PyQt5+QtChart实现绘制极坐标图
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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()
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))
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)
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()
vbox.addWidget(chartView)
self.setLayout(vbox)
if __name__ == "__main__":
app = QApplication(sys.argv)
win = MyPolarWindow()
win.show()
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)
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()
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_())
以上就是PyQt5+QtChart实现绘制极坐标图的详细内容，更多关于PyQt5 QtChart极坐标图的资料请关注编程网其它相关文章！
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