向 NavigationToolbarTkAgg 添加自定义按钮

Question

我有基于 Tkinter 的应用程序，我想为其添加一个自定义按钮，允许用户指定 x 轴和 y 轴，之后 matplotlib 画布将显示指定的轴范围。

我一直在处理其他repo's、SO 和博客posts 上的问题，试图了解如何做到这一点，这让我可以添加自定义按钮，它能够“放大”感兴趣的区域（固定为 [15,45] 以进行测试）但它忘记了它的初始轴（这意味着默认的 home 和 back 按钮在自定义 @ 之前无法返回任何内容987654327@按钮被按下）。

我的自定义工具栏代码：

# Custom toolbar
class CustomToolbar(NavigationToolbar2TkAgg):
    def plot_axes(self):
        # This function currently makes it so that the 'original view' is lost
        # TODO Fix the above bug
        self.canvas.figure.axes[0].set_xlim([10,60])
        self.canvas.draw()

    def __init__(self,canvas_,parent_):
        self.toolitems = (
            ('Home', 'Reset original view', 'home', 'home'),
            ('Back', 'Back to previous view', 'back', 'back'),
            ('Forward', 'Forward to next view', 'forward', 'forward'),
            ('Pan', 'Pan axes with left mouse, zoom with right', 'move', 'pan'),
            ('Zoom', 'Zoom to rectangle', 'zoom_to_rect', 'zoom'),
            # TODO Get this poor thing a nice gif
            ('Axes', 'Zoom in on region of interest (15-45)', 'subplots', 'plot_axes'),
            ('Subplots', 'Configure subplots', 'subplots', 'configure_subplots'),
            ('Save', 'Save the figure', 'filesave', 'save_figure'),
            )
        NavigationToolbar2TkAgg.__init__(self,canvas_,parent_)

所以问题是，我应该如何更改 xlim 和 ylim 值，以使 GUI 不会忘记初始 xlim/ylim，确保 home 和 back 按钮仍然按预期工作.

MCVE：

#! /usr/bin/env python

# General imports
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
from Tkinter import *
import matplotlib
import random

Xdata = xrange(0,60)
Ydata = random.sample(range(1,100),60)

# Custom toolbar
class CustomToolbar(NavigationToolbar2TkAgg):
    def plot_axes(self):
        # This function currently makes it so that the 'original view' is lost
        # TODO Fix the above bug
        self.canvas.figure.axes[0].set_xlim([15,45])
        self.canvas.draw()

    def __init__(self,canvas_,parent_):
        self.toolitems = (
            ('Home', 'Reset original view', 'home', 'home'),
            ('Back', 'Back to previous view', 'back', 'back'),
            # TODO Get this poor thing a nice gif
            ('Axes', 'Zoom in on region of interest (10-60)', 'subplots', 'plot_axes'),
            )
        NavigationToolbar2TkAgg.__init__(self,canvas_,parent_)

# Functions
def openFile(fig,canvas):
    fig.clear()
    axes = fig.add_subplot(111)
    line, = axes.plot(Xdata,Ydata,label="dummy")
    handles, labels = axes.get_legend_handles_labels()
    fig.legend(handles,labels)
    axes.get_xaxis().get_major_formatter().set_useOffset(False)
    axes.set_xlabel("X")
    axes.set_ylabel("Y")
    canvas.draw()   

# Applicatiom
class App():
    def __init__(self, master):
        # CANVAS
        self.fig = matplotlib.figure.Figure()
        self.canvas = FigureCanvasTkAgg(self.fig, master=master)
        self.toolbar = CustomToolbar(self.canvas, master)
        self.canvas.get_tk_widget().pack(fill=BOTH, expand=YES)
        self.canvas.draw()

        # FRAME
        frame = Frame(master)

        # QUIT
        def close():
            root.destroy()
            root.quit()
        root.protocol("WM_DELETE_WINDOW", lambda: close())

        # MENU
        menu = Menu(master)
        master.config(menu=menu)

        filemenu = Menu(menu, tearoff=0)
        menu.add_cascade(label="File", menu=filemenu)
        filemenu.add_command(label="Open Chromatogram", command=lambda: openFile(self.fig, self.canvas))

# Call the main app
if __name__ == "__main__":
    root = Tk()
    app = App(root)
    root.mainloop()

附加信息：

操作系统：Win7 Py: 2.7.13 (Anaconda 4.3.0) 库：Matplotlib 2.0.0

Answer 1

在我看来，您只需要在更改限制之前存储当前视图。 IE。添加self.push_current() 可能就足够了。

class CustomToolbar(NavigationToolbar2TkAgg):
    def plot_axes(self):
        self.push_current()   # <--- add this
        self.canvas.figure.axes[0].set_xlim([15,45])
        self.canvas.draw()

注意：在较新版本的 matplotlib 中，您应该使用 NavigationToolbar2Tk 而不是 NavigationToolbar2TkAgg