如何重新绘制更新的数据，而不是从头开始清除整个图形和绘图？
（我不想要那样的https://jakevdp.github.io/blog/2012/08/18/matplotlib-animation-tutorial/）
到目前为止我的代码是这样的:(虽然，在这个例子中，我使用了一些我在Internet上找到的随机函数，而不是使用我正在使用的真实数据）
import matplotlib
matplotlib.use("TkAgg")
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
#from matplotlib.figure import Figure
import matplotlib.animation as animation
from matplotlib import style
from matplotlib import pyplot as plt
from matplotlib.lines import Line2D
import numpy as np
f = plt.Figure()
class SubplotAnimation(animation.TimedAnimation):
def __init__(self):
fig= plt.figure()
ax1 = fig.add_subplot(2, 1, 1)
par = ax1.twinx()
ax2 = fig.add_subplot(2, 1, 2)
par2 = ax2.twinx()
#********************** FUNCTIONS **************************************#
dt = 1
self.t = np.arange(0, 40, dt)
self.nse1 = np.random.randn(len(self.t)) # white noise 1
self.nse2 = np.random.randn(len(self.t)) # white noise 2
self.nse3 = np.random.randn(len(self.t)) # white noise 2
self.r = np.exp(-self.t/0.05)
cnse1 = np.convolve(self.nse1, self.r, mode='same')*dt # colored noise 1
cnse2 = np.convolve(self.nse2, self.r, mode='same')*dt # colored noise 2
cnse3 = np.convolve(self.nse3, self.r, mode='same')*dt # colored noise 2
# two signals with a coherent part and a random part
self.x = 0.01*np.sin(2*np.pi*10*self.t) + cnse1
self.y = 0.01*np.sin(2*np.pi*10*self.t) + cnse2
self.k = 0.01*np.sin(2*np.pi*10*self.t) + cnse3
self.z = 10 * self.t
ax1.set_xlabel('x')
ax1.set_ylabel('y')
par.set_ylabel("y2")
###################### LINES ############################
self.line1 = Line2D([], [], color='red', linewidth=2)
self.line1a = Line2D([], [], color='black', linewidth=1)
ax1.add_line(self.line1)
par.add_line(self.line1a)
ax1.set_xlim(0, 35)
ax1.set_ylim(-10, 10)
par.set_ylim(-10, 10)
ax2.set_xlabel('x')
ax2.set_ylabel('y')
par2.set_ylabel("y2")
###################### LINES ############################
self.line2 = Line2D([], [], color='black')
self.line2a = Line2D([], [], color='red')
self.line2b = Line2D([], [], color='grey')
ax2.add_line(self.line2)
par2.add_line(self.line2a)
par2.add_line(self.line2b)
ax2.set_xlim(0, 35)
ax2.set_ylim(-0.5, 0.5)
par2.set_ylim(-0.3, 0.3)
animation.TimedAnimation.__init__(self, fig, interval=30, blit=True)
def _draw_frame(self, framedata):
i = framedata
self.line1.set_data(self.t[:i], self.x[:i])
self.line1a.set_data(self.t[:i], self.y[:i])
self.line2.set_data(self.t[:i], self.x[:i])
self.line2a.set_data(self.t[:i], self.y[:i])
self.line2b.set_data(self.t[:i], self.k[:i])
self._drawn_artists = [self.line1, self.line1a,
self.line2, self.line2a, self.line2b]
def new_frame_seq(self):
return iter(range(self.t.size))
def _init_draw(self):
lines = [self.line1, self.line1a,
self.line2, self.line2a, self.line2b]
for l in lines:
l.set_data([], [])
ani = SubplotAnimation()
plt.show()
答案 0 :(得分：0)
所以我有点解决了这个问题，但我也更改了代码......看看我的新代码，让我知道你是否有任何建议让它看起来更好： （您可能会在代码中找到未使用的内容，但因为我试图简化代码并删除一些代码等等）
import matplotlib
matplotlib.use("TkAgg") #the back-end of matplotlib
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
import Tkinter as tk
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib.lines import Line2D
from matplotlib import style
ROTOR_SPEED = 100
PUMP_STATUS = False
LARGE_FONT = ("Verdana", 12)
NORM_FONT = ("Verdana", 10)
SMALL_FONT = ("Verdana", 8)
style.use("ggplot")
fig = plt.figure()
fig.set_size_inches(10, 7)
top_graph = plt.subplot2grid((2, 2), (0, 0), colspan=2)
line1 = Line2D([], [], color='black')
line2 = Line2D([], [], color='red', linewidth=2)
top_graph.add_line(line1)
top_graph.set_xlim(0, 24)
top_graph.set_ylim(-20, 20)
top_graph.set_aspect('equal', 'datalim')
line, = top_graph.plot([], [], lw=1)
line2, = top_graph.plot([], [], lw=3)
xdata, ydata = [], []
xline, yline = [], []
def data_gen():
t = data_gen.t
cnt = 0
height = 15
while cnt < 1000:
yield t, np.sin(2 * np.pi * t / 10.), 2*[t]*(height), range(-height, height)
cnt+=1
t += 0.05
data_gen.t = 0
def run(data):
# update the data
t, y, t2, rang = data
repeats = t//24
run.index = int(round(t%24.0/0.05))
if len(xdata) <= run.index:
xdata.append(t)
ydata.append(y)
xline = t2
yline = rang
else:
xdata[run.index] = t - (24 * repeats)
ydata[run.index] = y
xline = map(lambda (a, b): a-b, zip(t2, [24*repeats]*len(t2)))
yline = rang
line.set_data(xdata, ydata)
line2.set_data(xline, yline)
line2.set_color('white')
return line, line2
run.index = 1
class MainPage(tk.Tk):
def __init__(self, *args, **kwargs):
tk.Tk.__init__(self, *args, **kwargs)
container = tk.Frame(self)
container.pack(side="top", fill="both", expand = True)
container.grid_rowconfigure(0, weight=1)
container.grid_columnconfigure(0, weight=1)
#********** FRAMES*******#
self.frames = {} #empty..
frame = GraphPage(container, self)
self.frames[GraphPage] = frame
frame.grid(row=0, column=0, sticky="nsew")
self.show_frame(GraphPage)
def show_frame(self, cont):
frame = self.frames[cont]
frame.tkraise()
class GraphPage(tk.Frame):
def __init__(self, parent, controller):
tk.Frame.__init__(self,parent)
label = tk.Label(self, text="Example", font=LARGE_FONT)
label.grid(row=0, column=0, sticky='N')
canvas = FigureCanvasTkAgg(fig, self)
canvas.show()
canvas.get_tk_widget().grid(row=1, column=0, rowspan=6, columnspan=3, sticky='NSEW')
app = MainPage()
app.geometry("980x640")
ani = animation.FuncAnimation(fig, run, data_gen, blit=True, interval=20,
repeat=False)
app.mainloop()