rpy2 Scatter plot
rpy2で散布図を書く
import rpy2.robjects as robjects from rpy2.robjects.packages import importr grdevices = importr('grDevices') grdevices.png(file="file.png", width=512, height=512) # plotting code here # 月齢 lstx = [0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0] # 漁獲高 lsty = [190.0, 200.0, 50.0, 1700.0, 360.0, 620.0, 450.0, 2100.0, 120.0, 5000.0, 1900.0, 780.0, 880.0, 1500.0, 1500.0, 1900.0, 200.0, 270.0, 2100.0, 7000.0, 900.0, 1200.0, 3700.0, 2000.0, 2900.0, 1300.0, 140.0, 2250.0, 120.0, 1000.0] rx = robjects.FloatVector(lstx) ry = robjects.FloatVector(lsty) robjects.r.plot(x=rx, y=ry, xlab="moon age", ylab="fish", col="blue") grdevices.dev_off()
csvファイルから読み込む場合は、Rの命令文をそのまま書いてもよい
import rpy2.robjects as robjects from rpy2.robjects.packages import importr grdevices = importr('grDevices') grdevices.png(file="file.png", width=512, height=512) robjects.r(''' data <-read.csv('fish_moonage.csv', header=TRUE) plot(fish~moonage, xlab="foo", data=data, col="purple") ''') grdevices.dev_off()Posted: August 27th, 2010 | Author: yamakk | Filed under: 技術 | Tags: R, python, rpy2, statistics, visualization | No Comments »
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