使用 Matplotlib FuncAnimation 绘制信号数据和缺少信息的跳帧
Plot signal data and skip frame with missing information using Matplotlib FuncAnimation
我正在模仿获取数据流，其中不是每个“消息”行都有我想在实时模式下绘制的信息。由于仍将读取每一行，我如何才能跳过一个迭代（帧）并因此跳过 1 帧的绘图更新，直到 returns 数据出现的下一次迭代。我的代码具有以下结构：
fig, ax = plt.subplots()
line, = ax.plot([], [])
lap_stat = []
file = open(path + 'file.log', 'r')
def update(lap_stat):
#Plot lap number on x-axis, lap time on y-axis from lap_stat list that
#contains a tuple
line.set_data(lap_stat[0], lap_stat[1])
return line,
def data_gen():
while True:
line = file.readline()
#Get data from line
#Apply conditions, if line doesn't contain relevant information nothing happens
#If data is present in line, save data as tuple [lap, lap_time] to lap_stat
yield lap_stat
ani = FuncAnimation(fig, update, data_gen, interval=100, blit=True)
plt.show()
并非每一行都有相关信息，因此如果在当前帧没有附加信息，更新（lap_stat）函数的输入列表为空，则不会绘制任何内容并且进程会终止。如何修改我的代码以仅在返回时绘制信息？绘制 0 也不是一个选项，如果我绘制第 0-10 圈的单圈时间，然后下一个数据点是第 15 圈，我希望第 10 圈的点连接到第 15 点。希望它成功，谢谢！
你让我汗流浃背，我认为这不是解决问题的正确方法，但考虑到你的布局，我的工作如下：
输入文件file.log:
1 10
2 20
3 10
4 50
5 80
6 10
7 70
8
9
10 55
11 40
12 66
我的代码：
import matplotlib.animation as animation #to save animation
from matplotlib.animation import FuncAnimation
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.set_xlim([0,12])
ax.set_ylim([0,100])
line, = ax.plot([],[], marker="o", markersize=10,markeredgecolor="red", markerfacecolor="green")
path = ''
file = open(path + 'file.log', 'r')
def zero():
line = ax.plot(0,0)
return line
def update(lap_stat):
#Plot lap number on x-axis, lap time on y-axis from lap_stat list that
#contains a tuple
line.set_data(lap_stat[0], lap_stat[1])
return line,
def data_gen():
line = 'pippo'
while line:
line = file.readline()
print('line : ', line)
try:
lap_stat = (int(line.split()[0]),int( line.split()[1]))
print('lap_stat : ', lap_stat)
#Get data from line
#Apply conditions, if line doesn't contain relevant information nothing happens
#If data is present in line, save data as tuple [lap, lap_time] to lap_stat
yield lap_stat
except:
continue
ani = FuncAnimation(fig, update, data_gen(), init_func=zero , interval=2000, blit=True)
# ani = FuncAnimation(fig, update, data_gen(), interval=1000) # need first frame, doesnt clear previous points
# ani.save('animation.gif' , writer=animation.PillowWriter(fps=1)) #save animation
plt.show()
输出：
根据 OP，修改相同输入的代码以获得以下动画：
import matplotlib.animation as animation #to save animation
from matplotlib.animation import FuncAnimation
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.set_xlim([0,1])
ax.set_ylim([0,1])
line, = ax.plot([],[], marker="o", markersize=10,markeredgecolor="red", markerfacecolor="green")
path = ''
file = open(path + 'file.log', 'r')
def zero():
line = ax.plot(0,0)
return line
x_points = [0]
y_points = [0]
def update(lap_stat):
#Plot lap number on x-axis, lap time on y-axis from lap_stat list that
#contains a tuple
x_points.append(lap_stat[0])
y_points.append(lap_stat[1])
ax.set_xlim([0,max(x_points)])
ax.set_ylim([0,max(y_points)])
# line.set_data(lap_stat[0], lap_stat[1])
line.set_data(x_points, y_points)
print(x_points, y_points)
return line,
def data_gen():
line = 'pippo'
while line:
line = file.readline()
print('line : ', line)
try:
lap_stat = (int(line.split()[0]),int( line.split()[1]))
print('lap_stat : ', lap_stat)
#Get data from line
#Apply conditions, if line doesn't contain relevant information nothing happens
#If data is present in line, save data as tuple [lap, lap_time] to lap_stat
yield lap_stat
except:
continue
# ani = FuncAnimation(fig, update, data_gen(), init_func=zero , interval=2000, blit=True)
ani = FuncAnimation(fig, update, data_gen(), init_func=zero , interval=2000, blit=False, repeat = False)
# ani = FuncAnimation(fig, update, data_gen(), interval=1000) # need first frame, doesnt clear previous points
# ani.save('animation_line.gif' , writer=animation.PillowWriter(fps=1)) #save animation
plt.show()
print(x_points, y_points)
输出：
我正在模仿获取数据流，其中不是每个“消息”行都有我想在实时模式下绘制的信息。由于仍将读取每一行，我如何才能跳过一个迭代（帧）并因此跳过 1 帧的绘图更新，直到 returns 数据出现的下一次迭代。我的代码具有以下结构：
fig, ax = plt.subplots()
line, = ax.plot([], [])
lap_stat = []
file = open(path + 'file.log', 'r')
def update(lap_stat):
#Plot lap number on x-axis, lap time on y-axis from lap_stat list that
#contains a tuple
line.set_data(lap_stat[0], lap_stat[1])
return line,
def data_gen():
while True:
line = file.readline()
#Get data from line
#Apply conditions, if line doesn't contain relevant information nothing happens
#If data is present in line, save data as tuple [lap, lap_time] to lap_stat
yield lap_stat
ani = FuncAnimation(fig, update, data_gen, interval=100, blit=True)
plt.show()
并非每一行都有相关信息，因此如果在当前帧没有附加信息，更新（lap_stat）函数的输入列表为空，则不会绘制任何内容并且进程会终止。如何修改我的代码以仅在返回时绘制信息？绘制 0 也不是一个选项，如果我绘制第 0-10 圈的单圈时间，然后下一个数据点是第 15 圈，我希望第 10 圈的点连接到第 15 点。希望它成功，谢谢！
你让我汗流浃背，我认为这不是解决问题的正确方法，但考虑到你的布局，我的工作如下：
输入文件file.log:
1 10
2 20
3 10
4 50
5 80
6 10
7 70
8
9
10 55
11 40
12 66
我的代码：
import matplotlib.animation as animation #to save animation
from matplotlib.animation import FuncAnimation
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.set_xlim([0,12])
ax.set_ylim([0,100])
line, = ax.plot([],[], marker="o", markersize=10,markeredgecolor="red", markerfacecolor="green")
path = ''
file = open(path + 'file.log', 'r')
def zero():
line = ax.plot(0,0)
return line
def update(lap_stat):
#Plot lap number on x-axis, lap time on y-axis from lap_stat list that
#contains a tuple
line.set_data(lap_stat[0], lap_stat[1])
return line,
def data_gen():
line = 'pippo'
while line:
line = file.readline()
print('line : ', line)
try:
lap_stat = (int(line.split()[0]),int( line.split()[1]))
print('lap_stat : ', lap_stat)
#Get data from line
#Apply conditions, if line doesn't contain relevant information nothing happens
#If data is present in line, save data as tuple [lap, lap_time] to lap_stat
yield lap_stat
except:
continue
ani = FuncAnimation(fig, update, data_gen(), init_func=zero , interval=2000, blit=True)
# ani = FuncAnimation(fig, update, data_gen(), interval=1000) # need first frame, doesnt clear previous points
# ani.save('animation.gif' , writer=animation.PillowWriter(fps=1)) #save animation
plt.show()
输出：
根据 OP，修改相同输入的代码以获得以下动画：
import matplotlib.animation as animation #to save animation
from matplotlib.animation import FuncAnimation
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.set_xlim([0,1])
ax.set_ylim([0,1])
line, = ax.plot([],[], marker="o", markersize=10,markeredgecolor="red", markerfacecolor="green")
path = ''
file = open(path + 'file.log', 'r')
def zero():
line = ax.plot(0,0)
return line
x_points = [0]
y_points = [0]
def update(lap_stat):
#Plot lap number on x-axis, lap time on y-axis from lap_stat list that
#contains a tuple
x_points.append(lap_stat[0])
y_points.append(lap_stat[1])
ax.set_xlim([0,max(x_points)])
ax.set_ylim([0,max(y_points)])
# line.set_data(lap_stat[0], lap_stat[1])
line.set_data(x_points, y_points)
print(x_points, y_points)
return line,
def data_gen():
line = 'pippo'
while line:
line = file.readline()
print('line : ', line)
try:
lap_stat = (int(line.split()[0]),int( line.split()[1]))
print('lap_stat : ', lap_stat)
#Get data from line
#Apply conditions, if line doesn't contain relevant information nothing happens
#If data is present in line, save data as tuple [lap, lap_time] to lap_stat
yield lap_stat
except:
continue
# ani = FuncAnimation(fig, update, data_gen(), init_func=zero , interval=2000, blit=True)
ani = FuncAnimation(fig, update, data_gen(), init_func=zero , interval=2000, blit=False, repeat = False)
# ani = FuncAnimation(fig, update, data_gen(), interval=1000) # need first frame, doesnt clear previous points
# ani.save('animation_line.gif' , writer=animation.PillowWriter(fps=1)) #save animation
plt.show()
print(x_points, y_points)
输出：