Generate simple plots as ASCII art in Julia
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src clear 0.4 deprecation warnings Sep 4, 2015
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LICENSE.md ASCIIPlots Jul 26, 2013
README.md ASCIIPlots Jul 26, 2013
REQUIRE clear 0.4 deprecation warnings Sep 4, 2015

README.md

ASCIIPlots.jl

Generate basic plots in Julia as ASCII art in the Julia REPL. This is based on code by Billou Bielour.

Usage Examples

We'll start with imagesc:

using ASCIIPlots

A = eye(10)
imagesc(A)

This evaluates to,

julia> imagesc(A)


	@#                  
	  @#                
	    @#              
	      @#            
	        @#          
	          @#        
	            @#      
	              @#    
	                @#  
	                  @#

Then we'll change the data a bit and replot it:

A[10, 1] = 1
A[1, 10] = 1
imagesc(A)

This evaluates to,

julia> imagesc(A)


	@#                @#
	  @#                
	    @#              
	      @#            
	        @#          
	          @#        
	            @#      
	              @#    
	                @#  
	@#                @#

Now we'll make a lineplot and a scatterplot:

x = 2 * pi * rand(30)
y = sin(x) + 0.1 * randn(30)

lineplot(x, y)

This evaluates to,

julia> lineplot(x, y)

	-------------------------------------------------------------
	|             \                                              | 1.01
	|         \/                                                 |
	|          /                                                 |
	|     /  /                                                   |
	|                                                            |
	|  /                                                         |
	|                                                            |
	|                                                            |
	|/                                                           |
	|                                                            |
	|                                                          \ |
	|                               \                        \  \|
	|                              -                          /  |
	|                                                            |
	|                                   \                 /      |
	|                                    \               /       |
	|                                     \           /\         |
	|                                                   /        |
	|                                         -  \ /             |
	|                                      /       /             | -1.16
	-------------------------------------------------------------
	0.13                                                    6.19

Then we'll do a scatterplot:

scatterplot(x, y)

This evaluates to,

julia> scatterplot(x, y)

	-------------------------------------------------------------
	|             ^                                              | 1.01
	|         ^^                                                 |
	|          ^                                                 |
	|     ^  ^                                                   |
	|                                                            |
	|  ^                                                         |
	|                                                            |
	|                                                            |
	|^                                                           |
	|                                                            |
	|                                                          ^ |
	|                               ^                        ^  ^|
	|                              ^                          ^  |
	|                                                            |
	|                                   ^                 ^      |
	|                                    ^               ^       |
	|                                     ^           ^^         |
	|                                                   ^        |
	|                                         ^  ^ ^             |
	|                                      ^       ^             | -1.16
	-------------------------------------------------------------
	0.13                                                    6.19

We can control the glyph being used:

scatterplot(x, y, sym = '*')

This evaluates to,

julia> scatterplot(x, y, sym = '*')

	-------------------------------------------------------------
	|             *                                              | 1.01
	|         **                                                 |
	|          *                                                 |
	|     *  *                                                   |
	|                                                            |
	|  *                                                         |
	|                                                            |
	|                                                            |
	|*                                                           |
	|                                                            |
	|                                                          * |
	|                               *                        *  *|
	|                              *                          *  |
	|                                                            |
	|                                   *                 *      |
	|                                    *               *       |
	|                                     *           **         |
	|                                                   *        |
	|                                         *  * *             |
	|                                      *       *             | -1.16
	-------------------------------------------------------------
	0.13                                                    6.19