This repository has a Raku package for textual (terminal) plots.
Here is the list of functions:
- DONE
text-list-plot - DONE
text-pareto-principle-plot - DONE
text-histogram - TODO
text-plot - TODO
text-bar-chart
Currently only text-list-plot, text-pareto-principle-plot, text-histogram are implemented.
It would be nice to also have the function:
- TODO
text-box-plot
But that would require dependency on a certain statistical package. (I think it is best to keep this package simple.)
From zef-ecosystem:
zef install Text::Plot From GitHub:
zef install https://github.com/antononcube/Raku-Text-Plot.git Simple plot with y-values only:
use Text::Plot; say text-list-plot((^30)>>.sqrt);# +---+-------+--------+--------+--------+--------+--------+-+ # | | # + * * * ** + 5.00 # | * * * ** | # + * * ** + 4.00 # | * * ** | # + ** * + 3.00 # | * * | # + ** * + 2.00 # | * | # + * * + 1.00 # | | # + * + 0.00 # | | # +---+-------+--------+--------+--------+--------+--------+-+ # 0.00 5.00 10.00 15.00 20.00 25.00 30.00 Plot using both x- and y-values, and with specified axes labels, y-tick-labels format, and plot width, height, and title:
my @xs = (0, 0.2 ... 5); say text-list-plot(@xs, @xs>>.sin, x-label => 'x-points', y-label => 'value', y-tick-labels-format => '%10.2e', width => 80, height => 18, title => 'SINE PLOT');# SINE PLOT # +---+-------------+-------------+-------------+-------------+-------------+----+ # | | # + * * * * * + 1.00e+00 # | * * | # | * * | # + * * + 5.00e-01 # | * * | v # | * | a # | * | l # + * * + 0.00e+00 u # | * | e # | | # + * + -5.00e-01 # | * | # | * * | # + * * * * + -1.00e+00 # | | # +---+-------------+-------------+-------------+-------------+-------------+----+ # 0.00 1.00 2.00 3.00 4.00 5.00 # x-points Smallish plot with custom point character spec:
my @xs = (0, 0.05 ... 10); say text-list-plot(@xs, -1 <<*>> @xs>>.sqrt, point-char => '·', width => 40, height => 12);# +--+-----+------+------+------+-----+--+ # + · + 0.00 # | · | # + ··· + -0.50 # + ··· + -1.00 # + ···· + -1.50 # | ······ | # + ······ + -2.00 # + ········ + -2.50 # + ········ + -3.00 # + · + -3.50 # +--+-----+------+------+------+-----+--+ # 0.00 2.00 4.00 6.00 8.00 10.00 Plot a list of two-element lists:
say text-list-plot((^@xs.elems Z @xs>>.cos).List, title => 'Some list of lists'),# Some list of lists # +---+------------+-----------+------------+------------+---+ # | | # + *** ******* + 1.00 # | ** ** *** | # + ** *** ** + 0.50 # | ** ** ** | # | ** * ** | # + ** * * + 0.00 # | ** * * | # | ** * * | # + ** * ** + -0.50 # | *** ** ** | # + ******* ******* + -1.00 # | | # +---+------------+-----------+------------+------------+---+ # 0.00 50.00 100.00 150.00 200.00 Here is a more complicated example using a randomly generated dataset, [AAp1, AAp2]:
use Data::Generators; use Data::Summarizers; my @dsRand = random-tabular-dataset(70, <x y>, generators => [{ random-variate(NormalDistribution.new(4, 2), $_) }, { random-variate(NormalDistribution.new(12, 3), $_) }]); records-summary(@dsRand);# +-------------------------------+------------------------------+ # | x | y | # +-------------------------------+------------------------------+ # | Min => -0.6878061217490536 | Min => 5.375451235309257 | # | 1st-Qu => 2.296842587707644 | 1st-Qu => 10.751125832775537 | # | Mean => 3.68142428875546 | Mean => 12.714247111365054 | # | Median => 3.786163291984308 | Median => 12.766102933074883 | # | 3rd-Qu => 5.154324814056429 | 3rd-Qu => 14.08687917277585 | # | Max => 9.713071001209055 | Max => 20.1245632362308 | # +-------------------------------+------------------------------+ text-list-plot(@dsRand.map({ $_<x y> })>>.List, x-limit => (-2, 10), y-limit => (0, 25), title => 'Random Normal distribution variates')# Random Normal distribution variates # ++---------+--------+---------+--------+---------+--------++ # + + 25.00 # | | # + * + 20.00 # | * * * * | # | * * * * * * | # + * ** * ** * * ** + 15.00 # | *** * * * ** * *** *** ** | # + * * ***** * *** ** ** * + 10.00 # | * * | # | * * * | # + + 5.00 # | | # + + 0.00 # ++---------+--------+---------+--------+---------+--------++ # -2.00 0.00 2.00 4.00 6.00 8.00 10.00 Remark: The function text-list-plot has camel case aliases for the multi-word named arguments. For example, xLimit for x-limit and xTickLabelsFormat for x-tick-labels-format.
Here is an example of a multi-list plot:
say text-list-plot([([1,1], [2,5], [3,2], [4,5]), ([1,1], [3,3], [3,2]), ([1,3], [2,1], [5,2])], point-char => Whatever);# +---+------------+-----------+------------+------------+---+ # | | # + * * + 5.00 # | | # + + 4.00 # | | # | | # + ▽ □ + 3.00 # | | # | | # + □ ▽ + 2.00 # | | # + □ ▽ + 1.00 # | | # +---+------------+-----------+------------+------------+---+ # 1.00 2.00 3.00 4.00 5.00 Remark: Note that the points [1,1] and [3,2] of the second list overlay the same points of first list.
Assume we have a data vector with all numeric or with all string elements. The adherence of the data vector to the Pareto principle can be easily verified with the plots of text-pareto-principle-plot.
Here is an example with a numeric vector:
text-pareto-principle-plot( random-real(10, 300), title => 'Random reals')# Random reals # 0.00 0.17 0.33 0.50 0.67 0.83 1.00 # +---+-------+--------+--------+-------+--------+-------+---+ # | | # + *************** + 1.00 # | ******** | # + ****** + 0.80 # | ***** | # + **** + 0.60 # | **** | # + **** + 0.40 # | **** | # + *** + 0.20 # | *** | # | *** | # + + 0.00 # +---+-------+--------+--------+-------+--------+-------+---+ # 0.00 50.00 100.00 150.00 200.00 250.00 300.00 Here is an example with a vector of strings:
text-pareto-principle-plot( random-pet-name(500), title => 'Random pet names')# Random pet names # 0.00 0.24 0.47 0.71 0.95 # +---+-----------+-----------+-----------+------------+-----+ # | | # + ****** + 1.00 # | ****** | # + ******* + 0.80 # | ******* | # + ****** + 0.60 # | ******* | # + ****** + 0.40 # | ******* | # + ***** + 0.20 # | *** | # | ** | # + + 0.00 # +---+-----------+-----------+-----------+------------+-----+ # 0.00 100.00 200.00 300.00 400.00 Here is a vector with normal distribution numbers:
my ($μ, $σ) = (5, 2); my @data = (^500).map({ $μ + $σ * (2 * pi * (1 - rand)).cos * (- 2 * log rand).sqrt }); @data.elems# 500 Here is a histogram with counts:
text-histogram(@data, 30, type => 'count', :filled, point-char => <* *>);# +-------+---------+--------+--------+--------+---------+---+ # | | # | * * * | # + * * * + 40.00 # | * * * * * | # + * ** * * * * + 30.00 # | * * ** * * ** * | # | ** * ** * * ** * | # + * * ** * ** * * ** * + 20.00 # | * * * ** * ** * * ** * * * | # + * ** * * ** * ** * * ** * ** * * + 10.00 # | * * * ** * * ** * ** * * ** * ** * * ** * * | # + ** * * * * ** * * ** * ** * * ** * ** * * ** * * ** + 0.00 # | | # +-------+---------+--------+--------+--------+---------+---+ # 0.00 2.00 4.00 6.00 8.00 10.00 Here is a histogram with density function estimate:
text-histogram(@data, 30, type => 'cdf', height => 20, :filled);# +-------+---------+--------+--------+--------+---------+---+ # | | # + □□ □ □ □□ + 1.00 # | □ □ □ ** * * ** | # | □ □* * * ** * * ** | # + □ * ** * * ** * * ** + 0.80 # | □* * ** * * ** * * ** | # | □ ** * ** * * ** * * ** | # + * ** * ** * * ** * * ** + 0.60 # | □ * ** * ** * * ** * * ** | # | □ * * ** * ** * * ** * * ** | # + □* * * ** * ** * * ** * * ** + 0.40 # | □ ** * * ** * ** * * ** * * ** | # | □ * ** * * ** * ** * * ** * * ** | # + □* * ** * * ** * ** * * ** * * ** + 0.20 # | □ □ ** * ** * * ** * ** * * ** * * ** | # | □ □□ * * ** * ** * * ** * ** * * ** * * ** | # + □□ □ □ □ * ** * * ** * ** * * ** * ** * * ** * * ** + 0.00 # | | # +-------+---------+--------+--------+--------+---------+---+ # 0.00 2.00 4.00 6.00 8.00 10.00 Remark: The second argument is for the number of histogram bins. The value of the option :$type is expected to be one of "count", "probability", "PDF", or "CDF".
The package function text-list-plot can be used through the corresponding CLI:
text-list-plot --help# Usage: # text-list-plot [<points> ...] [-p|--point-char=<Str>] [-w|--width[=Int]] [-h|--height[=Int]] [-t|--title=<Str>] [--xLabel|--x-label=<Str>] [--yLabel|--y-label=<Str>] [--xTickLabelsFormat|--x-tick-labels-format=<Str>] [--yTickLabelsFormat|--y-tick-labels-format=<Str>] -- Makes textual (terminal) plots. # text-list-plot <words> [-p|--point-char=<Str>] [-w|--width[=Int]] [-h|--height[=Int]] [-t|--title=<Str>] [--xLabel|--x-label=<Str>] [--yLabel|--y-label=<Str>] [--xTickLabelsFormat|--x-tick-labels-format=<Str>] [--yTickLabelsFormat|--y-tick-labels-format=<Str>] -- Makes textual (terminal) plots by splitting a string of data points. # text-list-plot [-p|--point-char=<Str>] [-w|--width[=Int]] [-h|--height[=Int]] [-t|--title=<Str>] [--xLabel|--x-label=<Str>] [--yLabel|--y-label=<Str>] [--xTickLabelsFormat|--x-tick-labels-format=<Str>] [--yTickLabelsFormat|--y-tick-labels-format=<Str>] -- Makes textual (terminal) plots from pipeline input # # [<points> ...] Data points. # -p|--point-char=<Str> Plot points character. [default: '*'] # -w|--width[=Int] Width of the plot. (-1 for Whatever.) [default: -1] # -h|--height[=Int] Height of the plot. (-1 for Whatever.) [default: -1] # -t|--title=<Str> Title of the plot. [default: ''] # --xLabel|--x-label=<Str> Label of the X-axis. If Whatever, then no label is placed. [default: ''] # --yLabel|--y-label=<Str> Label of the Y-axis. If Whatever, then no label is placed. [default: ''] # --xTickLabelsFormat|--x-tick-labels-format=<Str> X-axis tick labels format. [default: ''] # --yTickLabelsFormat|--y-tick-labels-format=<Str> Y-axis tick labels format. [default: ''] # <words> String with data points. Here is an example of a simple, y-axis values only call:
text-list-plot 33 12 21 10 3 4 Here is an example of 2D points call:
text-list-plot "22,32 10,39 13,32 14,20" Here is an example pipeline:
raku -e 'say (^1000).roll(21)' | text-list-plot Remark: Attempt is made plot's width and height are determined automatically, using terminal's number of columns and lines. If that fails width=60 is used. In the pipeline example above text-list-plot fails to automatically determine the width and height. (The other example do succeed.)
-
The package functions and their signatures design are easy to come up with, but it is very helpful to have a "good example" to follow.
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I consider the R-package "txtplot", [BB1], to be such good example.
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There are at least three Python packages for text plots, but only tried them out once. None was as complete and "nice" as the R-package "txtplot".
-
-
The points and ticks are rescaled with a version of the Mathematica-function
Rescale. -
The axes ticks are computed with a version of the R-function
pretty.
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DONE Plotting a list of two-element lists.
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DONE Optional tick labels format specs.
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DONE CLI design and implementation.
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DONE Make use kebab-case for named arguments and make corresponding camel-case aliases.
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DONE Multi-list plot support.
-
DONE Plot title.
-
DONE
text-pareto-principle-plot -
DONE
text-histogram -
TODO Proper respect of width and height.
- Currently, the width and height are for the plot frame -- title, axes- and tick labels are "extra."
-
TODO Make the axes ticks to be on the left.
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It was just much easier to put them on the right.
-
BTW, this is probably a bug -- the width of the "total plot" is larger than the specified.
-
-
TODO Optional placement of tick values.
-
TODO
text-plot- Easy to implement inlined with
text-plot, but it might give a simpler interface.
- Easy to implement inlined with
-
TODO
text-bar-chart
[AAp0] Anton Antonov, Text::Plot Raku package, (2022), GitHub/antononcube.
[AAp1] Anton Antonov, Data::Generators Raku package, (2021), GitHub/antononcube.
[AAp2] Anton Antonov, Data::Summarizers Raku package, (2021), GitHub/antononcube.
[BB1] Bjoern Bornkamp, txtplot R package, (CRAN), (2020), GitHub/bbnkmp.