do you have any idea how to make 200 evenly spaced out bins, and have your program store the data in the appropriate bins? You can, for example, use NumPy’s arange for a fixed bin size (or Python’s standard range object), and NumPy’s linspace for evenly spaced bins. Here are 2 simple examples from my … Read more
The gradient is a mathematical operator that may help you. If you can turn your interpolation into a differentiable function, the gradient of the height will always point in the direction of steepest ascent. All curves of equal height are perpendicular to the gradient of height evaluated at that point. Your idea about starting from … Read more
Try using kompare – http://www.caffeinated.me.uk/kompare/. It should do the job. EDIT: Also, check out the list of file comparison tools here: http://en.wikipedia.org/wiki/Comparison_of_file_comparison_tools – have a look at the column “Patch preview” in one of the tables.
I thought this was an interesting question, so I made an example alluvial diagram using d3: http://nickrabinowitz.com/projects/d3/alluvial/alluvial.html And, because d3 is so good at animation, and I thought it would look cool, I made an animated version as well: http://nickrabinowitz.com/projects/d3/alluvial/alluvial-dynamic.html It doesn’t cover everything you might want, but hopefully it will provide some basis. The … Read more
It can be done using nodeA -> nodeB [style=invis]
This captured my interest for long enough to produce a little test. The code is below, and you can see it in action It lists all the spans on the page (might want to restrict that to just those with ids starting with T if that is suitable), and uses the ‘ids’ attribute to build … Read more
from matplotlib import pylab import networkx as nx def save_graph(graph,file_name): #initialze Figure plt.figure(num=None, figsize=(20, 20), dpi=80) plt.axis(‘off’) fig = plt.figure(1) pos = nx.spring_layout(graph) nx.draw_networkx_nodes(graph,pos) nx.draw_networkx_edges(graph,pos) nx.draw_networkx_labels(graph,pos) cut = 1.00 xmax = cut * max(xx for xx, yy in pos.values()) ymax = cut * max(yy for xx, yy in pos.values()) plt.xlim(0, xmax) plt.ylim(0, ymax) plt.savefig(file_name,bbox_inches=”tight”) pylab.close() … Read more