如何在Matplotlib中使用按钮在两个不同的图形之间切换

我有两个不同的matplotlib图，我想在按下按钮时进行切换。当按下按钮时，我拥有的代码会将第二张图添加到第一张图下方，但是我希望它替换第一张图。这是一个有点类似的stackoverflow问题（如何更新嵌入到tkinter中的matplotlib？），但我似乎无法将其应用于我的情况。

我编写的图形graph_one和graph_two是我从matplotlib文档中提取的两个简单图形。在我的实际使用中，我有两个非常不同的非常复杂的图，一个是单个图，另一个是另外的子图。因为我希望在图之间来回切换的图是如此不同，所以对我来说重要的是，该解决方案能够将图输入作为单独的定义来处理。还应注意，我的图已嵌入tkinter小部件中，解决方案也应考虑此嵌入，这一点很重要。这是我的代码：

import matplotlib
matplotlib.use("TkAgg")
import matplotlib.pyplot as plt
import numpy as np
from tkinter import *
from matplotlib.backends.backend_tkagg import (
    FigureCanvasTkAgg, NavigationToolbar2Tk)
# Implement the default Matplotlib key bindings.
from matplotlib.backend_bases import key_press_handler



def graph_one():
    t = np.arange(0.0, 2.0, 0.01)
    s = 1 + np.sin(2 * np.pi * t)

    fig, ax = plt.subplots()
    ax.plot(t, s)

    ax.set(xlabel='time (s)', ylabel='voltage (mV)',
           title='Graph One')

    #plt.show()
    return fig


def graph_two():
    t = np.arange(0.0, 2.0, 0.01)
    s = 1 + np.cos(2 * np.pi * t)

    fig, ax = plt.subplots()
    ax.plot(t, s)

    ax.set(xlabel='time (s)', ylabel='voltage (mV)',
           title='Graph Two')

    #plt.show()
    return fig

class matplotlibSwitchGraphs:
    def __init__(self, master):
        self.master = master
        self.frame = Frame(self.master)
        self.embed_graph_one()
        self.frame.pack(expand=YES, fill=BOTH)

    def embed_graph_one(self):

        fig = graph_one()

        canvas = FigureCanvasTkAgg(fig, self.master)  
        canvas.get_tk_widget().pack(side=TOP, fill=BOTH, expand=1)
        canvas.draw()

        canvas.mpl_connect("key_press_event", self.on_key_press)

        toolbar = NavigationToolbar2Tk(canvas, self.master)
        toolbar.update()
        canvas.get_tk_widget().pack(side=TOP, fill=BOTH, expand=1)


        self.button = Button(self.master, text="Quit", 
command=self._quit)
        self.button.pack(side=BOTTOM)
        self.button_switch = Button(self.master, text="Switch Graphs", 
command=self.switch_graphs)
        self.button_switch.pack(side=BOTTOM)

    def embed_graph_two(self):

        fig = graph_two()

        canvas = FigureCanvasTkAgg(fig, self.master)  
        canvas.draw()
        canvas.get_tk_widget().pack(side=TOP, fill=BOTH, expand=1)

        canvas.mpl_connect("key_press_event", self.on_key_press)

        toolbar = NavigationToolbar2Tk(canvas, self.master)
        toolbar.update()
        canvas.get_tk_widget().pack(side=TOP, fill=BOTH, expand=1)


        self.button = Button(self.master, text="Quit", 
command=self._quit)
        self.button.pack(side=BOTTOM)
        self.button_switch = Button(self.master, text="Switch Graphs", 
command=self.switch_graphs)
        self.button_switch.pack(side=BOTTOM)


    def on_key_press(event):
        print("you pressed {}".format(event.key))
        key_press_handler(event, canvas, toolbar)

    def _quit(self):
        self.master.quit()  # stops mainloop

    def switch_graphs(self):
        self.embed_graph_two()

def main():
    root = Tk()
    matplotlibSwitchGraphs(root)
    root.mainloop()



if __name__ == '__main__':
    main()

看来我应该能够使用类似的命令

ax.clear()

在switch_graphs def中清除第一张图，但这不起作用。任何帮助，将不胜感激。

我将发布更新的代码，以显示我已取得的一些小进展，以及更好地表示我希望在其间切换的两个图表的不同性质。这两个图仍然是直接从matplotlib文档中直接获取的简单图，但它们更好地表示我的一个图是单个图，而第二个图则有两个图直接位于彼此之上。

在我的实际情况下，我试图使用一个按钮来在带有交易量叠加的烛台图表和没有交易量叠加的烛台图表之间切换。发布所有代码以显示烛台图将花费很长的代码，因此我通过使用这些更简单的图形进行了简化。为了简单起见，我还取消了matplotlib的导航工具栏。这是我的修改代码：

import matplotlib
matplotlib.use("TkAgg")
import matplotlib.pyplot as plt
import numpy as np
from tkinter import *
from matplotlib.backends.backend_tkagg import (
    FigureCanvasTkAgg, NavigationToolbar2Tk)
# Implement the default Matplotlib key bindings.
from matplotlib.backend_bases import key_press_handler



class matplotlibSwitchGraphs:
    def __init__(self, master):
        self.master = master
        self.frame = Frame(self.master)
        self.embed_graph_one()
        self.frame.pack(expand=YES, fill=BOTH)

    # the def creates the first matplotlib graph
    def graph_one(self):
        t = np.arange(0.0, 2.0, 0.01)
        s = 1 + np.sin(2 * np.pi * t)

        fig, ax = plt.subplots()
        ax.plot(t, s)

        ax.set(xlabel='time (s)', ylabel='voltage (mV)',
               title='Graph One')

        # plt.show()
        return fig, ax

    # This def creates the second matplotlib graph that uses subplot
    # to place two graphs one on top of the other
    def graph_four(self):
        x1 = np.linspace(0.0, 5.0)
        y1 = np.cos(2 * np.pi * x1) * np.exp(-x1)
        fig = plt.figure()
        ax = plt.subplot2grid((5, 4), (0, 0), rowspan=4, colspan=4)
        ax.plot(x1, y1, 'o-')

        means_men = (20, 35, 30, 35, 27)
        std_men = (2, 3, 4, 1, 2)
        ax2 = plt.subplot2grid((5, 4), (4, 0), sharex=ax, rowspan=1, 
colspan=4)
        ax2.bar(std_men, means_men, color='green', width=0.5, 
align='center')

        return fig, ax

    # this def takes graph one and embeds it in a tkinter widget
    def embed_graph_one(self):

        fig, ax = self.graph_one()

        canvas = FigureCanvasTkAgg(fig, self.master)  
        canvas.get_tk_widget().pack(side=TOP, fill=BOTH, expand=1)
        canvas.draw()

        canvas.mpl_connect("key_press_event", self.on_key_press)


        self.button = Button(self.master, text="Quit", 
command=self._quit)
        self.button.pack(side=BOTTOM)
        self.button_switch = Button(self.master, text="Switch Graphs", 
command=lambda: self.switch_graphs(canvas, fig, ax))
        self.button_switch.pack(side=BOTTOM)


    # This def takes the second graph and embeds it in a tkinter 
    # widget
    def embed_graph_two(self):

        fig, ax = self.graph_two()

        canvas = FigureCanvasTkAgg(fig, self.master)  
        canvas.draw()
        canvas.get_tk_widget().pack(side=TOP, fill=BOTH, expand=1)

        canvas.mpl_connect("key_press_event", self.on_key_press)


        self.button = Button(self.master, text="Quit", 
command=self._quit)
        self.button.pack(side=BOTTOM)
        self.button_switch = Button(self.master, text="Switch Graphs", 
command=lambda: self.switch_graphs(canvas, fig, ax))
        self.button_switch.pack(side=BOTTOM)

    # the def defines the key press event handler
    def on_key_press(event):
        key_press_handler(event, canvas, toolbar)

    # This def quits the tkinter widget 
    def _quit(self):
        self.master.quit()  # stops mainloop

    # This def switches between the two embedded graphs
    def switch_graphs(self, fig, canvas, ax):
        ax.clear()
        self.embed_graph_two()
        canvas.draw()




def main():
    root = Tk()
    matplotlibSwitchGraphs(root)
    root.mainloop()



if __name__ == '__main__':
    main()

这段代码仍然不会用第二张图代替第一张图，而只是将第二张图放在第一张图的下方。任何获取此代码以用第二个图形替换第一个图形的帮助将不胜感激。

我正在绘制的图形是OHLC烛台图和带有体积叠加的OHLC烛台图。不幸的是

self.canvas.draw()

draw_graph defs中的命令似乎在这里不适用。当我尝试显示图形时，我得到的只是一个空白图。这是我使用的绘制烛台图的代码。这将对应于draw_graph_one。

def ohlc_daily_date_axis(self, stock_sym):
    mondays = WeekdayLocator(MONDAY)  # major ticks on the mondays
    alldays = DayLocator()  # minor ticks on the days
    weekFormatter = DateFormatter('%b %d %Y')  # e.g., Jan 12 2018
    dayFormatter = DateFormatter('%d')  # e.g., 12

    quotes = get_stock_price_data_list_of_tuples(stock_sym)
    graph_header_text = 'Daily OHLC Candlestick Chart: ' + stock_sym + ' Date Range: ' + str(
        num2date(quotes[0][0]).date()) + ' - ' + str(num2date(quotes[-1][0]).date())

    if len(quotes) == 0:
        raise SystemExit

    self.fig, self.ax = plt.subplots(figsize=(18, 5))
    plt.subplots_adjust(bottom=0.2)
    self.ax.xaxis.set_major_locator(mondays)
    self.ax.xaxis.set_minor_locator(alldays)
    self.ax.xaxis.set_major_formatter(weekFormatter)
    # ax.xaxis.set_minor_formatter(dayFormatter)
    plt.title(graph_header_text)
    self.ax.set_ylabel('Share Price ($)', size=10)

    # plot_day_summary(ax, quotes, ticksize=3)
    candlestick_ohlc(self.ax, quotes, width=0.6)

    self.ax.xaxis_date()
    self.ax.autoscale_view()
    plt.setp(plt.gca().get_xticklabels(), rotation=45, horizontalalignment='right')
    self.ax.format_coord = self.get_ohlc_from_date_xy
    # ax.fmt_xdata = get_ohlc_from_date_x

    #plt.show()
    self.canvas.draw() 

我将如何修改它以使其显示数据？