PyQtGraph – Scatter Plot Graph

18 Nov, 2021
In this article we will see how we can create a scatter plot graph using PyQtGraph module.  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.). A scatter plot uses dots to represent values for two different numeric variables. It is a type of plot that uses Cartesian coordinates to display values for typically two variables for a set of data. The position of each dot on the horizontal and vertical axis indicates values for an individual data point. Scatter plots are used to observe relationships between variables.
We can create a plot window and create scatter plot graph on it with the help of commands given below  
# creating a pyqtgraph plot window
plt = pg.plot()

# creating a scatter plot graphof size = 10
scatter = pg.ScatterPlotItem(size=10)
In order to create a scatter plot graph in pyqtgraph, following steps needs to be followed:
Import the pyqtgraph moduleimport other modules as well like numpy and pyqt5Create a main window classCreate scatter plot itemCreate random spots at random position using numpyAdd those spots to the scatter plot dataCreate a grid layoutAdd scatter plot and additional label to the layoutSet layout widget as the central widget 
Import the pyqtgraph module
import other modules as well like numpy and pyqt5
Create a main window class
Create scatter plot item
Create random spots at random position using numpy
Add those spots to the scatter plot data
Create a grid layout
Add scatter plot and additional label to the layout
Set layout widget as the central widget 
Example: 
Python3
# importing Qt widgetsfrom PyQt5.QtWidgets import * # importing systemimport sys # importing numpy as npimport numpy as np # importing pyqtgraph as pgimport pyqtgraph as pgfrom PyQt5.QtGui import *  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 Scatter Plot")         # making label do word wrap        label.setWordWrap(True)         # creating a plot window        plot = pg.plot()         # number of points        n = 300         # creating a scatter plot item        # of size = 10        # using brush to enlarge the of white color with transparency is 50%        scatter = pg.ScatterPlotItem(            size=10, brush=pg.mkBrush(255, 255, 255, 120))         # getting random position        pos = np.random.normal(size=(2, n), scale=1e-5)         # creating spots using the random position        spots = [{'pos': pos[:, i], 'data': 1}                 for i in range(n)] + [{'pos': [0, 0], 'data': 1}]         # adding points to the scatter plot        scatter.addPoints(spots)         # add item to plot window        # adding scatter plot item to the plot window        plot.addItem(scatter)         # Creating a grid layout        layout = QGridLayout()         # minimum width value of the label        label.setMinimumWidth(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(plot, 0, 1, 3, 1)         # setting this widget as central widget of the main window        self.setCentralWidget(widget)  # create pyqt5 appApp = QApplication(sys.argv) # create the instance of our Windowwindow = Window() # start the appsys.exit(App.exec())
Output :  
 
sweetyty
Python-gui
Python-PyQtGraph
Python
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