Remove needless space

The -x and -y options now stand for --xlabel and --ylabel.

These options should be used to specify the series in the future.

README.md

@@ -1,18 +1,15 @@
 <div align="center">
-  <img src="logo.svg" width="66%" height="66%" />
-  
+  <img src="logo.svg">
   <hr>
+  <img alt="Build Status" src="https://github.com/red-data-tools/YouPlot/workflows/test/badge.svg">
+  <a href="https://rubygems.org/gems/youplot/"><img alt="Gem Version" src="https://badge.fury.io/rb/youplot.svg"></a>
+  <a href="https://zenodo.org/badge/latestdoi/283230219"><img alt="DOI" src="https://zenodo.org/badge/283230219.svg"></a>
+  <a href="https://rubydoc.info/gems/youplot/"><img alt="Docs Stable" src="https://img.shields.io/badge/docs-stable-blue.svg"></a>
+  <a href="LICENSE.txt"><img alt="The MIT License" src="https://img.shields.io/badge/license-MIT-blue.svg"></a>
   
-  ![Build Status](https://github.com/red-data-tools/YouPlot/workflows/test/badge.svg)
-  [![Gem Version](https://badge.fury.io/rb/youplot.svg)](https://badge.fury.io/rb/youplot)
-  [![Docs Stable](https://img.shields.io/badge/docs-stable-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 that draws plots in a terminal.
+  YouPlot is a command line tool that draws plots on the terminal.
 
   :bar_chart: Powered by [UnicodePlot](https://github.com/red-data-tools/unicode_plot.rb)
-  
 </div>
 
 ## Installation
@@ -23,8 +20,9 @@ gem install youplot
 
 ## Quick Start
 
-* `cat data.tsv | uplot <command> [options]` or
-* `uplot <command> [options] <data.tsv>`
+<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>
+
+`uplot <command> [options] <data.tsv>`
 
 ### barplot
 
@@ -36,7 +34,7 @@ curl -sL https://git.io/ISLANDScsv \
 ```
 
 <p align="center">
-<img alt="barplot" src="https://user-images.githubusercontent.com/5798442/101999903-d36a2d00-3d24-11eb-9361-b89116f44122.png">
+  <img alt="barplot" src="https://user-images.githubusercontent.com/5798442/101999903-d36a2d00-3d24-11eb-9361-b89116f44122.png">
 </p>
 
 ### histogram
@@ -103,10 +101,6 @@ curl -sL https://git.io/IRIStsv \
 
 ### 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 \
@@ -117,23 +111,21 @@ cat gencode.v35.annotation.gff3 \
   <img alt="count" src="https://user-images.githubusercontent.com/5798442/101999832-30b1ae80-3d24-11eb-96fe-e5000bed1f5c.png">
 </p>
 
+In this example, YouPlot counts the number of chromosomes where genes are located. 
+* [GENCODE - Human Release](https://www.gencodegenes.org/human/)
+
 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
+| sort | uniq -c | sort -nrk1 \
+| uplot bar --fmt yx -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?
+### Commands
 
 `uplot` is the shortened form of `youplot`. You can use either.
 
@@ -143,18 +135,7 @@ YouPlot is a command line tool for this purpose. With YouPlot, you can continue
 | `uplot <command> [options] data.tsv ...`       | Take input from files             |
 | `pipeline1 \| uplot <command> -O \| pipeline2` | Outputs data from stdin to stdout |
 
-### 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?
+### Subcommands
 
 The following sub-commands are available.
 
@@ -167,66 +148,75 @@ The following sub-commands are available.
 | 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      |
 
-See Quick Start for `count`.
+### Output the plot
 
-| command   | short | how it works                                             |
-|-----------|-------|----------------------------------------------------------|
-| count     | c     |  draw a barplot based on the number of occurrences (slow) |
+* `-o`
+  * By default, the plot is output to **standard error output**.
+  * If you want to output to standard input, Use hyphen ` -o -` or no argument `uplot s -o | `.
 
-### What if the header line is included?
+### Output the input data
 
-If your input data contains a header line, you need to specify the `-H` option.
+* `-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.
 
-### How to specify the delimiter?
+### Header
 
-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.
+* `-H`
+  * If input data contains a header line, you need to specify the `-H` option.
 
-### Is there a way to specify a column as the x-axis or y-axis?
+### Delimiter
 
-Not yet. 
-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. 
+* `-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`. 
 
-* `--fmt xyy` `--fmt xyxy` `--fmt yx` options give you a few more choices. 
-See `youplot <command> --help` for more details. 
+### Real-time data
 
-* Use `awk '{print $2, $1}'` to swap lines.
-* Use `paste` to concatenate series.
+* `-p` `--progress`
+  * Experimental progressive mode is currently under development.
+  * `ruby -e 'loop{puts rand(100)}' | uplot line --progress`
 
-### How to plot real-time data?
+### Show detailed options for subcommands
 
-Experimental progressive mode is currently under development.
+* `--help`
+  * The `--help` option will show more detailed options for each subcommand.
+  * `uplot hist --help`
 
-```sh
-ruby -e 'loop{puts rand(100)}' | uplot line --progress
-```
+### Set columns as x-axis or y-axis
 
-### How to view detailed command line options?
+* 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. 
 
-Use `--help` to print command-specific options.
+* `--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.
 
-`uplot hist --help`
+* Use `awk '{print $2, $1}'` to swap columns. Use `paste` to concatenate series.
 
-```
-Usage: uplot histogram [options] <in.tsv>
+### Categorical data
 
-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
+* 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...
 
-Options:
-...
-```
+### Time series
 
-### How to view the list of available colors?
+* Not yet supported.
 
-```sh
-uplot colors
-```
+## Tools that are useful to use with YouPlot
+
+* [csvtk](https://github.com/shenwei356/csvtk)
+* [GNU datamash](https://www.gnu.org/software/datamash/)
+* [awk](https://www.gnu.org/software/gawk/)
+* [xsv](https://github.com/BurntSushi/xsv)
 
 ## Contributing
 
@@ -248,6 +238,7 @@ 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)
 ```
 
 ### Acknowledgements

lib/youplot/backends/unicode_plot.rb

@@ -6,6 +6,27 @@
 require_relative 'processing'
 require 'unicode_plot'
 
+# If the line color is specified as a number, the program will display an error
+# message to the user and exit. Remove this patch when UnicodePlot is improved.
+
+module UnicodePlot
+  class << self
+    alias lineplot_original lineplot
+    def lineplot(*args, **kw)
+      if kw[:color].is_a? Numeric
+        warn <<~EOS
+          YouPlot: Line colors cannot be specified by numerical values.
+
+          For more information, please see the following issue.
+          https://github.com/red-data-tools/unicode_plot.rb/issues/34
+        EOS
+        YouPlot.run_as_executable ? exit(1) : raise(Error)
+      end
+      lineplot_original(*args, **kw)
+    end
+  end
+end
+
 module YouPlot
   # plotting functions.
   module Backends
@@ -182,7 +203,7 @@ module YouPlot
         series = data.series
         if series.size == 1
           warn <<~EOS
-            youplot: There is only one series of input data. Please check the delimiter.
+            YouPlot: There is only one series of input data. Please check the delimiter.
 
             Headers: \e[35m#{data.headers.inspect}\e[0m
             The first item is: \e[35m\"#{series[0][0]}\"\e[0m

lib/youplot/command.rb

@@ -169,7 +169,7 @@ module YouPlot
     def output_data(input)
       # Pass the input to subsequent pipelines
       case options[:pass]
-      when IO
+      when IO, StringIO
         options[:pass].print(input)
       else
         if options[:pass]

lib/youplot/parser.rb

@@ -58,10 +58,10 @@ module YouPlot
         parser.on('-t', '--title STR', String, 'print string on the top of plot') do |v|
           params.title = v
         end
-        parser.on('-x', '--xlabel STR', String, 'print string on the bottom of the plot') do |v|
+        parser.on('--xlabel STR', String, 'print string on the bottom of the plot') do |v|
           params.xlabel = v
         end
-        parser.on('-y', '--ylabel STR', String, 'print string on the far left of the plot') do |v|
+        parser.on('--ylabel STR', String, 'print string on the far left of the plot') do |v|
           params.ylabel = v
         end
         parser.on('-w', '--width INT', Numeric, 'number of characters per row') do |v|
@@ -130,10 +130,9 @@ module YouPlot
               scatter    s             draw a scatter plot
               density    d             draw a density plot
               boxplot    box           draw a horizontal boxplot
-              colors     color         show the list of available colors
-
               count      c             draw a baplot based on the number of
                                        occurrences (slow)
+              colors     color         show the list of available colors
 
           General options:
               --help                   print command specific help menu

test/youplot/simple_test.rb

@@ -155,21 +155,11 @@ class YouPlotSimpleTest < Test::Unit::TestCase
     assert_equal fixture('simple-lineplot-xlabel.txt'), @stderr_file.read
   end
 
-  test :line_x do
-    YouPlot::Command.new(['line', '-x', 'X-LABEL']).run
-    assert_equal fixture('simple-lineplot-xlabel.txt'), @stderr_file.read
-  end
-
   test :line_ylabel do
     YouPlot::Command.new(['line', '--ylabel', 'Y-LABEL']).run
     assert_equal fixture('simple-lineplot-ylabel.txt'), @stderr_file.read
   end
 
-  test :line_y do
-    YouPlot::Command.new(['line', '-y', 'Y-LABEL']).run
-    assert_equal fixture('simple-lineplot-ylabel.txt'), @stderr_file.read
-  end
-
   test :line_width do
     YouPlot::Command.new(['line', '--width', '17']).run
     assert_equal fixture('simple-lineplot-width-17.txt'), @stderr_file.read