Python/Matplotlib/Pyside快速时间追踪滚动
我有很大的时间痕迹，必须视觉检查，所以我需要一个快速滚动工具。Python/Matplotlib/Pyside快速时间追踪滚动
如何实现最快的Maplotlib/Pyside滚动？
我知道，我添加了一个PySide滚动条到MPL图中，并用set_xlim()方法更新了图的x范围。这个速度不够快，特别是因为在最终的应用程序中，我必须在不同的子图中至少有8个时间轨迹，它们必须全部滚动到一起。 A figure of the plot is attached。
是否有改进的余地？
在这里，我附上演示代码，演示相对较低的滚动。它很长，但几乎都是锅炉板代码。有趣的位（需要改进）在xpos_changed()方法中，绘图xlimits被改变。
编辑：下面我并入由tcaswell提出了一些微优化，但更新速度没有提高。
from PySide import QtGui, QtCore import pylab as plt
import numpy as np
N_SAMPLES = 1e6
def test_plot():
time = np.arange(N_SAMPLES)*1e-3
sample = np.random.randn(N_SAMPLES)
plt.plot(time, sample, label="Gaussian noise")
plt.title("1000s Timetrace \n (use the slider to scroll and the spin-box to set the width)")
plt.xlabel('Time (s)')
plt.legend(fancybox=True)
q = ScrollingToolQT(plt.gcf(), scroll_step=10)
return q # WARNING: it's important to return this object otherwise
# python will delete the reference and the GUI will not respond!
class ScrollingToolQT(object):
def __init__(self, fig, scroll_step=10):
# Setup data range variables for scrolling
self.fig = fig
self.scroll_step = scroll_step
self.xmin, self.xmax = fig.axes[0].get_xlim()
self.width = 1 # axis units
self.pos = 0 # axis units
self.scale = 1e3 # conversion betweeen scrolling units and axis units
# Save some MPL shortcuts
self.ax = self.fig.axes[0]
self.draw = self.fig.canvas.draw
#self.draw_idle = self.fig.canvas.draw_idle
# Retrive the QMainWindow used by current figure and add a toolbar
# to host the new widgets
QMainWin = fig.canvas.parent()
toolbar = QtGui.QToolBar(QMainWin)
QMainWin.addToolBar(QtCore.Qt.BottomToolBarArea, toolbar)
# Create the slider and spinbox for x-axis scrolling in toolbar
self.set_slider(toolbar)
self.set_spinbox(toolbar)
# Set the initial xlimits coherently with values in slider and spinbox
self.ax.set_xlim(self.pos,self.pos+self.width)
self.draw()
def set_slider(self, parent):
self.slider = QtGui.QSlider(QtCore.Qt.Horizontal, parent=parent)
self.slider.setTickPosition(QtGui.QSlider.TicksAbove)
self.slider.setTickInterval((self.xmax-self.xmin)/10.*self.scale)
self.slider.setMinimum(self.xmin*self.scale)
self.slider.setMaximum((self.xmax-self.width)*self.scale)
self.slider.setSingleStep(self.width*self.scale/4.)
self.slider.setPageStep(self.scroll_step*self.width*self.scale)
self.slider.setValue(self.pos*self.scale) # set the initial position
self.slider.valueChanged.connect(self.xpos_changed)
parent.addWidget(self.slider)
def set_spinbox(self, parent):
self.spinb = QtGui.QDoubleSpinBox(parent=parent)
self.spinb.setDecimals(3)
self.spinb.setRange(0.001,3600.)
self.spinb.setSuffix(" s")
self.spinb.setValue(self.width) # set the initial width
self.spinb.valueChanged.connect(self.xwidth_changed)
parent.addWidget(self.spinb)
def xpos_changed(self, pos):
#pprint("Position (in scroll units) %f\n" %pos)
pos /= self.scale
self.ax.set_xlim(pos, pos+self.width)
self.draw()
def xwidth_changed(self, width):
#pprint("Width (axis units) %f\n" % step)
if width <= 0: return
self.width = width
self.slider.setSingleStep(self.width*self.scale/5.)
self.slider.setPageStep(self.scroll_step*self.width*self.scale)
old_xlim = self.ax.get_xlim()
self.xpos_changed(old_xlim[0]*self.scale)
if __name__ == "__main__":
q = test_plot()
plt.show()
回答：
这似乎有点更快/更敏感：
from PySide import QtGui, QtCore import pylab as plt
import numpy as np
N_SAMPLES = 1e6
def test_plot():
time = np.arange(N_SAMPLES)*1e-3
sample = np.random.randn(N_SAMPLES)
plt.plot(time, sample, label="Gaussian noise")
plt.legend(fancybox=True)
plt.title("Use the slider to scroll and the spin-box to set the width")
q = ScrollingToolQT(plt.gcf())
return q # WARNING: it's important to return this object otherwise
# python will delete the reference and the GUI will not respond!
class ScrollingToolQT(object):
def __init__(self, fig):
# Setup data range variables for scrolling
self.fig = fig
self.xmin, self.xmax = fig.axes[0].get_xlim()
self.step = 1 # axis units
self.scale = 1e3 # conversion betweeen scrolling units and axis units
# Retrive the QMainWindow used by current figure and add a toolbar
# to host the new widgets
QMainWin = fig.canvas.parent()
toolbar = QtGui.QToolBar(QMainWin)
QMainWin.addToolBar(QtCore.Qt.BottomToolBarArea, toolbar)
# Create the slider and spinbox for x-axis scrolling in toolbar
self.set_slider(toolbar)
self.set_spinbox(toolbar)
# Set the initial xlimits coherently with values in slider and spinbox
self.set_xlim = self.fig.axes[0].set_xlim
self.draw_idle = self.fig.canvas.draw_idle
self.ax = self.fig.axes[0]
self.set_xlim(0, self.step)
self.fig.canvas.draw()
def set_slider(self, parent):
# Slider only support integer ranges so use ms as base unit
smin, smax = self.xmin*self.scale, self.xmax*self.scale
self.slider = QtGui.QSlider(QtCore.Qt.Horizontal, parent=parent)
self.slider.setTickPosition(QtGui.QSlider.TicksAbove)
self.slider.setTickInterval((smax-smin)/10.)
self.slider.setMinimum(smin)
self.slider.setMaximum(smax-self.step*self.scale)
self.slider.setSingleStep(self.step*self.scale/5.)
self.slider.setPageStep(self.step*self.scale)
self.slider.setValue(0) # set the initial position
self.slider.valueChanged.connect(self.xpos_changed)
parent.addWidget(self.slider)
def set_spinbox(self, parent):
self.spinb = QtGui.QDoubleSpinBox(parent=parent)
self.spinb.setDecimals(3)
self.spinb.setRange(0.001, 3600.)
self.spinb.setSuffix(" s")
self.spinb.setValue(self.step) # set the initial width
self.spinb.valueChanged.connect(self.xwidth_changed)
parent.addWidget(self.spinb)
def xpos_changed(self, pos):
#pprint("Position (in scroll units) %f\n" %pos)
# self.pos = pos/self.scale
pos /= self.scale
self.set_xlim(pos, pos + self.step)
self.draw_idle()
def xwidth_changed(self, xwidth):
#pprint("Width (axis units) %f\n" % step)
if xwidth <= 0: return
self.step = xwidth
self.slider.setSingleStep(self.step*self.scale/5.)
self.slider.setPageStep(self.step*self.scale)
old_xlim = self.ax.get_xlim()
self.xpos_changed(old_xlim[0] * self.scale)
# self.set_xlim(self.pos,self.pos+self.step)
# self.fig.canvas.draw()
if __name__ == "__main__":
q = test_plot()
plt.show()
回答：
正如意见中的要求，这里是一个pyqtgraph演示其滚动两个大的痕迹在一起（通过鼠标）。
该文档不是完整的pyqtgraph项目，但有一些很好的例子，你可以查看python -m pyqtgraph.examples这应该指向你在正确的方向。 crosshair.py示例对你来说可能特别有趣。
如果使用pyqtgraph，请将滑块小部件连接到本演示最后一行中的setXRange方法。
from pyqtgraph.Qt import QtGui, QtCore import pyqtgraph as pg
import numpy as np
app = QtGui.QApplication([])
win = pg.GraphicsWindow()
x = np.arange(1e5)
y1 = np.random.randn(x.size)
y2 = np.random.randn(x.size)
p1 = win.addPlot(x=x, y=y1, name='linkToMe')
p1.setMouseEnabled(x=True, y=False)
win.nextRow()
p2 = win.addPlot(x=x, y=y2)
p2.setXLink('linkToMe')
p1.setXRange(2000,3000)
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