Pyqt QCustomPlot 简介、安装与实用代码示例(一)

news2024/12/27 11:48:12

目录

  • 简介
  • 安装
  • 实用代码示例
    • 带有填充的简单衰减正弦函数及其红色的指数包络线
    • 具有数据点的 sinc 函数、相应的误差条和 2--sigma 置信带
    • 几种散点样式的演示
    • 展示 QCustomPlot 在设计绘图方面的多功能性
  • 结语

所有文章除特别声明外,均采用 CC BY-NC-SA 4.0 许可协议。转载请注明来自 nixgnauhcuy’s blog!

如需转载,请标明出处!

完整代码我已经上传到 Github 上了,可前往 https://github.com/nixgnauhcuy/QCustomPlot_Pyqt_Study 获取。
完整文章路径:

  • Pyqt QCustomPlot 简介、安装与实用代码示例(一) | nixgnauhcuy
  • Pyqt QCustomPlot 简介、安装与实用代码示例(二) | nixgnauhcuy
  • Pyqt QCustomPlot 简介、安装与实用代码示例(三) | nixgnauhcuy
  • Pyqt QCustomPlot 简介、安装与实用代码示例(四) | nixgnauhcuy

简介

QCustomPlot 是一个用于绘图和数据可视化的 Qt C++ 小部件。它没有其他依赖项,并且有详细的文档说明。这个绘图库专注于制作高质量的、适合发表的二维图表和图形,同时在实时可视化应用中提供高性能。

QCustomPlot 可以导出为多种格式,例如矢量化的 PDF 文件和光栅化图像(如 PNG、JPG 和 BMP)。QCustomPlot 是在应用程序内部显示实时数据以及为其他媒体制作高质量图表的解决方案。

QCustomPlot is a Qt C++ widget for plotting and data visualization. It has no further dependencies and is well documented. This plotting library focuses on making good looking, publication quality 2D plots, graphs and charts, as well as offering high performance for realtime visualization applications. Have a look at the Setting Up and the Basic Plotting tutorials to get started.

QCustomPlot can export to various formats such as vectorized PDF files and rasterized images like PNG, JPG and BMP. QCustomPlot is the solution for displaying of realtime data inside the application as well as producing high quality plots for other media.

安装

推荐安装 QCustomPlot_PyQt5QCustomPlot2 目前许多源都无法下载,目前只有豆瓣源和腾讯源有(豆瓣源已失效)。

pip install QCustomPlot_PyQt5

or

pip install -i https://mirrors.cloud.tencent.com/pypi/simple/ QCustomPlot2

实用代码示例

官方提供了多个 demo,不过都是使用 qtC++实现的,由于我们使用的 pyqt,故使用 pyqt 实现。

带有填充的简单衰减正弦函数及其红色的指数包络线

A simple decaying sine function with fill and its exponential envelope in red

import sys, math

from PyQt5.QtWidgets import QApplication, QGridLayout, QWidget
from PyQt5.QtGui import QPen, QBrush, QColor
from PyQt5.QtCore import Qt
from QCustomPlot_PyQt5 import QCustomPlot, QCP, QCPAxisTickerTime, QCPRange


class MainForm(QWidget):

    def __init__(self) -> None:
        super().__init__()

        self.setWindowTitle("带有填充的简单衰减正弦函数及其红色的指数包络线")
        self.resize(400,400)

        self.customPlot = QCustomPlot(self)
        self.gridLayout = QGridLayout(self).addWidget(self.customPlot)

        # add two new graphs and set their look:
        self.customPlot.addGraph()
        self.customPlot.graph(0).setPen(QPen(Qt.blue)) # line color blue for first graph
        self.customPlot.graph(0).setBrush(QBrush(QColor(0, 0, 255, 20))) # first graph will be filled with translucent blue

        self.customPlot.addGraph()
        self.customPlot.graph(1).setPen(QPen(Qt.red)) # line color red for second graph

        # generate some points of data (y0 for first, y1 for second graph):
        x = []
        y0 = []
        y1 = []
        for i in range(251):
            x.append(i)
            y0.append(math.exp(-i/150.0)*math.cos(i/10.0)) # exponentially decaying cosine
            y1.append(math.exp(-i/150.0)) # exponential envelope

        self.customPlot.xAxis.setTicker(QCPAxisTickerTime())
        self.customPlot.xAxis.setRange(0, 250)
        self.customPlot.yAxis.setRange(-1.1, 1.1)

        # configure right and top axis to show ticks but no labels:
        # (see QCPAxisRect::setupFullAxesBox for a quicker method to do this)
        self.customPlot.xAxis2.setVisible(True)
        self.customPlot.xAxis2.setTickLabels(False)
        self.customPlot.yAxis2.setVisible(True)
        self.customPlot.yAxis2.setTickLabels(False)

        # pass data points to graphs:
        self.customPlot.graph(0).setData(x, y0)
        self.customPlot.graph(1).setData(x, y1)

        # let the ranges scale themselves so graph 0 fits perfectly in the visible area:
        self.customPlot.graph(0).rescaleAxes()
        # same thing for graph 1, but only enlarge ranges (in case graph 1 is smaller than graph 0):
        self.customPlot.graph(1).rescaleAxes(True)
        # Note: we could have also just called customPlot->rescaleAxes(); instead
        # Allow user to drag axis ranges with mouse, zoom with mouse wheel and select graphs by clicking:
        self.customPlot.setInteractions(QCP.iRangeDrag | QCP.iRangeZoom | QCP.iSelectPlottables)

        # make left and bottom axes always transfer their ranges to right and top axes:
        self.customPlot.xAxis.rangeChanged[QCPRange].connect(self.customPlot.xAxis2.setRange)
        self.customPlot.yAxis.rangeChanged[QCPRange].connect(self.customPlot.yAxis2.setRange)


if __name__ == '__main__':
    app = QApplication(sys.argv)
    mainForm = MainForm()
    mainForm.show()
    sys.exit(app.exec())

具有数据点的 sinc 函数、相应的误差条和 2–sigma 置信带

sinc function with data points, corresponding error bars and a 2-sigma confidence band

import sys, math, random

from PyQt5.QtWidgets import QApplication, QGridLayout, QWidget
from PyQt5.QtGui import QPen, QBrush, QColor, QFont
from PyQt5.QtCore import Qt, QLocale
from QCustomPlot_PyQt5 import QCustomPlot, QCPGraph, QCPScatterStyle, QCPErrorBars

class MainForm(QWidget):

    def __init__(self) -> None:
        super().__init__()

        self.setWindowTitle("具有数据点的 sinc 函数、相应的误差条和 2--sigma 置信带")
        self.resize(400,400)

        self.customPlot = QCustomPlot(self)
        self.gridLayout = QGridLayout(self).addWidget(self.customPlot)

        self.customPlot.legend.setVisible(True)
        self.customPlot.legend.setFont(QFont("Helvetica",9))
        # set locale to english, so we get english decimal separator:
        self.customPlot.setLocale(QLocale(QLocale.English, QLocale.UnitedKingdom))

        # add confidence band graphs:
        self.customPlot.addGraph()
        self.pen = QPen(Qt.PenStyle.DotLine)
        self.pen.setWidth(1)
        self.pen.setColor(QColor(180,180,180))
        self.customPlot.graph(0).setName("Confidence Band 68%")
        self.customPlot.graph(0).setPen(self.pen)
        self.customPlot.graph(0).setBrush(QBrush(QColor(255,50,30,20)))
        self.customPlot.addGraph()
        self.customPlot.legend.removeItem(self.customPlot.legend.itemCount()-1) # don't show two confidence band graphs in legend
        self.customPlot.graph(1).setPen(self.pen)
        self.customPlot.graph(0).setChannelFillGraph(self.customPlot.graph(1))
        
        # add theory curve graph:
        self.customPlot.addGraph()
        self.pen.setStyle(Qt.PenStyle.DashLine)
        self.pen.setWidth(2)
        self.pen.setColor(Qt.GlobalColor.red)
        self.customPlot.graph(2).setPen(self.pen)
        self.customPlot.graph(2).setName("Theory Curve")
        # add data point graph:
        self.customPlot.addGraph()
        self.customPlot.graph(3).setPen(QPen(Qt.GlobalColor.blue))
        self.customPlot.graph(3).setLineStyle(QCPGraph.lsNone)
        self.customPlot.graph(3).setScatterStyle(QCPScatterStyle(QCPScatterStyle.ssCross, 4))
        # add error bars:
        self.errorBars = QCPErrorBars(self.customPlot.xAxis, self.customPlot.yAxis)
        self.errorBars.removeFromLegend()
        self.errorBars.setAntialiased(False)
        self.errorBars.setDataPlottable(self.customPlot.graph(3))
        self.errorBars.setPen(QPen(QColor(180,180,180)))
        self.customPlot.graph(3).setName("Measurement")
        
        # generate ideal sinc curve data and some randomly perturbed data for scatter plot:
        x0 = []
        y0 = []
        yConfUpper = []
        yConfLower = []
        for i in range(250):
            x0.append((i/249.0-0.5)*30+0.01) # by adding a small offset we make sure not do divide by zero in next code line
            y0.append(math.sin(x0[i])/x0[i]) # sinc function
            yConfUpper.append(y0[i]+0.15)
            yConfLower.append(y0[i]-0.15)
            x0[i] *= 1000
        x1 = []
        y1 = []
        y1err = []
        for i in range(50):
            # generate a gaussian distributed random number:
            tmp1 = random.random()
            tmp2 = random.random()
            r = math.sqrt(-2*math.log(tmp1))*math.cos(2*math.pi*tmp2) # box-muller transform for gaussian distribution
            # set y1 to value of y0 plus a random gaussian pertubation:
            x1.append((i/50.0-0.5)*30+0.25)
            y1.append(math.sin(x1[i])/x1[i]+r*0.15)
            x1[i] *= 1000
            y1err.append(0.15)
        # pass data to graphs and let QCustomPlot determine the axes ranges so the whole thing is visible:
        self.customPlot.graph(0).setData(x0, yConfUpper)
        self.customPlot.graph(1).setData(x0, yConfLower)
        self.customPlot.graph(2).setData(x0, y0)
        self.customPlot.graph(3).setData(x1, y1)
        self.errorBars.setData(y1err, y1err)
        self.customPlot.graph(2).rescaleAxes()
        self.customPlot.graph(3).rescaleAxes(True)
        # setup look of bottom tick labels:
        self.customPlot.xAxis.setTickLabelRotation(30)
        self.customPlot.xAxis.ticker().setTickCount(9)
        self.customPlot.xAxis.setNumberFormat("ebc")
        self.customPlot.xAxis.setNumberPrecision(1)
        self.customPlot.xAxis.moveRange(-10)
        # make top right axes clones of bottom left axes. Looks prettier:
        self.customPlot.axisRect().setupFullAxesBox()

if __name__ == '__main__':
    app = QApplication(sys.argv)
    mainForm = MainForm()
    mainForm.show()
    sys.exit(app.exec())

几种散点样式的演示

A demonstration of several scatter point styles

import sys, math

from PyQt5.QtWidgets import QApplication, QGridLayout, QWidget
from PyQt5.QtGui import QPen, QColor, QFont, QPainterPath
from PyQt5.QtCore import Qt
from QCustomPlot_PyQt5 import QCustomPlot, QCPGraph, QCPScatterStyle

class MainForm(QWidget):

    def __init__(self) -> None:
        super().__init__()

        self.setWindowTitle("几种散点样式的演示")
        self.resize(400,400)

        self.customPlot = QCustomPlot(self)
        self.gridLayout = QGridLayout(self).addWidget(self.customPlot)

        self.customPlot.legend.setVisible(True)
        self.customPlot.legend.setFont(QFont("Helvetica", 9))
        self.customPlot.legend.setRowSpacing(-3)

        shapes = [
            QCPScatterStyle.ssCross, 
            QCPScatterStyle.ssPlus, 
            QCPScatterStyle.ssCircle, 
            QCPScatterStyle.ssDisc, 
            QCPScatterStyle.ssSquare, 
            QCPScatterStyle.ssDiamond, 
            QCPScatterStyle.ssStar, 
            QCPScatterStyle.ssTriangle, 
            QCPScatterStyle.ssTriangleInverted, 
            QCPScatterStyle.ssCrossSquare, 
            QCPScatterStyle.ssPlusSquare, 
            QCPScatterStyle.ssCrossCircle, 
            QCPScatterStyle.ssPlusCircle, 
            QCPScatterStyle.ssPeace, 
            QCPScatterStyle.ssCustom
        ]
        shapes_names = [
            "ssCross",
            "ssPlus",
            "ssCircle",
            "ssDisc",
            "ssSquare",
            "ssDiamond",
            "ssStar",
            "ssTriangle",
            "ssTriangleInverted",
            "ssCrossSquare",
            "ssPlusSquare",
            "ssCrossCircle",
            "ssPlusCircle",
            "ssPeace",
            "ssCustom"
        ]

        self.pen = QPen()
        # add graphs with different scatter styles:
        for i in range(len(shapes)):
            self.customPlot.addGraph()
            self.pen.setColor(QColor(int(math.sin(i*0.3)*100+100), int(math.sin(i*0.6+0.7)*100+100), int(math.sin(i*0.4+0.6)*100+100)))

            # generate data:
            x = [k/10.0 * 4*3.14 + 0.01 for k in range(10)]
            y = [7*math.sin(x[k])/x[k] + (len(shapes)-i)*5 for k in range(10)]

            self.customPlot.graph(i).setData(x, y)
            self.customPlot.graph(i).rescaleAxes(True)
            self.customPlot.graph(i).setPen(self.pen)
            self.customPlot.graph(i).setName(shapes_names[i])
            self.customPlot.graph(i).setLineStyle(QCPGraph.lsLine)

            # set scatter style:
            if shapes[i] != QCPScatterStyle.ssCustom:
                self.customPlot.graph(i).setScatterStyle(QCPScatterStyle(shapes[i], 10))
            else:
                customScatterPath = QPainterPath()
                for j in range(3):
                    customScatterPath.cubicTo(math.cos(2*math.pi*j/3.0)*9, math.sin(2*math.pi*j/3.0)*9, math.cos(2*math.pi*(j+0.9)/3.0)*9, math.sin(2*math.pi*(j+0.9)/3.0)*9, 0, 0)
                self.customPlot.graph(i).setScatterStyle(QCPScatterStyle(customScatterPath, QPen(Qt.black, 0), QColor(40, 70, 255, 50), 10))

        # set blank axis lines:
        self.customPlot.rescaleAxes()
        self.customPlot.xAxis.setTicks(False)
        self.customPlot.yAxis.setTicks(False)
        self.customPlot.xAxis.setTickLabels(False)
        self.customPlot.yAxis.setTickLabels(False)

        # make top right axes clones of bottom left axes:
        self.customPlot.axisRect().setupFullAxesBox()

if __name__ == '__main__':
    app = QApplication(sys.argv)
    mainForm = MainForm()
    mainForm.show()
    sys.exit(app.exec())

展示 QCustomPlot 在设计绘图方面的多功能性

Demonstrating QCustomPlot’s versatility in styling the plot

import sys, math, random

from PyQt5.QtWidgets import QApplication, QGridLayout, QWidget
from PyQt5.QtGui import QPen, QColor, QFont, QBrush, QLinearGradient
from PyQt5.QtCore import Qt
from QCustomPlot_PyQt5 import QCustomPlot, QCPGraph, QCPScatterStyle, QCPBars, QCPLineEnding

class MainForm(QWidget):

    def __init__(self) -> None:
        super().__init__()

        self.setWindowTitle("展示 QCustomPlot 在设计绘图方面的多功能性")
        self.resize(600,400)

        self.customPlot = QCustomPlot(self)
        self.gridLayout = QGridLayout(self).addWidget(self.customPlot)

        # prepare data:
        x1 = [i/(20-1)*10 for i in range(20)]
        y1 = [math.cos(x*0.8+math.sin(x*0.16+1.0))*math.sin(x*0.54)+1.4 for x in x1]
        x2 = [i/(100-1)*10 for i in range(100)]
        y2 = [math.cos(x*0.85+math.sin(x*0.165+1.1))*math.sin(x*0.50)+1.7 for x in x2]
        x3 = [i/(20-1)*10 for i in range(20)]
        y3 = [0.05+3*(0.5+math.cos(x*x*0.2+2)*0.5)/(x+0.7)+random.random()/100 for x in x3]
        x4 = x3
        y4 = [(0.5-y)+((x-2)*(x-2)*0.02) for x,y in zip(x4,y3)]

        # create and configure plottables:
        graph1 = QCPGraph(self.customPlot.xAxis, self.customPlot.yAxis)
        graph1.setData(x1, y1)
        graph1.setScatterStyle(QCPScatterStyle(QCPScatterStyle.ssCircle, QPen(Qt.black, 1.5), QBrush(Qt.white), 9))
        graph1.setPen(QPen(QColor(120, 120, 120), 2))

        graph2 = QCPGraph(self.customPlot.xAxis, self.customPlot.yAxis)
        graph2.setData(x2, y2)
        graph2.setPen(QPen(Qt.PenStyle.NoPen))
        graph2.setBrush(QColor(200, 200, 200, 20))
        graph2.setChannelFillGraph(graph1)

        bars1 = QCPBars(self.customPlot.xAxis, self.customPlot.yAxis)
        bars1.setWidth(9/(20-1))
        bars1.setData(x3, y3)
        bars1.setPen(QPen(Qt.PenStyle.NoPen))
        bars1.setBrush(QColor(10, 140, 70, 160))

        bars2 = QCPBars(self.customPlot.xAxis, self.customPlot.yAxis)
        bars2.setWidth(9/(20-1))
        bars2.setData(x4, y4)
        bars2.setPen(QPen(Qt.PenStyle.NoPen))
        bars2.setBrush(QColor(10, 100, 50, 70))
        bars2.moveAbove(bars1)

        # move bars above graphs and grid below bars:
        self.customPlot.addLayer("abovemain", self.customPlot.layer("main"), QCustomPlot.limAbove)
        self.customPlot.addLayer("belowmain", self.customPlot.layer("main"), QCustomPlot.limBelow)
        graph1.setLayer("abovemain")
        self.customPlot.xAxis.grid().setLayer("belowmain")
        self.customPlot.yAxis.grid().setLayer("belowmain")

        # set some pens, brushes and backgrounds:
        self.customPlot.xAxis.setBasePen(QPen(Qt.white, 1))
        self.customPlot.yAxis.setBasePen(QPen(Qt.white, 1))
        self.customPlot.xAxis.setTickPen(QPen(Qt.white, 1))
        self.customPlot.yAxis.setTickPen(QPen(Qt.white, 1))
        self.customPlot.xAxis.setSubTickPen(QPen(Qt.white, 1))
        self.customPlot.yAxis.setSubTickPen(QPen(Qt.white, 1))
        self.customPlot.xAxis.setTickLabelColor(Qt.white)
        self.customPlot.yAxis.setTickLabelColor(Qt.white)
        self.customPlot.xAxis.grid().setPen(QPen(QColor(140, 140, 140), 1, Qt.DotLine))
        self.customPlot.yAxis.grid().setPen(QPen(QColor(140, 140, 140), 1, Qt.DotLine))
        self.customPlot.xAxis.grid().setSubGridPen(QPen(QColor(80, 80, 80), 1, Qt.DotLine))
        self.customPlot.yAxis.grid().setSubGridPen(QPen(QColor(80, 80, 80), 1, Qt.DotLine))
        self.customPlot.xAxis.grid().setSubGridVisible(True)
        self.customPlot.yAxis.grid().setSubGridVisible(True)
        self.customPlot.xAxis.grid().setZeroLinePen(QPen(Qt.PenStyle.NoPen))
        self.customPlot.yAxis.grid().setZeroLinePen(QPen(Qt.PenStyle.NoPen))
        self.customPlot.xAxis.setUpperEnding(QCPLineEnding(QCPLineEnding.esSpikeArrow))
        self.customPlot.yAxis.setUpperEnding(QCPLineEnding(QCPLineEnding.esSpikeArrow))

        plotGradient = QLinearGradient()
        plotGradient.setStart(0, 0)
        plotGradient.setFinalStop(0, 350)
        plotGradient.setColorAt(0, QColor(80, 80, 80))
        plotGradient.setColorAt(1, QColor(50, 50, 50))
        self.customPlot.setBackground(plotGradient)
        axisRectGradient = QLinearGradient()
        axisRectGradient.setStart(0, 0)
        axisRectGradient.setFinalStop(0, 350)
        axisRectGradient.setColorAt(0, QColor(80, 80, 80))
        axisRectGradient.setColorAt(1, QColor(30, 30, 30))
        self.customPlot.axisRect().setBackground(axisRectGradient)
        self.customPlot.rescaleAxes()
        self.customPlot.yAxis.setRange(0, 2)
        self.customPlot.legend.setVisible(True)
        self.customPlot.legend.setFont(QFont("Helvetica", 9))
        self.customPlot.legend.setRowSpacing(-3)
 

if __name__ == '__main__':
    app = QApplication(sys.argv)
    mainForm = MainForm()
    mainForm.show()
    sys.exit(app.exec())

结语

官网给的示例太多了,一篇塞进太多内容也不好,所以其他的示例放在后面吧,后续有空再更新出来~

本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如若转载,请注明出处:http://www.coloradmin.cn/o/1834658.html

如若内容造成侵权/违法违规/事实不符,请联系多彩编程网进行投诉反馈,一经查实,立即删除!

相关文章

基于uni-app和图鸟UI的智慧校园圈子小程序开发实践

摘要: 随着教育信息化和“互联网教育”的快速发展,智慧校园建设已成为推动校园管理现代化、提高教育教学质量的重要手段。本文介绍了基于uni-app和图鸟UI开发的智慧校园圈子小程序,旨在通过一站式服务、个性化定制、数据互通和安全可靠等特点…

outline server 服务搭建到 Ubuntu

安装outline manager到本地电脑 Windows版: https://github.com/Jigsaw-Code/outline-releases/blob/master/manager/Outline-Manager.exe MacOS版 https://github.com/Jigsaw-Code/outline-releases/blob/master/manager/Outline-Manager.dmg 启动outline manager 点击…

Proteus8.13安装及使用

Proteus安装包下载地址 具体安装方法如下: 退出所有杀毒软件,右键以管理员身份运行 如果缺插件安装插件然后点击安装 如果遇到这种需要勾选的都勾选 安装插件完成 安装过程: 安装完成后桌面会自动出现图标 注意这个安装包是免破解的, 安装好以后可以直接使用 打…

使用人工智能帮忙盲人进行环境地图绘制

介绍 据报道,仓鼠、狼、黑猩猩和蝙蝠等智能动物可以学习环境地图,并选择适当的行动路径。 因此,机器人自我定位和绘制环境地图以实现智能行为被认为是非常重要的。 另一方面,如果通过机器学习(如神经网络&#xff0…

【scrapy】爬虫,从429状态码说起

许久未爬,发现爬不动了,哈哈哈,记录下这次失败的爬取经历 问题描述 针对这样的一个网站: https://www.farfetch.cn/cn/shopping/women/dresses-1/items.aspx?page1&view96&sort3 需求: 1.需要爬取列表页…

MySQL中的客户端选项(二)

在全局选项文件之后读取此选项文件,但(在Unix上)在用户选项文件之前读取。如果文件不存在或无法访问,则会发生错误。如果file_name不是绝对路径名,则会相对于当前目录进行解释。 仅使用给定的选项文件。如果文件不存在…

HACH哈希紫外可见光分光光度计维修DR6000

DR3900可见分光光度计内置准双光束光学系统,自动校准波长,该可见光分光光度计预置200多个用户程序,几乎覆盖常规水质参数,彩色触屏搭载中文操作界面,可自动分析检测并存储2000组实验数据,是一款测量准确的可…

《EDA技术》 Quartus图3—4实验报告

目录 一:结构描述方式 1.1创建工程 1.1.1点击New Project Wizard,创建t34工程。 1.1.2设置工程路径和名称(t34) 1.2设计门电路 1.2.1设计三输入或非门VHDL程序 1.2.2 设计非门VHDL程序 ​编辑 1.2.3 设计二输入或非门VHD…

ubuntu16因swap分区uuid错误启动慢排查

感觉ubuntu16启动特别慢 dmesg查看如下: [ 10.050123] audit: type1400 audit(1718608189.395:11): apparmor"STATUS" operation"profile_load" profile"unconfined" name"webbrowser-app//oxide_helper" pid708 comm&q…

【测试专题】系统测试报告(原件Word)

软件测试报告在软件开发过程中起着至关重要的作用,主要有以下几个主要原因: 1、确保软件质量 2、提供决策支持 3、记录测试过程和结果 4、促进沟通和协作 5、符合标准和法规要求 6、改进测试流程和策略 7、降低风险 软件开发全套资料获取进主页或者本文末…

查询Kafka集群中消费组(group)信息和对应topic的消费情况

个人名片 🎓作者简介:java领域优质创作者 🌐个人主页:码农阿豪 📞工作室:新空间代码工作室(提供各种软件服务) 💌个人邮箱:[2435024119qq.com] &#x1f4f1…

一款超好用的国产 Redis 可视化工具,真香!

哈喽,大家好,我是黑板报君,一个资深的软件开发工程师,致力于为大家分享各领域优质开源项目,开发前沿技术以及互联网技术圈动态。 添加图片注释,不超过 140 字(可选) 日常开发过程中…

VBA学习(5):批量生成小饼图

之前给大家分享了如何用一个函数制作各种常见图表,之后有朋友问,下图中表示精确占比的饼图是怎么批量生成的? 批量生成小饼图有两种常用的方法,一种是用插件,比如Sparklines;另外一种是自己动手丰衣足食&am…

UDS诊断、ECU刷写、OTA升级、Tbox测试、CANoe实操

每天的直播时间: 周一至周五:20:00-23:00 周六与周日:9:00-12:00,14:00-17:00 TBOX 深圳 涉及过T-BOX测试吗Ota升级涉及的台架环境是什么样的?上…

位图法-有效的数独

有效的数独,主要是判断每行每列每宫有无重复元素。 每行每列用二重循环,每宫比较复杂,需要考虑每一宫的坐标与二重循环ij对应关系 行i,每一宫3行,3列 x3*(i/3)j/3 y3*(i%3)j%3

计算机考研|双非计算机专业是考研还是就业?主要看这一点!

去看一看招聘就知道了,看看公司需要的开发或者计算机岗位要求的东西你在本科的时候有没有精通的 如果你发现:哎?看着招聘的要求好像本科多少都接触过,但现在已经忘得差不多了,或者是,哦,我知道…

金蝶云星空程序员开发快速入门

文章目录 一 前言1.1 学习步骤1.2 学习需知 二、学习金蝶*云星空的步骤2.1 下载金蝶*云星空安装到本地2.2 查看官网的学习资料2.3 如何使用C#进行插件开发2.4 sqlserver的表设计以及存储过程2.5 如何使用python进行插件的开发2.6 第三方程序如何调用金蝶*云星空的数据 三 后记 …

移动硬盘数据恢复,6个亲测有效方法公开!

“我的移动硬盘已经用了很久了,最近不知道是怎么回事,里面有部分重要的数据居然不见了。想问问大家有什么方法可以恢复移动硬盘的数据吗?” 在数字时代的浪潮中,移动硬盘已成为我们存储和携带数据的重要工具。从海量的工作文档、珍…

在虚拟机中安装centos系统,及通过安装包安装jdk1.8,mysql5.7,redis7.2

在虚拟机中安装centos系统,及通过安装包安装jdk1.8,mysql5.7,redis7.2 第一章 CentOS7的下载1.1.使用阿里云开源镜像站下载。第二章 CentOS7的配置2.1.通过VMware 创建一个CentOS7虚拟机2.1.1.打开软件,点击如箭头所示按钮,创建虚拟机2.1.2.点击自定义,之后点击下一步2.1.3…

【触想智能】工业显示器定制时需要注意的重点问题

随着工业自动化的不断发展,工业显示器越来越重要。不同于普通的娱乐和商业应用,工业显示器需要更加耐用、可靠、安全,并且满足特定的工业环境和应用需求。 因此,仔细考虑和选择适合自己的工业显示器至关重要。本文将介绍一些您在进…