1、实现效果
2、环境:
确认已经安装pyqtgraph
的模块,如果没有安装,使用命令安装:
pip install pyqtgraph
3、代码实现:
绘制折线函数:
import sys import random from pyside6.qtwidgets import qapplication, qgraphicsview, qgraphicsscene, qgraphicsitem from pyside6.qtcore import qt, qpointf, qrectf, qtimer from pyside6.qtgui import qpainter, qpen, qcolor, qfont class scrollablelinegraph(qgraphicsitem): def __init__(self, data): """ 初始化线图项,设置初始显示范围和数据 :param data: 要显示的数据列表 """ super().__init__() self.data = data self.current_start = 0 # 当前显示的起始索引 self.bounding_rect = qrectf(0, 0, 900, 200) # 线图的边界矩形 def boundingrect(self): """ 返回线图的边界矩形,用于确定绘制区域 :return: 矩形边界 """ return self.bounding_rect def paint(self, painter, option, widget): """ 绘制线图,包括坐标轴、刻度和数据线 :param painter: 绘制工具 :param option: 绘制选项 :param widget: 关联的窗口部件 """ painter.setrenderhint(qpainter.antialiasing) # 开启抗锯齿 axis_pen = qpen(qcolor(255, 255, 255)) # 坐标轴线颜色 line_pen = qpen(qcolor(255, 0, 0)) # 数据线颜色 text_font = qfont() # 字体设置 # 绘制x轴 painter.setpen(axis_pen) painter.drawline(0, 200, 900, 200) # 绘制x轴刻度和标签 for i in range(0, 20, 1): x = (i - self.current_start) * 45 if 0 <= x < 900: painter.drawline(x, 200, x, 210) painter.drawtext(x - 5, 220, str(i + self.current_start)) # 绘制y轴 painter.drawline(0, 0, 0, 200) # 绘制y轴刻度和标签 for i in range(0, 5): y = 200 - 45 * i painter.drawline(-5, y, 0, y) painter.drawtext(-20, y - 5, str(i * 20)) #10:表示y坐标值间隔大小 # 绘制y轴刻度和标签,给每个标签添加上横向网格,网格为点状虚线 for i in range(0, 5): y = 200 - 45 * i # 网格为点状虚线 painter.setpen(qpen(qcolor(128, 128, 128), 0.5, qt.dashline)) # painter.drawline(-5, y, 0, y) # painter.drawtext(-20, y - 5, str(i * 10)) painter.drawline(0, y, 900, y) # 假设已经初始化了painter对象等必要的准备工作 # 定义一些常量,提高代码的可读性 canvas_height = 200 scale_factor = 45 label_offset = -20 grid_line_width = 0.5 grid_line_color = qcolor(128, 128, 128) grid_line_style = qt.dashline max_labels = 10 # 新增:封装绘制网格线和刻度标签的函数 def draw_scale_and_grid(painter, y_position, label): """ 绘制y轴刻度和标签以及对应的横向网格线 :param painter: qpainter对象,用于绘制 :param y_position: y轴位置 :param label: 刻度标签的文本 """ try: # 绘制网格线 painter.setpen(qpen(grid_line_color, grid_line_width, grid_line_style)) painter.drawline(-5, y_position, 0, y_position) # 绘制刻度标签 painter.drawtext(-label_offset, y_position - 5, label) # 绘制右侧网格线 painter.drawline(0, y_position, 900, y_position) except exception as e: print(f"error during drawing scale and grid: {e}") # 主绘制逻辑 try: for i in range(max_labels + 1): # 由于范围是从0到10,因此循环次数应为max_labels + 1 y = canvas_height - scale_factor * i # 检查y位置是否在画布内,若不在则跳过 if y < 0: break label = str(i * 10) # draw_scale_and_grid(painter, y, label) except exception as e: print(f"unexpected error occurred: {e}") # 假设在这段代码的末尾,有适当的资源释放逻辑,例如painter对象的销毁等 # 设置字体 painter.setfont(text_font) # 绘制x轴和y轴标签 painter.drawtext(900, 205, "time") painter.rotate(-90) painter.drawtext(-30,10, "value") painter.rotate(90) # 绘制数据线 painter.setpen(line_pen) painter.setrenderhint(qpainter.smoothpixmaptransform) last_point = qpointf(0, 200 - self.data[self.current_start]) for i in range(self.current_start, min(self.current_start + 50, len(self.data))): x = (i - self.current_start) * 45 y = 200 - self.data[i] painter.drawline(last_point, qpointf(x, y)) last_point = qpointf(x, y)
在qt designer的widget页面添加graphics view,命名为graphicsview
在页面类中定义图表初始化和数据更新方法:
def graphwidget_uiinit(self): data = [] scene = qgraphicsscene(self.graphicsview) self.graphicsview.setscene(scene) self.data_graph = scrollablelinegraph(data) scene.additem(self.data_graph) scene.setbackgroundbrush self.graphicsview.setrenderhint(qpainter.antialiasing) self.graphicsview.setfixedsize(960, 240) self.graphicsview.setscenerect(0, 0, 900, 220) self.graphicsview.sethorizontalscrollbarpolicy(qt.scrollbarasneeded) # # 设置定时器,用于动态更新数据 # self.timer = qtimer(self) # self.timer.timeout.connect(self.update_data) # self.timer.start(60) # 每500毫秒触发一次 def update_data(self): #随机数据 # new_data = random.randint(0, 100) # self.data_graph.data.append(new_data) #将字符串数据转换成int类型的列表数据 datastr8 = "100 30 178 100 69 60 98 98 79 50 30 20 29 58 69 39 98 29 32" list_from_string8 = datastr8.split() number_list8 = list(map(int, list_from_string8)) self.data_graph.data = number_list8 self.data_graph.current_start = max(0, len(self.data_graph.data) - 50) self.data_graph.update()
参考资料:
https://blog.csdn.net/hyd_csdn/article/details/140644014
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