Class: Rover::DataFrame
- Inherits:
-
Object
- Object
- Rover::DataFrame
- Defined in:
- lib/rover/data_frame.rb
Instance Method Summary collapse
- #+(other) ⇒ Object
-
#==(other) ⇒ Object
don't check types.
- #[](where) ⇒ Object
- #[]=(k, v) ⇒ Object
-
#any? ⇒ Boolean
should this check for columns as well?.
- #clear ⇒ Object
-
#concat(other) ⇒ Object
in-place, like Array#concat TODO make more performant.
- #deep_dup ⇒ Object
- #delete(key) ⇒ Object
- #each_row ⇒ Object
-
#empty? ⇒ Boolean
should this check for columns as well?.
- #except(*keys) ⇒ Object
- #except!(*keys) ⇒ Object
- #first(n = 1) ⇒ Object
- #group(*columns) ⇒ Object
- #head(n = 5) ⇒ Object
- #include?(key) ⇒ Boolean
-
#initialize(*args) ⇒ DataFrame
constructor
A new instance of DataFrame.
-
#inner_join(other, on: nil) ⇒ Object
see join for options.
-
#inspect ⇒ Object
(also: #to_s)
TODO handle long text better.
- #keys ⇒ Object (also: #names, #vector_names)
- #last(n = 1) ⇒ Object
-
#left_join(other, on: nil) ⇒ Object
see join for options.
- #merge(other) ⇒ Object
- #merge!(other) ⇒ Object
-
#one_hot(drop: false) ⇒ Object
TODO raise error when collision.
- #plot(x = nil, y = nil, type: nil, group: nil, stacked: nil) ⇒ Object
- #rename(mapping) ⇒ Object
- #sample(*args, **kwargs) ⇒ Object
- #shape ⇒ Object
- #size ⇒ Object (also: #length, #count)
- #sort_by(&block) ⇒ Object
- #sort_by! ⇒ Object
- #tail(n = 5) ⇒ Object
- #to_a ⇒ Object
- #to_csv ⇒ Object
- #to_h ⇒ Object
-
#to_html ⇒ Object
for IRuby.
- #to_numo ⇒ Object
- #to_parquet ⇒ Object
- #types ⇒ Object
-
#vectors ⇒ Object
dup to prevent direct modification of keys.
Constructor Details
#initialize(*args) ⇒ DataFrame
Returns a new instance of DataFrame.
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# File 'lib/rover/data_frame.rb', line 3 def initialize(*args) data, = process_args(args) @vectors = {} types = ([:types] || {}).transform_keys(&:to_s) if data.is_a?(DataFrame) data.vectors.each do |k, v| @vectors[k] = v end elsif data.is_a?(Hash) data.to_h.each do |k, v| @vectors[k] = if v.respond_to?(:to_a) Vector.new(v, type: types[k.to_s]) else v end end # handle scalars size = @vectors.values.find { |v| v.is_a?(Vector) }&.size || 1 @vectors.each_key do |k| @vectors[k] = to_vector(@vectors[k], size: size, type: types[k.to_s]) end elsif data.is_a?(Array) vectors = {} raise ArgumentError, "Array elements must be hashes" unless data.all?(Hash) keys = data.flat_map(&:keys).uniq keys.each do |k| vectors[k] = [] end data.each do |d| keys.each do |k| vectors[k] << d[k] end end vectors.each do |k, v| @vectors[k] = to_vector(v, type: types[k.to_s]) end elsif defined?(ActiveRecord) && (data.is_a?(ActiveRecord::Relation) || (data.is_a?(Class) && data < ActiveRecord::Base) || data.is_a?(ActiveRecord::Result)) result = data.is_a?(ActiveRecord::Result) ? data : data.connection_pool.with_connection { |c| c.select_all(data.all.to_sql) } result.columns.each_with_index do |k, i| @vectors[k] = to_vector(result.rows.map { |r| r[i] }, type: types[k.to_s]) end else raise ArgumentError, "Cannot cast to data frame: #{data.class.name}" end # check keys @vectors.each_key do |k| check_key(k) end # TODO check for duplicate keys @vectors.transform_keys!(&:to_s) # check sizes sizes = @vectors.values.map(&:size).uniq if sizes.size > 1 raise ArgumentError, "Different sizes: #{sizes}" end end |
Instance Method Details
#+(other) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 385 def +(other) dup.concat(other) end |
#==(other) ⇒ Object
don't check types
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# File 'lib/rover/data_frame.rb', line 426 def ==(other) size == other.size && keys == other.keys && keys.all? { |k| self[k].to_numo == other[k].to_numo } end |
#[](where) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 67 def [](where) # TODO use path for all vectors in 2.0 if (where.is_a?(Vector) && (where.type == :bool || Vector::INTEGER_TYPES.include?(where.type))) || where.is_a?(Numeric) || where.is_a?(Range) || (where.is_a?(Array) && where.all?(Integer)) new_vectors = {} @vectors.each do |k, v| new_vectors[k] = v[where] end DataFrame.new(new_vectors) elsif where.is_a?(Array) # TODO raise error in 2.0 unless where.all? { |v| v.is_a?(String) || v.is_a?(Symbol) } warn "[rover] Unsupported selector" end # multiple columns df = DataFrame.new where.each do |k| check_column(k) df[k] = @vectors[k.to_s] end df else # TODO raise error in 2.0 unless where.is_a?(String) || where.is_a?(Symbol) warn "[rover] Unsupported selector" end # single column @vectors[where.to_s] end end |
#[]=(k, v) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 116 def []=(k, v) check_key(k) v = to_vector(v, size: size) raise ArgumentError, "Size mismatch (given #{v.size}, expected #{size})" if @vectors.any? && v.size != size @vectors[k.to_s] = v end |
#any? ⇒ Boolean
should this check for columns as well?
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# File 'lib/rover/data_frame.rb', line 130 def any? size > 0 end |
#clear ⇒ Object
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# File 'lib/rover/data_frame.rb', line 139 def clear @vectors.clear end |
#concat(other) ⇒ Object
in-place, like Array#concat TODO make more performant
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# File 'lib/rover/data_frame.rb', line 391 def concat(other) raise ArgumentError, "Must be a data frame" unless other.is_a?(DataFrame) size = self.size vectors.each do |k, v| @vectors[k] = Vector.new(v.to_a + (other[k] ? other[k].to_a : Array.new(other.size))) end (other.vector_names - vector_names).each do |k| @vectors[k] = Vector.new(Array.new(size) + other[k].to_a) end self end |
#deep_dup ⇒ Object
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# File 'lib/rover/data_frame.rb', line 377 def deep_dup df = DataFrame.new @vectors.each do |k, v| df[k] = v.dup end df end |
#delete(key) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 165 def delete(key) @vectors.delete(key.to_s) end |
#each_row ⇒ Object
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# File 'lib/rover/data_frame.rb', line 99 def each_row return enum_for(:each_row) unless block_given? size.times do |i| yield @vectors.map { |k, v| [k, v[i]] }.to_h end end |
#empty? ⇒ Boolean
should this check for columns as well?
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# File 'lib/rover/data_frame.rb', line 135 def empty? size == 0 end |
#except(*keys) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 169 def except(*keys) dup.except!(*keys) end |
#except!(*keys) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 173 def except!(*keys) keys.each do |key| delete(key) end self end |
#first(n = 1) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 192 def first(n = 1) new_vectors = {} @vectors.each do |k, v| new_vectors[k] = v.first(n) end DataFrame.new(new_vectors) end |
#group(*columns) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 366 def group(*columns) Group.new(self, columns.flatten.map(&:to_s)) end |
#head(n = 5) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 184 def head(n = 5) first(n) end |
#include?(key) ⇒ Boolean
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# File 'lib/rover/data_frame.rb', line 180 def include?(key) @vectors.include?(key.to_s) end |
#inner_join(other, on: nil) ⇒ Object
see join for options
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# File 'lib/rover/data_frame.rb', line 416 def inner_join(other, on: nil) join(other, on: on, how: "inner") end |
#inspect ⇒ Object Also known as: to_s
TODO handle long text better
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# File 'lib/rover/data_frame.rb', line 316 def inspect return "#<Rover::DataFrame>" if keys.empty? lines = [] line_start = 0 spaces = 2 summarize = size >= 30 @vectors.each do |k, v| v = summarize ? v.first(5).to_a + ["..."] + v.last(5).to_a : v.to_a width = ([k] + v).map { |v2| v2.to_s.size }.max width = 3 if width < 3 if lines.empty? || lines[-2].sum { |l| l.size + spaces } + width > 120 line_start = lines.size lines << [] v.size.times do |i| lines << [] end lines << [] end lines[line_start] << "%#{width}s" % k.to_s v.each_with_index do |v2, i| lines[line_start + 1 + i] << "%#{width}s" % v2.to_s end end lines.pop lines.map { |l| l.join(" " * spaces) }.join("\n") end |
#keys ⇒ Object Also known as: names, vector_names
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# File 'lib/rover/data_frame.rb', line 147 def keys @vectors.keys end |
#last(n = 1) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 200 def last(n = 1) new_vectors = {} @vectors.each do |k, v| new_vectors[k] = v.last(n) end DataFrame.new(new_vectors) end |
#left_join(other, on: nil) ⇒ Object
see join for options
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# File 'lib/rover/data_frame.rb', line 421 def left_join(other, on: nil) join(other, on: on, how: "left") end |
#merge(other) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 404 def merge(other) dup.merge!(other) end |
#merge!(other) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 408 def merge!(other) other.vectors.each do |k, v| self[k] = v end self end |
#one_hot(drop: false) ⇒ Object
TODO raise error when collision
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# File 'lib/rover/data_frame.rb', line 235 def one_hot(drop: false) df = DataFrame.new vectors.each do |k, v| if v.to_numo.is_a?(Numo::RObject) df.merge!(v.one_hot(drop: drop, prefix: "#{k}_")) else df[k] = v end end df rescue ArgumentError => e if e. == "All elements must be strings" # better error message raise ArgumentError, "All elements must be numeric or strings" end raise e end |
#plot(x = nil, y = nil, type: nil, group: nil, stacked: nil) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 432 def plot(x = nil, y = nil, type: nil, group: nil, stacked: nil) require "vega" raise ArgumentError, "Must specify columns" if keys.size != 2 && (!x || !y) x ||= keys[0] y ||= keys[1] type ||= begin if self[x].numeric? && self[y].numeric? "scatter" elsif types[x] == :object && self[y].numeric? "column" else raise "Cannot determine type. Use the type option." end end data = self[group.nil? ? [x, y] : [x, y, group]] case type when "line", "area" x_type = if data[x].numeric? "quantitative" elsif data[x].all? { |v| v.is_a?(Date) || v.is_a?(Time) } "temporal" else "nominal" end scale = x_type == "temporal" ? {type: "utc"} : {} encoding = { x: {field: x, type: x_type, scale: scale}, y: {field: y, type: "quantitative"} } encoding[:color] = {field: group} if group Vega.lite .data(data) .mark(type: type, tooltip: true, interpolate: "cardinal", point: {size: 60}) .encoding(encoding) .config(axis: {labelFontSize: 12}) when "pie" raise ArgumentError, "Cannot use group option with pie chart" unless group.nil? Vega.lite .data(data) .mark(type: "arc", tooltip: true) .encoding( color: {field: x, type: "nominal", sort: "none", axis: {title: nil}, legend: {labelFontSize: 12}}, theta: {field: y, type: "quantitative"} ) .view(stroke: nil) when "column" encoding = { x: {field: x, type: "nominal", sort: "none", axis: {labelAngle: 0}}, y: {field: y, type: "quantitative"} } if group encoding[:color] = {field: group} encoding[:xOffset] = {field: group} unless stacked end Vega.lite .data(data) .mark(type: "bar", tooltip: true) .encoding(encoding) .config(axis: {labelFontSize: 12}) when "bar" encoding = { # TODO determine label angle y: {field: x, type: "nominal", sort: "none", axis: {labelAngle: 0}}, x: {field: y, type: "quantitative"} } if group encoding[:color] = {field: group} encoding[:yOffset] = {field: group} unless stacked end Vega.lite .data(data) .mark(type: "bar", tooltip: true) .encoding(encoding) .config(axis: {labelFontSize: 12}) when "scatter" encoding = { x: {field: x, type: "quantitative", scale: {zero: false}}, y: {field: y, type: "quantitative", scale: {zero: false}}, size: {value: 60} } encoding[:color] = {field: group} if group Vega.lite .data(data) .mark(type: "circle", tooltip: true) .encoding(encoding) .config(axis: {labelFontSize: 12}) else raise ArgumentError, "Invalid type: #{type}" end end |
#rename(mapping) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 153 def rename(mapping) mapping.each_key do |k| check_column(k) end mapping = mapping.to_h { |k, v| [k.to_s, v.to_s] } # use transform_keys! to preserve order @vectors.transform_keys! do |k| mapping[k] || k end self end |
#sample(*args, **kwargs) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 208 def sample(*args, **kwargs) # TODO make more efficient indexes = (0...size).to_a.sample(*args, **kwargs) self[indexes] end |
#shape ⇒ Object
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# File 'lib/rover/data_frame.rb', line 143 def shape [size, @vectors.size] end |
#size ⇒ Object Also known as: length, count
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# File 'lib/rover/data_frame.rb', line 123 def size @vectors.values.first&.size || 0 end |
#sort_by(&block) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 362 def sort_by(&block) dup.sort_by!(&block) end |
#sort_by! ⇒ Object
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# File 'lib/rover/data_frame.rb', line 350 def sort_by! indexes = size.times.sort_by do |i| yield @vectors.map { |k, v| [k, v[i]] }.to_h end @vectors.each do |k, v| self[k] = v.to_numo.at(indexes) end self end |
#tail(n = 5) ⇒ Object
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# File 'lib/rover/data_frame.rb', line 188 def tail(n = 5) last(n) end |
#to_a ⇒ Object
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# File 'lib/rover/data_frame.rb', line 214 def to_a a = [] each_row do |row| a << row end a end |
#to_csv ⇒ Object
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# File 'lib/rover/data_frame.rb', line 253 def to_csv require "csv" CSV.generate do |csv| csv << keys numo = vectors.values.map(&:to_numo) size.times do |i| csv << numo.map { |n| n[i] } end end end |
#to_h ⇒ Object
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# File 'lib/rover/data_frame.rb', line 222 def to_h hsh = {} @vectors.each do |k, v| hsh[k] = v.to_a end hsh end |
#to_html ⇒ Object
for IRuby
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# File 'lib/rover/data_frame.rb', line 304 def to_html require "iruby" if size > 7 # pass 8 rows so maxrows is applied IRuby::HTML.table((self[0..4] + self[-4..-1]).to_h, maxrows: 7) else IRuby::HTML.table(to_h) end end |
#to_numo ⇒ Object
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# File 'lib/rover/data_frame.rb', line 230 def to_numo Numo::NArray.column_stack(vectors.values.map(&:to_numo)) end |
#to_parquet ⇒ Object
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# File 'lib/rover/data_frame.rb', line 265 def to_parquet require "parquet" schema = {} types.each do |name, type| schema[name] = case type when :int64 :int64 when :uint64 :uint64 when :float64 :double when :float32 :float when :bool :boolean when :object if @vectors[name].all?(String) :string else raise "Unknown type" end else type end end # TODO improve performance raw_records = [] size.times do |i| raw_records << @vectors.map { |_, v| v[i] } end table = Arrow::Table.new(schema, raw_records) buffer = Arrow::ResizableBuffer.new(1024) table.save(buffer, format: :parquet) buffer.data.to_s end |
#types ⇒ Object
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# File 'lib/rover/data_frame.rb', line 112 def types @vectors.map { |k, v| [k, v.type] }.to_h end |
#vectors ⇒ Object
dup to prevent direct modification of keys
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# File 'lib/rover/data_frame.rb', line 108 def vectors @vectors.dup end |