How To Draw Scatter Plot in Pyqtgraph

In this Pyqtgraph article i want to show you How To Draw Scatter Plot in Pyqtgraph.

Also check my previous article on Pyqtgraph

1: Pyqtgraph Introduction Installation & Drawing Line

What is Scatter Plot ?

A scatter plot is a two-dimensional data visualization that uses dots to represent the values obtained for two different variables – one plotted along the x-axis and the other plotted along the y-axis.

When to Use Scatter Plots

Scatter plots are used when you want to show the relationship between two variables. Scatter plots are sometimes called correlation plots because they show how two variables are correlated.

So now this is the complete code for How To Draw Scatter Plot in Pyqtgraph

import sys
from PyQt5.QtWidgets import QApplication
import pyqtgraph as pg
import numpy as np

app = QApplication(sys.argv)


x = np.random.normal(size=1000)
y = np.random.normal(size=1000)
pg.plot(x, y, pen=None, symbol='o')

status = app.exec_()
sys.exit(status)

import sys

from PyQt5.QtWidgets import QApplication

import pyqtgraph as pg

import numpy as np

app = QApplication(sys.argv)

x = np.random.normal(size=1000)

y = np.random.normal(size=1000)

pg.plot(x, y, pen=None, symbol='o')

status = app.exec_()

sys.exit(status)

OK now in the above code first we have imported the libraries, basically we have imported Numpy, Pyqt5 and Pyqtgraph

import sys
from PyQt5.QtWidgets import QApplication
import pyqtgraph as pg
import numpy as np

import sys

from PyQt5.QtWidgets import QApplication

import pyqtgraph as pg

import numpy as np

In this line of code we have created the object of QApplication from PyQt5

app = QApplication(sys.argv)

1	app = QApplication(sys.argv)

And these are the x and y values for our scatter plot, basically we are using random numbers between 1000.

x = np.random.normal(size=1000)
y = np.random.normal(size=1000)

1 2	x = np.random.normal(size=1000) y = np.random.normal(size=1000)

In here we have plotted the scatter

pg.plot(x, y, pen=None, symbol='o')

1	pg.plot(x, y, pen=None, symbol='o')

So now run the complete code and this will be the result

Also you can watch the complete video for this article

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