Showing posts with label sigmaplot. Show all posts
Showing posts with label sigmaplot. Show all posts

Thursday, September 19, 2013

windrose plot by sigmaplot and matlab

I used two methods to plot wind direction and speed data: Sigmaplot and Matlab.
To correctly show the wind is blowing from the degree, say 10 degree, I need to check the 'clock wise' option. Otherwise the direction will be wrong.
When I used the wind_rose.m, which is downloaded from this link:
http://www.mathworks.com/matlabcentral/fileexchange/17748-windrose
the correct way is to use D-180, and set the 'dtype' to 'meteo'.

This way the two plots made by two different methods will be consistent and correct.

Friday, October 14, 2011

Best way to make a stairs graph

Today I got two sets of data and wanted to present them in one stairs graph. So I tried Excel, MATLAB, and Sigmaplot. The conclusion is that Sigmaplot is the best software to draw something like this figure:

The plotyy function in matlab can be used to create figures with secondary Y axis, however, if you manually set the Xticklabel, the labels will be messed up, like this figure shows:

Sunday, August 1, 2010

Use Sigmaplot to export high quality .TIF/.TIFF file

Sigmaplot is a powerful tool for drawing scientific charts, and it is also powerful at exporting high quality .TIF/.TIFF file, which can be directly submitted to the journal editors. Here's what I found out how to get high quality images from Sigmaplot:

Firstly, scale down the original graph. The default size of charts are relatively big, usually ~100mm*100mm. It's better to scale them down to 30%. Then select the items, and use highest DPI possible (for me, 600DPI). And change the exporting size to about 3 -5 time larger than the chart size. This will give you a large and clear TIF image.

my-alpine and docker-compose.yml

 ``` version: '1' services:     man:       build: .       image: my-alpine:latest   ```  Dockerfile: ``` FROM alpine:latest ENV PYTH...