[英]Why are my plots not appearing with set_data using Tkinter?
我正在嘗試改進我的繪圖功能。 我想使用來自 EEG 板的plotGraph
函數實時繪制數據,從 LSL @ 250Hz 中提取樣本。 以前,我有一個使用常規self.ax.plot(x,y)
的功能版本self.ax.plot(x,y)
每次繪圖需要刷新時都使用self.ax.clear()
清除數據。 盡管如此,一些分析表明,與其余代碼相比,我的代碼花費了太多時間來繪制。
我得到的建議之一是使用set_data
而不是 plot 和 clear。 我有多行數據要同時繪制,因此我嘗試遵循Matplotlib 多條動畫多行,您可以在下面看到(改編代碼)。 另外,有人告訴我使用self.figure.canvas.draw_idle()
,我試過了,但我不確定我是否正確。
不幸的是,它沒有用,圖表沒有更新,我似乎找不到原因。 我知道我剛才提到的來源使用animation.FuncAnimation
但我不確定這會是問題所在。 是嗎?
關於為什么我的畫布圖表中沒有顯示任何線條的任何想法?
import tkinter as tk
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import numpy as np
class AppWindow:
def plotGraph(self, x, y):
for lnum,line in enumerate(self.lines):
line.set_data(x[:], y[:, lnum])
self.figure.canvas.draw_idle()
plt.ylabel('Magnitude', fontsize = 9, color = tx_color)
plt.xlabel('Freq', fontsize = 9, color = tx_color)
self.figure.canvas.draw()
def __init__(self):
self.root = tk.Tk() #start of application
self.canvas = tk.Canvas(self.root, height = 420, width = 780, bg =
bg_color, highlightthickness=0)
self.canvas.pack(fill = 'both', expand = True)
self.figure = plt.figure(figsize = (5,6), dpi = 100)
self.figure.patch.set_facecolor(sc_color)
self.ax = self.figure.add_subplot(111)
self.ax.clear()
self.line, = self.ax.plot([], [], lw=1, color = tx_color)
self.line.set_data([],[])
#place graph
self.chart_type = FigureCanvasTkAgg(self.figure, self.canvas)
self.chart_type.get_tk_widget().pack()
self.lines = []
numchan = 8 #let's say I have 8 channels
for index in range(numchan):
lobj = self.ax.plot([],[], lw=2, color=tx_color)[0]
self.lines.append(lobj)
for line in self.lines:
line.set_data([],[])
def start(self):
self.root.mainloop()
您的圖表是空的,因為您正在繪制空數組:
line.set_data([],[])
如果您填寫線數組,圖表繪制正確。
試試這個代碼。 它每秒用新的隨機數據更新圖表。
import tkinter as tk
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import numpy as np
import random
bg_color='grey'
tx_color='green'
sc_color='linen'
numchan = 8
chlen = 100
xvals=[(x-40)/20 for x in range(chlen)] # X coordinates
chcolors= ['gold','blue','green','maroon','red','brown','purple','cyan']
class AppWindow:
def plotGraph(self):
self.figure.canvas.draw_idle()
plt.ylabel('Magnitude', fontsize = 9, color = tx_color)
plt.xlabel('Freq', fontsize = 9, color = tx_color)
self.figure.canvas.draw()
def UpdateChannelData(self): # callback with new data
# fake random data
for i,ch in enumerate(self.chdata):
for p in range(len(ch)):
ch[p] += (random.random()-.5)/100
self.lines[i].set_data(xvals, ch)
self.plotGraph()
self.root.after(100, self.UpdateChannelData) # simulate next call
def __init__(self):
global chzero
self.root = tk.Tk() #start of application
self.canvas = tk.Canvas(self.root, height = 420, width = 780, bg = bg_color, highlightthickness=0)
self.canvas.pack(fill = 'both', expand = True)
self.figure = plt.figure(figsize = (5,6), dpi = 100)
self.figure.patch.set_facecolor(sc_color)
self.ax = self.figure.add_subplot(111)
self.ax.clear()
self.line, = self.ax.plot([], [], lw=1, color = tx_color)
self.line.set_data([],[])
#place graph
self.chart_type = FigureCanvasTkAgg(self.figure, self.canvas)
self.chart_type.get_tk_widget().pack()
self.lines = []
#numchan = 8 #let's say I have 8 channels
for index in range(numchan):
lobj = self.ax.plot([],[], lw=1, color=chcolors[index])[0]
self.lines.append(lobj)
# set flat data
self.chdata = [[0 for x in range(chlen)] for ch in range(numchan)]
self.root.after(1000, self.UpdateChannelData) # start data read
def start(self):
self.root.mainloop()
AppWindow().start()
輸出:
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