'PyQt5 3D scatterplot widget not showing up
Goal: Generate a 3D scatter plot from radar data obtained from vTrig_DataCollect.
Scatterplot_widget is not being shown in the MainWindow.
Step 1 is to make the plot show up from a single data collection.
Step 2 is to repeatedly call vTrig_DataCollect and have the plot refresh at 1 Hz.
from PyQt5 import QtCore, QtGui, QtWidgets
import time
from PyQt5 import QtWidgets
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import vTrig_DataCollect
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName("MainWindow")
MainWindow.resize(800, 600)
self.centralwidget = QtWidgets.QWidget(MainWindow)
self.centralwidget.setObjectName("centralwidget")
MainWindow.setCentralWidget(self.centralwidget)
self.scatterplot_widget = QtWidgets.QWidget(self.centralwidget)
self.scatterplot_widget.setGeometry(QtCore.QRect(0, 0, 800, 500))
self.scatterplot_widget.setObjectName("scatterplot_widget")
self.fig = Figure()
self.canvas = FigureCanvas(self.fig)
self.axes = self.fig.add_subplot(111, projection='3d')
payload_data = vTrig_DataCollect.data_collect()
x_points = payload_data['x']
y_points = payload_data['y']
z_points = payload_data['z']
intensity = payload_data['intensity']
self.scatterplot_widget = self.axes.scatter(x_points, y_points, z_points, s=4, c=intensity)
self.statusbar = QtWidgets.QStatusBar(MainWindow)
self.statusbar.setObjectName("statusbar")
MainWindow.setStatusBar(self.statusbar)
self.retranslateUi(MainWindow)
QtCore.QMetaObject.connectSlotsByName(MainWindow)
def retranslateUi(self, MainWindow):
_translate = QtCore.QCoreApplication.translate
MainWindow.setWindowTitle(_translate("MainWindow", "Visualization_Window"))
if __name__ == "__main__":
import sys
app = QtWidgets.QApplication(sys.argv)
MainWindow = QtWidgets.QMainWindow()
ui = Ui_MainWindow()
ui.setupUi(MainWindow)
MainWindow.show()
sys.exit(app.exec_())
The majority of the code was generated using Qt Designer, then I added the 9 lines of code related to my plot.
Solution 1:[1]
You must not modify the file generated by pyuic5 so you must restore the file by running: python -m pyuic5 your_ui.ui -o mainwindow.py -x, also I will assume that the file vTrig_DataCollect.py is:
import numpy as np
def data_collect():
N = 50
return {
"x": np.random.rand(N),
"y": np.random.rand(N),
"z": np.random.rand(N),
"intensity": np.random.rand(N),
}
The idea is to create the canvas (which is a QWidget too) and place it on top of another widget using a layout, then update the canvas with the new data.
from PyQt5.QtCore import QTimer
from PyQt5.QtWidgets import QApplication, QMainWindow, QVBoxLayout
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from mainwindow import Ui_MainWindow
import vTrig_DataCollect
class MainWindow(QMainWindow):
def __init__(self, parent=None):
super().__init__(parent)
self.ui = Ui_MainWindow()
self.ui.setupUi(self)
self.canvas = FigureCanvas(Figure())
self.axes = self.canvas.figure.add_subplot(111, projection="3d")
lay = QVBoxLayout(self.ui.scatterplot_widget)
lay.addWidget(self.canvas)
timer = QTimer(self, interval=1000, timeout=self.handle_timeout)
timer.start()
def handle_timeout(self):
payload_data = vTrig_DataCollect.data_collect()
x_points = payload_data["x"]
y_points = payload_data["y"]
z_points = payload_data["z"]
intensity = payload_data["intensity"]
self.axes.clear()
self.axes.scatter(x_points, y_points, z_points, s=4, c=intensity)
self.canvas.draw()
def main():
app = QApplication([])
w = MainWindow()
w.show()
app.exec_()
if __name__ == "__main__":
main()
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | eyllanesc |
