tkinter canvas 和 matplotlib 图形大小调整的问题

Question

对tkinter比较陌生，现在卡住了。我正在构建一个应用程序，其中用户正在加载数据csv文件。这被存储为数据框架。该应用程序的目的是能够绘制已加载的数据。一切都很好，直到我开始执行在情节中添加额外轴的选项。目前，我只添加了添加y轴的选项。一切都很好，我可以绘制数据，但这里是问题开始的地方。

对于绘图，我使用FigureCanvasTkAgg实现。我创建了一个画布，并在上面绘制了情节。然而，我正在经历图形改变大小，使右轴在窗外。增加窗口的大小可以显示轴。我已经实现了图形大小的调整，将画布绑定到一个事件，在这个事件中，新的大小被拾取。然而，调整大小有它自己的生命。我用matplotlib中的寄生轴例子重新创建了一个类似的设置。有人可以解释为什么数字的行为，因为它改变窗口大小时?

import tkinter as tk
import matplotlib
import matplotlib.pyplot as plt
matplotlib.use('TkAgg')
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
def resize_canvas(event):

print(event)
new_width = event.width
new_height = event.height
print(new_width, new_height)

plot_window.get_tk_widget().configure(width=new_width, height=new_height)

fig.set_figheight(new_height/96)
fig.set_figwidth(new_width/96)

plot_window.draw()

root = tk.Tk()
main_fr = tk.Frame()
main_fr.pack(side="top", fill="both", expand=True)
root.wm_geometry("736x670")
root.minsize(736,670)
root.maxsize(1600,800)
fig = Figure(figsize=(736/96,670/96), tight_layout=True, dpi=96)
plot_window = FigureCanvasTkAgg(fig, master=main_fr)

host = host_subplot(111, axes_class=AA.Axes, figure=fig)

par1 = host.twinx()
par2 = host.twinx()

offset = 50
new_fixed_axis = par2.get_grid_helper().new_fixed_axis
par2.axis["right"] = new_fixed_axis(loc="right",
axes=par2,
offset=(offset, 0))
par1.axis["right"].toggle(all=True)
par2.axis["right"].toggle(all=True)
host.set_xlim(0, 2)
host.set_ylim(0, 2)
host.set_xlabel("Distance")
host.set_ylabel("Density")
par1.set_ylabel("Temperature")
par2.set_ylabel("Velocity")
p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
p2, = par1.plot([0, 1, 2], [0, 3, 2], label="Temperature")
p3, = par2.plot([0, 1, 2], [50, 30, 15], label="Velocity")
par1.set_ylim(0, 4)
par2.set_ylim(1, 65)
host.legend()
host.axis["left"].label.set_color(p1.get_color())
par1.axis["right"].label.set_color("red")
par2.axis["right"].label.set_color(p3.get_color())  
main_fr.columnconfigure(1,weight=1)
main_fr.rowconfigure(1,weight=1)
plot_window.get_tk_widget().grid(row=1, column=1, sticky="nsew")        
plot_window.get_tk_widget().bind('<Configure>', resize_canvas)
#plot_window.draw()
root.mainloop()

Answer 1

我认为这就是你想要达到的目标:

import tkinter as tk
import matplotlib
import matplotlib.pyplot as plt
matplotlib.use('TkAgg')
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA

root = tk.Tk()
fig = Figure(figsize=(10,7), dpi=96)
plot_window = FigureCanvasTkAgg(fig, master=root)
host = host_subplot(111, axes_class=AA.Axes, figure=fig)

par1 = host.twinx()
par2 = host.twinx()

offset = 50
new_fixed_axis = par2.get_grid_helper().new_fixed_axis
par2.axis["right"] = new_fixed_axis(loc="right",axes=par2,offset=(offset, 0))
par1.axis["right"].toggle(all=True)
par2.axis["right"].toggle(all=True)
host.set_xlim(0, 2)
host.set_ylim(0, 2)
host.set_xlabel("Distance")
host.set_ylabel("Density")
par1.set_ylabel("Temperature")
par2.set_ylabel("Velocity")
p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
p2, = par1.plot([0, 1, 2], [0, 3, 2], label="Temperature")
p3, = par2.plot([0, 1, 2], [50, 30, 15], label="Velocity")
par1.set_ylim(0, 4)
par2.set_ylim(1, 65)
host.legend()
host.axis["left"].label.set_color(p1.get_color())
par1.axis["right"].label.set_color("red")
par2.axis["right"].label.set_color(p3.get_color())  
plot_window.get_tk_widget().pack(side = tk.TOP, expand = True , fill = tk.BOTH)
root.mainloop()

我已经删除了main_fr，并将FigureCanvasTkAgg打包到根目录中，并且tight_layout引起了问题。