data-visualization
How to access the DOM element that correlates to a D3 SVG object?
You can also get at the DOM element represented by a selection via selection.node() method var selection = d3.select(domElement); // later via the selection you can retrieve the element with .node() var elt = selection.node();
Tree plotting in Python
I develop ETE, which is a python package intended, among other stuff, for programmatic tree rendering and visualization. You can create your own layout functions and produce custom tree images: It has a focus on phylogenetics, but it can actually deal with any type of hierarchical tree (clustering, decision trees, etc.)
Fix Node Position in D3 Force Directed Layout
Set d.fixed on the desired nodes to true, and initialize d.x and d.y to the desired position. These nodes will then still be part of the simulation, and you can use the normal display code (e.g., setting a transform attribute); however, because they are marked as fixed, they can only be moved by dragging and … Read more
Use index in pandas to plot data
Try this, monthly_mean.plot(y=’A’, use_index=True)
Construct a manual legend for a complicated plot
You need to map attributes to aesthetics (colours within the aes statement) to produce a legend. cols <- c(“LINE1″=”#f04546″,”LINE2″=”#3591d1″,”BAR”=”#62c76b”) ggplot(data=data,aes(x=a)) + geom_bar(stat=”identity”, aes(y=h, fill = “BAR”),colour=”#333333″)+ #green geom_line(aes(y=b,group=1, colour=”LINE1″),size=1.0) + #red geom_point(aes(y=b, colour=”LINE1″),size=3) + #red geom_errorbar(aes(ymin=d, ymax=e, colour=”LINE1″), width=0.1, size=.8) + geom_line(aes(y=c,group=1,colour=”LINE2″),size=1.0) + #blue geom_point(aes(y=c,colour=”LINE2″),size=3) + #blue geom_errorbar(aes(ymin=f, ymax=g,colour=”LINE2″), width=0.1, size=.8) + scale_colour_manual(name=”Error Bars”,values=cols) + … Read more
GUI for statsd data other than Graphite? [closed]
Try Grafana It has a very nice UI and advanced dashboard and graph editing features. Very simple to install.
Heatmap in matplotlib with pcolor?
This is late, but here is my python implementation of the flowingdata NBA heatmap. updated:1/4/2014: thanks everyone # -*- coding: utf-8 -*- # <nbformat>3.0</nbformat> # ———————————————————————— # Filename : heatmap.py # Date : 2013-04-19 # Updated : 2014-01-04 # Author : @LotzJoe >> Joe Lotz # Description: My attempt at reproducing the FlowingData graphic in … Read more
A good book for learning D3.js [closed]
As @Autio already mentioned, there are the tutorials from Scott Murray on his website. You will also note that on his site, he has a link to his recent d3 book, Interactive Data Visualization for the Web. However, that book is now available online for free, along with embedded jsbin examples. http://chimera.labs.oreilly.com/books/1230000000345/index.html So if you … Read more