information-visualization

What algorithms are good for interactive/realtime graph-drawing for live data and direct-manipulation? Failing that - what libraries do you use to draw graphs? Suggestions; Prefuse information-visualization toolkit any others? BTW- I mean graphs in the graph-theory sense - points and lines any language by live I mean the graph should be manipulatable once on screen. I would recommend any library that Jeff Heer has worked on: D3 Protovis Flare Prefuse I believe all three projects are open source. Jeff Heer is pretty good at referencing papers in his code at least in the Prefuse library. Looking

I have a data set with huge number of features, so analysing the correlation matrix has become very difficult. I want to plot a correlation matrix which we get using dataframe.corr() function from pandas library. Is there any built-in function provided by the pandas library to plot this matrix? jrjc You can use pyplot.matshow() from matplotlib : import matplotlib.pyplot as plt plt.matshow(dataframe.corr()) plt.show() Edit: In the comments was a request for how to change the axis tick labels. Here's a deluxe version that is drawn on a bigger figure size, has axis labels to match the dataframe,

so I want to write a matrix explorer which enables me to reorder rows and columns of a matrix. For this porpouse I used the Jtable class. Now the problem that I have is that it is very difficult to reorder a matrix by looking at double values, so I would like to print the matrix not with the double values but with circles in which the radius of the circle represents the value. So that I can tell the difference between big values and small values quicker. Anybody has any idea how I can turn this double values into filled circles with JTable or any table class for that matter? Here's an example