Change dynamically the contents of a matplotlib plot

Question

I while ago, I was comparing the output of two functions using python and matplotlib. The result was as good as simple, since plotting with matplotlib is quite easy: I just

Answer 1

I really like using traits. If you follow the tutorial Writing a graphical application for scientific programming , you should be able to do what you want. The tutorial shows how to interact with a matplotlib graph using graphical user interface.

Answer 2

Well I managed to do it with an event handler for mouse clicks. I will change it for something more useful, but I post my solution anyway.

import matplotlib.pyplot as plt

figure = plt.figure()
# plotting
plt.plot([1,2,3],[10,20,30],'bo-')
plt.grid()
plt.legend()

def on_press(event):
    print 'you pressed', event.button, event.xdata, event.ydata
    event.canvas.figure.clear()
    # select new curves to plot, in this example [1,2,3] [0,0,0]
    event.canvas.figure.gca().plot([1,2,3],[0,0,0], 'ro-')
    event.canvas.figure.gca().grid()
    event.canvas.figure.gca().legend()
    event.canvas.draw()


figure.canvas.mpl_connect('button_press_event', on_press)

Answer 3

Sounds like you want to embed matplotlib in an application. There are some resources available for that:

• user interface examples
• Embedding in WX