Jiro's pick this week is VARYCOLOR by Daniel Helmick. Have you ever had to plot many lines on a single graph and you had to construct additional set of colors to augment the... read more >>
Colors for Your Multi-Line Plots 14
- Category:
- Picks
Jiro's pick this week is VARYCOLOR by Daniel Helmick. Have you ever had to plot many lines on a single graph and you had to construct additional set of colors to augment the... read more >>
Often if you make a surface plot with SURF for a large dataset, it will appear all black because MATLAB is trying to draw all the edge lines. You can stop these lines from obscuring your data by… read more >>
Aldo Caraceto, one of our Application Engineers from Italy, recently wrote to tell us about a new post on the File Exchange. He noted that this file was particularly cool because "it offers a... read more >>
People often make their own GUIs in GUIDE and they have a data visualization. When you embed an axis in your own GUI rather than using a figure window, you lose the built in toolbar that has zoom,… read more >>
Today’s challenge is one where you need to figure out if two rectangles have a non-zero area of overlap.
The rectangles will be specified as follows:
Just fill in your part of the code until… read more >>
Jiro's pick this week is NEWFCN by Frank González-Morphy.
We all have our own style of writing functions in MATLAB. I've adopted a convention that is similar to the "best practice"
that The... read more >>
This week we will be looking at the MATLAB class system. This video does not cover the “why” of doing OOP (Object Oriented Programming) in MATLAB. It just covers a very simple example of… read more >>
This was a fun little puzzle. I wonder how many people got to the first image, but did not continue to the real solution! Contents Load the data and... read more >>
This is a puzzler without explanation. Brett got it in about five minutes, some of the other folks wandering near my office got it in just under 20.
The data to explore.
Remember to use the… read more >>
This short video shows how you can take a sparsely sampled sine wave and use interp1 to interpolate the missing data points. Different interpolations such as linear, spline and nearest are all shown…. read more >>
These postings are the author's and don't necessarily represent the opinions of MathWorks.