From 97d8d4928d8126745d7734d635679ccf3c2dd431 Mon Sep 17 00:00:00 2001 From: Brendan Ashworth Date: Mon, 9 Feb 2015 20:25:47 -0800 Subject: [PATCH] benchmark: add plot_csv R graphing script This commit adds a graphing script (in R) for graphing the CSV output of a benchmark. It can be run like this: ``` $ OUTPUT_FORMAT=csv iojs benchmark/http/client-request-body.js > data.csv $ ./benchmark/plot_csv.R data.csv graph.png bytes type ``` This will graph the output to `graph.png`, using the output's `bytes` value as X and the result value for each as Y. Output will be grouped by `type`. Running as the example yields a beautiful graph like this: http://pbrd.co/1vBhUfy. PR-URL: https://github.com/iojs/io.js/pull/777 Reviewed-By: Ben Noordhuis --- benchmark/plot_csv.R | 38 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 38 insertions(+) create mode 100755 benchmark/plot_csv.R diff --git a/benchmark/plot_csv.R b/benchmark/plot_csv.R new file mode 100755 index 00000000000000..20ab033ef9be5a --- /dev/null +++ b/benchmark/plot_csv.R @@ -0,0 +1,38 @@ +#!/usr/bin/env Rscript + +# To use this to graph some benchmarks, install R (http://www.r-project.org/) +# and ggplot (http://ggplot2.org/). +# +# Once installed, you can generate some CSV output with a command like this: +# +# $ OUTPUT_FORMAT=csv iojs benchmark/http/client-request-body.js > data.csv +# $ ./benchmark/plot_csv.R data.csv data.png bytes type +# +# Where the 3rd argument to this script is the graph's X coordinate, the 4th is +# how the output is grouped, and the Y coordinate defaults to result. + +library(methods) +library(ggplot2) + +# get info from arguments +args <- commandArgs(TRUE) + +csvFilename <- args[1] +graphFilename <- args[2] + +xCoordinate <- args[3] +groupBy <- args[4] + +# read data +data <- read.csv(file = csvFilename, head = TRUE) + +# plot and save +plot <- ggplot(data = data, aes_string(x = xCoordinate, y = 'result', col = groupBy)) + + geom_point(size = 5) + + ggtitle(data$filename) + +png(filename = graphFilename, width = 560, height = 480, units = 'px') +print(plot) +graphics.off() + +cat(paste('Saved to', graphFilename, '\n'))