Question

所以我一直在对PyQt和MPL进行大量的研究，而且我仍然遇到一些我无法解决的问题。

第一个是：如何更改FigureCanvas背景颜色（它是this image中的灰色部分）。 FigureCanvas没有facecolor或backgroundcolor的属性或我能想到或发现的任何其他内容。我可以改变轴上的颜色，图（这就是我可以看到的黑色背景），但不是画布本身。

第二个问题：如何摆脱十字线顶部仍然可见的鼠标指针？或者更好的是在光标进入mpl FigureCanvas小部件时更改光标（当它离开时再次返回）。

编辑：以下是我要求的部分代码。我通过以下方式从Qt调用MPL数据。

我的主窗口：

from PyQt5.QtCore import pyqtSlot as Slot
from PyQt5 import QtCore
from PyQt5 import QtWidgets
from PyQt5 import QtGui
from PyQt5 import uic

# MPL class
from pyqt5_mpl import mpl_figure

# Select Qt5 user interface.
qtCreatorFile = '<local filepath>'
Ui_MainWindow, QtBaseClass = uic.loadUiType(qtCreatorFile)

class main(QtWidgets.QMainWindow, Ui_MainWindow):

    def __init__(self):
        # Inititate UI.
        QtWidgets.QMainWindow.__init__(self)
        Ui_MainWindow.__init__(self)
        self.setupUi(self)

        # Create data structures.
        global a
        a = a_dataclass()

        # Create MPL Canvases (Layout->CreateMPLCanvas->AddWidget).
        # Create class instances for each figure.
        a.im1 = mpl_figure()
        a.im2 = mpl_figure()

        # Create Layouts and add widgets.
        a_layout = QtWidgets.QHBoxLayout(self.tab1)
        a_layout.addWidget(a.im1.canvas)
        a_layout.addWidget(a.im2.canvas)

        # Load images.
        a.im1.loadimage('image file path',a.pix)
        a.im2.loadimage('image file path',a.pix)
        # a.pix is dimensions for extent in plot.

if __name__ == "__main__":
    # QApp 
    app = QtWidgets.QApplication(sys.argv)
    # QWidget (MainWindow)
    window = main()
    window.show()
    sys.exit(app.exec_())

我的mpl_figure类：

import matplotlib as mpl
mpl.use('Qt5Agg')
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas

class mpl_figure:

    def __init__(self):
        # Set up empty plot variables.
        self.image = None
        # Create a figure to plot on.
        fig = plt.figure()
        fig.set_facecolor('black') # This does nothing...
        # Create an axis in the figure.
        self.ax = fig.add_subplot(111, axisbg='black')
        # Create a canvas widget for Qt to use.
        self.canvas = FigureCanvas(fig)
        # Create cursor widget.
        self.cursor = mpl.widgets.Cursor(self.ax)
        # Refresh the canvas.
        self.canvas.draw()

    def loadimage(self,fn,pix):
        # Read in image.
        self.data = plt.imread(fn)
        # Calculate the extent.
        self.dims = np.array([0, pix[0]*np.shape(self.data)[1],0,pix[1]*np.shape(self.data)[0]])
        # Display the image.
        self.image = self.ax.imshow(self.data, cmap='gray', extent=self.dims)
        self.ax.set_autoscale_on(False)
        # Refresh the canvas.
        self.canvas.draw()
        # Start Callback ID
        self.cid = self.canvas.mpl_connect('button_press_event', self.onclick)

    def onclick(self,event):
        # Do stuff...
        pass

我试图尝试对self.canvas或fig进行更改。在它的样式方面呈现静音，它什么都不做。至于当你输入mpl_widget时更改光标（或隐藏它，它是指针），我只是不确定如何做到这一点。我记得在mpl中看到连接“event_leave_figure”效果的东西，但无法在它和PyQt＆lt;之间建立连接 - 这是重要的一点。有什么想法吗？

Answer 1

感谢您在提问之前提供MINIMAL WORKING example和谷歌搜索。这总是节省了很多时间。

因此，以下代码生成如下所示的图像。

import sys
from PyQt4 import QtGui, QtCore
import matplotlib 
import numpy as np
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure


class ApplicationWindow(QtGui.QMainWindow):
    def __init__(self):
        QtGui.QMainWindow.__init__(self)
        self.setAttribute(QtCore.Qt.WA_DeleteOnClose)
        self.setWindowTitle("application main window")

        self.main_widget = QtGui.QWidget(self)
        self.setCentralWidget(self.main_widget)
        l = QtGui.QVBoxLayout(self.main_widget)

        self.fig = Figure(figsize=(5,3), dpi=100)
        self.ax = self.fig.add_subplot(111)
        self.canvas = FigureCanvas(self.fig)
        l.addWidget(self.canvas)

        t = np.arange(0.0, 3.0, 0.01)
        s = np.sin(2*np.pi*t)*np.exp(-t/7/np.pi)
        self.ax.plot(t, s, color="#0095a2", lw=3)

        #set some alpha
        self.fig.patch.set_alpha(0.5)
        #set color
        self.fig.patch.set_facecolor('#cd0e49')

        self.cursor = matplotlib.widgets.Cursor(self.ax)
        #set cursor
        #self.canvas.setCursor(QtGui.QCursor(QtCore.Qt.BlankCursor))
        #since I find Blank cursor very confusing, I will use a better one:
        self.canvas.setCursor(QtGui.QCursor(    QtCore.Qt.SizeAllCursor))



qApp = QtGui.QApplication(sys.argv)

aw = ApplicationWindow()
aw.show()
sys.exit(qApp.exec_())

在PyQt中自定义MPL

1 个答案: