PyQtGraph – Setting Color Map to Image View
In this article, we will see how we can set a color map to the image view object in PyQTGaph. PyQtGraph is a graphics and user interface library for Python that provides functionality commonly required in designing and science applications. Its primary goals are to provide fast, interactive graphics for displaying data (plots, video, etc.). Widget used for display and analysis of image data. Implements many features like displaying 2D and 3D image data. For 3D data, a z-axis slider is displayed allowing the user to select which frame is displayed. Displays histogram of image data with movable region defining the dark/light levels, editable gradient provides a color lookup table, frame slider may also be moved using left/right arrow keys as well as pgup, pgdn, home, and end. Color mapping is a function that maps the colors of one image to the colors of another image. A color mapping may be referred to as the algorithm that results in the mapping function or the algorithm that transforms the image colors.
We can create an image view with the help of the command given below.
# creating a pyqtgraph image view object imv = pg.ImageView()
In order to do this we use setColorMap method with the image view object
Syntax : imv.setColorMap(cmap)
Argument : It takes ColorMap object as argument
Return : It returns None
Below is the implementation.
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