YouPlot is a command line tool that draws plots on the terminal.

:bar_chart: Powered by UnicodePlot

</div>

Installation

brew install youplot

gem install youplot

nix shell nixpkgs#youplot

guix install youplot

conda install -c conda-forge ruby
conda install -c conda-forge compilers
gem install youplot

Quick Start

uplot <command> [options] <data.tsv>

barplot

curl -sL https://git.io/ISLANDScsv \
| sort -nk2 -t, \
| tail -n15 \
| uplot bar -d, -t "Areas of the World's Major Landmasses"

# For offline user: Sorts files in a directory by size and shows a bar graph.
ls -l | awk '{print $9, $5}' | sort -nk 2 | uplot bar -d ' '

histogram

echo -e "from numpy import random;" \
        "n = random.randn(10000);"  \
        "print('\\\n'.join(str(i) for i in n))" \
| python3 \
| uplot hist --nbins 20

lineplot

curl -sL https://git.io/AirPassengers \
| cut -f2,3 -d, \
| uplot line -d, -w 50 -h 15 -t AirPassengers --xlim 1950,1960 --ylim 0,600

# For offline users: Calculates sin values (0-2*pi) and plots a sine wave.
python3 -c '
from math import sin, pi
data = "\n".join(f"{i*pi/50}\t{sin(i*pi/50)}" for i in range(101))
print(data)' | uplot line

scatter

curl -sL https://git.io/IRIStsv \
| cut -f1-4 \
| uplot scatter -H -t IRIS

# For offline users
cat test/fixtures/iris.csv | cut -f1-4 -d, | uplot scatter -H -d, -t IRIS

density

curl -sL https://git.io/IRIStsv \
| cut -f1-4 \
| uplot density -H -t IRIS

# For offline users
cat test/fixtures/iris.csv | cut -f1-4 -d, | uplot density -H -d, -t IRIS

boxplot

curl -sL https://git.io/IRIStsv \
| cut -f1-4 \
| uplot boxplot -H -t IRIS

# For offline users
cat test/fixtures/iris.csv | cut -f1-4 -d, | uplot boxplot -H -d, -t IRIS

count

Count processes by user ID.

ps aux | awk '{print $1}' | uplot count

Count the number of chromosomes where genes are located.

cat gencode.v35.annotation.gff3 \
| grep -v '#' | grep 'gene' | cut -f1 \
| uplot count -t "The number of human gene annotations per chromosome"  -c blue

GENCODE - Human Release

Note: count is not very fast because it runs in a Ruby script. This is fine in most cases, as long as the data size is small. If you want to visualize huge data, it is faster to use a combination of common Unix commands as shown below.

cat gencode.v35.annotation.gff3 | grep -v '#' | grep 'gene' | cut -f1 \
| sort | uniq -c | sort -nrk1 \
| uplot bar --fmt yx -d ' ' -t "The number of human gene annotations per chromosome"  -c blue

Usage

Commands

uplot is the shortened form of youplot. You can use either.

| Command | Description | |------------------------------------------------|-----------------------------------| | cat data.tsv \| uplot <command> [options] | Take input from stdin | | uplot <command> [options] data.tsv ... | Take input from files | | pipeline1 \| uplot <command> -O \| pipeline2 | Outputs data from stdin to stdout |

Subcommands

The following sub-commands are available.

| command | short | how it works | |-----------|-------|----------------------------------------| | barplot | bar | draw a horizontal barplot | | histogram | hist | draw a horizontal histogram | | lineplot | line | draw a line chart | | lineplots | lines | draw a line chart with multiple series | | scatter | s | draw a scatter plot | | density | d | draw a density plot | | boxplot | box | draw a horizontal boxplot | | | | | | count | c | draw a barplot based on the number of occurrences (slow) | | | | | | colors | color | show the list of available colors |

Output the plot

-o
- By default, the plot is output to standard error output.
- If you want to output to standard output, Use hyphen -o - or no argument uplot s -o | .

Output the input data

-O
- By default, the input data is not shown anywhere.
- If you want to pass the input data directly to the standard output, Use hyphen -O - or no argument uplot s -O |.
- This is useful when passing data to a subsequent pipeline.

Header

-H
- If input data contains a header line, you need to specify the -H option.

Delimiter

-d
- You do not need to use -d option for tab-delimited text since the default value is tab.
- To specify a blank space, you can use uplot bar -d ' ' data.txt.

Real-time data

-p --progress
- Experimental progressive mode is currently under development.
- ruby -e 'loop{puts rand(100)}' | uplot line --progress

Show detailed options for subcommands

--help
- The --help option will show more detailed options for each subcommand.
- uplot hist --help

Set columns as x-axis or y-axis

YouPlot treats the first column as the X axis and the second column as the Y axis. When working with multiple series, the first column is the X axis, the second column is series Y1, the third column is series Y2, and so on.
If you pass only one column of data for line and bar, YouPlot will automatically use a sequential number starting from 1 as the X-axis.
--fmt
- --fmt xyy --fmt xyxy --fmt yx options give you a few more choices. See youplot <command> --help for more details.
- The fmt option may be renamed in the future.
- The -x and -y options might be used to specify columns in the future.
Use awk '{print $2, $1}' to swap columns. Use paste to concatenate series.

Categorical data

With GNU datamash, you can manage to handle categorized data.
- cat test/fixtures/iris.csv | sed '/^$/d' | datamash --header-in --output-delimiter=: -t, -g5 collapse 3,4 | cut -f2-3 -d: | sed 's/:/\n/g' | uplot s -d, -T --fmt xyxy
- This is not so easy...

Time series

Not yet supported.

YouPlot Configuration (youplotrc)

You can specify default options in a configuration file in YAML format. For more information, enter the following command.

uplot --config

Tools that are useful to use with YouPlot

Contributing

YouPlot is a library under development, so even small improvements like typofix are welcome! Please feel free to send us your pull requests.

Report bugs
Fix bugs and submit pull requests
Write, clarify, or fix documentation
- English corrections by native speakers are welcome.
Suggest or add new features
Make a donation

Development

# fork the main repository by clicking the Fork button. 
git clone https://github.com/your_name/YouPlot
bundle install             # Install the gem dependencies
bundle exec rake test      # Run the test
bundle exec rake install   # Installation from source code
bundle exec exe/uplot      # Run youplot (Try out the edited code)

Do you need commit rights to my repos

YouPlot

Install / Use

README