Greetings, I am new to matplotlib. I have to plot a cross section of a cylinder and I want apply the stress in the section to be a contour plot. Similar to what you get from a Finite Element Analysis data. I have the data organized such that I can use fill_between to create the basic plot and I use the a uniform color (red) for now to fill between the lines. The data organized is organized (see attached 'data.txt' file) such that the fill_between is used as follows:
http://old.nabble.com/file/p32023678/data.txt data.txt plt.fill_between(X, Y1, Y2,facecolor='red',alpha=alpha,linewidth=2) plt.fill_between(X, Y3, Y4,facecolor='red',alpha=alpha,linewidth=2) This produces a figure in this format: http://old.nabble.com/file/p32023678/Uniform_Color.png What I want to do is instead of filling the color in red, i want to the color to be a contour plot of the stress. The stress values are shown in the last column of the 'data.txt' file. So, based on the stress values, the fill in color should vary (say from blue for min(stress) values and red for max(stress) values. I was able to do a color extract for regions, but the colors are not gradient and smooth as should be in stress contour plot. The example I was able to do is as follow: http://old.nabble.com/file/p32023678/Contour.png I appreciate any help on this matter. Thanks, -- View this message in context: http://old.nabble.com/Change-color-for-fill_between-to-contour-plot-tp32023678p32023678.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ All of the data generated in your IT infrastructure is seriously valuable. Why? It contains a definitive record of application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-d2d-c2 _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
