YouPlot

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

:crystal_ball: YouPlot2 - Experimental project with pre-built binaries

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 users: 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 from 0 to 2*pi and plots a sine wave.

python3 - <<'PY' | uplot line
from math import sin, pi

for i in range(101):
    print(f"{i*pi/50}\t{sin(i*pi/50)}")
PY

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

• csvtk
• GNU datamash
• awk
• xsv

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
bundle exec rake test
bundle exec rake install
bundle exec exe/uplot

Do you need commit rights to my repository?
Do you want to get admin rights and take over the project?
If so, please feel free to contact us.

Acknowledgements

• sampo grafiikka - Project logo creation
• yutaas - English proofreading

License

MIT License.