I'm trying to embed matplotlib in a PyQt4+Python 2.7 application so that I can visualize image (i.e. 2D) data in my UI. I'd like to make use of some of matplotlib's functionality such as colormaps, zooming, etc. I've found a few tutorials online but the closest thing that comes to my problem is the following SO question:
Embedding matplotlib in pyqt4 using imshow
Like the author, I'd also like to use "imshow(...)". By following a tutorial online I can embed matplotlib in my UI as a QWidget as follows:
from PyQt4.QtCore import *
from PyQt4.QtGui import *
import numpy as np
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
class matPlotLibImage(FigureCanvas):
def __init__(self):
self.fig = Figure()
self.axes = self.fig.add_subplot(111)
self.x = np.arange(0.0, 3.0, 0.01)
self.y = np.cos(2*np.pi*self.x)
self.axes.plot(self.x, self.y)
super(MatPlotLibImage, self).__init__(self.fig)
In my QDockWidget-derived class code I can then embed the above matplotlib widget via:
self.mainImage = MatPlotLibImage()
self.setWidget(self.mainImage)
This works and displays a simple plot as expected. Now, however, I'd like to display image data represented as numpy arrays. All the examples I'm seeing online are using variants of the following:
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
img = mpimg.imread("someImage.png")
imgplot = plt.imshow(img)
My question is: how do I combine the two approaches so that I can use 'imshow()' but embedded as I did for the simple plot? Thank you in advance.
Clarification: Strictly speaking, it's not crucial that I use 'imshow(whatever)', I'm just interested in displaying image data (in a numpy array) in my embedded matplotlib widget. However, imshow does have some useful things that I'd like to leverage.
