首页MatplotlibDeprecationWarning: Support for FigureCanvases without a required_interactive_framework attribute was deprecated in Matplotlib 3.6 and will be removed two minor releases later. plt.plot(xdate,xdate*k+d,'r')

MatplotlibDeprecationWarning: Support for FigureCanvases without a required_interactive_framework attribute was deprecated in Matplotlib 3.6 and will be removed two minor releases later. plt.plot(xdate,xdate*k+d,'r')

时间: 2024-01-30 10:01:41 浏览: 109

Interactive Applications Using Matplotlib

5星 · 资源好评率100%

Interactive Applications Using Matplotlib Copyright © 2015 Packt Publishing What this book covers Chapter 1, Introducing Interactive Plotting, covers basic figure-axes-artist hierarchy and other Matplotlib essentials such as displaying the plot. It also introduces you to theinteractive Matplotlib figure. Chapter 2, Using Events and Callbacks, provides Matplotlib's events and a callback system to bring your figures to life. It also explains how you can extend it with custom events, making the application truly interactive. Chapter 3, Animations, deals with ArtistAnimation, FuncAnimation, and timers to make animations of all types. It also deals with animations that can be saved as movies. Chapter 4, Widgets, covers built-in widgets such as buttons, checkboxes, selectors,lassos, and sliders, which are all explained and demonstrated. Here, you'll also learn about other useful third-party widgets and tools. Chapter 5, Embedding Matplotlib, teaches you how to add GUI elements to an existing Matplotlib application. Here you'll also see how to add your interactive Matplotlib figure to an existing GUI application. Identical examples are presented using GTK, Tkinter, wxWidgets, and Qt.

这个警告是因为在未来的版本中，Matplotlib将会移除对没有 `required_interactive_framework` 属性的 FigureCanvases 的支持。这个警告通常是由于在交互模式下使用了 Matplotlib 绘图引擎造成的，比如在 Jupyter Notebook 或 IPython 中使用 `%matplotlib inline`。为了避免这个警告，你可以通过设置 `matplotlib.use('Agg')` 来使用非交互模式的Matplotlib绘图引擎。另外，你也可以尝试升级 Matplotlib 版本来解决这个问题。

阅读全文