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我正在尝试构建一个简单的时间序列查看器，它将有一个下一个按钮跳到下一个时间序列和一个播放按钮，它将遍历整个时间序列数据集。即使我使用set_ydata. 这和python一样好吗？当我按下播放按钮时，程序在 5-6 张幻灯片后冻结。

这是代码：

from tkinter import Tk, Button
import numpy
import matplotlib.pyplot as pyplot
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
import scipy
from scipy import io

class Viewer:
    _rawData = None
    _featureMatrix = None
    _root = None
    _t = None
    _index = 0
    _T = None
    _N = None
    _plot = None
    _nextButton = None
    _figure = None
    _axes = None
    _canvas = None
    _toolbar = None
    def __init__(self, rawData, featureMatrix = []):
        # keep local copy of data
        self._rawData = rawData
        self._featureMatrix = featureMatrix
        self._T = rawData.shape[1]
        self._N = rawData.shape[0]
        self._t = numpy.arange(self._T)
        # GUI SETUP
        self._root = Tk()
        self._nextButton = Button(self._root, text="next", command = self.next)
        self._nextButton.grid(row=0, column=0)
        self._playButton = Button(self._root, text="play", command = self.play)
        self._playButton.grid(row=1, column=0)
        # init figure
        self._figure = pyplot.figure()
        self._axes = self._figure.add_subplot(111)
        self._canvas = FigureCanvasTkAgg(self._figure, master=self._root)
        self._toolbar = NavigationToolbar2TkAgg(self._canvas, self._root)
        self._canvas.get_tk_widget().grid(row=0,column=1)
        self._toolbar.grid(row=1,column=1)
        # draw first time series
        self.draw_ts()
        self._root.mainloop()
    def next(self):
        self._index = self._index + 1 % self._N
        self.draw_ts()
    def play(self):
        for i in range(self._N): self.next()
    def draw_ts(self):
        pyplot.clf() # clear figure
        #if self._plot is None:
        self._plot, = pyplot.plot(self._t, self._rawData[self._index, :]) # the annoying comma is to output an object and not a list of objects
        #else:
        #    self._plot.set_ydata(self._rawData[self._index, :])
        pyplot.title("time series index # %d / %d" % (self._index, self._N))
        #self._axes.relim()
        #self._axes.autoscale_view(True,True,True)
        self._canvas.draw()

if __name__ == "__main__":
    x = numpy.random.random([1000, 100])
    iv = Viewer(x)
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1 回答 1

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哎呀，我认为是 pyplot.clf() 导致了长时间的延迟。现在它的工作速度更快（仍然有点慢~ 7 Hz）。如果我打开播放，它会在几张幻灯片后再次冻结。我认为是因为它会在完成前一张图或类似的东西之前尝试绘制。

于 2013-09-06T20:55:56.333 回答