Question

在以下脚本中，创建了一个绘图窗口，plot.update正确传递给import sys import time import numpy from numpy import pi import rx from rx.concurrency import QtScheduler import pyqtgraph as pg from pyqtgraph.Qt import QtCore, QtGui class DemoData: def __init__(self, window, steps): def signal(t): omega = 5 return numpy.sin(2*pi*omega*t) + numpy.random.random() self.stream = rx.Observable.range( 0, steps ).map( signal ).buffer_with_count( window, 1 ) class UpdatingPlot: def __init__(self): self.plot = pg.plot() self.curve = self.plot.plot() def update(self, values): self.curve.setData(values) def main(): app = QtGui.QApplication([]) scheduler = QtScheduler(QtCore) window, steps = 50, 100 data = DemoData(window, steps) plot = UpdatingPlot() data.stream.subscribe_on(scheduler=scheduler).subscribe(plot.update) sys.exit(app.exec_()) if __name__ == '__main__': main()。但是，情节没有更新。我做错了什么？

oSheet.Range("F" & j + 1).Formula = "=SUBTOTAL(9,F" & summaryPosition & ":F" & j & ")"
oSheet.Range("G" & j + 1).Formula = "=SUBTOTAL(9,G" & summaryPosition & ":G" & j & ")"
oSheet.Range("H" & j + 1).Formula = "=SUBTOTAL(9,H" & summaryPosition & ":H" & j & ")"
oSheet.Range("I" & j + 1).Formula = "=SUBTOTAL(9,I" & summaryPosition & ":I" & j & ")"
oSheet.Range("J" & j + 1).Formula = "=SUBTOTAL(9,J" & summaryPosition & ":J" & j & ")"

Answer 1

这不能解决您的问题，但它可能会解决您的需求。您可以使用包joystick，使用pip install joystick进行安装。它旨在提供实时和交互式的绘图框架。

以下是使用它的示例。它创建了一个图形框架，可以“听”＆＃39;并显示您的正弦函数作为时间的函数;每0.2秒添加一个新数据点。

import joystick as jk
import numpy as np
import time

class DemoData(jk.Joystick):
    # initialize the infinite loop and callit decorators so they can auto-
    # register methods they decorate
    _infinite_loop = jk.deco_infinite_loop()
    _callit = jk.deco_callit()

    @_callit('before', 'init')
    def _init_data(self, *args, **kwargs):
        # Function automatically called at initialization, thanks to the
        # decorator
        self.tdata = np.array([])  # time x-axis
        self.ydata = np.array([])  # data y-axis
        self.omega = 5

    @_callit('after', 'init')
    def _build_frames(self, *args, **kwargs):
        # Function automatically called at initialization, thanks to the
        # decorator.
        # Creates a graph frame
        self.mygraph = self.add_frame(
                   jk.Graph(name="DemoData", size=(500, 500), pos=(50, 50),
                            fmt="go-", xnpts=50, freq_up=7, bgcol="w",
                            xylim=(None,None,-1.1,2.1), xlabel='t', ylabel='sine'))

    @_callit('before', 'start')
    def _set_t0(self):
        # initialize t0 at start-up
        self._t0 = time.time()

    @_infinite_loop(wait_time=0.2)
    def _get_data(self):
        # This method will automatically be called with simulation start
        # (t.start()), and looped every 0.2 in a separate thread as long as
        # the simulation runs (running == True)
        # It generates new data and pushes it to the frame.
        # concatenate data on the time x-axis
        timestamp = time.time() - self._t0
        self.tdata = jk.add_datapoint(self.tdata,
                                      timestamp,
                                      xnptsmax=self.mygraph.xnptsmax)
        new_y_data = np.sin(2*np.pi*self.omega*timestamp) + np.random.random()
        self.ydata = jk.add_datapoint(self.ydata,
                                      new_y_data,
                                      xnptsmax=self.mygraph.xnptsmax)
        # push new data to the graph
        self.mygraph.set_xydata(np.round(self.tdata, 1), self.ydata)

d = DemoData()
d.start()
...
d.stop()

从RxPy observable更新pyqtgraph图

1 个答案: