Python:在tkinter中正确嵌入带滑块的matplotlib图

时间:2016-10-30 01:42:17

标签: python matplotlib tkinter

我在pyplot中创建了这个图,它有一个滑块可以查看特定范围的数据。

import random
import matplotlib
import tkinter as Tk
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider

from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg

fig, ax = plt.subplots()
plt.subplots_adjust(bottom=0.25)

y_values = [random.randrange(20, 40, 1) for _ in range(40)]
x_values = [i for i in range(40)]

l, = plt.plot(x_values, y_values)
plt.axis([0, 9, 20, 40])

ax_time = plt.axes([0.12, 0.1, 0.78, 0.03])
s_time = Slider(ax_time, 'Time', 0, 30, valinit=0)


def update(val):
    pos = s_time.val
    ax.axis([pos, pos+10, 20, 40])
    fig.canvas.draw_idle()
s_time.on_changed(update)

#plt.show()

matplotlib.use('TkAgg')

root = Tk.Tk()
root.wm_title("Embedding in TK")

canvas = FigureCanvasTkAgg(fig, master=root)
canvas.show()
canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)

Tk.mainloop()

问题是,当嵌入到tkinter窗口时它似乎没有响应,尽管当我用plt.show()显示它时(意味着此后的代码被注释)正常工作。这样做的正确方法是什么?

1 个答案:

答案 0 :(得分:2)

我想出了这个。在创建绘图之前,需要将该图添加到画布中。

import random
import matplotlib
import tkinter as Tk
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg

matplotlib.use('TkAgg')

root = Tk.Tk()
root.wm_title("Embedding in TK")
fig = plt.Figure()
canvas = FigureCanvasTkAgg(fig, root)
canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)

ax=fig.add_subplot(111)
fig.subplots_adjust(bottom=0.25)

y_values = [random.randrange(20, 40, 1) for _ in range(40)]
x_values = [i for i in range(40)]

ax.axis([0, 9, 20, 40])
ax.plot(x_values, y_values)

ax_time = fig.add_axes([0.12, 0.1, 0.78, 0.03])
s_time = Slider(ax_time, 'Time', 0, 30, valinit=0)


def update(val):
    pos = s_time.val
    ax.axis([pos, pos+10, 20, 40])
    fig.canvas.draw_idle()
s_time.on_changed(update)

Tk.mainloop()