The PyQtGraph module 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.
Basic analysis features includes:
1. ROI and embedded plot for measuring image values across frames
2. Image normalization / background subtraction
We can create an image view with the help of command given below:
# creating a pyqtgraph image view object img = pg.ImageView()
Step-by-step Approach:
- Import pyqtgraph, pyqt5 and numpy modules.
- Create Main window class.
- Create an image view object.
- Create an image using numpy and gaussian filter of the pyqtgraph module.
- Create a custom color map and set it to the image view.
- Add the image video view to the grid layout with other widgets.
- Set grid layout widget as the central widget of main window.
Below is the implementation based on the above approach:
# import required modules from PyQt5.QtWidgets import *
import sys
import numpy as np
import pyqtgraph as pg
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from collections import namedtuple
# Main window class 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()
# method for components
def UiComponents( self ):
# creating a widget object
widget = QWidget()
# creating a label
label = QLabel( "Geeksforgeeks 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 = pg.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
# 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 ),
( 45 , 5 , 61 ),
( 84 , 42 , 55 ),
( 150 , 87 , 60 ),
( 208 , 171 , 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)
# Driver Code # create pyqt5 app App = QApplication(sys.argv)
# create the instance of our Window window = Window()
# start the app sys.exit(App. exec ())
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Output: