data-visualization

I am trying to represent two variables x and y on a map using colours. So far the best I can acheive is using color for one variable and transparancy for another. plt.Polygon(shape.points, fill=False, color=cmap(y), alpha=x) Is it possible to create a 2D colormap in matplotlib that takes two variables? ImportanceOfBeingErnest In general colormaps in matplotlib are 1D, i.e. they map a scalar to a color. In order to obtain a 2D colormap one would need to somehow invent a mapping of two scalars to a color. While this is in principle possible, it's not as convenient as the usual colormaps. An

Is there any audio/programming-related stack-exchange site? I'm trying to make a wave form in WinForms What algorithm should I use? For example, if I have 200 samples per pixel (vertical line), should I draw the lowest and the highest sample from that portion of 200 samples? Or should I draw average of low and high samples? Maybe both in different colors? Try dsp.stackexchange.com At 200 samples per pixel, there are several approaches you can try. Whatever you do, it often works best to draw each vertical line both above and below 0, ie. treat positive and negative sample values seperately.

This is a follow-up to my previous question Integrating ggplot2 with user-defined stat_function() , which I've answered myself yesterday. My current problem is that, in the following reproducible example, lines, which are supposed to plot components of the data values' mixture distribution , neither appear in the expected places, nor they're of expected shape, as shown below (see the red lines at y=0 in the second figure). Complete reproducible example : library(ggplot2) library(scales) library(RColorBrewer) library(mixtools) NUM_COMPONENTS <- 2 set.seed(12345) # for reproducibility data

I'm working with matplotlib to plot a variable in latitude longitude coordinates. The problem is that this image cannot include axes or borders. I have been able to remove axis, but the white padding around my image has to be completely removed (see example images from code below here: http://imgur.com/a/W0vy9 ) . I have tried several methods from Google searches, including these StackOverflow methodologies: Remove padding from matplotlib plotting How to remove padding/border in a matplotlib subplot (SOLVED) Matplotlib plots: removing axis, legends and white spaces but nothing has worked in

I'm trying to connect ggplot2 boxplots with geom_lines for multiple factors. I'd been able to accomplish so far to connect all the boxplot with lines, see attach picture. But I wish to connect the only boxplots by their corresponding factor. For example for my variable FL, I want to connect only those two boxplot, without connecting them with the remaining variables. Similarly for the variable RW, connecting those two sex boxplot without the remaining others. library("MASS") data(crabs) melt_crabs <- melt(crabs,id.var=c("sp","sex","index")) ggplot(melt_crabs, aes(x = variable, y = value)) +

I have a column chart with multiple series each containing multiple points. Currently the columns all touch each other. I want to force a gap between each column. How can I achieve this? I found that applying a PointWidth ( Chart1.Series[seriesName]["PointWidth"] = (0.6).ToString(); ) gives me a separation between the x value groups but not between each series point in an individual group (which I need). Using an empty spacer series as suggested elsewhere does not solve the problem. I am using .Net 4, VS 2010, Web Application. My chart code follows: using System; using System.Collections

I am using the javascript library d3.js ( http://d3js.org/ ) to create canvas data visualizations. I'm trying to make an arc, but it's not accepting the data parameters from my array. Does anyone know what I'm doing wrong? This is my code: var chartConfig = { "canvasSize" : 800 } var radius = chartConfig.canvasSize / 2; var pi = Math.PI; var vis = d3.select("#chart").append("svg") .attr("width", radius * 2) .attr("height", radius * 2) .append("g") .attr("transform", "translate(" + radius + "," + radius + ")"); var arcData = [ {aS: 0, aE: 45,rI:radius/2,rO:radius} ]; var arc = vis.selectAll(