YouPlot/README.md
2021-02-10 00:43:26 +09:00

247 lines
8.2 KiB
Markdown
Raw Blame History

This file contains invisible Unicode characters

This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

<p align="center">
<img src="logo.svg" width="100%" height="100%" />
</7>
![Build Status](https://github.com/kojix2/youplot/workflows/test/badge.svg)
[![Gem Version](https://badge.fury.io/rb/youplot.svg)](https://badge.fury.io/rb/youplot)
[![Docs Latest](https://img.shields.io/badge/docs-latest-blue.svg)](https://rubydoc.info/gems/youplot)
[![The MIT License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE.txt)
[![DOI](https://zenodo.org/badge/283230219.svg)](https://zenodo.org/badge/latestdoi/283230219)
YouPlot is a command line tool for Unicode Plotting working with data from standard stream.
:bar_chart: Powered by [UnicodePlot](https://github.com/red-data-tools/unicode_plot.rb)
## Installation
```
gem install youplot
```
## Quick Start
* `cat data.tsv | uplot <command> [options]` or
* `uplot <command> [options] <data.tsv>`
### barplot
```sh
curl -sL https://git.io/ISLANDScsv \
| sort -nk2 -t, \
| tail -n15 \
| uplot bar -d, -t "Areas of the World's Major Landmasses"
```
<p align="center">
<img alt="barplot" src="https://user-images.githubusercontent.com/5798442/101999903-d36a2d00-3d24-11eb-9361-b89116f44122.png">
</p>
### histogram
```sh
echo -e "from numpy import random;" \
"n = random.randn(10000);" \
"print('\\\n'.join(str(i) for i in n))" \
| python \
| uplot hist --nbins 20
```
<p align="center">
<img alt="histogram" src="https://user-images.githubusercontent.com/5798442/101999820-21cafc00-3d24-11eb-86db-e410d19b07df.png">
</p>
### lineplot
```sh
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
```
<p align="center">
<img alt="lineplot" src="https://user-images.githubusercontent.com/5798442/101999825-24c5ec80-3d24-11eb-99f4-c642e8d221bc.png">
</p>
### scatter
```sh
curl -sL https://git.io/IRIStsv \
| cut -f1-4 \
| uplot scatter -H -t IRIS
```
<p align="center">
<img alt="scatter" src="https://user-images.githubusercontent.com/5798442/101999827-27284680-3d24-11eb-9903-551857eaa69c.png">
</p>
### density
```sh
curl -sL https://git.io/IRIStsv \
| cut -f1-4 \
| uplot density -H -t IRIS
```
<p align="center">
<img alt="density" src="https://user-images.githubusercontent.com/5798442/101999828-2abbcd80-3d24-11eb-902c-2f44266fa6ae.png">
</p>
### boxplot
```sh
curl -sL https://git.io/IRIStsv \
| cut -f1-4 \
| uplot boxplot -H -t IRIS
```
<p align="center">
<img alt="boxplot" src="https://user-images.githubusercontent.com/5798442/101999830-2e4f5480-3d24-11eb-8891-728c18bf5b35.png">
</p>
### count
In this example, YouPlot counts the number of chromosomes where the gene is located from the human gene annotation file and it creates a bar chart. The human gene annotation file can be downloaded from the following website.
* https://www.gencodegenes.org/human/
```sh
cat gencode.v35.annotation.gff3 \
| grep -v '#' | grep 'gene' | cut -f1 | \
uplot count -t "The number of human gene annotations per chromosome" -c blue
```
<p align="center">
<img alt="count" src="https://user-images.githubusercontent.com/5798442/101999832-30b1ae80-3d24-11eb-96fe-e5000bed1f5c.png">
</p>
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.
```sh
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
### Why YouPlot?
Wouldn't it be a pain to have to run R, Python, Julia, gnuplot or whatever REPL just to check your data?
YouPlot is a command line tool for this purpose. With YouPlot, you can continue working without leaving your terminal and shell.
### how to use YouPlot?
`uplot` is the shortened form of `youplot`. You can use either.
| | |
|-----------------------------------|------------------------------------------------|
| Reads data from standard input | `cat data.tsv \| uplot <command> [options]` |
| Reads data from files | `uplot <command> [options] data.tsv ...` |
| Outputs data from stdin to stdout | `pipeline1 \| uplot <command> -O \| pipeline2` |
### Where to output the plot?
By default, the plot is output to *standard error output*.
The output file or stream for the plot can be specified with the `-o` option.
### Where to output the input data?
By default, the input data is not shown anywhere.
The `-O` option, with no arguments, outputs the input data directly to the standard output. This is useful when passing data to a subsequent pipeline.
### What types of plots are available?
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 |
See Quick Start for `count`.
| command | short | how it works |
|-----------|-------|----------------------------------------------------------|
| count | c | draw a barplot based on the number of occurrences (slow) |
### What if the header line is included?
If your input data contains a header line, you need to specify the `-H` option.
### How to specify the delimiter?
Use the `-d` option. To specify a blank space, you can use `uplot bar -d ' ' data.txt`. You do not need to use `-d` option for tab-delimited text since the default value is tab.
### Is there a way to specify a column as the x-axis or y-axis?
Not yet. In principle, YouPlot treats the first column as the X axis and the second column as the Y axis. When working with multiple series, the first row is the X axis, the second row is series 1, the third row is series 2, 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. The `--fmt xyy`, `--fmt xyxy` and `--fmt yx` options give you a few more choices. See `youplot <command> --help` for more details. YouPlot has limited functionalities, but you can use shell scripts such as `awk '{print $2, $1}'` to swap lines.
### How to plot real-time data?
Experimental progressive mode is currently under development.
```sh
ruby -e 'loop{puts rand(100)}' | uplot line --progress
```
### How to view detailed command line options?
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 side of the intervals to be closed [left]
-n, --nbins VAL approximate number of bins
Options:
...
```
### How to view the list of available colors?
```sh
uplot colors
```
## 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](https://github.com/kojix2/youplot/issues)
* Fix bugs and [submit pull requests](https://github.com/kojix2/youplot/pulls)
* Write, clarify, or fix documentation
* English corrections by native speakers are welcome.
* Suggest or add new features
### Development
```sh
git clone https://github.com/your_name/GR.rb # Clone the Git repo
cd GR.rb
bundle install # Install the gem dependencies
bundle exec rake test # Run the test
bundle exec rake install # Installation from source code
```
### Acknowledgements
* [Red Data Tools](https://github.com/red-data-tools) - Technical support
* [sampo grafiikka](https://jypg.net/sampo_grafiikka) - Project logo creation
* [yutaas](https://github.com/yutaas) - English proofreading
## License
[MIT License](https://opensource.org/licenses/MIT).