CJG cjgunase

## barplot_heatmap.png

      
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                cjgunase
                / barplot_heatmap.png
            
            
              Created
              January 2, 2018 16:41
                — forked from slowkow/barplot_heatmap.png
            
              
                Plot a horizontal bar plot and the lower triangle of a heatmap aligned at the base of the bars
              
          
## density2d_map.R
library(ggplot2)
library(MASS)

## generate some random data
data <- data.frame(a=abs(rnorm(1000, mean=0.5)), b=abs(rnorm(1000, mean=0.5)))
data$a <- data$a / max(data$a)
data$b <- data$b / max(data$b)


## layout settings for ggplot

## beautiful_idiomatic_python.md

      
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                cjgunase
                / beautiful_idiomatic_python.md
            
            
              Created
              January 24, 2017 18:35
                — forked from JeffPaine/beautiful_idiomatic_python.md
            
              
                Transforming Code into Beautiful, Idiomatic Python: notes from Raymond Hettinger's talk at pycon US 2013. The code examples and direct quotes are all from Raymond's talk. I've reproduced them here for my own edification and the hopes that others will find them as handy as I have!
              
          
    Transforming Code into Beautiful, Idiomatic Python

Notes from Raymond Hettinger's talk at pycon US 2013 video, slides.
The code examples and direct quotes are all from Raymond's talk. I've reproduced them here for my own edification and the hopes that others will find them as handy as I have!
Looping over a range of numbers

for i in [0, 1, 2, 3, 4, 5]:

  
## gnqgbk.markdown

      
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                cjgunase
                / gnqgbk.markdown
            
            
              Created
              November 14, 2016 12:46
            
              
                GNqgBK
              
          
    GNqgBK

A Pen by Chathura J Gunasekara on CodePen.
License.
	library(ggplot2)
	library(MASS)

	## generate some random data
	data <- data.frame(a=abs(rnorm(1000, mean=0.5)), b=abs(rnorm(1000, mean=0.5)))
	data$a <- data$a / max(data$a)
	data$b <- data$b / max(data$b)


	## layout settings for ggplot