pyqt QCustomPlot Dynamic graph
时间: 2024-03-17 12:20:29 浏览: 87
Getting_Started_With_PyQt4_v1.pdf
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To create a dynamic graph using QCustomPlot in PyQt, you can follow these steps:
1. Import the necessary modules:
```python
from PyQt5.QtWidgets import QApplication, QMainWindow
from PyQt5.QtCore import QTimer
import numpy as np
from qcustomplot import QCustomPlot, QCPGraphData
```
2. Create your main window and add a QCustomPlot widget:
```python
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.setWindowTitle("Dynamic Graph")
self.plot = QCustomPlot(self)
self.setCentralWidget(self.plot)
```
3. Create a function to update the graph:
```python
def update_plot(self):
# Generate new data
x = np.linspace(0, 10, 100)
y = np.sin(x)
# Clear previous data
self.plot.clearGraphs()
# Add new data to graph
graph = self.plot.addGraph()
graph.setData([QCPGraphData(xi, yi) for xi, yi in zip(x, y)])
self.plot.rescaleAxes()
# Refresh the plot
self.plot.replot()
```
4. Create a QTimer to call the update function at a set interval:
```python
timer = QTimer(self)
timer.timeout.connect(self.update_plot)
timer.start(1000) # Update every second
```
5. Run the application:
```python
if __name__ == '__main__':
app = QApplication([])
window = MainWindow()
window.show()
app.exec_()
```
This will create a window with a QCustomPlot widget that updates with new data every second. You can modify the update function to generate new data in the format that you need for your application.
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