我正试图创建一个动画图，用串行端口的数据实时更新。数据由一个8x8阵列中的Arduino流式传输。数据是来自红外相机的温度。我可以创建一个图形的实例，但无法使用串行流数据更新文本。
我试图设置"plt.show(block=False("，以便脚本继续，但这会使图形完全为空，并将其缩放到一个小窗口中，该窗口带有一个加载光标，该光标将继续加载。
我只想用数组数据以及新规范化数据中的颜色来更新文本。
如何使用matplotlib中的串行数据更新文本？
谢谢！
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import serial
import time
tempdata = serial.Serial("COM3",9600)
tempdata.timeout = 100
strn = []
rows = ["A", "B", "C", "D",
"E", "F", "G","H"]
columns = ["1", "2", "3", "4",
"5", "6", "7","8"]
print("AMG8833 8x8 Infrared Camera")
time.sleep(0.75)
print("Connected to: " + tempdata.portstr)
time.sleep(0.75)
print("Initializing Camera...")
tempsArray = np.empty((8,8))
while True: #Makes a continuous loop to read values from Arduino
fig, ax = plt.subplots()
im = ax.imshow(tempsArray,cmap='plasma')
tempdata.flush()
strn = tempdata.read_until(']') #reads the value from the serial port as a string
tempsString = np.asarray(strn)
tempsFloat = np.fromstring(tempsString, dtype=float, sep= ', ')
# Axes ticks
ax.set_xticks(np.arange(len(columns)))
ax.set_yticks(np.arange(len(rows)))
# Axes labels
ax.set_xticklabels(columns)
ax.set_yticklabels(rows)
# Rotate the tick labels and set their alignment.
plt.setp(ax.get_xticklabels(), rotation=45, ha="right",
rotation_mode="anchor")
tempsArray.flat=tempsFloat
im.set_array(tempsArray)
ax.set_title("")
fig.tight_layout()
#Loop over data dimensions and create text annotations.
for i in range(len(rows)):
for j in range(len(columns)):
text = ax.text(j, i, tempsArray[i, j],
ha="center", va="center", color="w")
plt.show()
热量图
这种动态更新可以通过matplotlib的交互模式来实现。您的问题的答案与此非常相似：基本上，您需要使用ion()启用交互模式，然后更新绘图，而无需调用show()(或相关(函数。此外，在输入循环之前，绘图和子绘图只能创建一次。
这是修改后的示例：
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import serial
import time
tempdata = serial.Serial("COM3",9600)
tempdata.timeout = 100
strn = []
rows = ["A", "B", "C", "D",
"E", "F", "G","H"]
columns = ["1", "2", "3", "4",
"5", "6", "7","8"]
print("AMG8833 8x8 Infrared Camera")
time.sleep(0.75)
print("Connected to: " + tempdata.portstr)
time.sleep(0.75)
print("Initializing Camera...")
tempsArray = np.empty((8,8))
plt.ion()
fig, ax = plt.subplots()
# The subplot colors do not change after the first time
# if initialized with an empty matrix
im = ax.imshow(np.random.rand(8,8),cmap='plasma')
# Axes ticks
ax.set_xticks(np.arange(len(columns)))
ax.set_yticks(np.arange(len(rows)))
# Axes labels
ax.set_xticklabels(columns)
ax.set_yticklabels(rows)
# Rotate the tick labels and set their alignment.
plt.setp(ax.get_xticklabels(), rotation=45, ha="right",
rotation_mode="anchor")
ax.set_title("")
fig.tight_layout()
text = []
while True: #Makes a continuous loop to read values from Arduino
tempdata.flush()
strn = tempdata.read_until(']') #reads the value from the serial port as a string
tempsString = np.asarray(strn)
tempsFloat = np.fromstring(tempsString, dtype=float, sep= ', ')
tempsArray.flat=tempsFloat
im.set_array(tempsArray)
#Delete previous annotations
for ann in text:
ann.remove()
text = []
#Loop over data dimensions and create text annotations.
for i in range(len(rows)):
for j in range(len(columns)):
text.append(ax.text(j, i, tempsArray[i, j],
ha="center", va="center", color="w"))
# allow some delay to render the image
plt.pause(0.1)
plt.ioff()
注意：这段代码对我有效，但由于我现在没有Arduino，我用随机生成的帧序列(np.random.rand(8,8,10)(对它进行了测试，所以我可能忽略了一些细节。让我知道它是如何工作的。