pyqt
python_matplotlib分别使用plot()和scatter()画散点图，以及如何改变点的大小
PyQt5 结合 matplotlib 时，如何显示其 NavigationToolbar
import numpy as np
import matplotlib.pyplot as plt
x=np.linspace(-10,10,100)
y=x**2
plt.plot(x,y)
plt.show()
import sys, os, randomfrom PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *import matplotlib
matplotlib.use('Qt5Agg')
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5 import NavigationToolbar2QT as NavigationToolbar
from matplotlib.figure import Figure
from Ui_my_wave_mainform import Ui_MainWindow
import re RUN_MY_MATPLOT = Trueclass MyPlotWindow(QMainWindow, Ui_MainWindow): def __init__(self, parent=None):super(MyPlotWindow, self).__init__(parent)self.setupUi(self)self.pushButton_plot_wave.clicked.connect(self.plot_wave)# Create the mpl Figure and FigCanvas objects. # 5x4 inches, 100 dots-per-inch#self.dpi = 100self.fig = Figure((5.0, 4.0), dpi=self.dpi)self.canvas = FigureCanvas(self.fig)#self.canvas.setParent(self.widget_wave_plot)# Since we have only one plot, we can use add_axes # instead of add_subplot, but then the subplot# configuration tool in the navigation toolbar wouldn't# work.#self.axes = self.fig.add_subplot(111)# Create the navigation toolbar, tied to the canvas#self.mpl_toolbar = NavigationToolbar(self.canvas, self.widget_wave_plot)#添加绘图到widgetself.verticalLayout_4.addWidget(self.canvas)#添加matplot默认工具栏到widgetself.verticalLayout_4.addWidget(self.mpl_toolbar)self.verticalLayout_4.setStretch(0, 10)self.verticalLayout_4.setStretch(1, 1)self.plot()def plot_wave(self):wavepoints1 = self.plainTextEdit_wave_points.toPlainText().replace(' ','').replace('\n','')wavepointsBuff=self.split_text(wavepoints1,4)data = []for item in wavepointsBuff:data.append(int(item,16))x=range(0,len(data))self.axes.clear() self.axes.plot(x, data)self.canvas.draw()def split_text(self,text, length):'''使用正则表达式，最后不足所需长度的，直接舍弃。'''return re.findall(r'.{%d}' % int(length), text)def plot(self):wavepoints='''01 02 03 04 05 06 07 08 09 10'''wavepoints1 = wavepoints.replace(' ','').replace('\n','')wavepointsBuff=self.split_text(wavepoints1,4)data = []for item in wavepointsBuff:data.append(int(item,16))x=range(0,len(data))self.axes.plot(x, data)self.canvas.draw()class AppForm(QMainWindow):def __init__(self, parent=None):QMainWindow.__init__(self, parent)self.setWindowTitle('Demo: PyQt with matplotlib')self.create_menu()self.create_main_frame()self.create_status_bar()self.textbox.setText('1 2 3 4')self.on_draw()def save_plot(self):file_choices = "PNG (*.png)|*.png"path = QFileDialog.getSaveFileName(self, 'Save file', '', file_choices)if path:self.canvas.print_figure(path, dpi=self.dpi)self.statusBar().showMessage('Saved to %s' % path, 2000)def on_about(self):msg = """ A demo of using PyQt with matplotlib:* Use the matplotlib navigation bar* Add values to the text box and press Enter (or click "Draw")* Show or hide the grid* Drag the slider to modify the width of the bars* Save the plot to a file using the File menu* Click on a bar to receive an informative message"""QMessageBox.about(self, "About the demo", msg.strip())def on_pick(self, event):# The event received here is of the type# matplotlib.backend_bases.PickEvent## It carries lots of information, of which we're using# only a small amount here.# box_points = event.artist.get_bbox().get_points()msg = "You've clicked on a bar with coords:\n %s" % box_pointsQMessageBox.information(self, "Click!", msg)def on_draw(self):""" Redraws the figure"""#str = unicode(self.textbox.text())self.data = list(map(int, self.textbox.text().split()))x = range(len(self.data))# clear the axes and redraw the plot anew#self.axes.clear() self.axes.grid(self.grid_cb.isChecked())self.axes.bar(x=x, height=self.data, width=self.slider.value() / 100.0, align='center', alpha=0.44,picker=5)self.canvas.draw()def create_main_frame(self):self.main_frame = QWidget()# Create the mpl Figure and FigCanvas objects. # 5x4 inches, 100 dots-per-inch#self.dpi = 100self.fig = Figure((5.0, 4.0), dpi=self.dpi)self.canvas = FigureCanvas(self.fig)self.canvas.setParent(self.main_frame)# Since we have only one plot, we can use add_axes # instead of add_subplot, but then the subplot# configuration tool in the navigation toolbar wouldn't# work.#self.axes = self.fig.add_subplot(111)# Bind the 'pick' event for clicking on one of the bars#self.canvas.mpl_connect('pick_event', self.on_pick)# Create the navigation toolbar, tied to the canvas#self.mpl_toolbar = NavigationToolbar(self.canvas, self.main_frame)# Other GUI controls# self.textbox = QLineEdit()self.textbox.setMinimumWidth(200)self.textbox.editingFinished.connect(self.on_draw)self.draw_button = QPushButton("&Draw")self.draw_button.clicked.connect(self.on_draw)self.grid_cb = QCheckBox("Show &Grid")self.grid_cb.setChecked(False)self.grid_cb.stateChanged.connect(self.on_draw) #intslider_label = QLabel('Bar width (%):')self.slider = QSlider(Qt.Horizontal)self.slider.setRange(1, 100)self.slider.setValue(20)self.slider.setTracking(True)self.slider.setTickPosition(QSlider.TicksBothSides)self.slider.valueChanged.connect(self.on_draw)#int## Layout with box sizers# hbox = QHBoxLayout()for w in [ self.textbox, self.draw_button, self.grid_cb,slider_label, self.slider]:hbox.addWidget(w)hbox.setAlignment(w, Qt.AlignVCenter)vbox = QVBoxLayout()vbox.addWidget(self.mpl_toolbar)vbox.addWidget(self.canvas)vbox.addLayout(hbox)self.main_frame.setLayout(vbox)self.setCentralWidget(self.main_frame)def create_status_bar(self):self.status_text = QLabel("This is a demo")self.statusBar().addWidget(self.status_text, 1)def create_menu(self): self.file_menu = self.menuBar().addMenu("&File")load_file_action = self.create_action("&Save plot",shortcut="Ctrl+S", slot=self.save_plot, tip="Save the plot")quit_action = self.create_action("&Quit", slot=self.close, shortcut="Ctrl+Q", tip="Close the application")self.add_actions(self.file_menu, (load_file_action, None, quit_action))self.help_menu = self.menuBar().addMenu("&Help")about_action = self.create_action("&About", shortcut='F1', slot=self.on_about, tip='About the demo')self.add_actions(self.help_menu, (about_action,))def add_actions(self, target, actions):for action in actions:if action is None:target.addSeparator()else:target.addAction(action)def create_action( self, text, slot=None, shortcut=None, icon=None, tip=None, checkable=False, signal="triggered()"):action = QAction(text, self)if icon is not None:action.setIcon(QIcon(":/%s.png" % icon))if shortcut is not None:action.setShortcut(shortcut)if tip is not None:action.setToolTip(tip)action.setStatusTip(tip)if slot is not None:action.triggered.connect(slot)if checkable:action.setCheckable(True)return actiondef main():if RUN_MY_MATPLOT:app = QApplication(sys.argv)myWin = MyPlotWindow()myWin.show()sys.exit(app.exec_())else:app = QApplication(sys.argv)form = AppForm()form.show()app.exec_()if __name__ == "__main__":main()
pyqt
python_matplotlib分别使用plot()和scatter()画散点图，以及如何改变点的大小
PyQt5 结合 matplotlib 时，如何显示其 NavigationToolbar
import numpy as np
import matplotlib.pyplot as plt
x=np.linspace(-10,10,100)
y=x**2
plt.plot(x,y)
plt.show()
import sys, os, randomfrom PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *import matplotlib
matplotlib.use('Qt5Agg')
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5 import NavigationToolbar2QT as NavigationToolbar
from matplotlib.figure import Figure
from Ui_my_wave_mainform import Ui_MainWindow
import re RUN_MY_MATPLOT = Trueclass MyPlotWindow(QMainWindow, Ui_MainWindow): def __init__(self, parent=None):super(MyPlotWindow, self).__init__(parent)self.setupUi(self)self.pushButton_plot_wave.clicked.connect(self.plot_wave)# Create the mpl Figure and FigCanvas objects. # 5x4 inches, 100 dots-per-inch#self.dpi = 100self.fig = Figure((5.0, 4.0), dpi=self.dpi)self.canvas = FigureCanvas(self.fig)#self.canvas.setParent(self.widget_wave_plot)# Since we have only one plot, we can use add_axes # instead of add_subplot, but then the subplot# configuration tool in the navigation toolbar wouldn't# work.#self.axes = self.fig.add_subplot(111)# Create the navigation toolbar, tied to the canvas#self.mpl_toolbar = NavigationToolbar(self.canvas, self.widget_wave_plot)#添加绘图到widgetself.verticalLayout_4.addWidget(self.canvas)#添加matplot默认工具栏到widgetself.verticalLayout_4.addWidget(self.mpl_toolbar)self.verticalLayout_4.setStretch(0, 10)self.verticalLayout_4.setStretch(1, 1)self.plot()def plot_wave(self):wavepoints1 = self.plainTextEdit_wave_points.toPlainText().replace(' ','').replace('\n','')wavepointsBuff=self.split_text(wavepoints1,4)data = []for item in wavepointsBuff:data.append(int(item,16))x=range(0,len(data))self.axes.clear() self.axes.plot(x, data)self.canvas.draw()def split_text(self,text, length):'''使用正则表达式，最后不足所需长度的，直接舍弃。'''return re.findall(r'.{%d}' % int(length), text)def plot(self):wavepoints='''01 02 03 04 05 06 07 08 09 10'''wavepoints1 = wavepoints.replace(' ','').replace('\n','')wavepointsBuff=self.split_text(wavepoints1,4)data = []for item in wavepointsBuff:data.append(int(item,16))x=range(0,len(data))self.axes.plot(x, data)self.canvas.draw()class AppForm(QMainWindow):def __init__(self, parent=None):QMainWindow.__init__(self, parent)self.setWindowTitle('Demo: PyQt with matplotlib')self.create_menu()self.create_main_frame()self.create_status_bar()self.textbox.setText('1 2 3 4')self.on_draw()def save_plot(self):file_choices = "PNG (*.png)|*.png"path = QFileDialog.getSaveFileName(self, 'Save file', '', file_choices)if path:self.canvas.print_figure(path, dpi=self.dpi)self.statusBar().showMessage('Saved to %s' % path, 2000)def on_about(self):msg = """ A demo of using PyQt with matplotlib:* Use the matplotlib navigation bar* Add values to the text box and press Enter (or click "Draw")* Show or hide the grid* Drag the slider to modify the width of the bars* Save the plot to a file using the File menu* Click on a bar to receive an informative message"""QMessageBox.about(self, "About the demo", msg.strip())def on_pick(self, event):# The event received here is of the type# matplotlib.backend_bases.PickEvent## It carries lots of information, of which we're using# only a small amount here.# box_points = event.artist.get_bbox().get_points()msg = "You've clicked on a bar with coords:\n %s" % box_pointsQMessageBox.information(self, "Click!", msg)def on_draw(self):""" Redraws the figure"""#str = unicode(self.textbox.text())self.data = list(map(int, self.textbox.text().split()))x = range(len(self.data))# clear the axes and redraw the plot anew#self.axes.clear() self.axes.grid(self.grid_cb.isChecked())self.axes.bar(x=x, height=self.data, width=self.slider.value() / 100.0, align='center', alpha=0.44,picker=5)self.canvas.draw()def create_main_frame(self):self.main_frame = QWidget()# Create the mpl Figure and FigCanvas objects. # 5x4 inches, 100 dots-per-inch#self.dpi = 100self.fig = Figure((5.0, 4.0), dpi=self.dpi)self.canvas = FigureCanvas(self.fig)self.canvas.setParent(self.main_frame)# Since we have only one plot, we can use add_axes # instead of add_subplot, but then the subplot# configuration tool in the navigation toolbar wouldn't# work.#self.axes = self.fig.add_subplot(111)# Bind the 'pick' event for clicking on one of the bars#self.canvas.mpl_connect('pick_event', self.on_pick)# Create the navigation toolbar, tied to the canvas#self.mpl_toolbar = NavigationToolbar(self.canvas, self.main_frame)# Other GUI controls# self.textbox = QLineEdit()self.textbox.setMinimumWidth(200)self.textbox.editingFinished.connect(self.on_draw)self.draw_button = QPushButton("&Draw")self.draw_button.clicked.connect(self.on_draw)self.grid_cb = QCheckBox("Show &Grid")self.grid_cb.setChecked(False)self.grid_cb.stateChanged.connect(self.on_draw) #intslider_label = QLabel('Bar width (%):')self.slider = QSlider(Qt.Horizontal)self.slider.setRange(1, 100)self.slider.setValue(20)self.slider.setTracking(True)self.slider.setTickPosition(QSlider.TicksBothSides)self.slider.valueChanged.connect(self.on_draw)#int## Layout with box sizers# hbox = QHBoxLayout()for w in [ self.textbox, self.draw_button, self.grid_cb,slider_label, self.slider]:hbox.addWidget(w)hbox.setAlignment(w, Qt.AlignVCenter)vbox = QVBoxLayout()vbox.addWidget(self.mpl_toolbar)vbox.addWidget(self.canvas)vbox.addLayout(hbox)self.main_frame.setLayout(vbox)self.setCentralWidget(self.main_frame)def create_status_bar(self):self.status_text = QLabel("This is a demo")self.statusBar().addWidget(self.status_text, 1)def create_menu(self): self.file_menu = self.menuBar().addMenu("&File")load_file_action = self.create_action("&Save plot",shortcut="Ctrl+S", slot=self.save_plot, tip="Save the plot")quit_action = self.create_action("&Quit", slot=self.close, shortcut="Ctrl+Q", tip="Close the application")self.add_actions(self.file_menu, (load_file_action, None, quit_action))self.help_menu = self.menuBar().addMenu("&Help")about_action = self.create_action("&About", shortcut='F1', slot=self.on_about, tip='About the demo')self.add_actions(self.help_menu, (about_action,))def add_actions(self, target, actions):for action in actions:if action is None:target.addSeparator()else:target.addAction(action)def create_action( self, text, slot=None, shortcut=None, icon=None, tip=None, checkable=False, signal="triggered()"):action = QAction(text, self)if icon is not None:action.setIcon(QIcon(":/%s.png" % icon))if shortcut is not None:action.setShortcut(shortcut)if tip is not None:action.setToolTip(tip)action.setStatusTip(tip)if slot is not None:action.triggered.connect(slot)if checkable:action.setCheckable(True)return actiondef main():if RUN_MY_MATPLOT:app = QApplication(sys.argv)myWin = MyPlotWindow()myWin.show()sys.exit(app.exec_())else:app = QApplication(sys.argv)form = AppForm()form.show()app.exec_()if __name__ == "__main__":main()