我目前正在尝试将要绘制的图形嵌入我设计的pyqt4用户界面中。因为我几乎完全不熟悉编程，所以我不了解人们在我发现的示例中的嵌入方式- 这个（在底部） 和那个。

如果有人可以发布分步说明，或者至少在一个pyqt4 GUI中仅创建例如图形和按钮的至少非常小而非常简单的代码，那将是非常棒的。实际上并不是那么复杂。相关的Qt小部件位于中matplotlib.backends.backend_qt4agg。FigureCanvasQTAgg而NavigationToolbar2QT通常你需要什么。这些是常规的Qt小部件。你将它们视为其他任何小部件。下面是一个很简单的例子有Figure，Navigation和一个按钮，吸引了一些随机数据。我添加了评论来解释事情。

import sys
from PyQt4 import QtGui

from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QT as NavigationToolbar
from matplotlib.figure import Figure

import random

class Window(QtGui.QDialog):
    def __init__(self, parent=None):
        super(Window, self).__init__(parent)

        # a figure instance to plot on
        self.figure = Figure()

        # this is the Canvas Widget that displays the `figure`
        # it takes the `figure` instance as a parameter to __init__
        self.canvas = FigureCanvas(self.figure)

        # this is the Navigation widget
        # it takes the Canvas widget and a parent
        self.toolbar = NavigationToolbar(self.canvas, self)

        # Just some button connected to `plot` method
        self.button = QtGui.QPushButton('Plot')
        self.button.clicked.connect(self.plot)

        # set the layout
        layout = QtGui.QVBoxLayout()
        layout.addWidget(self.toolbar)
        layout.addWidget(self.canvas)
        layout.addWidget(self.button)
        self.setLayout(layout)

    def plot(self):
        ''' plot some random stuff '''
        # random data
        data = [random.random() for i in range(10)]

        # create an axis
        ax = self.figure.add_subplot(111)

        # discards the old graph
        ax.clear()

        # plot data
        ax.plot(data, '*-')

        # refresh canvas
        self.canvas.draw()

if __name__ == '__main__':
    app = QtGui.QApplication(sys.argv)

    main = Window()
    main.show()

    sys.exit(app.exec_())

编辑：

更新以反映注释和API更改。

• NavigationToolbar2QTAgg 改变了 NavigationToolbar2QT
• 直接导入Figure而不是pyplot
• 替换ax.hold(False)为ax.clear()