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PyQtGraph – Getting Font Metrics of the Image View

This article discusses how can we get font metrics of the image view object in PyQTGraph. In metal typesetting, a font has a particular size, weight and style of a typeface. Each font has a matched set of type and a typeface consisting of a range of fonts that shares an overall design. It can be set with the help of setFont method. Font metrics are the measurements of characters in a particular font, which allow you to evenly space and uniformly align lines of text.

PyQtGraph is a graphics and user interface Python library for functionalities commonly required in designing and science applications. Its provides fast, interactive graphics for displaying data (plots, video, etc.). 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 will be displayed. Displays histogram of image data with movable region defining the dark/light levels and editable gradient provides a color lookup table for reference.
 

For creating an image view ImageView() is used 

Syntax:

imv = pg.ImageView()

To get font metrics of the image view, fontMetrics() is used. It takes no arguments and returns a QFontMetrics object.

Syntax :
 

imv.fontMetrics()
 

Implementation:
 

Python3




# importing Qt widgets
from PyQt5.QtWidgets import *
 
# importing system
import sys
 
# importing numpy as np
import numpy as np
 
# importing pyqtgraph as pg
import pyqtgraph as pg
from PyQt5.QtGui import *
from PyQt5.QtCore import *
 
 
# Image View class
class ImageView(pg.ImageView):
 
    # constructor which inherit original
    # ImageView
    def __init__(self, *args, **kwargs):
        pg.ImageView.__init__(self, *args, **kwargs)
 
class Window(QMainWindow):
 
    def __init__(self):
        super().__init__()
 
        # setting title
        self.setWindowTitle("PyQtGraph")
 
        # setting geometry
        self.setGeometry(100, 100, 600, 500)
 
 
        # icon
        icon = QIcon("skin.png")
 
        # setting icon to the window
        self.setWindowIcon(icon)
 
        # calling method
        self.UiComponents()
 
        # showing all the widgets
        self.show()
 
        # setting fixed size of window
        #self.setFixedSize(QSize(600, 500))
 
    # method for components
    def UiComponents(self):
 
        # creating a widget object
        widget = QWidget()
 
        # creating a label
        label = QLabel("Geeksforneveropen Image View")
 
        # setting minimum width
        label.setMinimumWidth(130)
 
        # making label do word wrap
        label.setWordWrap(True)
 
        # setting configuration options
        pg.setConfigOptions(antialias=True)
 
        # creating image view  object
        imv = ImageView()
 
        # Create random 3D data set with noisy signals
        img = pg.gaussianFilter(np.random.normal(size=(200, 200)), (5, 5)) * 20 + 100
 
        # setting new axis to image
        img = img[np.newaxis, :, :]
 
        # decay data
        decay = np.exp(-np.linspace(0, 0.3, 100))[:, np.newaxis, np.newaxis]
 
        # random data
        data = np.random.normal(size=(100, 200, 200))
        data += img * decay
        data += 2
 
        # adding time-varying signal
        sig = np.zeros(data.shape[0])
        sig[30:] += np.exp(-np.linspace(1, 10, 70))
        sig[40:] += np.exp(-np.linspace(1, 10, 60))
        sig[70:] += np.exp(-np.linspace(1, 10, 30))
 
        sig = sig[:, np.newaxis, np.newaxis] * 3
        data[:, 50:60, 30:40] += sig
 
        # setting image to image view
        # Displaying the data and assign each frame a time value from 1.0 to 3.0
        imv.setImage(data, xvals=np.linspace(1., 3., data.shape[0]))
 
        ## Set a custom color map
        colors = [
            (0, 0, 0),
            (4, 5, 61),
            (84, 42, 55),
            (15, 87, 60),
            (208, 17, 141),
            (255, 255, 255)
        ]
 
        # color map
        cmap = pg.ColorMap(pos=np.linspace(0.0, 1.0, 6), color=colors)
 
        # setting color map to the image view
        imv.setColorMap(cmap)
 
        # Creating a grid layout
        layout = QGridLayout()
 
        # minimum width value of the label
        label.setFixedWidth(130)
 
        # setting this layout to the widget
        widget.setLayout(layout)
 
        # adding label in the layout
        layout.addWidget(label, 1, 0)
 
        # plot window goes on right side, spanning 3 rows
        layout.addWidget(imv, 0, 1, 3, 1)
 
        # setting this widget as central widget of the main window
        self.setCentralWidget(widget)
 
        # creating a font object
        font = QFont('Arial', 11)
 
        # making font italic and bold
        font.setItalic(True)
        font.setBold(True)
 
        # setting font to the image view
        imv.setFont(font)
 
        # getting font metrics of the image view
        value = imv.fontMetrics()
 
        # setting text to the label
        label.setText("Font Metrics : " + str(value))
 
 
 
# create pyqt5 app
App = QApplication(sys.argv)
 
# create the instance of our Window
window = Window()
 
# start the app
sys.exit(App.exec())


Output : 
 

 

Dominic Rubhabha-Wardslaus
Dominic Rubhabha-Wardslaushttp://wardslaus.com
infosec,malicious & dos attacks generator, boot rom exploit philanthropist , wild hacker , game developer,
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