PyQtGraph – Auto Levels of Image View
In this article, we will see how we can set automatic levels of image view in PyQTGaph. The 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. Automatic levels are setting the min/max intensity levels automatically to match the image data.
We can create an image view with the help of command given below:
# creating a pyqtgraph image view object imv = pg.ImageView()
In order to do this, we use the autoLevels() method with the image view object.
Syntax : imv.autoLevels()
Argument : It takes no argument
Return : It returns None
Below is the implementation: