需要用到QwtPlotRescaler类,用法如下: QwtPlotRescaler *plotRescaler = new QwtPlotRescaler(canvas, yLeft, QwtPlotRescaler::Fitting ); plotRescaler->setExpandingDirection(QwtPlotRescaler::ExpandBoth); 其构造函数可以设置参考坐标轴,及其缩放动作,默认其他轴与参考轴的比例为1.0.setExpandingDirection函数

python信用评分卡(附代码,博主录制) https://study.163.com/course/introduction.htm?courseId=1005214003&utm_campaign=commission&utm_source=cp-400000000398149&utm_medium=share  banking case1 http://ucanalytics.com/blogs/data-visualization-case-study-banking/ A

7 Tools for Data Visualization in R, Python, and Julia Last week, some examples of creating visualizations with htmlwidgets and R were presented. Fortunately, there are many more options available for creating nice visualizations. Tools and libraries

对数据可视化比较有兴趣,因此最近在看coursera上伊利诺伊大学香槟分校的数据可视化课程,做了一些笔记. 1. 定义 Data visualization is a high bandwidth connection between data on a computer system and a human brain, facilitated by visual communication. 2. 特征 洞悉数据,通过对数据的深入观察来帮助做进一步的决策,为后续探索研究提供进一步的假设. 3

A Quick Overview of the ggplot2 Package in R While it will be important to focus on theory, I want to explain the ggplot2 package because I will be using it throughout the rest of this series. Knowing how it works will keep the focus on the results r

Introduction to Data Visualization – Theory, R & ggplot2 The topic of data visualization is very popular in the data science community. The market size for visualization products is valued at $4 Billion and is projected to reach $7 Billion by the end

D3.js & Data Visualization & SVG https://davidwalsh.name/learning-d3 // import {scaleLinear} from "d3-scale"; // import * as d3 from "d3"; // datas const dataset = [12, 31, 22, 17, 25, 18, 29, 14, 9]; // view const w = 500; con

charts & data visualization https://www.sitepoint.com/15-best-javascript-charting-libraries/ Canvas https://www.chartjs.org/samples/latest/ SVG https://d3js.org/ WebGL, OpenGL https://threejs.org/

Bokeh Data Visualization | DataCamp https://www.datacamp.com/courses/interactive-data-visualization-with-bokeh Bokeh is an interactive data visualization library for Python (and other languages!) that targets modern web browsers for presentation. It

Introduction to Data Visualization with Python | DataCamp https://www.datacamp.com/courses/introduction-to-data-visualization-with-python This course extends Intermediate Python for Data Science to provide a stronger foundation in data visualization

Data visualization - Wikipedia https://en.wikipedia.org/wiki/Data_visualization Data visualization or data visualisation is viewed by many disciplines as a modern equivalent of visual communication. It involves the creation and study of the visual re

Data Visualization: Principles and Practice

课程地址: https://classroom.udacity.com/courses/ud507 什么是数据可视化? 高效传达一个故事/概念,探索数据的pattern 通过颜色.尺寸.形式在视觉上表示基础数据和storytelling,然后得到一些发现 数据可视化是一种从值到图像的映射,将结构化的数据信息转化为更易理解的视觉图像. 什么是好的数据可视化?[by Cole Nussbaumer] 对内容有透彻的理解,知道谁是观众.他们想得到什么? 数据展示,选择恰当的图像类型 排除无效信息,删除

这次来学学Qt chart 的坐标轴 有这么一组数据: 这是深圳市2019年6月份的天气预报(来自中国天气网:深圳),里面有每天的最高温度,把这最高温度做成个数组,如下: int daily_temp_max[30] = [32, 31,30,30,31,32,32,32, 32,32,32,31,31,31,31, 30,30,31,32,32,33,33, 30,30,30,30,31,31,31, 33]; 按照之前的笔记,建立一个可以用Qt Chart的工程,并把上面的数据用折线图显示出

QPixmap pixmap(path); //pixmap=QPixmap::fromImage(imgShow); pixmap = pixmap.scaled(, , Qt::KeepAspectRatio, Qt::SmoothTransformation); // 按比例缩放 ui->logo->setPixmap(pixmap); fromImage可以将QImage转换为QPixmap.scaled可以实现等比缩放

最近接触到个pro需要做到这方面,于是找了相关材料,也跟好些人讨论,目前就最简单的使用方法,通过按钮触发去控制 X,Y轴的移动,比例自己定义 这个是X轴放大的 QwtInterval tempIntervalX = Gas_plot->axisScaleDiv(QwtPlot::xBottom).interval(); //标定是X,返回X轴的数据,interval是返回尺寸 Xmax = tempIntervalX.maxValue(); //获取x轴的最大尺寸 Xmin = tempInte

Learn how humans work to create a more effective computer interface 三种reasoning的方式  Deductive Reasoning (演绎推理): Basically drawing a conclusion based on the data. Inductive Reasoning (归纳推理): If something is ture for x, then it's true for x+1; if it's

2-D Graphics vector graphics : the graphics that used for drawing shapes with vertices, strokes and fills. raster graphics (光栅图形): a rectilinear ray of pixels and these pixels are assigned colors and by assigning. 一般用vector graphic去描绘点或者线:raster grap

import csv filename = 'ch02-data.csv' data = [] try: with open(filename) as f://用with语句将数据文件绑定到对象f reader = csv.reader(f) header = next(reader)//Python 3.X 用的是next() data = [row for row in reader] except csv.Error as e: print('Error reading CSV file

http://bbs.csdn.net/topics/390872329 已解决,,,我问是刷新图用的,,我以为mypane.YAxis.Scale.Min=0; mypane.YAxis.Scale.Miax=4000; mypane.XAxis.Scale.Min=0; mypane.XAxis.Scale.Miax=4000;  会将坐标轴锁死,其实没有 每次定时器都做以上语句,,我缩放后起效果了,只不过该语句写到了定时器内部,所以缩放后又被刷成我设的那个坐标轴了,,, 把以上语句移到定时

通过适配器可以在ExtJs中轻松的集成D3的展示能力 http://video.sencha.com/watch/zvUjnFJ91xVvuwdTh2zjqP?mkt_tok=eyJpIjoiWm1aaE1USmxNalZrWkRjeiIsInQiOiJjN0pTRHUrd2dWNjA3VVFDaitidTJ3QVd2NnJUMjk4SmF4SUlcL1BNbHdOcURNblViZVJNUTljakVvZGVpVXF3am1FQXlyWGthNmw5WXI3aVRFMFBTbTZhWmZ2eC