我正在用python學習matplotlib。任務是在用戶界面中嵌入圖。該情節將在收到某些事件后重畫。UI應用程序采用QtDesigner生成的類，基本上是4000行self.BRIGHTNESS = QtGui.QSlider(ZenMainForm)self.BRIGHTNESS.setGeometry(QtCore.QRect(463, 73, 32, 131))等，生成其他一些對象，并在繪制之前將它們附加到生成的類。我已經確定了此過程，并且能夠添加滑塊，單選按鈕和其他標準的QWidget派生對象。但是，現在我需要嵌入上述圖形。有很多教程，但是他們在畫布上創建了一個圖片，然后向其中添加了軸。不幸的是，我不了解此過程，最重要的是，我不了解如何創建包含可變圖的QWidget。從那里開始，僅需一行即可將其集成到應用程序中。
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森欄
TA貢獻1810條經驗 獲得超5個贊
我刪除了與本教程無關的所有內容。然后，我開始將代碼集成到教程代碼中，直到它崩潰為止。這突出了我的錯誤。感謝大家的寶貴意見！
以下是本教程的修改后的最低版本。只需將DynamicMplCanvas用作普通的QWidget。
# Copyright (C) 2005 Florent Rougon
# 2006 Darren Dale
#
# This file is an example program for matplotlib. It may be used and
# modified with no restriction; raw copies as well as modified versions
# may be distributed without limitation.
from __future__ import unicode_literals
import sys, os, random
from PyQt4 import QtGui, QtCore
from numpy import arange, sin, pi
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
class MplCanvas(FigureCanvas):
"""Ultimately, this is a QWidget (as well as a FigureCanvasAgg, etc.)."""
def __init__(self, parent=None, width=5, height=4, dpi=100):
fig = Figure(figsize=(width, height), dpi=dpi)
self.axes = fig.add_subplot(111)
# We want the axes cleared every time plot() is called
self.axes.hold(False)
self.compute_initial_figure()
FigureCanvas.__init__(self, fig)
self.setParent(parent)
FigureCanvas.setSizePolicy(self,
QtGui.QSizePolicy.Expanding,
QtGui.QSizePolicy.Expanding)
FigureCanvas.updateGeometry(self)
class DynamicMplCanvas(MplCanvas):
"""A canvas that updates itself every second with a new plot."""
def __init__(self, *args, **kwargs):
MplCanvas.__init__(self, *args, **kwargs)
timer = QtCore.QTimer(self)
QtCore.QObject.connect(timer,
QtCore.SIGNAL("timeout()"),
self.update_figure)
timer.start(1000)
def compute_initial_figure(self):
self.axes.plot([0, 1, 2, 3], [1, 2, 0, 4], 'r')
def update_figure(self):
# Build a list of 4 random integers between 0 and 10 (both inclusive)
l = [ random.randint(0, 10) for i in range(4) ]
self.axes.plot([0, 1, 2, 3], l, 'r')
self.draw()
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