matplotlib NavigationToolbar2QT操作中没有图形选项

时间:2019-07-03 10:59:50

标签: python matplotlib pyqt5

我正在使用PyQt5和matplotlib制作图形用户界面。我想在按工具栏按钮时添加更多功能。例如,当我单击主页按钮时想要做某事时,我会做:

self.toolbar._actions['home'].triggered.connect(self.do_something)

,并且有效。但是,我找不到下面显示为橙色的图形选项按钮的操作: matplotlib toolbar

当我这样做:

self.toolbar._actions

返回

{'home': <PyQt5.QtWidgets.QAction object at 0x0000020D91ECE4C8>, 'back': <PyQt5.QtWidgets.QAction object at 0x0000020D91ECE558>, 'forward': <PyQt5.QtWidgets.QAction object at 0x0000020D91ECE5E8>, 'pan': <PyQt5.QtWidgets.QAction object at 0x0000020D91ECE708>, 'zoom': <PyQt5.QtWidgets.QAction object at 0x0000020D91ECE798>, 'configure_subplots': <PyQt5.QtWidgets.QAction object at 0x0000020D91ECE828>, 'save_figure': <PyQt5.QtWidgets.QAction object at 0x0000020D91ECE9D8>}

仅包含7个对象的字典,而没有“图形选项” /“编辑轴”按钮。

点击图形选项按钮后我该怎么做?

1 个答案:

答案 0 :(得分:2)

该QAction不可直接访问,但是如果您分析source code,您会发现它具有“ Customize”作为文本,因此可以使用findChildren来获取它:

for action in self.toolbar.findChildren(QtWidgets.QAction):
    if action.text() == "Customize":
        action.triggered.connect(self.do_something)
        break

另一种选择是覆盖edit_parameters()方法,因为该方法由该QAction调用:

import sys
import numpy as np

from PyQt5 import QtCore, QtWidgets

from matplotlib.backends.backend_qt5agg import (
    FigureCanvas,
    NavigationToolbar2QT,
)
from matplotlib.figure import Figure


class NavigationToolbar(NavigationToolbar2QT):
    def edit_parameters(self):
        print("before")
        super(NavigationToolbar, self).edit_parameters()
        print("after")


class ApplicationWindow(QtWidgets.QMainWindow):
    def __init__(self):
        super().__init__()
        self._main = QtWidgets.QWidget()
        self.setCentralWidget(self._main)
        layout = QtWidgets.QVBoxLayout(self._main)

        self.m_canvas = FigureCanvas(Figure(figsize=(5, 3)))
        self.m_toolbar = NavigationToolbar(self.m_canvas, self)
        layout.addWidget(self.m_canvas)
        self.addToolBar(self.m_toolbar)

        self._static_ax = self.m_canvas.figure.subplots()
        t = np.linspace(0, 10, 501)
        self._static_ax.plot(t, np.tan(t), ".")


if __name__ == "__main__":
    qapp = QtWidgets.QApplication(sys.argv)
    app = ApplicationWindow()
    app.show()
    qapp.exec_()