmap = None                             # no previous color map
>>> success, dataset = DataSet.from_file("DE11.dat", delimiter=' ',
    z_colnum=5)
>>> if (success == True):                   # if file opened
>>>                 # for each color map name in the list
>>>    for colormapname in list :
>>>        fig, cmap = dataset.plot('2D-SURFACE', 'gist_rainbow',
           dpi=600, axisdisplay=True, cmapdisplay=True, cmmin=-10,
           cmmax=10)
>>>        if (first == True):              # if first plot
>>>           fig.show()                    # displays figure windows
>>>           first = False                 # one time only
>>>                 # updates the plot in the figure windows
>>>        p.draw()
>>>                 # removes it to display the next
>>>        cmap.remove()
>>>                 # waits 3 seconds before display the plot
>>>                 # with the next color map
>>>        time.sleep(3)