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Use Data struct
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kojix2
parent
e887dc3f5a
commit
ff7b0680aa
@ -303,31 +303,34 @@ module Uplot
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end
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end
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def get_lim(str)
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str.split(/-|:|\.\./)[0..1].map(&:to_f)
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end
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def run
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# Sometimes the input file does not end with a newline code.
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while input = Kernel.gets(nil)
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input.freeze
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@raw_inputs << input
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data, headers = preprocess(input)
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pp input: input, data: data, headers: headers if @debug
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@data = Preprocess.input(input, @delimiter, @headers, @transpose)
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case plot_type
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when :bar, :barplot
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barplot(data, headers)
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barplot(@data)
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when :count, :c
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@count = true
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barplot(data, headers)
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barplot(@data)
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when :hist, :histogram
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histogram(data, headers)
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histogram(@data)
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when :line, :lineplot
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line(data, headers)
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line(@data)
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when :lines, :lineplots
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lines(data, headers)
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lines(@data)
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when :scatter, :scatterplot
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scatter(data, headers)
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scatter(@data)
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when :density
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density(data, headers)
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density(@data)
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when :box, :boxplot
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boxplot(data, headers)
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boxplot(@data)
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else
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raise "unrecognized plot_type: #{plot_type}"
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end.render($stderr)
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@ -336,90 +339,44 @@ module Uplot
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end
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end
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# Transpose different sized ruby arrays
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# https://stackoverflow.com/q/26016632
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def transpose2(arr)
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Array.new(arr.map(&:length).max) { |i| arr.map { |e| e[i] } }
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def barplot(data)
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headers = data.headers
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series = data.series
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if @count
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series = Preprocess.count(series[0])
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params.title = headers[0] if headers
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end
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def preprocess(input)
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arr = CSV.parse(input, col_sep: @delimiter)
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# Remove blank lines.
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arr.delete([])
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# Remove rows where all elements are nil
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arr.delete_if { |i| i.all? nil }
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p parsed_csv: arr if @debug
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headers = get_headers(arr)
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data = get_data(arr)
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[data, headers]
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end
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def get_headers(data)
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if @headers
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if @transpose
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data.map(&:first)
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else
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data[0]
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end
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end
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end
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def get_data(data)
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if @transpose
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if @headers
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data.map { |row| row[1..-1] }
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else
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data
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end
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else
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if @headers
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transpose2(data[1..-1])
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else
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transpose2(data)
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end
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end
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end
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def preprocess_count(data)
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# tally was added in Ruby 2.7
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if Enumerable.method_defined? :tally
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data[0].tally
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else
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# https://github.com/marcandre/backports
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data[0].each_with_object(Hash.new(0)) { |item, res| res[item] += 1 }
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.tap { |h| h.default = nil }
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end
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.sort { |a, b| a[1] <=> b[1] }
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.reverse
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.transpose
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end
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def barplot(data, headers)
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data = preprocess_count(data) if @count
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params.title ||= headers[1] if headers
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UnicodePlot.barplot(data[0], data[1].map(&:to_f), **params.to_hc)
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labels = series[0]
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values = series[1].map(&:to_f)
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UnicodePlot.barplot(labels, values, **params.to_hc)
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end
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def histogram(data, headers)
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params.title ||= headers[0] if headers # labels?
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series = data[0].map(&:to_f)
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UnicodePlot.histogram(series, **params.to_hc)
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def histogram(data)
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headers = data.headers
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series = data.series
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params.title ||= data.headers[0] if headers
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values = series[0].map(&:to_f)
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UnicodePlot.histogram(values, **params.to_hc)
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end
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def get_lim(str)
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str.split(/-|:|\.\./)[0..1].map(&:to_f)
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end
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def line(data, headers)
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if data.size == 1
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def line(data)
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headers = data.headers
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series = data.series
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if series.size == 1
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# If there is only one series, it is assumed to be sequential data.
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params.ylabel ||= headers[0] if headers
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y = data[0].map(&:to_f)
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y = series[0].map(&:to_f)
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UnicodePlot.lineplot(y, **params.to_hc)
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else
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params.xlabel ||= headers[0] if headers
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params.ylabel ||= headers[1] if headers
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x = data[0].map(&:to_f)
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y = data[1].map(&:to_f)
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# If there are 2 or more series,
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# assume that the first 2 series are the x and y series respectively.
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if headers
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params.xlabel ||= headers[0]
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params.ylabel ||= headers[1]
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end
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x = series[0].map(&:to_f)
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y = series[1].map(&:to_f)
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UnicodePlot.lineplot(x, y, **params.to_hc)
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end
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end
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@ -428,65 +385,73 @@ module Uplot
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(method1.to_s + '!').to_sym
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end
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def xyy_plot(data, headers, method1) # improve method name
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def xyy_plot(data, method1)
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headers = data.headers
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series = data.series
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method2 = get_method2(method1)
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data.map! { |series| series.map(&:to_f) }
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params.name ||= headers[1] if headers
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params.xlabel ||= headers[0] if headers
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params.ylim ||= data[1..-1].flatten.minmax # need?
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plot = UnicodePlot.public_send(method1, data[0], data[1], **params.to_hc)
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2.upto(data.size - 1) do |i|
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UnicodePlot.public_send(method2, plot, data[0], data[i], name: headers[i])
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series.map! { |s| s.map(&:to_f) }
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if headers
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params.name ||= headers[1]
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params.xlabel ||= headers[0]
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end
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params.ylim ||= series[1..-1].flatten.minmax # why need?
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plot = UnicodePlot.public_send(method1, series[0], series[1], **params.to_hc)
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2.upto(series.size - 1) do |i|
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UnicodePlot.public_send(method2, plot, series[0], series[i], name: headers&.[](i))
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end
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plot
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end
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def xyxy_plot(data, headers, method1) # improve method name
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def xyxy_plot(data, method1)
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headers = data.headers
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series = data.series
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method2 = get_method2(method1)
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data.map! { |series| series.map(&:to_f) }
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data = data.each_slice(2).to_a
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series.map! { |s| s.map(&:to_f) }
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series = series.each_slice(2).to_a
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params.name ||= headers[0] if headers
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params.xlim = data.map(&:first).flatten.minmax
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params.ylim = data.map(&:last).flatten.minmax
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x1, y1 = data.shift
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params.xlim = series.map(&:first).flatten.minmax # why need?
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params.ylim = series.map(&:last).flatten.minmax # why need?
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x1, y1 = series.shift
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plot = UnicodePlot.public_send(method1, x1, y1, **params.to_hc)
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data.each_with_index do |(xi, yi), i|
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UnicodePlot.public_send(method2, plot, xi, yi, name: headers[(i + 1) * 2])
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series.each_with_index do |(xi, yi), i|
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UnicodePlot.public_send(method2, plot, xi, yi, name: headers&.[]((i + 1) * 2))
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end
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plot
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end
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def lines(data, headers)
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def lines(data)
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case @fmt
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when 'xyy'
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xyy_plot(data, headers, :lineplot)
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xyy_plot(data, :lineplot)
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when 'xyxy'
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xyxy_plot(data, headers, :lineplot)
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xyxy_plot(data, :lineplot)
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end
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end
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def scatter(data, headers)
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def scatter(data)
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case @fmt
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when 'xyy'
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xyy_plot(data, headers, :scatterplot)
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xyy_plot(data, :scatterplot)
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when 'xyxy'
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xyxy_plot(data, headers, :scatterplot)
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xyxy_plot(data, :scatterplot)
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end
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end
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def density(data, headers)
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def density(data)
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case @fmt
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when 'xyy'
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xyy_plot(data, headers, :densityplot)
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xyy_plot(data, :densityplot)
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when 'xyxy'
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xyxy_plot(data, headers, :densityplot)
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xyxy_plot(data, :densityplot)
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end
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end
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def boxplot(data, headers)
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headers ||= (1..data.size).map(&:to_s)
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data.map! { |series| series.map(&:to_f) }
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UnicodePlot.boxplot(headers, data, params.to_hc)
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def boxplot(data)
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headers = data.headers
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series = data.series
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headers ||= (1..series.size).map(&:to_s)
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series.map! { |s| s.map(&:to_f) }
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UnicodePlot.boxplot(headers, series, params.to_hc)
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end
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end
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end
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