PyQt5 plot on Matplotlib: PyQt5 tutorial - Part 07

The video is part 07 of PyQt5 GUI learning series. It contains instructions to make Drag and Drop based csv file data plotting application. All columns of the data will be plotted and the header of each column will be labeled in the legend. The legend is draggable. Various themes are added to the Combo box widget. A user can select any theme for the plot. In this way, you will learn how to use PyQt5 designer to make GUI with combo box, properly selecting horizontal and vertical spacing, and the layouts. This application is very useful in generating rapid plots for various time series data as well. In addition to that we use super() function to parent the previous main window class on this new class and added more functionality to it.

Python version: 3.6.5
Matplotlib version: 3.2.1

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OpenCV and PyQt5: PyQt5 tutorial - Part 05: PyQt5 and OpenCv: PyQt5 tutorial - Pa...
Matplotlib and PyQt5: PyQt5 tutorial - Part 06: How to plot csv file data: PyQt5 tuto...


Source Code: https://pyshine.com/Drag-Drop-CSV-Fil...
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