PyQt5+QtChart实现绘制极坐标图
目录
- 散点极坐标图
- 折线极坐标图
- 曲线极坐标图
- 区域极坐标图
散点极坐标图
import sys import random import math from PyQt5.QtGui import * from PyQt5.QtCore import * from PyQt5.QtWidgets import * from PyQt5.QtCore import Qt from PyQt5.QtChart import QScatterSeries, QPolarChart, QChart, QChartView, QValueAxis class MyPolarWindow(QWidget): def __init__(self, parent=None): super(MyPolarWindow, self).__init__(parent) # 创建图表 polarChart = QPolarChart() chartView = QChartView() # 创建Series scatterSeries = QScatterSeries() # 添加数据 for value in range(1, 50): scatterSeries.append(value, random.random()*10) #scatterSeries.append(QPointF(value, random.random()*10)) scatterSeries.setMarkerSize(10) scatterSeries.setColor(Qt.red) scatterSeries.setBorderColor(Qt.yellow) scatterSeries.setMarkerShape(QScatterSeries.MarkerShapeCircle) # 圆形标记 # scatterSeries.setMarkerShape(QScatterSeries.MarkerShapeRectangle) # 方形标记 scatterSeries.setName("星位图") polarChart.addSeries(scatterSeries) polarChart.setContentsMargins(0, 0, 0, 0) polarChart.setTheme(QChart.ChartThemeBlueCerulean) # polarChart.createDefaultAxes() # 设置 角向轴 angularAxis = QValueAxis() angularAxis.setTickCount(9) angularAxis.setLabelFormat("%.2f") angularAxis.setShadesVisible(True) angularAxis.setShadesBrush(QBrush(QColor(230, 230, 255))) polarChart.addAxis(angularAxis, QPolarChart.PolarOrientationAngular) angularAxis.setRange(0, 20) # 必须设置范围,否则图表无法显示 # 设置 径向轴 radialAxis = QValueAxis() radialAxis.setTickCount(5) radialAxis.setLabelFormat("%d") polarChart.addAxis(radialAxis, QPolarChart.PolarOrientationRadial) radialAxis.setRange(0, 10) chartView.setChart(polarChart) chartView.setFocusPolicy(Qt.NoFocus) chartView.setRenderHint(QPainter.Antialiasing) vbox = QVBoxLayout() 编程客栈 vbox.addwidget(chartView) self.setLayout(vbox) # polarChart.zoomOut() # polarChart.zoomIn() # polarChart.scroll(-1.0, 0) # polarChart.scroll(1.0, 0) # polarChart.scroll(0, 1.0) # polarChart.scroll(0, -1.0) if __name__ == "__main__": app = QApplication(sys.argv) win = MyPolarWindow() win.show() sys.exit(app.exec_())
折线极坐标图
import sys import random import math from PyQt5.QtGui import * from PyQt5.QtCore import * from PyQt5.QtWidgets import * from PyQt5.QtCore import Qt from PyQt5.QtChart import QLineSeries, QPolarChart, QChart, QChartView, QValueAxis class MyPolarWindow(QWidget): def __init__(self, parent=None): super(MyPolarWindow, self).__init__(parent) self.setWindowTitle("散点极坐标图") # 创建图表 polarChart = QPolarChart() chartView = QChartView() # 创建Series scatterSeries = QLineSeries() # 添加数据 for value in range(1, 50): scatterSeries.append(value, random.random()*10) #scatterSeries.append(QPointF(value, random.random()*10)) 开发者_JS培训 scatterSeries.setName("折线极坐标图") polarChart.addSeries(scatterSeries) polarChart.setContentsMargins(0, 0, 0, 0) polarChart.setTheme(QChart.ChartThemeBlueCerulean) # polarChart.createDefaultAxes() # 设置 角向轴 angularAxis = QValueAxis() angularAxis.setTickCount(9) angularAxis.setLabelFormat("%.2f") angularAxis.setShadesVisible(True) angularAxiphps.setShadesBrush(QBrush(QColor(230, 230, 255))) polarChart.addAxis(angularAxis, QPolarChart.PolarOrientationAngular) angularAxis.setRange(0, 20) # 必须设置范围,否则图表无法显示 # 设置 径向轴 radialAxis = QValueAxis() radialAxis.setTickCount(5) radialAxis.setLabelFormat("%d") polarChart.addAxis(radialAxis, QPolarChart.PolarOrientationRadial) radialAxis.setRange(0, 10) chartView.setChart(polarChart) chartView.setFocusPolicy(Qt.NoFocus) chartView.setRenderHint(QPainter.Antialiasing) vbox = QVBoxLayout() vbox.addWidget(chartView) self.setLayout(vbox) if __name__ == "__main__": app = QApplication(sys.argv) win = MyPolarWindow() win.showpython() sys.exit(app.exec_())
曲线极坐标图
import sys import random import math from PyQt5.QtGui import * from PyQt5.QtCore import * from PyQt5.QtWidgets import * from PyQt5.QtCore import Qt from PyQt5.QtChart import QSplineSeries, QPolarChart, QChart, QChartView, QValueAxis class MyPolarWindow(QWidget): def __init__(self, parent=None): super(MyPolarWindow, self).__init__(parent) self.setWindowTitle("散点极坐标图") # 创建图表 polarChart = QPolarChart() chartView = QChartView() # 创建Series scatterSeries = QSplineSeries() # 添加数据 for value in range(1, 50): scatterSeries.append(value, random.random()*10) #scatterSeries.append(QPointF(value, random.random()*10)) scatterSeries.setName("曲线极坐标图") polarChart.addSeries(scatterSeries) polarCbheLxxlSNQhart.setContentsMargins(0, 0, 0, 0) polarChart.setTheme(QChart.ChartThemeBlueCerulean) # polarChart.createDefaultAxes() # 设置 角向轴 angularAxis = QValueAxis() angularAxis.setTickCount(9) angularAxis.setLabelFormat("%.2f") angularAxis.setShadesVisible(True) angularAxis.setShadesBrush(QBrush(QColor(230, 230, 255))) polarChart.addAxis(angularAxis, QPolarChart.PolarOrientapythontionAngular) angularAxis.setRange(0, 20) # 必须设置范围,否则图表无法显示 # 设置 径向轴 radialAxis = QValueAxis() radialAxis.setTickCount(5) radialAxis.setLabelFormat("%d") polarChart.addAxis(radialAxis, QPolarChart.PolarOrientationRadial) radialAxis.setRange(0, 10) chartView.setChart(polarChart) chartView.setFocusPolicy(Qt.NoFocus) chartView.setRenderHint(QPainter.Antialiasing) vbox = QVBoxLayout() vbox.addWidget(chartView) self.setLayout(vbox) if __name__ == "__main__": app = QApplication(sys.argv) win = MyPolarWindow() win.show() sys.exit(app.exec_())
区域极坐标图
import sys import random import math from PyQt5.QtGui import * from PyQt5.QtCore import * from PyQt5.QtWidgets import * from PyQt5.QtCore import Qt from PyQt5.QtChart import QLineSeries, QAreaSeries, QPolarChart, QChart, QChartView, QValueAxis class MyPolarWindow(QWidget): def __init__(self, parent=None): super(MyPolarWindow, self).__init__(parent) self.setWindowTitle("区域极坐标图") # 创建图表 polarChart = QPolarChart() chartView = QChartView() # 创建Series series0 = QLineSeries() series1 = QLineSeries() # 添加数据 series0 << QPointF(1, 5) << QPointF(3, 7) << QPointF(7, 6) << QPointF(9, 7) \ << QPointF(12, 6) << QPointF(16, 7) << QPointF(18, 5) series1 << QPointF(1, 3) << QPointF(3, 4) << QPointF(7, 3) << QPointF(8, 2) \ << QPointF(12, 3) << QPointF(16, 4) << QPointF(18, 3) # 创建区域图 area = QAreaSeries(series0, series1) area.setName("折线极坐标图") polarChart.addSeries(area) polarChart.setContentsMargins(0, 0, 0, 0) polarChart.setTheme(QChart.ChartThemeBlueCerulean) # polarChart.createDefaultAxes() # 设置 角向轴 angularAxis = QValueAxis() angularAxis.setTickCount(9) angularAxis.setLabelFormat("%.2f") angularAxis.setShadesVisible(True) angularAxis.setShadesBrush(QBrush(QColor(230, 230, 255))) polarChart.addAxis(angularAxis, QPolarChart.PolarOrientationAngular) angularAxis.setRange(0, 50) # 必须设置范围,否则图表无法显示 # 设置 径向轴 radialAxis = QValueAxis() radialAxis.setTickCount(5) radialAxis.setLabelFormat("%d") polarChart.addAxis(radialAxis, QPolarChart.PolarOrientationRadial) radialAxis.setRange(0, 20) chartView.setChart(polarChart) chartView.setFocusPolicy(Qt.NoFocus) chartView.setRenderHint(QPainter.Antialiasing) vbox = QVBoxLayout() vbox.addWidget(chartView) self.setLayout(vbox) if __name__ == "__main__": app = QApplication(sys.argv) win = MyPolarWindow() win.show() sys.exit(app.exec_())
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