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Direktori : /proc/thread-self/root/proc/self/root/opt/alt/ruby31/share/ruby/csv/ |
Current File : //proc/thread-self/root/proc/self/root/opt/alt/ruby31/share/ruby/csv/table.rb |
# frozen_string_literal: true require "forwardable" class CSV # = \CSV::Table # A \CSV::Table instance represents \CSV data. # (see {class CSV}[../CSV.html]). # # The instance may have: # - Rows: each is a Table::Row object. # - Headers: names for the columns. # # === Instance Methods # # \CSV::Table has three groups of instance methods: # - Its own internally defined instance methods. # - Methods included by module Enumerable. # - Methods delegated to class Array.: # * Array#empty? # * Array#length # * Array#size # # == Creating a \CSV::Table Instance # # Commonly, a new \CSV::Table instance is created by parsing \CSV source # using headers: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.class # => CSV::Table # # You can also create an instance directly. See ::new. # # == Headers # # If a table has headers, the headers serve as labels for the columns of data. # Each header serves as the label for its column. # # The headers for a \CSV::Table object are stored as an \Array of Strings. # # Commonly, headers are defined in the first row of \CSV source: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.headers # => ["Name", "Value"] # # If no headers are defined, the \Array is empty: # table = CSV::Table.new([]) # table.headers # => [] # # == Access Modes # # \CSV::Table provides three modes for accessing table data: # - \Row mode. # - Column mode. # - Mixed mode (the default for a new table). # # The access mode for a\CSV::Table instance affects the behavior # of some of its instance methods: # - #[] # - #[]= # - #delete # - #delete_if # - #each # - #values_at # # === \Row Mode # # Set a table to row mode with method #by_row!: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.by_row! # => #<CSV::Table mode:row row_count:4> # # Specify a single row by an \Integer index: # # Get a row. # table[1] # => #<CSV::Row "Name":"bar" "Value":"1"> # # Set a row, then get it. # table[1] = CSV::Row.new(['Name', 'Value'], ['bam', 3]) # table[1] # => #<CSV::Row "Name":"bam" "Value":3> # # Specify a sequence of rows by a \Range: # # Get rows. # table[1..2] # => [#<CSV::Row "Name":"bam" "Value":3>, #<CSV::Row "Name":"baz" "Value":"2">] # # Set rows, then get them. # table[1..2] = [ # CSV::Row.new(['Name', 'Value'], ['bat', 4]), # CSV::Row.new(['Name', 'Value'], ['bad', 5]), # ] # table[1..2] # => [["Name", #<CSV::Row "Name":"bat" "Value":4>], ["Value", #<CSV::Row "Name":"bad" "Value":5>]] # # === Column Mode # # Set a table to column mode with method #by_col!: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.by_col! # => #<CSV::Table mode:col row_count:4> # # Specify a column by an \Integer index: # # Get a column. # table[0] # # Set a column, then get it. # table[0] = ['FOO', 'BAR', 'BAZ'] # table[0] # => ["FOO", "BAR", "BAZ"] # # Specify a column by its \String header: # # Get a column. # table['Name'] # => ["FOO", "BAR", "BAZ"] # # Set a column, then get it. # table['Name'] = ['Foo', 'Bar', 'Baz'] # table['Name'] # => ["Foo", "Bar", "Baz"] # # === Mixed Mode # # In mixed mode, you can refer to either rows or columns: # - An \Integer index refers to a row. # - A \Range index refers to multiple rows. # - A \String index refers to a column. # # Set a table to mixed mode with method #by_col_or_row!: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.by_col_or_row! # => #<CSV::Table mode:col_or_row row_count:4> # # Specify a single row by an \Integer index: # # Get a row. # table[1] # => #<CSV::Row "Name":"bar" "Value":"1"> # # Set a row, then get it. # table[1] = CSV::Row.new(['Name', 'Value'], ['bam', 3]) # table[1] # => #<CSV::Row "Name":"bam" "Value":3> # # Specify a sequence of rows by a \Range: # # Get rows. # table[1..2] # => [#<CSV::Row "Name":"bam" "Value":3>, #<CSV::Row "Name":"baz" "Value":"2">] # # Set rows, then get them. # table[1] = CSV::Row.new(['Name', 'Value'], ['bat', 4]) # table[2] = CSV::Row.new(['Name', 'Value'], ['bad', 5]) # table[1..2] # => [["Name", #<CSV::Row "Name":"bat" "Value":4>], ["Value", #<CSV::Row "Name":"bad" "Value":5>]] # # Specify a column by its \String header: # # Get a column. # table['Name'] # => ["foo", "bat", "bad"] # # Set a column, then get it. # table['Name'] = ['Foo', 'Bar', 'Baz'] # table['Name'] # => ["Foo", "Bar", "Baz"] class Table # :call-seq: # CSV::Table.new(array_of_rows, headers = nil) -> csv_table # # Returns a new \CSV::Table object. # # - Argument +array_of_rows+ must be an \Array of CSV::Row objects. # - Argument +headers+, if given, may be an \Array of Strings. # # --- # # Create an empty \CSV::Table object: # table = CSV::Table.new([]) # table # => #<CSV::Table mode:col_or_row row_count:1> # # Create a non-empty \CSV::Table object: # rows = [ # CSV::Row.new([], []), # CSV::Row.new([], []), # CSV::Row.new([], []), # ] # table = CSV::Table.new(rows) # table # => #<CSV::Table mode:col_or_row row_count:4> # # --- # # If argument +headers+ is an \Array of Strings, # those Strings become the table's headers: # table = CSV::Table.new([], headers: ['Name', 'Age']) # table.headers # => ["Name", "Age"] # # If argument +headers+ is not given and the table has rows, # the headers are taken from the first row: # rows = [ # CSV::Row.new(['Foo', 'Bar'], []), # CSV::Row.new(['foo', 'bar'], []), # CSV::Row.new(['FOO', 'BAR'], []), # ] # table = CSV::Table.new(rows) # table.headers # => ["Foo", "Bar"] # # If argument +headers+ is not given and the table is empty (has no rows), # the headers are also empty: # table = CSV::Table.new([]) # table.headers # => [] # # --- # # Raises an exception if argument +array_of_rows+ is not an \Array object: # # Raises NoMethodError (undefined method `first' for :foo:Symbol): # CSV::Table.new(:foo) # # Raises an exception if an element of +array_of_rows+ is not a \CSV::Table object: # # Raises NoMethodError (undefined method `headers' for :foo:Symbol): # CSV::Table.new([:foo]) def initialize(array_of_rows, headers: nil) @table = array_of_rows @headers = headers unless @headers if @table.empty? @headers = [] else @headers = @table.first.headers end end @mode = :col_or_row end # The current access mode for indexing and iteration. attr_reader :mode # Internal data format used to compare equality. attr_reader :table protected :table ### Array Delegation ### extend Forwardable def_delegators :@table, :empty?, :length, :size # :call-seq: # table.by_col -> table_dup # # Returns a duplicate of +self+, in column mode # (see {Column Mode}[#class-CSV::Table-label-Column+Mode]): # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.mode # => :col_or_row # dup_table = table.by_col # dup_table.mode # => :col # dup_table.equal?(table) # => false # It's a dup # # This may be used to chain method calls without changing the mode # (but also will affect performance and memory usage): # dup_table.by_col['Name'] # # Also note that changes to the duplicate table will not affect the original. def by_col self.class.new(@table.dup).by_col! end # :call-seq: # table.by_col! -> self # # Sets the mode for +self+ to column mode # (see {Column Mode}[#class-CSV::Table-label-Column+Mode]); returns +self+: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.mode # => :col_or_row # table1 = table.by_col! # table.mode # => :col # table1.equal?(table) # => true # Returned self def by_col! @mode = :col self end # :call-seq: # table.by_col_or_row -> table_dup # # Returns a duplicate of +self+, in mixed mode # (see {Mixed Mode}[#class-CSV::Table-label-Mixed+Mode]): # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true).by_col! # table.mode # => :col # dup_table = table.by_col_or_row # dup_table.mode # => :col_or_row # dup_table.equal?(table) # => false # It's a dup # # This may be used to chain method calls without changing the mode # (but also will affect performance and memory usage): # dup_table.by_col_or_row['Name'] # # Also note that changes to the duplicate table will not affect the original. def by_col_or_row self.class.new(@table.dup).by_col_or_row! end # :call-seq: # table.by_col_or_row! -> self # # Sets the mode for +self+ to mixed mode # (see {Mixed Mode}[#class-CSV::Table-label-Mixed+Mode]); returns +self+: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true).by_col! # table.mode # => :col # table1 = table.by_col_or_row! # table.mode # => :col_or_row # table1.equal?(table) # => true # Returned self def by_col_or_row! @mode = :col_or_row self end # :call-seq: # table.by_row -> table_dup # # Returns a duplicate of +self+, in row mode # (see {Row Mode}[#class-CSV::Table-label-Row+Mode]): # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.mode # => :col_or_row # dup_table = table.by_row # dup_table.mode # => :row # dup_table.equal?(table) # => false # It's a dup # # This may be used to chain method calls without changing the mode # (but also will affect performance and memory usage): # dup_table.by_row[1] # # Also note that changes to the duplicate table will not affect the original. def by_row self.class.new(@table.dup).by_row! end # :call-seq: # table.by_row! -> self # # Sets the mode for +self+ to row mode # (see {Row Mode}[#class-CSV::Table-label-Row+Mode]); returns +self+: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.mode # => :col_or_row # table1 = table.by_row! # table.mode # => :row # table1.equal?(table) # => true # Returned self def by_row! @mode = :row self end # :call-seq: # table.headers -> array_of_headers # # Returns a new \Array containing the \String headers for the table. # # If the table is not empty, returns the headers from the first row: # rows = [ # CSV::Row.new(['Foo', 'Bar'], []), # CSV::Row.new(['FOO', 'BAR'], []), # CSV::Row.new(['foo', 'bar'], []), # ] # table = CSV::Table.new(rows) # table.headers # => ["Foo", "Bar"] # table.delete(0) # table.headers # => ["FOO", "BAR"] # table.delete(0) # table.headers # => ["foo", "bar"] # # If the table is empty, returns a copy of the headers in the table itself: # table.delete(0) # table.headers # => ["Foo", "Bar"] def headers if @table.empty? @headers.dup else @table.first.headers end end # :call-seq: # table[n] -> row or column_data # table[range] -> array_of_rows or array_of_column_data # table[header] -> array_of_column_data # # Returns data from the table; does not modify the table. # # --- # # Fetch a \Row by Its \Integer Index:: # - Form: <tt>table[n]</tt>, +n+ an integer. # - Access mode: <tt>:row</tt> or <tt>:col_or_row</tt>. # - Return value: _nth_ row of the table, if that row exists; # otherwise +nil+. # # Returns the _nth_ row of the table if that row exists: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.by_row! # => #<CSV::Table mode:row row_count:4> # table[1] # => #<CSV::Row "Name":"bar" "Value":"1"> # table.by_col_or_row! # => #<CSV::Table mode:col_or_row row_count:4> # table[1] # => #<CSV::Row "Name":"bar" "Value":"1"> # # Counts backward from the last row if +n+ is negative: # table[-1] # => #<CSV::Row "Name":"baz" "Value":"2"> # # Returns +nil+ if +n+ is too large or too small: # table[4] # => nil # table[-4] # => nil # # Raises an exception if the access mode is <tt>:row</tt> # and +n+ is not an \Integer: # table.by_row! # => #<CSV::Table mode:row row_count:4> # # Raises TypeError (no implicit conversion of String into Integer): # table['Name'] # # --- # # Fetch a Column by Its \Integer Index:: # - Form: <tt>table[n]</tt>, +n+ an \Integer. # - Access mode: <tt>:col</tt>. # - Return value: _nth_ column of the table, if that column exists; # otherwise an \Array of +nil+ fields of length <tt>self.size</tt>. # # Returns the _nth_ column of the table if that column exists: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.by_col! # => #<CSV::Table mode:col row_count:4> # table[1] # => ["0", "1", "2"] # # Counts backward from the last column if +n+ is negative: # table[-2] # => ["foo", "bar", "baz"] # # Returns an \Array of +nil+ fields if +n+ is too large or too small: # table[4] # => [nil, nil, nil] # table[-4] # => [nil, nil, nil] # # --- # # Fetch Rows by \Range:: # - Form: <tt>table[range]</tt>, +range+ a \Range object. # - Access mode: <tt>:row</tt> or <tt>:col_or_row</tt>. # - Return value: rows from the table, beginning at row <tt>range.start</tt>, # if those rows exists. # # Returns rows from the table, beginning at row <tt>range.first</tt>, # if those rows exist: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.by_row! # => #<CSV::Table mode:row row_count:4> # rows = table[1..2] # => #<CSV::Row "Name":"bar" "Value":"1"> # rows # => [#<CSV::Row "Name":"bar" "Value":"1">, #<CSV::Row "Name":"baz" "Value":"2">] # table.by_col_or_row! # => #<CSV::Table mode:col_or_row row_count:4> # rows = table[1..2] # => #<CSV::Row "Name":"bar" "Value":"1"> # rows # => [#<CSV::Row "Name":"bar" "Value":"1">, #<CSV::Row "Name":"baz" "Value":"2">] # # If there are too few rows, returns all from <tt>range.start</tt> to the end: # rows = table[1..50] # => #<CSV::Row "Name":"bar" "Value":"1"> # rows # => [#<CSV::Row "Name":"bar" "Value":"1">, #<CSV::Row "Name":"baz" "Value":"2">] # # Special case: if <tt>range.start == table.size</tt>, returns an empty \Array: # table[table.size..50] # => [] # # If <tt>range.end</tt> is negative, calculates the ending index from the end: # rows = table[0..-1] # rows # => [#<CSV::Row "Name":"foo" "Value":"0">, #<CSV::Row "Name":"bar" "Value":"1">, #<CSV::Row "Name":"baz" "Value":"2">] # # If <tt>range.start</tt> is negative, calculates the starting index from the end: # rows = table[-1..2] # rows # => [#<CSV::Row "Name":"baz" "Value":"2">] # # If <tt>range.start</tt> is larger than <tt>table.size</tt>, returns +nil+: # table[4..4] # => nil # # --- # # Fetch Columns by \Range:: # - Form: <tt>table[range]</tt>, +range+ a \Range object. # - Access mode: <tt>:col</tt>. # - Return value: column data from the table, beginning at column <tt>range.start</tt>, # if those columns exist. # # Returns column values from the table, if the column exists; # the values are arranged by row: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.by_col! # table[0..1] # => [["foo", "0"], ["bar", "1"], ["baz", "2"]] # # Special case: if <tt>range.start == headers.size</tt>, # returns an \Array (size: <tt>table.size</tt>) of empty \Arrays: # table[table.headers.size..50] # => [[], [], []] # # If <tt>range.end</tt> is negative, calculates the ending index from the end: # table[0..-1] # => [["foo", "0"], ["bar", "1"], ["baz", "2"]] # # If <tt>range.start</tt> is negative, calculates the starting index from the end: # table[-2..2] # => [["foo", "0"], ["bar", "1"], ["baz", "2"]] # # If <tt>range.start</tt> is larger than <tt>table.size</tt>, # returns an \Array of +nil+ values: # table[4..4] # => [nil, nil, nil] # # --- # # Fetch a Column by Its \String Header:: # - Form: <tt>table[header]</tt>, +header+ a \String header. # - Access mode: <tt>:col</tt> or <tt>:col_or_row</tt> # - Return value: column data from the table, if that +header+ exists. # # Returns column values from the table, if the column exists: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.by_col! # => #<CSV::Table mode:col row_count:4> # table['Name'] # => ["foo", "bar", "baz"] # table.by_col_or_row! # => #<CSV::Table mode:col_or_row row_count:4> # col = table['Name'] # col # => ["foo", "bar", "baz"] # # Modifying the returned column values does not modify the table: # col[0] = 'bat' # col # => ["bat", "bar", "baz"] # table['Name'] # => ["foo", "bar", "baz"] # # Returns an \Array of +nil+ values if there is no such column: # table['Nosuch'] # => [nil, nil, nil] def [](index_or_header) if @mode == :row or # by index (@mode == :col_or_row and (index_or_header.is_a?(Integer) or index_or_header.is_a?(Range))) @table[index_or_header] else # by header @table.map { |row| row[index_or_header] } end end # :call-seq: # table[n] = row -> row # table[n] = field_or_array_of_fields -> field_or_array_of_fields # table[header] = field_or_array_of_fields -> field_or_array_of_fields # # Puts data onto the table. # # --- # # Set a \Row by Its \Integer Index:: # - Form: <tt>table[n] = row</tt>, +n+ an \Integer, # +row+ a \CSV::Row instance or an \Array of fields. # - Access mode: <tt>:row</tt> or <tt>:col_or_row</tt>. # - Return value: +row+. # # If the row exists, it is replaced: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # new_row = CSV::Row.new(['Name', 'Value'], ['bat', 3]) # table.by_row! # => #<CSV::Table mode:row row_count:4> # return_value = table[0] = new_row # return_value.equal?(new_row) # => true # Returned the row # table[0].to_h # => {"Name"=>"bat", "Value"=>3} # # With access mode <tt>:col_or_row</tt>: # table.by_col_or_row! # => #<CSV::Table mode:col_or_row row_count:4> # table[0] = CSV::Row.new(['Name', 'Value'], ['bam', 4]) # table[0].to_h # => {"Name"=>"bam", "Value"=>4} # # With an \Array instead of a \CSV::Row, inherits headers from the table: # array = ['bad', 5] # return_value = table[0] = array # return_value.equal?(array) # => true # Returned the array # table[0].to_h # => {"Name"=>"bad", "Value"=>5} # # If the row does not exist, extends the table by adding rows: # assigns rows with +nil+ as needed: # table.size # => 3 # table[5] = ['bag', 6] # table.size # => 6 # table[3] # => nil # table[4]# => nil # table[5].to_h # => {"Name"=>"bag", "Value"=>6} # # Note that the +nil+ rows are actually +nil+, not a row of +nil+ fields. # # --- # # Set a Column by Its \Integer Index:: # - Form: <tt>table[n] = array_of_fields</tt>, +n+ an \Integer, # +array_of_fields+ an \Array of \String fields. # - Access mode: <tt>:col</tt>. # - Return value: +array_of_fields+. # # If the column exists, it is replaced: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # new_col = [3, 4, 5] # table.by_col! # => #<CSV::Table mode:col row_count:4> # return_value = table[1] = new_col # return_value.equal?(new_col) # => true # Returned the column # table[1] # => [3, 4, 5] # # The rows, as revised: # table.by_row! # => #<CSV::Table mode:row row_count:4> # table[0].to_h # => {"Name"=>"foo", "Value"=>3} # table[1].to_h # => {"Name"=>"bar", "Value"=>4} # table[2].to_h # => {"Name"=>"baz", "Value"=>5} # table.by_col! # => #<CSV::Table mode:col row_count:4> # # If there are too few values, fills with +nil+ values: # table[1] = [0] # table[1] # => [0, nil, nil] # # If there are too many values, ignores the extra values: # table[1] = [0, 1, 2, 3, 4] # table[1] # => [0, 1, 2] # # If a single value is given, replaces all fields in the column with that value: # table[1] = 'bat' # table[1] # => ["bat", "bat", "bat"] # # --- # # Set a Column by Its \String Header:: # - Form: <tt>table[header] = field_or_array_of_fields</tt>, # +header+ a \String header, +field_or_array_of_fields+ a field value # or an \Array of \String fields. # - Access mode: <tt>:col</tt> or <tt>:col_or_row</tt>. # - Return value: +field_or_array_of_fields+. # # If the column exists, it is replaced: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # new_col = [3, 4, 5] # table.by_col! # => #<CSV::Table mode:col row_count:4> # return_value = table['Value'] = new_col # return_value.equal?(new_col) # => true # Returned the column # table['Value'] # => [3, 4, 5] # # The rows, as revised: # table.by_row! # => #<CSV::Table mode:row row_count:4> # table[0].to_h # => {"Name"=>"foo", "Value"=>3} # table[1].to_h # => {"Name"=>"bar", "Value"=>4} # table[2].to_h # => {"Name"=>"baz", "Value"=>5} # table.by_col! # => #<CSV::Table mode:col row_count:4> # # If there are too few values, fills with +nil+ values: # table['Value'] = [0] # table['Value'] # => [0, nil, nil] # # If there are too many values, ignores the extra values: # table['Value'] = [0, 1, 2, 3, 4] # table['Value'] # => [0, 1, 2] # # If the column does not exist, extends the table by adding columns: # table['Note'] = ['x', 'y', 'z'] # table['Note'] # => ["x", "y", "z"] # # The rows, as revised: # table.by_row! # table[0].to_h # => {"Name"=>"foo", "Value"=>0, "Note"=>"x"} # table[1].to_h # => {"Name"=>"bar", "Value"=>1, "Note"=>"y"} # table[2].to_h # => {"Name"=>"baz", "Value"=>2, "Note"=>"z"} # table.by_col! # # If a single value is given, replaces all fields in the column with that value: # table['Value'] = 'bat' # table['Value'] # => ["bat", "bat", "bat"] def []=(index_or_header, value) if @mode == :row or # by index (@mode == :col_or_row and index_or_header.is_a? Integer) if value.is_a? Array @table[index_or_header] = Row.new(headers, value) else @table[index_or_header] = value end else # set column unless index_or_header.is_a? Integer index = @headers.index(index_or_header) || @headers.size @headers[index] = index_or_header end if value.is_a? Array # multiple values @table.each_with_index do |row, i| if row.header_row? row[index_or_header] = index_or_header else row[index_or_header] = value[i] end end else # repeated value @table.each do |row| if row.header_row? row[index_or_header] = index_or_header else row[index_or_header] = value end end end end end # :call-seq: # table.values_at(*indexes) -> array_of_rows # table.values_at(*headers) -> array_of_columns_data # # If the access mode is <tt>:row</tt> or <tt>:col_or_row</tt>, # and each argument is either an \Integer or a \Range, # returns rows. # Otherwise, returns columns data. # # In either case, the returned values are in the order # specified by the arguments. Arguments may be repeated. # # --- # # Returns rows as an \Array of \CSV::Row objects. # # No argument: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.values_at # => [] # # One index: # values = table.values_at(0) # values # => [#<CSV::Row "Name":"foo" "Value":"0">] # # Two indexes: # values = table.values_at(2, 0) # values # => [#<CSV::Row "Name":"baz" "Value":"2">, #<CSV::Row "Name":"foo" "Value":"0">] # # One \Range: # values = table.values_at(1..2) # values # => [#<CSV::Row "Name":"bar" "Value":"1">, #<CSV::Row "Name":"baz" "Value":"2">] # # \Ranges and indexes: # values = table.values_at(0..1, 1..2, 0, 2) # pp values # Output: # [#<CSV::Row "Name":"foo" "Value":"0">, # #<CSV::Row "Name":"bar" "Value":"1">, # #<CSV::Row "Name":"bar" "Value":"1">, # #<CSV::Row "Name":"baz" "Value":"2">, # #<CSV::Row "Name":"foo" "Value":"0">, # #<CSV::Row "Name":"baz" "Value":"2">] # # --- # # Returns columns data as row Arrays, # each consisting of the specified columns data for that row: # values = table.values_at('Name') # values # => [["foo"], ["bar"], ["baz"]] # values = table.values_at('Value', 'Name') # values # => [["0", "foo"], ["1", "bar"], ["2", "baz"]] def values_at(*indices_or_headers) if @mode == :row or # by indices ( @mode == :col_or_row and indices_or_headers.all? do |index| index.is_a?(Integer) or ( index.is_a?(Range) and index.first.is_a?(Integer) and index.last.is_a?(Integer) ) end ) @table.values_at(*indices_or_headers) else # by headers @table.map { |row| row.values_at(*indices_or_headers) } end end # :call-seq: # table << row_or_array -> self # # If +row_or_array+ is a \CSV::Row object, # it is appended to the table: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table << CSV::Row.new(table.headers, ['bat', 3]) # table[3] # => #<CSV::Row "Name":"bat" "Value":3> # # If +row_or_array+ is an \Array, it is used to create a new # \CSV::Row object which is then appended to the table: # table << ['bam', 4] # table[4] # => #<CSV::Row "Name":"bam" "Value":4> def <<(row_or_array) if row_or_array.is_a? Array # append Array @table << Row.new(headers, row_or_array) else # append Row @table << row_or_array end self # for chaining end # # :call-seq: # table.push(*rows_or_arrays) -> self # # A shortcut for appending multiple rows. Equivalent to: # rows.each {|row| self << row } # # Each argument may be either a \CSV::Row object or an \Array: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # rows = [ # CSV::Row.new(table.headers, ['bat', 3]), # ['bam', 4] # ] # table.push(*rows) # table[3..4] # => [#<CSV::Row "Name":"bat" "Value":3>, #<CSV::Row "Name":"bam" "Value":4>] def push(*rows) rows.each { |row| self << row } self # for chaining end # :call-seq: # table.delete(*indexes) -> deleted_values # table.delete(*headers) -> deleted_values # # If the access mode is <tt>:row</tt> or <tt>:col_or_row</tt>, # and each argument is either an \Integer or a \Range, # returns deleted rows. # Otherwise, returns deleted columns data. # # In either case, the returned values are in the order # specified by the arguments. Arguments may be repeated. # # --- # # Returns rows as an \Array of \CSV::Row objects. # # One index: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # deleted_values = table.delete(0) # deleted_values # => [#<CSV::Row "Name":"foo" "Value":"0">] # # Two indexes: # table = CSV.parse(source, headers: true) # deleted_values = table.delete(2, 0) # deleted_values # => [#<CSV::Row "Name":"baz" "Value":"2">, #<CSV::Row "Name":"foo" "Value":"0">] # # --- # # Returns columns data as column Arrays. # # One header: # table = CSV.parse(source, headers: true) # deleted_values = table.delete('Name') # deleted_values # => ["foo", "bar", "baz"] # # Two headers: # table = CSV.parse(source, headers: true) # deleted_values = table.delete('Value', 'Name') # deleted_values # => [["0", "1", "2"], ["foo", "bar", "baz"]] def delete(*indexes_or_headers) if indexes_or_headers.empty? raise ArgumentError, "wrong number of arguments (given 0, expected 1+)" end deleted_values = indexes_or_headers.map do |index_or_header| if @mode == :row or # by index (@mode == :col_or_row and index_or_header.is_a? Integer) @table.delete_at(index_or_header) else # by header if index_or_header.is_a? Integer @headers.delete_at(index_or_header) else @headers.delete(index_or_header) end @table.map { |row| row.delete(index_or_header).last } end end if indexes_or_headers.size == 1 deleted_values[0] else deleted_values end end # :call-seq: # table.delete_if {|row_or_column| ... } -> self # # Removes rows or columns for which the block returns a truthy value; # returns +self+. # # Removes rows when the access mode is <tt>:row</tt> or <tt>:col_or_row</tt>; # calls the block with each \CSV::Row object: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.by_row! # => #<CSV::Table mode:row row_count:4> # table.size # => 3 # table.delete_if {|row| row['Name'].start_with?('b') } # table.size # => 1 # # Removes columns when the access mode is <tt>:col</tt>; # calls the block with each column as a 2-element array # containing the header and an \Array of column fields: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.by_col! # => #<CSV::Table mode:col row_count:4> # table.headers.size # => 2 # table.delete_if {|column_data| column_data[1].include?('2') } # table.headers.size # => 1 # # Returns a new \Enumerator if no block is given: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.delete_if # => #<Enumerator: #<CSV::Table mode:col_or_row row_count:4>:delete_if> def delete_if(&block) return enum_for(__method__) { @mode == :row or @mode == :col_or_row ? size : headers.size } unless block_given? if @mode == :row or @mode == :col_or_row # by index @table.delete_if(&block) else # by header deleted = [] headers.each do |header| deleted << delete(header) if yield([header, self[header]]) end end self # for chaining end include Enumerable # :call-seq: # table.each {|row_or_column| ... ) -> self # # Calls the block with each row or column; returns +self+. # # When the access mode is <tt>:row</tt> or <tt>:col_or_row</tt>, # calls the block with each \CSV::Row object: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.by_row! # => #<CSV::Table mode:row row_count:4> # table.each {|row| p row } # Output: # #<CSV::Row "Name":"foo" "Value":"0"> # #<CSV::Row "Name":"bar" "Value":"1"> # #<CSV::Row "Name":"baz" "Value":"2"> # # When the access mode is <tt>:col</tt>, # calls the block with each column as a 2-element array # containing the header and an \Array of column fields: # table.by_col! # => #<CSV::Table mode:col row_count:4> # table.each {|column_data| p column_data } # Output: # ["Name", ["foo", "bar", "baz"]] # ["Value", ["0", "1", "2"]] # # Returns a new \Enumerator if no block is given: # table.each # => #<Enumerator: #<CSV::Table mode:col row_count:4>:each> def each(&block) return enum_for(__method__) { @mode == :col ? headers.size : size } unless block_given? if @mode == :col headers.each.with_index do |header, i| yield([header, @table.map {|row| row[header, i]}]) end else @table.each(&block) end self # for chaining end # :call-seq: # table == other_table -> true or false # # Returns +true+ if all each row of +self+ <tt>==</tt> # the corresponding row of +other_table+, otherwise, +false+. # # The access mode does no affect the result. # # Equal tables: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # other_table = CSV.parse(source, headers: true) # table == other_table # => true # # Different row count: # other_table.delete(2) # table == other_table # => false # # Different last row: # other_table << ['bat', 3] # table == other_table # => false def ==(other) return @table == other.table if other.is_a? CSV::Table @table == other end # :call-seq: # table.to_a -> array_of_arrays # # Returns the table as an \Array of \Arrays; # the headers are in the first row: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.to_a # => [["Name", "Value"], ["foo", "0"], ["bar", "1"], ["baz", "2"]] def to_a array = [headers] @table.each do |row| array.push(row.fields) unless row.header_row? end array end # :call-seq: # table.to_csv(**options) -> csv_string # # Returns the table as \CSV string. # See {Options for Generating}[../CSV.html#class-CSV-label-Options+for+Generating]. # # Defaults option +write_headers+ to +true+: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.to_csv # => "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # # Omits the headers if option +write_headers+ is given as +false+ # (see {Option +write_headers+}[../CSV.html#class-CSV-label-Option+write_headers]): # table.to_csv(write_headers: false) # => "foo,0\nbar,1\nbaz,2\n" # # Limit rows if option +limit+ is given like +2+: # table.to_csv(limit: 2) # => "Name,Value\nfoo,0\nbar,1\n" def to_csv(write_headers: true, limit: nil, **options) array = write_headers ? [headers.to_csv(**options)] : [] limit ||= @table.size limit = @table.size + 1 + limit if limit < 0 limit = 0 if limit < 0 @table.first(limit).each do |row| array.push(row.fields.to_csv(**options)) unless row.header_row? end array.join("") end alias_method :to_s, :to_csv # # Extracts the nested value specified by the sequence of +index+ or +header+ objects by calling dig at each step, # returning nil if any intermediate step is nil. # def dig(index_or_header, *index_or_headers) value = self[index_or_header] if value.nil? nil elsif index_or_headers.empty? value else unless value.respond_to?(:dig) raise TypeError, "#{value.class} does not have \#dig method" end value.dig(*index_or_headers) end end # :call-seq: # table.inspect => string # # Returns a <tt>US-ASCII</tt>-encoded \String showing table: # - Class: <tt>CSV::Table</tt>. # - Access mode: <tt>:row</tt>, <tt>:col</tt>, or <tt>:col_or_row</tt>. # - Size: Row count, including the header row. # # Example: # source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n" # table = CSV.parse(source, headers: true) # table.inspect # => "#<CSV::Table mode:col_or_row row_count:4>\nName,Value\nfoo,0\nbar,1\nbaz,2\n" # def inspect inspected = +"#<#{self.class} mode:#{@mode} row_count:#{to_a.size}>" summary = to_csv(limit: 5) inspected << "\n" << summary if summary.encoding.ascii_compatible? inspected end end end