[unix] Command-line Unix ASCII-based charting / plotting tool

Is there a good command-line UNIX charting / graphing / plotting tool out there? I'm looking for something that will plot xy points on an ASCII graph.

Just to clarify, I'm looking for something that will output a graph in ASCII (like ascii-art style), so I can use it over an interactive shell session without needing X.

This question is related to unix charts graph matplotlib

The answer is


feedgnuplot is another front end to gnuplot, which handles piping in data.

    $ seq 5 | awk '{print 2*$1, $1*$1}' |
      feedgnuplot --lines --points --legend 0 "data 0" --title "Test plot" --y2 1
                  --terminal 'dumb 80,40' --exit

                                     Test plot

     10 ++------+--------+-------+-------+-------+--------+-------+------*A 25
        +       +        +       +       +       +        +       +    **#+
        |       :        :       :       :       :        : data 0+**A*** |
        |       :        :       :       :       :        :       :** #   |
      9 ++.......................................................**.##....|
        |       :        :       :       :       :        :    ** :#      |
        |       :        :       :       :       :        :  **   #       |
        |       :        :       :       :       :        :**   ##:      ++ 20
      8 ++................................................A....#..........|
        |       :        :       :       :       :      **:   #   :       |
        |       :        :       :       :       :    **  : ##    :       |
        |       :        :       :       :       :  **    :#      :       |
        |       :        :       :       :       :**      B       :       |
      7 ++......................................**......##................|
        |       :        :       :       :    ** :    ##  :       :      ++ 15
        |       :        :       :       :  **   :   #    :       :       |
        |       :        :       :       :**     : ##     :       :       |
      6 ++..............................*A.......##.......................|
        |       :        :       :    ** :     ##:        :       :       |
        |       :        :       :  **   :    #  :        :       :       |
        |       :        :       :**     :  ##   :        :       :      ++ 10
      5 ++......................**........##..............................|
        |       :        :    ** :      #B       :        :       :       |
        |       :        :  **   :    ## :       :        :       :       |
        |       :        :**     :  ##   :       :        :       :       |
      4 ++...............A.......###......................................|
        |       :      **:     ##:       :       :        :       :       |
        |       :    **  :   ##  :       :       :        :       :      ++ 5
        |       :  **    : ##    :       :       :        :       :       |
        |       :**    ##B#      :       :       :        :       :       |
      3 ++.....**..####...................................................|
        |    **####      :       :       :       :        :       :       |
        |  **## :        :       :       :       :        :       :       |
        B**     +        +       +       +       +        +       +       +
      2 A+------+--------+-------+-------+-------+--------+-------+------++ 0
        1      1.5       2      2.5      3      3.5       4      4.5      5

Another simpler/lighter alternative to gnuplot is ervy, a NodeJS based terminal charts tool.

Supported types: scatter (XY points), bar, pie, bullet, donut and gauge.

Usage examples with various options can be found on the projects GitHub repo

enter image description here

enter image description here


Also, spark is a nice little bar graph in your shell.


gnuplot is the definitive answer to your question.

I am personally also a big fan of the google chart API, which can be accessed from the command line with the help of wget (or curl) to download a png file (and view with xview or something similar). I like this option because I find the charts to be slightly prettier (i.e. better antialiasing).


Check the package plotext which allows to plot data directly on terminal using python3. It is very intuitive as its use is very similar to the matplotlib package.

Here is a basic example:

enter image description here

You can install it with the following command:

sudo -H pip install plotext

As for matplotlib, the main functions are scatter (for single points), plot (for points joined by lines) and show (to actually print the plot on terminal). It is easy to specify the plot dimensions, the point and line styles and whatever to show the axes, number ticks and final equations, which are used to convert the plotted coordinates to the original real values.

Here is the code to produce the plot shown above:

import plotext.plot as plx
import numpy as np

l=3000
x=np.arange(0, l)
y=np.sin(4*np.pi/l*np.array(x))*np.exp(-0.5*np.pi/l*x)

plx.scatter(x, y, rows = 17, cols = 70)
plx.show(clear = 0)

The option clear=True inside show is used to clear the terminal before plotting: this is useful, for example, when plotting a continuous flow of data. An example of plotting a continuous data flow is shown here: enter image description here

The package description provides more information how to customize the plot. The package has been tested on Ubuntu 16 where it works perfectly. Possible future developments (upon request) could involve extension to python2 and to other graphical interfaces (e.g. jupiter). Please let me know if you have any issues using it. Thanks.

I hope this answers your problem.


Here is my patch for eplot that adds a -T option for terminal output:

--- eplot       2008-07-09 16:50:04.000000000 -0400
+++ eplot+      2017-02-02 13:20:23.551353793 -0500
@@ -172,7 +172,10 @@
                                        com=com+"set terminal postscript color;\n"
                                        @o["DoPDF"]=true

-                               # ---- Specify a custom output file
+                               when /^-T$|^--terminal$/
+                                       com=com+"set terminal dumb;\n"
+
+                                # ---- Specify a custom output file
                                when /^-o$|^--output$/
                                        @o["OutputFileSpecified"]=checkOptArg(xargv,i)
                                        i=i+1

                                    i=i+1

Using this you can run it as eplot -T to get ASCII-graphics result instead of a gnuplot window.


Another option I've just run across is bashplotlib. Here's an example run on (roughly) the same data as my eplot example:

[$]> git shortlog -s -n | awk '{print $1}' | hist

 33|   o
 32|   o
 30|   o
 28|   o
 27|   o
 25|   o
 23|   o
 22|   o
 20|   o
 18|   o
 16|   o
 15|   o
 13|   o
 11|   o
 10|   o
  8|   o
  6|   o
  5|   o
  3|   o o     o
  1|   o o     o o       o
  0|   o o o o o o       o
    ----------------------

-----------------------
|       Summary       |
-----------------------
|   observations: 50  |
| min value: 1.000000 |
|  mean : 519.140000  |
|max value: 3207.000000|
-----------------------

Adjusting the bins helps the resolution a bit:

[$]> git shortlog -s -n | awk '{print $1}' | hist --nosummary --bins=40

 18|   o
   |   o
 17|   o
 16|   o
 15|   o
 14|   o
 13|   o
 12|   o
 11|   o
 10|   o
  9|   o
  8|   o
  7|   o
  6|   o
  5|   o   o
  4|   o   o o
  3|   o o o o   o
  2|   o o o o   o
  1|   o o o o   o                     o       o
  0|   o o o o o o           o     o   o o   o o                                 o
   |   o o o o o o           o     o   o o   o o                                 o
    --------------------------------------------------------------------------------

See also: asciichart (implemented in Node.js, Python, Java, Go and Haskell)

enter image description here


Plots in a single line are really simple, and can help one see patterns of highs and lows.
See also pysparklines.
(Does anyone know of unicode slanting lines, which could be fit together to make line, not bar, plots ?)

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from __future__ import division
import numpy as np

__version__ = "2015-01-02 jan  denis"


#...............................................................................
def onelineplot( x, chars=u"???_???¦", sep=" " ):
    """ numbers -> v simple one-line plots like

f ? ? ? ? ¦ ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?  osc 47  _ ? ¦ ? _ ? ? ? ? ? ? ? _ ? ? ? ? ?  rosenbrock
f ¦ ? ¦ ? ¦ ? ¦ ? ¦ ? ¦ ? ¦ ? ¦ ? ? ? ? ?  osc 58  ? ? ? ? _ ? ? _ ? ? ? ? ¦ ? ? ? ? ?  rastrigin
f ¦ ¦ ¦ ¦ ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?  osc 90  ¦ ? ? ? ¦ ? ¦ ? ¦ ? ¦ ? ¦ ? ¦ ? ¦ ?  ackley

Usage:
    astring = onelineplot( numbers [optional chars= sep= ])
In:
    x: a list / tuple / numpy 1d array of numbers
    chars: plot characters, default the 8 Unicode bars above
    sep: "" or " " between plot chars

How it works:
    linscale x  ->  ints 0 1 2 3 ...  ->  chars ? ? ? _ ...

See also: https://github.com/RedKrieg/pysparklines
    """

    xlin = _linscale( x, to=[-.49, len(chars) - 1 + .49 ])
        # or quartiles 0 - 25 - 50 - 75 - 100
    xints = xlin.round().astype(int)
    assert xints.ndim == 1, xints.shape  # todo: 2d
    return sep.join([ chars[j] for j in xints ])


def _linscale( x, from_=None, to=[0,1] ):
    """ scale x from_ -> to, default min, max -> 0, 1 """
    x = np.asanyarray(x)
    m, M = from_ if from_ is not None \
        else [np.nanmin(x), np.nanmax(x)]
    if m == M:
        return np.ones_like(x) * np.mean( to )
    return (x - m) * (to[1] - to[0]) \
        / (M - m)  + to[0]


#...............................................................................
if __name__ == "__main__":  # standalone test --
    import sys

    if len(sys.argv) > 1:  # numbers on the command line, may be $(cat myfile)
        x = map( float, sys.argv[1:] )
    else:
        np.random.seed( 0 )
        x = np.random.exponential( size=20 )

    print onelineplot( x )

You should use gnuplot and be sure to issue the command "set term dumb" after starting up. You can also give a row and column count. Here is the output from gnuplot if you issue "set term dumb 64 10" and then "plot sin(x)":

 

    1 ++-----------****-----------+--***-------+------****--++
  0.6 *+          **+  *          +**   *      sin(x)*******++
  0.2 +*         *      *         **     **         *     **++
    0 ++*       **       *       **       *       **       *++
 -0.4 ++**     *         **     **         *      *         *+
 -0.8 ++ **   *     +      *   ** +         *  +**          +*
   -1 ++--****------+-------***---+----------****-----------++
     -10           -5             0            5             10


It looks better at 79x24 (don't use the 80th column on an 80x24 display: some curses implementations don't always behave well around the last column).

I'm using gnuplot v4, but this should work on slightly older or newer versions.


I found a tool called ttyplot in homebrew. It's good. https://github.com/tenox7/ttyplot


While gnuplot is powerful, it's also really irritating when you just want to pipe in a bunch of points and get a graph.

Thankfully, someone created eplot (easy plot), which handles all the nonsense for you.

It doesn't seem to have an option to force terminal graphs; I patched it like so:

--- eplot.orig  2012-10-12 17:07:35.000000000 -0700
+++ eplot       2012-10-12 17:09:06.000000000 -0700
@@ -377,6 +377,7 @@
                # ---- print the options
                com="echo '\n"+getStyleString+@oc["MiscOptions"]
                com=com+"set multiplot;\n" if doMultiPlot
+               com=com+"set terminal dumb;\n"
                com=com+"plot "+@oc["Range"]+comString+"\n'| gnuplot -persist"
                printAndRun(com)
                # ---- convert to PDF

An example of use:

[$]> git shortlog -s -n | awk '{print $1}' | eplot 2> /dev/null


  3500 ++-------+-------+--------+--------+-------+--------+-------+-------++
       +        +       +        "/tmp/eplot20121012-19078-fw3txm-0" ****** +       *                                                                    |  3000 +*                                                                  ++       |*                                                                   |       | *                                                                  |  2500 ++*                                                                 ++       | *                                                                  |
       |  *                                                                 |
  2000 ++ *                                                                ++
       |  **                                                                |
  1500 ++   ****                                                           ++
       |        *                                                           |
       |         **                                                         |
  1000 ++          *                                                       ++
       |            *                                                       |
       |            *                                                       |
   500 ++            ***                                                   ++
       |                **************                                      |
       +        +       +        +    **********  +        +       +        +
     0 ++-------+-------+--------+--------+-----***************************++
       0        5       10       15       20      25       30      35       40

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