我的设备连接到我的串口，我需要轮询它们然后在绘图中显示这些数据。我目前使用matplotlib工作（慢慢地）。我最多可以连接64个设备，每个设备可以有20个数据要更新。我已经进行了设置，以便可以创建一个新窗口并添加一些数据进行绘制。打开每个额外的绘图窗口后，我的更新速率会大大降低 我尝试在matplotlib中使用blit动画，但它并不是很顺利，我可以在更新中看到异常。我已经尝试过PyQtGraph，但找不到任何关于如何使用这个包的文档，现在我正在尝试PyQwt，但是无法安装它（主要是因为我的公司不会让我们安装一个包处理.gz文件）。 任何想法或建议将不胜感激。
import sys
from PyQt4.QtCore import (Qt, QModelIndex, QObject, SIGNAL, SLOT, QTimer, QThread, QSize, QString, QVariant)
from PyQt4 import QtGui
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from plot_toolbar import NavigationToolbar2QT as NavigationToolbar
import matplotlib.dates as md
import psutil as p
import time
import datetime as dt
import string
import ui_plotting
import pickle
try:
_fromUtf8 = QString.fromUtf8
except AttributeError:
_fromUtf8 = lambda s: s
class Monitor(FigureCanvas):
"""Plot widget to display real time graphs"""
def __init__(self, timenum):
self.timenum=timenum
self.main_frame = QtGui.QWidget()
self.timeTemp1 = 0
self.timeTemp2 = 0
self.temp = 1
self.placeHolder = []
self.y_max = 0
self.y_min = 100
# initialization of the canvas
# self.dpi = 100
# self.fig = Figure((5.0, 4.0), dpi=self.dpi)
self.fig = Figure()
FigureCanvas.__init__(self, self.fig)
# self.canvas = FigureCanvas(self.fig)
# self.canvas.setParent(self.main_frame)
# first image setup
# self.fig = Figure()
# self.fig.subplots_adjust(bottom=0.5)
self.ax = self.fig.add_subplot(111)
self.mpl_toolbar = NavigationToolbar(self.fig.canvas, self.main_frame,False)
self.mpl_toolbar.setFixedHeight(24)
# set specific limits for X and Y axes
# now=dt.datetime.fromtimestamp(time.mktime(time.localtime()))
# self.timenum = now.strftime("%H:%M:%S.%f")
self.timeSec = 0
self.x_lim = 100
self.ax.set_xlim(0, self.x_lim)
self.ax.set_ylim(0, 100)
self.ax.get_xaxis().grid(True)
self.ax.get_yaxis().grid(True)
# and disable figure-wide autoscale
self.ax.set_autoscale_on(False)
self.ax.set_xlabel('Time in Seconds')
# generates first "empty" plots
self.timeb = []
self.user = []
self.l_user = []
self.l_user = [[] for x in xrange(50)]
for i in range(50):
self.l_user[i], = self.ax.plot(0,0)
# add legend to plot
# self.ax.legend()
def addTime(self,t1,t2):
timeStamp = t1+"000"
# print "timeStamp",timeStamp
timeStamp2 = t2+"000"
test = string.split(timeStamp,":")
test2 = string.split(test[2],".")
testa = string.split(timeStamp2,":")
testa2 = string.split(testa[2],".")
sub1 = int(testa[0])-int(test[0])
sub2 = int(testa[1])-int(test[1])
sub3 = int(testa2[0])-int(test2[0])
sub4 = int(testa2[1])-int(test2[1])
testing = dt.timedelta(hours=sub1,minutes=sub2,seconds=sub3,microseconds=sub4)
self.timeSec = testing.total_seconds()
def timerEvent(self, evt, timeStamp, val, lines):
temp_min = 0
temp_max = 0
# Add user arrays for each user_l array used, don't reuse user arrays
if self.y_max<max(map(float, val)):
self.y_max = max(map(float, val))
if self.y_min>min(map(float, val)):
self.y_min = min(map(float, val))
# print "val: ",val
if lines[len(lines)-1]+1 > len(self.user):
for k in range((lines[len(lines)-1]+1)-len(self.user)):
self.user.append([])
# append new data to the datasets
# print "timenum=",self.timenum
self.addTime(self.timenum, timeStamp)
self.timeb.append(self.timeSec)
for j in range((lines[len(lines)-1]+1)):
if j >49:
break
if j not in lines:
del self.user[j][:]
self.user[j].extend(self.placeHolder)
self.user[j].append(0)
else:
if len(self.timeb) > (len(self.user[j])+1):
self.user[j].extend(self.placeHolder)
self.user[j].append(str(val[lines.index(j)]))
for i in range(len(lines)):
if i>49:
break
self.l_user[lines[i]].set_data(self.timeb, self.user[lines[i]])
# force a redraw of the Figure
# if self.y_max < 2:
# self.y_max = 2
# if self.y_min < 2:
# self.y_min = 0
if self.y_min > -.1 and self.y_max < .1:
temp_min = -1
temp_max = 1
else:
temp_min = self.y_min-(self.y_min/10)
temp_max = self.y_max+(self.y_max/10)
self.ax.set_ylim(temp_min, temp_max)
if self.timeSec >= self.x_lim:
if str(self.x_lim)[0]=='2':
self.x_lim = self.x_lim * 2.5
else:
self.x_lim = self.x_lim * 2
self.ax.set_xlim(0, self.x_lim)
# self.fig.canvas.restore_region(self.fig.canvas)
# self.ax.draw_artist(self.l_user[lines[0]])
# self.fig.canvas.blit(self.ax.bbox)
self.fig.canvas.draw()
# self.draw()
self.placeHolder.append(None)
class List(QtGui.QListWidget):
def __init__(self, parent):
super(List, self).__init__(parent)
font = QtGui.QFont()
font.setFamily(_fromUtf8("Century Gothic"))
font.setPointSize(7)
self.setFont(font)
self.setDragDropMode(4)
self.setAcceptDrops(True)
self.row = []
self.col = []
self.disName = []
self.lines = []
self.counter = 0
self.setStyleSheet("background-color:#DDDDDD")
self.colors = ["blue", "green", "red", "deeppink", "black", "slategray", "sienna", "goldenrod", "teal", "orange", "orchid", "lightskyblue", "navy", "darkgreen", "indigo", "firebrick", "deepskyblue", "lightskyblue", "darkseagreen", "gold"]
def dragEnterEvent(self, e):
if e.mimeData().hasFormat("application/x-qabstractitemmodeldatalist"):
# print "currentRow : ", self.currentRow()
# print "self.col: ", self.col
# print "self.row: ", self.row
# print "self.col[]: ", self.col.pop(self.currentRow())
# print "self.row[]: ", self.row.pop(self.currentRow())
self.col.pop(self.currentRow())
self.row.pop(self.currentRow())
self.disName.pop(self.currentRow())
self.lines.pop(self.currentRow())
self.takeItem(self.currentRow())
if e.mimeData().hasFormat("application/pubmedrecord"):
e.accept()
else:
e.ignore()
def dropEvent(self, e):
items = 0
data = e.mimeData()
bstream = data.retrieveData("application/pubmedrecord", QVariant.ByteArray)
selected = pickle.loads(bstream.toByteArray())
e.accept()
# print selected
# if self.count() != 0:
# j = (self.lines[self.count()-1]%len(self.colors))+1
# else:
# j=0
while items < len(selected):
j=self.counter
if j >= len(self.colors)-1:
j = self.counter%len(self.colors)
m = len(self.lines)
self.lines.append(self.counter)
# if m != 0:
# n = self.lines[m-1]
# self.lines.append(n+1)
# else:
# self.lines.append(0)
self.col.append(str(selected[items]))
items = items+1
self.row.append(str(selected[items]))
items = items+1
self.disName.append(str(selected[items]))
listItem = QtGui.QListWidgetItem()
listItem.setText(str(selected[items]))
listItem.setTextColor(QtGui.QColor(self.colors[j]))
self.addItem(listItem)
items = items+1
self.counter += 1
def dragLeaveEvent(self, event):
event.accept()
class PlotDlg(QtGui.QDialog):
NextID = 0
filename = 'Plot'
def __init__(self,time, callback, parent=None):
super(PlotDlg, self).__init__(parent)
self.id = PlotDlg.NextID
PlotDlg.NextID += 1
self.callback = callback
self.setWindowFlags(Qt.Window | Qt.WindowMinimizeButtonHint | Qt.WindowMaximizeButtonHint)
self.setAttribute(Qt.WA_DeleteOnClose,True)
self.value = []
print "time=",time
self.time = time
self.dc = Monitor(self.time)
# self.threadPool = []
self.listWidget = List(self)
sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Fixed, QtGui.QSizePolicy.MinimumExpanding)
sizePolicy.setHorizontalStretch(0)
self.listWidget.setSizePolicy(sizePolicy)
self.listWidget.setMaximumSize(QSize(150, 16777215))
grid = QtGui.QGridLayout()
grid.setSpacing(0)
grid.setContentsMargins(0, 0, 0, 0)
grid.addWidget(self.dc.mpl_toolbar,0,0,1,12)
grid.addWidget(self.listWidget,1,1)
grid.addWidget(self.dc,1,0)
grid.setColumnMinimumWidth(1,110)
self.setLayout(grid)
def update(self, clear=0):
if clear == 1:
now=dt.datetime.fromtimestamp(time.mktime(time.localtime()))
self.dc.timenum = now.strftime("%H:%M:%S.%f")
self.dc.timeSec = 0
self.dc.x_lim = 100
self.dc.y_max = 0
self.dc.y_min = 100
del self.dc.timeb[:]
del self.dc.user[:]
del self.dc.placeHolder[:]
# del self.dc.l_user[:]
# self.dc.l_user = [[] for x in xrange(50)]
# for i in range(50):
# self.dc.l_user[i], = self.dc.ax.plot(0,0)
for i in range(50):
self.dc.l_user[i].set_data(0, 0)
# print self.dc.l_user
# print self.dc.user
self.dc.ax.set_xlim(0, self.dc.x_lim)
self.dc.fig.canvas.draw()
# print self.value
# print str(self.time)
# print "time:",str(self.time)
# self.threadPool.append( GenericThread(self.dc.timerEvent,None, str(self.time), self.value, self.listWidget.lines) )
# self.threadPool[len(self.threadPool)-1].start()
self.dc.timerEvent(None, str(self.time), self.value, self.listWidget.lines)
def closeEvent(self, event):
# self.update(1)
self.callback(self.id)
PlotDlg.NextID -= 1
class GenericThread(QThread):
def __init__(self, function, *args, **kwargs):
QThread.__init__(self)
self.function = function
self.args = args
self.kwargs = kwargs
def __del__(self):
self.wait()
def run(self):
self.function(*self.args,**self.kwargs)
return
答案 0 :(得分：18)
pyqtgraph website对绘图库进行了比较，包括matplotlib，chaco和pyqwt。摘要是：
答案 1 :(得分：6)
我已经广泛使用了matplotlib和PyQtGraph以及任何类型的快速或“实时”绘图我强烈推荐PyQtGraph，（在一个应用程序中，我通过12的串行连接从惯性传感器绘制数据流每个以1 kHz进入的32位浮点数并且没有明显的滞后。）
正如前面提到的那样，PyQtGraph的安装是微不足道的，根据我的经验，它在窗口和Linux上大致相当地显示和执行（减去窗口管理器的差异），并且在所包含的示例中有大量的演示代码来指导完成几乎所有数据绘图任务。
PyQtGraph的Web文档无疑是不可取的，但是源代码评论很好且易于阅读，将其与详细记录和各种演示代码相结合，根据我的经验，它在易用性方面远远超过matplotlib和性能（即使有更广泛的matplotlib在线文档）。
答案 2 :(得分：3)
我建议Chaco“......用于构建交互式和自定义2-D图和可视化的软件包。”它可以集成到Qt应用程序中，但你可以从PyQwt获得更高的帧速率。
我实际上用它来写一个“应用程序”（这个太大了：它不是很花哨，它都适合~200 LOC）从串口获取数据并绘制它（20行以上）我的笔记本电脑全屏显示20 fps，50 at 15 fps。
Chaco文档或在线帮助并不像matplotlib那样全面，但我想它会有所改进，无论如何它对我来说已经足够了。
作为一般建议，避免在每一帧都绘制所有内容，即在matplotlib和chaco中使用.set_data方法。另外，在stackoverflow中有一些关于使matplotlib更快的问题。
答案 3 :(得分：0)
以下是使用动画功能的方法：
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
fig, ax = plt.subplots()
data = np.zeros((32,100))
X = np.arange(data.shape[-1])
# Generate line plots
lines = []
for i in range(len(data)):
# Each plot each shifter upward
line, = ax.plot(X,i+data[i], color=".75")
lines.append(line)
# Set limits
ax.set_ylim(0,len(data))
ax.set_xlim(0,data.shape[-1]-1)
# Update function
def update(*args):
# Shift data left
data[:,:-1] = data[:,1:]
# Append new values
data[:,-1] = np.arange(len(data))+np.random.uniform(0,1,len(data))
# Update data
for i in range(len(data)):
lines[i].set_ydata(data[i])
ani = animation.FuncAnimation(fig, update,interval=10)
plt.show()