philippstroehle

require(forecast)


resultsAR = NULL
resultsMA = NULL

# start a loop here and feed it new data
  tmp = data$Value
  tmp = tmp[1:100]
  

philippstroehle

library(ggplot2)
library(gridExtra)
 
mtcars$cyl <- ordered(mtcars$cyl)
p <- ggplot(mtcars, aes(mpg, hp, colour = cyl)) + geom_point()
 
p1 <- p + theme(legend.position = "none")
 
p2 <- ggplot(mtcars, aes(x=mpg, group=cyl, colour=cyl))
p2 <- p2 + stat_density(fill = NA, position="dodge")

philippstroehle

class Foo(object):
    pass

class Bar(object):
    pass

dispatch_dict = {"Foo": Foo, "Bar": Bar}
dispatch_dict["Foo"]() # returns an instance of Foo

philippstroehle

import foo
methodToCall = getattr(foo, 'bar')
result = methodToCall()

philippstroehle

>>> import itertools
>>> x = itertools.count(0)
>>> x.__class__.__name__
'count'

philippstroehle

            baseClass = self.__class__.__name__
            methodToCall = getattr(self,"selectJobs"+baseClass)
            #now = self.selectJobsExpectation(J)
            now = methodToCall(J)

philippstroehle

>>> from pylab import *
>>> plot([1,3,2])
[<matplotlib.lines.Line2D object at 0x102bc8950>]
>>> gca()
<matplotlib.axes.AxesSubplot object at 0x102790cd0>
>>> gca().add_patch(Rectangle((1,1),1,1))
<matplotlib.patches.Rectangle object at 0x102790510>
>>> savefig("rect.png")

philippstroehle

@profile # python -m memory_profiler example.py
def my_func():
    a = [1] * (10 ** 6)
    b = [2] * (2 * 10 ** 7)
    del b
    return a

if __name__ == '__main__':
    my_func()

philippstroehle

plot.area<-function(x,col=NULL,horiz=F,prop=T,stp.ln=T,grp.ln=T,axs.cex=1,axs.lab=T,lab.cex=1,
                    names=c('Group','Step','Value'),...){
  
  #sort out color fector  
  if(!is.null(col)){
    if(sum(col %in% colors()) != length(col)) stop('col vector must be in "colors()"')
    col<-colorRampPalette(col)(ncol(x))
  }
  else col<-colorRampPalette(c('lightblue','green'))(ncol(x))
  

philippstroehle

# do this before importing pylab or pyplot
import matplotlib
matplotlib.use('Agg')
from matplotlib import pyplot as plt