PyQt6 Charts: An Overview and its Importance in Data Visualization

In this lesson we want to talk about PyQt6 Charts: An Overview and its Importance in Data Visualization.

What is PyQt6 ?

PyQt6 is powerful and user friendly GUI toolkit for Python. it has easy to learn syntax and different features, PyQt6 is the perfect choice for developers looking to create stunning and functional user interfaces. in this article we are going to talk what makes PyQt6 the ultimate GUI toolkit for Python developers, and why it’s must have tool for your next project.

pip install PyQt6

1	pip install PyQt6

PyQt6 Charts: An Overview and its Importance in Data Visualization

Data visualization is crucial aspect of decision making and understanding complex data sets. with advancement of technology the demand for more effective and user friendly tools for data visualization has increased. PyQt6 Charts is one of the tools that has become increasingly popular for its ability to create interactive, visually appealing charts and graphs.

PyQt6 Charts is Python library for creating charts and graphs. it is built on top of PyQt6 library, which provides different features for building desktop and mobile applications. PyQt6 Charts provides comprehensive set of charts and graphs, including line charts, bar charts, pie charts, histograms and scatter plots. the library also supports multiple series and legends, using PyQt6 charts it is easy to create complex visualizations.

One of the key advantages of using PyQt6 Charts is its simplicity. this library provides straightforward API and it is easy to get started, even for those without extensive programming experience. this library also provides many customization options, so that users can create charts that meet their specific needs.

Another advantage of PyQt6 Charts is its flexibility. this library supports both 2D and 3D charts, so users can choose the best format for their data. additionally this library provides supports for real time data that users can create dynamic charts that update in real time. this is particularly useful for visualizing data that changes frequently, such as stock prices or weather data.

PyQt6 Charts is also highly efficient and good. this library uses hardware acceleration for creating smooth and fast loading charts. even when working with large data sets. this makes it great choice for applications that needs to handle large amounts of data, such as financial or scientific applications.

In conclusion, PyQt6 Charts is powerful tool for data visualization. its simple, flexible and it has efficiency that makes it popular choice for both beginners and experienced developers. Whether you are looking to create interactive charts and graphs for your website or build data driven application, PyQt6 Charts is great and best choice for you.

How to Install PyQt6 Charts

To install PyQt6 Charts you can use following steps:

Install PyQt6: PyQt6 Charts is built on top of PyQt6 library, so you will need to install PyQt6 first. you can install PyQt6 using pip package manager by running the following command in your terminal or command prompt:

pip install PyQt6

1	pip install PyQt6

Install PyQt6 Charts: After you have installed PyQt6, you can install PyQt6 Charts by running the following command:

pip install PyQt6-charts

1	pip install PyQt6-charts

Verify installation: To verify that PyQt6 Charts is installed correctly, you can run simple test program. this is an example of test program that creates simple line chart:

import sys
from PyQt6.QtCharts import QChart, QChartView, QLineSeries
from PyQt6.QtCore import Qt
from PyQt6.QtGui import QPainter
from PyQt6.QtWidgets import QApplication, QMainWindow

app = QApplication(sys.argv)

series = QLineSeries()
series.append(0, 6)
series.append(2, 4)
series.append(3, 8)
series.append(7, 4)

chart = QChart()
chart.addSeries(series)
chart.createDefaultAxes()
chart.setTitle("Simple line chart example")

view = QChartView(chart)


window = QMainWindow()
window.setCentralWidget(view)
window.resize(400, 300)
window.show()

sys.exit(app.exec())

import sys

from PyQt6.QtCharts import QChart, QChartView, QLineSeries

from PyQt6.QtCore import Qt

from PyQt6.QtGui import QPainter

from PyQt6.QtWidgets import QApplication, QMainWindow

app = QApplication(sys.argv)

series = QLineSeries()

series.append(0, 6)

series.append(2, 4)

series.append(3, 8)

series.append(7, 4)

chart = QChart()

chart.addSeries(series)

chart.createDefaultAxes()

chart.setTitle("Simple line chart example")

view = QChartView(chart)

window = QMainWindow()

window.setCentralWidget(view)

window.resize(400, 300)

window.show()

sys.exit(app.exec())

Run the complete code and this will be the result.

PyQt6 Charts: An Overview and its Importance in Data Visualization

If the test program runs without any errors, it means that PyQt6 Charts is installed and ready to use.

Note: These instructions are for system running Python 3. if you are using different version of Python the installation steps may be slightly different.

This is an example of 6 different charts created using PyQt6 Charts, we are going to use tabs for our different charts.

import sys
from PyQt6.QtCharts import QChart, QChartView, QLineSeries, QBarSeries, QBarSet, QPieSeries, QScatterSeries, \
    QSplineSeries, QPercentBarSeries
from PyQt6.QtCore import Qt
from PyQt6.QtGui import QPainter
from PyQt6.QtWidgets import QApplication, QMainWindow, QHBoxLayout, QTabWidget


class ChartWindow(QMainWindow):
    def __init__(self):
        super().__init__()

        self.setWindowTitle("PyQt6 Charts Examples")
        self.setGeometry(100, 100, 800, 600)

        self.tabs = QTabWidget()
        self.setCentralWidget(self.tabs)

        self.line_chart = self.create_line_chart()
        self.bar_chart = self.create_bar_chart()
        self.pie_chart = self.create_pie_chart()
        self.scatter_chart = self.create_scatter_chart()
        self.spline_chart = self.create_spline_chart()
        self.percent_bar_chart = self.create_percent_bar_chart()

        self.tabs.addTab(self.line_chart, "Line Chart")
        self.tabs.addTab(self.bar_chart, "Bar Chart")
        self.tabs.addTab(self.pie_chart, "Pie Chart")
        self.tabs.addTab(self.scatter_chart, "Scatter Chart")
        self.tabs.addTab(self.spline_chart, "Spline Chart")
        self.tabs.addTab(self.percent_bar_chart, "Percent Bar Chart")

    def create_line_chart(self):
        series = QLineSeries()
        series.append(0, 6)
        series.append(2, 4)
        series.append(3, 8)
        series.append(7, 4)

        chart = QChart()
        chart.addSeries(series)
        chart.createDefaultAxes()
        chart.setTitle("Line Chart Example")

        view = QChartView(chart)


        return view

    def create_bar_chart(self):
        set1 = QBarSet("Data Set 1")
        set1.append(1)
        set1.append(2)
        set1.append(3)

        set2 = QBarSet("Data Set 2")
        set2.append(2)
        set2.append(3)
        set2.append(4)

        series = QBarSeries()
        series.append(set1)
        series.append(set2)

        chart = QChart()
        chart.addSeries(series)
        chart.createDefaultAxes()
        chart.setTitle("Bar Chart Example")

        view = QChartView(chart)


        return view

    def create_pie_chart(self):
            series = QPieSeries()
            series.append("Data 1", 1)
            series.append("Data 2", 2)
            series.append("Data 3", 3)

            chart = QChart()
            chart.addSeries(series)
            chart.setTitle("Pie Chart Example")

            view = QChartView(chart)


            return view

    def create_scatter_chart(self):
            series = QScatterSeries()
            series.append(0, 0)
            series.append(2, 2)
            series.append(4, 4)

            chart = QChart()
            chart.addSeries(series)
            chart.createDefaultAxes()
            chart.setTitle("Scatter Chart Example")

            view = QChartView(chart)

            return view

    def create_spline_chart(self):
            series = QSplineSeries()
            series.append(0, 6)
            series.append(2, 4)
            series.append(3, 8)
            series.append(7, 4)

            chart = QChart()
            chart.addSeries(series)
            chart.createDefaultAxes()
            chart.setTitle("Spline Chart Example")

            view = QChartView(chart)

            return view

    def create_percent_bar_chart(self):
            set1 = QBarSet("Data Set 1")
            set1.append(1)
            set1.append(2)
            set1.append(3)

            series = QPercentBarSeries()
            series.append(set1)

            chart = QChart()
            chart.addSeries(series)
            chart.createDefaultAxes()
            chart.setTitle("Percent Bar Chart Example")

            view = QChartView(chart)


            return view


app = QApplication(sys.argv)
window = ChartWindow()
window.show()
sys.exit(app.exec())

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import sys

from PyQt6.QtCharts import QChart, QChartView, QLineSeries, QBarSeries, QBarSet, QPieSeries, QScatterSeries, \

QSplineSeries, QPercentBarSeries

from PyQt6.QtCore import Qt

from PyQt6.QtGui import QPainter

from PyQt6.QtWidgets import QApplication, QMainWindow, QHBoxLayout, QTabWidget

class ChartWindow(QMainWindow):

def __init__(self):

super().__init__()

self.setWindowTitle("PyQt6 Charts Examples")

self.setGeometry(100, 100, 800, 600)

self.tabs = QTabWidget()

self.setCentralWidget(self.tabs)

self.line_chart = self.create_line_chart()

self.bar_chart = self.create_bar_chart()

self.pie_chart = self.create_pie_chart()

self.scatter_chart = self.create_scatter_chart()

self.spline_chart = self.create_spline_chart()

self.percent_bar_chart = self.create_percent_bar_chart()

self.tabs.addTab(self.line_chart, "Line Chart")

self.tabs.addTab(self.bar_chart, "Bar Chart")

self.tabs.addTab(self.pie_chart, "Pie Chart")

self.tabs.addTab(self.scatter_chart, "Scatter Chart")

self.tabs.addTab(self.spline_chart, "Spline Chart")

self.tabs.addTab(self.percent_bar_chart, "Percent Bar Chart")

def create_line_chart(self):

series = QLineSeries()

series.append(0, 6)

series.append(2, 4)

series.append(3, 8)

series.append(7, 4)

chart = QChart()

chart.addSeries(series)

chart.createDefaultAxes()

chart.setTitle("Line Chart Example")

view = QChartView(chart)

return view

def create_bar_chart(self):

set1 = QBarSet("Data Set 1")

set1.append(1)

set1.append(2)

set1.append(3)

set2 = QBarSet("Data Set 2")

set2.append(2)

set2.append(3)

set2.append(4)

series = QBarSeries()

series.append(set1)

series.append(set2)

chart = QChart()

chart.addSeries(series)

chart.createDefaultAxes()

chart.setTitle("Bar Chart Example")

view = QChartView(chart)

return view

def create_pie_chart(self):

series = QPieSeries()

series.append("Data 1", 1)

series.append("Data 2", 2)

series.append("Data 3", 3)

chart = QChart()

chart.addSeries(series)

chart.setTitle("Pie Chart Example")

view = QChartView(chart)

return view

def create_scatter_chart(self):

series = QScatterSeries()

series.append(0, 0)

series.append(2, 2)

series.append(4, 4)

chart = QChart()

chart.addSeries(series)

chart.createDefaultAxes()

chart.setTitle("Scatter Chart Example")

view = QChartView(chart)

return view

def create_spline_chart(self):

series = QSplineSeries()

series.append(0, 6)

series.append(2, 4)

series.append(3, 8)

series.append(7, 4)

chart = QChart()

chart.addSeries(series)

chart.createDefaultAxes()

chart.setTitle("Spline Chart Example")

view = QChartView(chart)

return view

def create_percent_bar_chart(self):

set1 = QBarSet("Data Set 1")

set1.append(1)

set1.append(2)

set1.append(3)

series = QPercentBarSeries()

series.append(set1)

chart = QChart()

chart.addSeries(series)

chart.createDefaultAxes()

chart.setTitle("Percent Bar Chart Example")

view = QChartView(chart)

return view

app = QApplication(sys.argv)

window = ChartWindow()

window.show()

sys.exit(app.exec())

This is a brief explanation of each chart example in the code:

create_line_chart(): This function creates line chart. It creates QLineSeries object and adds three data points to it. chart’s title is set to “Line Chart Example”. chart view is returned from this function and will be displayed in tab in the main window.
create_bar_chart(): This function creates bar chart. it creates QBarSeries object and adds bar set with three data points to it. chart’s title is set to “Bar Chart Example”. chart view is returned from this function and will be displayed in a tab in the main window.
create_area_chart(): This function creates an area chart. it creates QAreaSeries object and adds two QLineSeries objects to it. chart’s title is set to “Area Chart Example”. chart view is returned from this function and will be displayed in tab in the main window.

create_pie_chart(): This function creates pie chart. it creates QPieSeries object and adds three data points to it. chart’s title is set to “Pie Chart Example”. The chart view is returned from this function and will be displayed in a tab in the main window.
create_scatter_chart(): This function creates scatter chart. it creates QScatterSeries object and adds three data points to it. chart’s title is set to “Scatter Chart Example”. chart view is returned from this function and will be displayed in tab in the main window.
create_spline_chart(): This function creates spline chart. it creates QSplineSeries object and adds four data points to it. chart’s title is set to “Spline Chart Example”. chart view is returned from this function and will be displayed in tab in the main window.

create_percent_bar_chart(): This function creates percent bar chart. It creates QBarSet object with three data points and adds it to QPercentBarSeries object. chart’s title is set to “Percent Bar Chart Example”. chart view is returned from this function and will be displayed in tab in the main window.

Run the complete code and you will different charts inside tabs, these are some images from the charts.

PyQt6 BarCharts

PyQt6 PieChart

PyQt6 Percent Chart

Learn More on Python

What is PyQt6 ?

PyQt6 Charts: An Overview and its Importance in Data Visualization

How to Install PyQt6 Charts

Learn More on Python

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