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PyQt5+QtChart实现绘制曲线图

作者:SongYuLong的博客

QChart是一个QGraphicScene中可以显示的QGraphicsWidget。本文将利用QtChart实现曲线图的绘制,文中的示例代码讲解详细,感兴趣的小伙伴可以了解一下

QSplineSeries

QSplineSeries类将数据序列显示为曲线图。核心代码:

spline = QSplineSeries()
spline.append(0, 23)
spline.append(1, 56)

chart.addSeries(lineSeries)

常用方法

实现代码

import random
import sys

from PyQt5.QtGui import *
from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import Qt
from PyQt5.QtChart import QSplineSeries, QLineSeries, QChart, QChartView, QValueAxis


class MySplineWindow(QWidget):
    def __init__(self, parent=None):
        super(MySplineWindow, self).__init__(parent)
        self.setWindowTitle("曲线图表演示")

        chart = QChart()
        chart.setTitle("曲线图表")
        chart.setAnimationDuration(1500)
        chart.setAnimationOptions(QChart.SeriesAnimations)
        chart.setAnimationEasingCurve(QEasingCurve.OutCirc)
        chart.legend().show()

        spline = QSplineSeries()
        for value in range(1, 50):
            spline.append(value, round(random.random()*100))


        spline.setName("随机噪声")
        # spline.setColor(Qt.blue)
        spline.setPointsVisible(True)
        spline.setPointLabelsVisible(True)
        spline.setPointLabelsFormat("(@xPoint, @yPoint)")
        spline.setPointLabelsFont(QFont(None, 6))
        spline.setPointLabelsColor(Qt.darkBlue)
                
        chart.addSeries(spline)
        chart.createDefaultAxes()

        axis_x = QValueAxis()
        axis_x.setLabelFormat("%d")
        chart.addAxis(axis_x, Qt.AlignBottom)
        spline.attachAxis(axis_x)

        chartView = QChartView()
        chartView.setChart(chart)
        chartView.setRenderHint(QPainter.Antialiasing)
        
        vbox = QVBoxLayout()
        vbox.addWidget(chartView)
        self.setLayout(vbox)


if __name__ == "__main__":
    app = QApplication(sys.argv)
    win = MySplineWindow()
    win.show()
    sys.exit(app.exec_())

效果图

增加抗锯齿:chartView.setRenderHint(QPainter.Antialiasing)

到此这篇关于PyQt5+QtChart实现绘制曲线图的文章就介绍到这了,更多相关PyQt5 QtChart曲线图内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

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