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256 lines
9.0 KiB
Markdown
256 lines
9.0 KiB
Markdown
<div align="center">
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<img src="logo.svg">
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<hr>
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<img alt="Build Status" src="https://github.com/red-data-tools/YouPlot/workflows/test/badge.svg">
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<a href="https://rubygems.org/gems/youplot/"><img alt="Gem Version" src="https://badge.fury.io/rb/youplot.svg"></a>
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<a href="https://zenodo.org/badge/latestdoi/283230219"><img alt="DOI" src="https://zenodo.org/badge/283230219.svg"></a>
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<a href="https://rubydoc.info/gems/youplot/"><img alt="Docs Stable" src="https://img.shields.io/badge/docs-stable-blue.svg"></a>
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<a href="LICENSE.txt"><img alt="The MIT License" src="https://img.shields.io/badge/license-MIT-blue.svg"></a>
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YouPlot is a command line tool that draws plots on the terminal.
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:bar_chart: Powered by [UnicodePlot](https://github.com/red-data-tools/unicode_plot.rb)
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</div>
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## Installation
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```
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gem install youplot
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```
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## Quick Start
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<img alt="barplot" src="https://user-images.githubusercontent.com/5798442/101999903-d36a2d00-3d24-11eb-9361-b89116f44122.png" width=160> <img alt="histogram" src="https://user-images.githubusercontent.com/5798442/101999820-21cafc00-3d24-11eb-86db-e410d19b07df.png" width=160> <img alt="scatter" src="https://user-images.githubusercontent.com/5798442/101999827-27284680-3d24-11eb-9903-551857eaa69c.png" width=160> <img alt="density" src="https://user-images.githubusercontent.com/5798442/101999828-2abbcd80-3d24-11eb-902c-2f44266fa6ae.png" width=160> <img alt="boxplot" src="https://user-images.githubusercontent.com/5798442/101999830-2e4f5480-3d24-11eb-8891-728c18bf5b35.png" width=160>
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`uplot <command> [options] <data.tsv>`
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### barplot
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```sh
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curl -sL https://git.io/ISLANDScsv \
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| sort -nk2 -t, \
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| tail -n15 \
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| uplot bar -d, -t "Areas of the World's Major Landmasses"
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```
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<p align="center">
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<img alt="barplot" src="https://user-images.githubusercontent.com/5798442/101999903-d36a2d00-3d24-11eb-9361-b89116f44122.png">
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</p>
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### histogram
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```sh
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echo -e "from numpy import random;" \
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"n = random.randn(10000);" \
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"print('\\\n'.join(str(i) for i in n))" \
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| python \
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| uplot hist --nbins 20
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```
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<p align="center">
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<img alt="histogram" src="https://user-images.githubusercontent.com/5798442/101999820-21cafc00-3d24-11eb-86db-e410d19b07df.png">
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</p>
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### lineplot
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```sh
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curl -sL https://git.io/AirPassengers \
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| cut -f2,3 -d, \
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| uplot line -d, -w 50 -h 15 -t AirPassengers --xlim 1950,1960 --ylim 0,600
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```
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<p align="center">
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<img alt="lineplot" src="https://user-images.githubusercontent.com/5798442/101999825-24c5ec80-3d24-11eb-99f4-c642e8d221bc.png">
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</p>
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### scatter
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```sh
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curl -sL https://git.io/IRIStsv \
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| cut -f1-4 \
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| uplot scatter -H -t IRIS
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```
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<p align="center">
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<img alt="scatter" src="https://user-images.githubusercontent.com/5798442/101999827-27284680-3d24-11eb-9903-551857eaa69c.png">
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</p>
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### density
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```sh
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curl -sL https://git.io/IRIStsv \
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| cut -f1-4 \
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| uplot density -H -t IRIS
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```
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<p align="center">
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<img alt="density" src="https://user-images.githubusercontent.com/5798442/101999828-2abbcd80-3d24-11eb-902c-2f44266fa6ae.png">
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</p>
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### boxplot
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```sh
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curl -sL https://git.io/IRIStsv \
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| cut -f1-4 \
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| uplot boxplot -H -t IRIS
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```
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<p align="center">
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<img alt="boxplot" src="https://user-images.githubusercontent.com/5798442/101999830-2e4f5480-3d24-11eb-8891-728c18bf5b35.png">
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</p>
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### count
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```sh
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cat gencode.v35.annotation.gff3 \
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| grep -v '#' | grep 'gene' | cut -f1 \
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| uplot count -t "The number of human gene annotations per chromosome" -c blue
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```
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<p align="center">
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<img alt="count" src="https://user-images.githubusercontent.com/5798442/101999832-30b1ae80-3d24-11eb-96fe-e5000bed1f5c.png">
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</p>
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In this example, YouPlot counts the number of chromosomes where genes are located.
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* [GENCODE - Human Release](https://www.gencodegenes.org/human/)
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Note: `count` is not very fast because it runs in a Ruby script.
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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.
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```sh
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cat gencode.v35.annotation.gff3 | grep -v '#' | grep 'gene' | cut -f1 \
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| sort | uniq -c | sort -nrk1 \
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| uplot bar --fmt yx -d ' ' -t "The number of human gene annotations per chromosome" -c blue
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```
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## Usage
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### Commands
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`uplot` is the shortened form of `youplot`. You can use either.
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| Command | Description |
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|------------------------------------------------|-----------------------------------|
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| `cat data.tsv \| uplot <command> [options]` | Take input from stdin |
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| `uplot <command> [options] data.tsv ...` | Take input from files |
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| `pipeline1 \| uplot <command> -O \| pipeline2` | Outputs data from stdin to stdout |
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### Subcommands
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The following sub-commands are available.
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| command | short | how it works |
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|-----------|-------|----------------------------------------|
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| barplot | bar | draw a horizontal barplot |
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| histogram | hist | draw a horizontal histogram |
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| lineplot | line | draw a line chart |
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| lineplots | lines | draw a line chart with multiple series |
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| scatter | s | draw a scatter plot |
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| density | d | draw a density plot |
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| boxplot | box | draw a horizontal boxplot |
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| count | c | draw a barplot based on the number of occurrences (slow) |
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| colors | color | show the list of available colors |
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### Output the plot
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* `-o`
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* By default, the plot is output to **standard error output**.
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* If you want to output to standard input, Use hyphen ` -o -` or no argument `uplot s -o | `.
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### Output the input data
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* `-O`
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* By default, the input data is not shown anywhere.
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* If you want to pass the input data directly to the standard output, Use hyphen `-O -` or no argument `uplot s -O |`.
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* This is useful when passing data to a subsequent pipeline.
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### Header
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* `-H`
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* If input data contains a header line, you need to specify the `-H` option.
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### Delimiter
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* `-d`
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* You do not need to use `-d` option for tab-delimited text since the default value is tab.
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* To specify a blank space, you can use `uplot bar -d ' ' data.txt`.
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### Real-time data
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* `-p` `--progress`
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* Experimental progressive mode is currently under development.
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* `ruby -e 'loop{puts rand(100)}' | uplot line --progress`
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### Show detailed options for subcommands
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* `--help`
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* The `--help` option will show more detailed options for each subcommand.
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* `uplot hist --help`
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### Set columns as x-axis or y-axis
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* 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.
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* 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.
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* `--fmt`
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* `--fmt xyy` `--fmt xyxy` `--fmt yx` options give you a few more choices. See `youplot <command> --help` for more details.
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* The fmt option may be renamed in the future.
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* The `-x` and `-y` options might be used to specify columns in the future.
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* Use `awk '{print $2, $1}'` to swap columns. Use `paste` to concatenate series.
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### Categorical data
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* With GNU datamash, you can manage to handle categorized data.
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* `cat test/fixtures/iris.csv | sed '/^$/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`
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* This is not so easy...
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### Time series
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* Not yet supported.
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## Tools that are useful to use with YouPlot
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* [csvtk](https://github.com/shenwei356/csvtk)
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* [GNU datamash](https://www.gnu.org/software/datamash/)
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* [awk](https://www.gnu.org/software/gawk/)
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* [xsv](https://github.com/BurntSushi/xsv)
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## Contributing
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YouPlot is a library under development, so even small improvements like typofix are welcome!
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Please feel free to send us your pull requests.
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* [Report bugs](https://github.com/red-data-tools/YouPlot/issues)
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* Fix bugs and [submit pull requests](https://github.com/red-data-tools/YouPlot/pulls)
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* Write, clarify, or fix documentation
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* English corrections by native speakers are welcome.
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* Suggest or add new features
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* Make a donation
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### Development
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```sh
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# fork the main repository by clicking the Fork button.
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git clone https://github.com/your_name/YouPlot
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bundle install # Install the gem dependencies
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bundle exec rake test # Run the test
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bundle exec rake install # Installation from source code
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bundle exec exe/uplot # Run youplot (Try out the edited code)
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```
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Do you need commit rights to my repository?
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Do you want to get admin rights and take over the project?
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If so, please feel free to contact us.
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### Acknowledgements
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* [sampo grafiikka](https://jypg.net/sampo_grafiikka) - Project logo creation
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* [yutaas](https://github.com/yutaas) - English proofreading
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## License
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[MIT License](https://opensource.org/licenses/MIT).
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