如何在 PyQt5 中嵌入 Matplotlib 图形?
在本文中,我们将看到如何使用 matplotlib 在 PyQt5 窗口中绘制图形。
Matplotlib是Python中用于数组二维图的惊人可视化库。 Matplotlib 是一个基于 NumPy 数组构建的多平台数据可视化库,旨在与更广泛的 SciPy 堆栈配合使用。它是由 John Hunter 在 2002 年推出的。
PyQt5是跨平台的 GUI 工具包,一组用于 Qt v5 的Python绑定。由于该库提供的工具和简单性,人们可以非常轻松地开发交互式桌面应用程序。 GUI 应用程序由前端和后端组成。
入门
为了在 PyQt5 中使用 Matplotlib 绘制图形,我们需要 FigureCanvasQTAgg 和 NavigationToolbar2QT 这些类似于嵌入的 PyQt5 小部件。
- NavigationToolbar2QT :它将为图形提供工具栏,可以在下面给出的命令的帮助下导入
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
- FigureCanvasQTAgg :它将为图形提供画布,可以借助下面给出的命令导入
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
下面是 FigureCanvasQTAgg 和 NavigationToolbar2QT 的样子——
下面是实现
Python3
# importing various libraries
import sys
from PyQt5.QtWidgets import QDialog, QApplication, QPushButton, QVBoxLayout
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
import matplotlib.pyplot as plt
import random
# main window
# which inherits QDialog
class Window(QDialog):
# constructor
def __init__(self, parent=None):
super(Window, self).__init__(parent)
# a figure instance to plot on
self.figure = plt.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 = QPushButton('Plot')
# adding action to the button
self.button.clicked.connect(self.plot)
# creating a Vertical Box layout
layout = QVBoxLayout()
# adding tool bar to the layout
layout.addWidget(self.toolbar)
# adding canvas to the layout
layout.addWidget(self.canvas)
# adding push button to the layout
layout.addWidget(self.button)
# setting layout to the main window
self.setLayout(layout)
# action called by the push button
def plot(self):
# random data
data = [random.random() for i in range(10)]
# clearing old figure
self.figure.clear()
# create an axis
ax = self.figure.add_subplot(111)
# plot data
ax.plot(data, '*-')
# refresh canvas
self.canvas.draw()
# driver code
if __name__ == '__main__':
# creating apyqt5 application
app = QApplication(sys.argv)
# creating a window object
main = Window()
# showing the window
main.show()
# loop
sys.exit(app.exec_())
输出 :