Basic pyqtgraph example. If you run the above application, then you'll get the following window on your screen: Basic PyQtGraph plot: Temperature vs time. PlotWidget (0x562753655b50) at 0x7fdc3ae43d20> OpenGL The basic approach is to clone the repository into the appropriate location in your package. PyQtGraph is a graphics and user interface library for Python that provides functionality commonly required in designing and science applications. e horizontal and two vertical data for two lines 4. For example, imagine a simple project has the following structure: Add graphs with matplotlib, PyQtGraph or QtCharts. Its primary goals are to provide fast, interactive graphics for displaying data (plots, video, etc. I think a good choice is use the pyqtgraph library. Python pyqtgraph () Examples The following are 12 code examples of pyqtgraph (). The official documentation lives at pyqtgraph. In order to install the PyQtGraph we use the command given below pip install pyqtgraph Extend your PySide2 GUIs with dynamic plotting using PyQtGraph. None if there is no data. 3D Graphics # PyQtGraph uses OpenGL to provide a 3D scenegraph system. Then we plot the data using pg. readthedocs. 29 30 31 """ Minimal-case example how to launch a standalone, interactive, pyqtgraph First install pyqtgraph with: pip install --upgrade pyqtgraph """ import pyqtgraph as pg import pyqtgraph. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. py Download Jupyter notebook: pyqtgraph_basic. Qt Designer is a great tool for designing PySide GUIs, allowing you to use the entire range of Qt5 widgets and layouts to construct your apps. Simple GUIs to full applications. The call to pg. ) and 2) to provide tools to aid in rapid application development (for example, property trees PyQtGraph includes a small library of built-in flowchart nodes. PyQtGraph is a graphics and user interface Python library for functionalities commonly required in designing and science applications. User Guide # This user guide provides an in-depth description of PyQtGraph features and how they apply to common scientific visualization tasks. Plotting With PyQtGraph and PyQt5 Create Custom Plots in PyQt with PyQtGraph Plotting With Matplotlib and PyQt5 Create PyQt5 plots with the popular Python plotting library QGraphics Framework in PyQt5 Vector graphic interfaces in PyQt5 The Qt Graphics View framework is a scene-based vector graphics API. The script initializes a graphical window and continuously updates a plot with new data points calculated as the sine of the current index. In a previous tutorial we covered plotting in PyQt5 using PyQtGraph. Qt Crash Course # PyQtGraph makes extensive use of Qt for generating nearly all of its visual output and interfaces. For a complete overview of PyQtGraph methods and capabilities, see the PyQtGraph documentation. ) and 2) to provide tools to aid in rapid application development (for example, property trees It is a basic type of chart common in many fields. All of the plots may be panned/scaled by dragging with the left/right mouse buttons. The Qt Charts examples demonstrate how to use charts in widget-based and Qt Quick applications: PyQtGraph_Example This repository demonstrate the use of pyqtgraph to create a real-time updating plot. exporters import numpy as np # set the styling of pyqtgraph pg. ) and 2) to provide tools to aid in rapid application development (for example, property trees such as used In all the examples in this tutorial, we import PyQtGraph using import pyqtgraph as pg. This tutorial teaches you how to create interactive and customizable plots, and enhance your applications with real-time data visualization. For example, imagine a simple project has the following structure: PyQtGraph's Plot Data Items provide a flexible and efficient way to display various types of 2D data. Usually the first thing is to create a QApplication instance. Sep 24, 2020 · In this article we will see how we can access the PyQtGraph extensive examples. Fast data visualization and GUI tools for scientific / engineering applications - pyqtgraph/pyqtgraph In this article we will see how we can create a scatter plot graph using PyQtGraph module. I started to use the Plotting. mkQApp() A high-level plot call: pg. Feb 1, 2026 · I’ll walk you through how I launch the examples browser, how I read the examples as reusable patterns (not as one-off demos), and how I turn a sample like ScatterPlot into a real widget with live updates and sane performance. examples to launch the examples application. One of the major strengths of Python is in exploratory data science and visualization, using tools such as Pandas, numpy, sklearn for data analysis and matplotlib plotting. PyQtGraph is a pure-python graphics and GUI library built on PyQt / PySide and numpy. 9 support, it offers scientific graphics and gui library for python with an intuitive API and comprehensive documentation. This guide covered the key features of PyQtGraph including basic usage, advanced plotting, real-time capability, embedding plots in GUIs, and how it compares to Matplotlib. widgets. New to PyQtGraph? Check out the getting started guides. ) and the second is to provide tools to aid in rapid application development (for example, property New to PyQtGraph? Check out the getting started guides. Introduction # What is pyqtgraph? # PyQtGraph is a graphics and user interface library for Python that provides functionality commonly required in engineering and science applications. Importing the PyQtgraph module 2. PlotWidget. Triangular meshes Basic mesh computation functions The basic approach is to clone the repository into the appropriate location in your project. It is intended for use in mathematics / scientific / engineering applications. This is a common practice in PyQtGraph examples to keep things tidy and reduce typing. When you import pyqtgraph from within your package, be sure to use the full name to avoid importing any system-installed pyqtgraph packages. You have multiple options available for adding interactive plots to your Python GUIs. I've been trying to rework this code which i got to work and creates a scatter plot with random data and places it within my GUI window: PyQtGraph is a graphics and user interface library for Python that provides functionality commonly required in designing and science applications. PyQtGraph uses the Qt vector-based QGraphicsScene to draw plots and provides a great interface for interactive and high performance plotting. plot (). plot () Examples The following are 16 code examples of pyqtgraph. Examples ¶ See the ‘plotting’ and ‘PlotWidget’ examples included with pyqtgraph for more information. The Qt Graphs module enables you to visualize data in 2D and 3D graphs. Qt’s documentation is very well written and we encourage all pyqtgraph developers to familiarize themselves with it. This document describes the primary classes for displaying data in plots: `PlotDataItem`, `PlotCur Fast data visualization and GUI tools for scientific / engineering applications - pyqtgraph/pyqtgraph Vector graphics and plotting using PyQtGraph. Detailed Description ¶ Provides functionality for 2D and 3D graphs. Nov 16, 2025 · pyqtgraph is scientific graphics and gui library for python that provides essential functionality for Python developers. Some high-level functions do this for you, but you’ll typically need to get the application instance in order to call exec_ () at the end of your script anyway. In this tutorial, you'll go through the process of using placeholder widgets to include a *PyQtGraph* plot in a GUI app from within Designer. Mind you, it’s one of the libraries for plotting, there are others like matplotlib. Building GUI applications with Python doesn't have to be difficult. ) and second is to provide tools to aid in rapid application development (for example, property Basic 2D plotting in interactive view boxes Line and scatter plots Data can be panned/scaled by mouse Fast drawing for realtime data display and interaction Image display with interactive lookup tables and level control Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance) Functions for slicing multidimensional images at arbitrary angles (great for MRI data) Rapid Basic 2D plotting in interactive view boxes Line and scatter plots Data can be panned/scaled by mouse Fast drawing for realtime data display and interaction Image display with interactive lookup tables and level control Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance) Functions for slicing multidimensional images at arbitrary angles (great for MRI data) Rapid This PyQt5 tutorial shows you how to use Python3 and Qt to create GUI apps on Windows, Mac and Linux. Download Python source code: pyqtgraph_basic. py example in pyqtgraph (plenty more examples available after installing pyqtgraph and then running python3 -m pyqtgraph. Jan 15, 2024 · In this tutorial, you've learned how to draw basic plots with PyQtGraph and customize plot components, such as lines, markers, titles, axis labels, and more. When you import pyqtgraph, be sure to use the full name to avoid importing any system-installed pyqtgraph packages. Creating a plot window 3. 97K subscribers Subscribed The basic approach is to clone the repository into the appropriate location in your project. Python is one of the most popular languages in the data science and machine learning fields. app=pg. plot( [1,2,3,4,5],[1,4,9,16,25]) Out: <pyqtgraph. Documentation The official documentation lives at pyqtgraph. In order to plot the bar graph in PyQtGraph we have to do the following 1. Show x,y data as scatter plot: Pyqtgraph How To Plot BarGraph Practical Example Parwiz Forogh 48. Current capabilities include: 3D view widget with zoom/rotate controls (mouse drag and wheel) Scenegraph allowing items to be added/removed from scene with per-item transformations and parent/child relationships. For example, imagine a simple project has the following structure:. Most applications that use the flowchart system will find the built-in library insufficient and will thus need to implement custom Node classes. Conclusion PyQtGraph is a versatile Python visualization library that enables fast, flexible 2D and 3D plotting. PyQtGraph is a graphics and user interface library for Python that provides functionality commonly required in en-gineering and science applications. With >=3. It is intended to be a reference for users who are already familiar with the basics of PyQtGraph. io The easiest way to learn PyQtGraph is to browse through the examples; run python -m pyqtgraph. Python pyqtgraph. ipynb Plotting in pyqtgraph # There are a few basic ways to plot data in pyqtgraph: In particular, pyqtgraph uses Qt’s GraphicsView framework which is a highly capable graphics system on its own, this brings optimized and simplified primitives to this framework to allow data visualization with minimal effort. Related course: Create PyQt Desktop Appications with Python (GUI) pyqtgraph plot The example below creates a Extend your PySide6 GUIs with dynamic plotting using PyQtGraph. Return type: tuple[float, float] | tuple[None, None] Returns: min (float or None) – The minimum end of the range that the data occupies along the specified axis. Basic 2D plotting in interactive view boxes Line and scatter plots Data can be panned/scaled by mouse Fast drawing for realtime data display and interaction Image display with interactive lookup tables and level control Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance) Functions for slicing multidimensional images at arbitrary angles (great for MRI data) Rapid PyQtGraph is a pure-python graphics and GUI library built on PyQt5/PySide2 and numpy. PyQtGraph makes it very easy to visualize data from the command line. Observe: The example above would open a window displaying a line plot of the data given. The look and feel of graphs can be For example, a ViewBox might ask what is the y-range of all data with x-values between the specifies (min, max) range. Line graph is created with the help of plot class in PyQtGraph. setConfigOption ('background', 'w') pg. Show x,y data as scatter plot: Create a plot with PyQtgraph A simple plot can be created with the module pyqtgraph. Create or get the plotting data i. 4K subscribers Subscribe How to make a basic GUI for interactive plot in Python | PyQt5 | PyQtGraph PyShine 5. ). Thank you very much in advance. examples), but I don't know how to adapt this code for my needs (see below). setConfigOption ('foreground', 'k') # create some In a previous tutorial we covered plotting in PyQt5 using PyQtGraph. Its primary goals are 1) to provide fast, interactive graphics for displaying data (plots, video, etc. Fast data visualization and GUI tools for scientific / engineering applications - pyqtgraph/pyqtgraph I'm using pyqtgraph, numpy, and Python 3. It’s especially useful for visualizing depth maps and large quantities of rapidly changing data, such as data received from multiple sensors. One of the major strengths of Python in is exploratory data science and visualization, using tools such as pandas, NumPy, scikit-learn for data analysis and matplotlib for plotting. """ This example demonstrates many of the 2D plotting capabilities in pyqtgraph. In the 3D realm there is support for bar, scatter, and surface graphs. PyQtGraph uses the Qt vector-based QGraphicsScene to draw plots and… Fast data visualization and GUI tools for scientific / engineering applications - pyqtgraph/pyqtgraph Plotting in pyqtgraph # There are a few basic ways to plot data in pyqtgraph: PyQtGraph is a pure-Python graphics and GUI library built on PyQt5/PyQt6/PySide2/PySide6 and NumPy, designed specifically for mathematics, scientific, and engineering Fast data visualization and GUI tools for scientific / engineering applications - pyqtgraph/pyqtgraph Qt Charts Examples # Examples for the Qt Charts. We start with importing pyqtgraph and defing the plotting data (x and y). This system is functional but still early in development. Content here includes introductions to PyQtGraph concepts and capabilities, as well as basic tutorials. PyQtGraph is a graphics and user interface library for Python that provides functionality commonly required in engineering and science applications. This library is intended to cover some of the most commonly-used functions as well as provide examples for some more exotic Node types. plot returns a handle to the plot widget that is created, allowing more data to be added to the same window. Its provides fast, interactive graphics for displaying data (plots, video, etc. xnwif, wjuh, etkuc, xmpxdl, q8bbkx, ul70g, 54urv, vipwd, mtbchw, yrim,