Esempio n. 1
0
def plotHistogram(valuesList, directory = None, name = 'histo'):
	
	if not directory:
		fN = name + '.png'
	else:
		fN = directory + '/' + name + '.png'
	
	
	#Convert to R acceptable form.
	values = tuple(valuesList)
	vals = robjects.IntVector(values)
	
	gDevice = importr('grDevices')
	gDevice.png(file=fN, width=1680, height=1050)
	#r.hist(vals, breaks=100, xlab = "X", ylab = "Frequency", main=name)
	r.hist(vals, breaks=100, xlab = "# Targets", ylab = "# MicroRNAs", main=name)
	gDevice.dev_off()
# -*- coding: utf-8 -*-


from rpy2.robjects import r
from rpy2.robjects import IntVector

x = IntVector(range(9))
y = IntVector(range(9))

import ipdb; ipdb.set_trace()

r.png('figura1.png')
r.plot(x, y)
r['dev.off']()

r.png('figura2.jpeg')
r.plot(x, y, xlab='x', ylab='y', main='Minha plotagem', type='l')
r['dev.off']()

r.png('figura3.pdf')
normal = r.rnorm(500, 0, 1)
r.hist(normal)
r['dev.off']()
# -*- coding: utf-8 -*-

from rpy2.robjects import r
from rpy2.robjects import IntVector

x = IntVector(range(9))
y = IntVector(range(9))

import ipdb
ipdb.set_trace()

r.png('figura1.png')
r.plot(x, y)
r['dev.off']()

r.png('figura2.jpeg')
r.plot(x, y, xlab='x', ylab='y', main='Minha plotagem', type='l')
r['dev.off']()

r.png('figura3.pdf')
normal = r.rnorm(500, 0, 1)
r.hist(normal)
r['dev.off']()