brew install youplot
gem install youplot
guix install youplot
conda install -c conda-forge ruby
conda install -c conda-forge compilers
gem install youplot
uplot <command> [options] <data.tsv>
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 ' 'echo -e "from numpy import random;" \
"n = random.randn(10000);" \
"print('\\\n'.join(str(i) for i in n))" \
| python3 \
| uplot hist --nbins 20
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 linecurl -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 IRIScurl -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 IRIScurl -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 IRISCount processes by user ID.
ps aux | awk '{print $1}' | uplot countCount 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
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 blueuplot 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 |
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 |
-o- By default, the plot is output to standard error output.
- If you want to output to standard output, Use hyphen
-o -or no argumentuplot s -o |.
-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 argumentuplot s -O |. - This is useful when passing data to a subsequent pipeline.
-H- If input data contains a header line, you need to specify the
-Hoption.
- If input data contains a header line, you need to specify the
-d- You do not need to use
-doption for tab-delimited text since the default value is tab. - To specify a blank space, you can use
uplot bar -d ' ' data.txt.
- You do not need to use
-p--progress- Experimental progressive mode is currently under development.
ruby -e 'loop{puts rand(100)}' | uplot line --progress
--help- The
--helpoption will show more detailed options for each subcommand. uplot hist --help
- The
-
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
lineandbar, YouPlot will automatically use a sequential number starting from 1 as the X-axis. -
--fmt--fmt xyy--fmt xyxy--fmt yxoptions give you a few more choices. Seeyouplot <command> --helpfor more details.- The fmt option may be renamed in the future.
- The
-xand-yoptions might be used to specify columns in the future.
-
Use
awk '{print $2, $1}'to swap columns. Usepasteto concatenate series.
- With GNU datamash, you can manage to handle categorized data.
cat test/fixtures/iris.csv | sed '/^$/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...
- Not yet supported.
You can specify default options in a configuration file in YAML format. For more information, enter the following command.
uplot --config
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
# 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 repository?
Do you want to get admin rights and take over the project?
If so, please feel free to contact us.
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