YouPlot/README.md

YouPlot

Create ASCII charts on the terminal with data from standard streams in the pipeline.

📊 Powered by UnicodePlot

Installation

gem install youplot

Quick Start

barplot

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

histogram

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

scatter

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

density

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

boxplot

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

count

In this example, YouPlot counts the number of chromosomes where the gene is located from the human gene annotation file and create a bar chart. The human gene annotation file can be downloaded from the following website.

• https://www.gencodegenes.org/human/

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

Note: count is not very fast because it runs in a Ruby script. This is fine if the data is small, that is, in most cases. However, 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 -nrk2 | awk '{print $2,$1}' \
| uplot bar -d ' ' -t "The number of human gene annotations per chromosome"  -c blue

Usage

file

stream

help

Use --help to print command-specific options.

uplot hist --help

Usage: uplot histogram [options] <in.tsv>

Options for histogram:
        --symbol VAL         character to be used to plot the bars
        --closed VAL
    -n, --nbins VAL          approximate number of bins

Options:
...

colors

uplot colors

Development

Let's keep it simple.

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/kojix2/youplot.

License

MIT License.