matplotlib 仅绘制到最后一张图

Question

我对 python 很陌生，所以我确信我的代码看起来有点简单。我有一个真空室，可以通过 TCP 命令与之通信。我现在的目标是在一张图上绘制压力，在另一张图上绘制热电偶温度。我能够很好地沟通并很好地读回数据，并且我可以将实时数据绘制到第二个图表，但是当我尝试将数据绘制到第一个图表时，它没有显示。

import socket
import sys
import time
import binascii 
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import animation
from matplotlib.animation import FuncAnimation
from datetime import datetime
matplotlib.use('Qt5Agg')

#TVAC IP and Port
target_host = "10.1.2.101"
target_port = 1

print()

#trying to open a TCP socket
try:
    client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    client.connect((target_host,target_port))
except socket.error:
    print("Socket Not Created!  ¯\(°_o)/¯")
    sys.exit()
print("Socket Created   (⌐⊙_⊙)")
print()
print("Socket Connected To " + target_host)
print()

time.sleep(2)

Pressure, TC0, TC1, TC2, TC3, TC4, TC5, TC6, TC7 = "?VP", "?T2", "?T12", "?T13", "?T14", "?T15", "?T16", "?T17", "?T18"

#carriage return
CR = "\r"

def TVAC(cmd):

    try:
        #send command and receive data ex/ VP:3.23e-07\r
        client.send(bytes(cmd + CR  + '\0','ascii'))
        response = client.recv(1024).decode('ascii')
        if (cmd == '?VP'):
            response4 = float(response[3:-1])
            response5 = format(response4, '.000000000008f')
        else:
            response2 = response[5:-1]
            response3 = float(response2)
            response5 = np.divide(response3, 10)
        response6 = float(response5)
        print(response6)
        
    except socket.error:
        print("Failed to send command")
    return response6

#animate the data on a plot graph

fig = plt.figure()
axis1 = fig.add_subplot(211)
axis2 = fig.add_subplot(212)

#figure, (axis1, axis2) = plt.subplots(2)

x_data, y_data = [], []
x_data1, y_data2, y_data3, y_data4, y_data5, y_data6, y_data7, y_data8, y_data9 = [], [], [], [], [], [], [], [], []

line1, = axis1.plot_date(x_data, y_data, "-", color='red')
line2, = axis2.plot_date(x_data1, y_data2, "-", color='blue')
line3, = axis2.plot_date(x_data1, y_data3, "-", color='green')
line4, = axis2.plot_date(x_data1, y_data4, "-", color='purple')
line5, = axis2.plot_date(x_data1, y_data5, "-", color='yellow')
line6, = axis2.plot_date(x_data1, y_data6, "-", color='black')
line7, = axis2.plot_date(x_data1, y_data7, "-", color='orange')
line8, = axis2.plot_date(x_data1, y_data8, "-", color='grey')
line9, = axis2.plot_date(x_data1, y_data9, "-", color='red')
line = [line1, line2, line3, line4, line5, line6, line7, line8, line9]

axis1.grid(axis = 'y')
axis2.grid(axis = 'y')

def update(frame):

    xdata = datetime.now()
    xdata1 = datetime.now()
 
    ydata = TVAC(Pressure)
    ydata1 = TVAC(TC0)
    ydata2 = TVAC(TC1)
    ydata3 = TVAC(TC2)
    ydata4 = TVAC(TC3)
    ydata5 = TVAC(TC4)
    ydata6 = TVAC(TC5)
    ydata7 = TVAC(TC6)
    ydata8 = TVAC(TC7)
 
    x_data.append(xdata)
    x_data1.append(xdata1)
    
    y_data.append(ydata)
    y_data2.append(ydata1)
    y_data3.append(ydata2)
    y_data4.append(ydata3)
    y_data5.append(ydata4)
    y_data6.append(ydata5)
    y_data7.append(ydata6)
    y_data8.append(ydata7)
    y_data9.append(ydata8)
    
    #axis1.plot(x_data, y_data)
    
    line[0].set_data(x_data, y_data)
    line[1].set_data(x_data1, y_data2)
    line[2].set_data(x_data1, y_data3)
    line[3].set_data(x_data1, y_data4)
    line[4].set_data(x_data1, y_data5)
    line[5].set_data(x_data1, y_data6)
    line[6].set_data(x_data1, y_data7)
    line[7].set_data(x_data1, y_data8)
    line[8].set_data(x_data1, y_data9)
  
    axis1.set_title("Pressure")
    axis2.set_title("Temperature")
    
    fig.gca().relim()
    axis1.ticklabel_format(axis='y',style='sci',scilimits=(0,0))
    axis2.ticklabel_format(axis='y',style='plain',scilimits=(0,0))
    fig.gca().autoscale_view()
 
    return line,

anim = FuncAnimation(fig, update, cache_frame_data=False)
plt.show()

我已更改代码以显示 3 个图表，以证明这只是我可以绘制的最后一个图表，而且情况似乎确实如此。我确信这是一个简单的修复，但我现在完全陷入困境。任何帮助将不胜感激，谢谢！

Answer 1

由于我们没有您要绘制的数据，因此很难进行故障排除。使用随机生成的数据重写将使绘图故障排除更加容易。

这是我认为您正在尝试做的事情的最小娱乐。

import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import numpy as np

fig = plt.figure()
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)


def update(frame):
    
    # '10' here is # of points to start w/;
    # frame increments by 1 every loop - plotting more data.
    x_data = np.arange(10+frame)
    
    # sets fixed seed, generates random 'pressure' data
    np.random.seed(0)
    p_data = np.random.rand(10+frame)
    
    # sets fixed seed, generates random 'temp' data.
    np.random.seed(1)
    tc_data = np.random.rand(10+frame)
    
    # plots data on two subplots
    ax1.plot(x_data, p_data)
    ax2.plot(x_data, tc_data)


anim = FuncAnimation(fig, update)
plt.show()

MatPlotLib 的动画文档（看起来您已经阅读过，但对于将来的任何人）：https://matplotlib.org/stable/users/explain/animations/animations.html