You have multiple options available for adding interactive plots to your Python GUIs. These range from the standard Python plotting library, matplotlib, which has Qt support built-in, to Qt-specific PyQtGraph and Qt Charts which use the vector graphics features of Qt to provide highly responsive charts.

Explore Plotting in GUIs

Showing articles for All (12) PyQt6 (6) PySide6 (2) PyQt5 (1) Streamlit (0) Tkinter (0) PySide2 (1) Kivy (0)

Plotting With Matplotlib and PyQt6

Create PyQt6 plots with the popular Python plotting library

Plotting With Matplotlib and PySide6

Create PySide6 plots with the popular Python plotting library

Matplotlib with QtQuick (QML)

How to display Matplotlib plots inside a QML application using PySide6

Creating Grouped and Stacked Bar Charts with PyQtGraph

Build professional grouped and stacked bar charts in your PyQt6 applications using pyqtgraph's BarGraphItem

Changing Ticks in PyQtGraph Objects to Strings

How to replace numeric axis ticks with custom labels like month names or dates in PyQtGraph

Plotting with Two Y-Axes in PyQtGraph

How to display two data series with independent Y-axes on a single plot

Plotting With Matplotlib and PySide2

Create PySide2 plots with the popular Python plotting library

Plotting Binary File Data with Matplotlib in PyQt6

Load binary files and plot them interactively using Matplotlib and PyQt6

Save multiple plots to pdf

How to save multiple matplotlib plots to a single PDF file from a PyQt6 application

QtChart vs PyQtGraph

Comparing performance, popularity, and licensing for Python GUI plotting

Building an Interactive Audio Editor with PyQtGraph and PyQt6

Use PyQtGraph's fast, interactive plotting to visualize audio waveforms and spectra in a PyQt6 application

Plotting With Matplotlib and PyQt5

Create PyQt5 plots with the popular Python plotting library