Class: CSV::Table
Relationships & Source Files | |
Super Chains via Extension / Inclusion / Inheritance | |
Class Chain:
self,
Forwardable
|
|
Instance Chain:
self,
Enumerable
|
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Inherits: | Object |
Defined in: | lib/csv/table.rb |
Overview
A Table
is a two-dimensional data structure for representing ::CSV
documents. Tables allow you to work with the data by row or column, manipulate the data, and even convert the results back to ::CSV
, if needed.
All tables returned by ::CSV
will be constructed from this class, if header row processing is activated.
Class Method Summary
-
.new(array_of_rows, headers: nil) ⇒ Table
constructor
Constructs a new
Table
fromarray_of_rows
, which are expected to beRow
objects.
Instance Attribute Summary
Instance Method Summary
-
#<<(row_or_array) ⇒ self
If
row_or_array
is a CSV::Row object, it is appended to the table: -
#==(other)
Returns
true
if all each row ofself
==
the corresponding row ofother_table
, otherwise,false
. -
#[](n) ⇒ row
Returns data from the table; does not modify the table.
-
#[]=(index_or_header, value)
In the default mixed mode, this method assigns rows for index access and columns for header access.
-
#by_col
Returns a duplicate table object, in column mode.
-
#by_col!
Switches the mode of this table to column mode.
-
#by_col_or_row
Returns a duplicate table object, in mixed mode.
-
#by_col_or_row!
Switches the mode of this table to mixed mode.
-
#by_row
Returns a duplicate table object, in row mode.
-
#by_row!
Switches the mode of this table to row mode.
-
#delete(*indexes) ⇒ deleted_values
If the access mode is
:row
or:col_or_row
, and each argument is either an Integer or a Range, returns deleted rows. -
#delete_if(&block)
Removes rows or columns for which the block returns a truthy value; returns
self
. -
#dig(index_or_header, *index_or_headers)
Extracts the nested value specified by the sequence of
index
orheader
objects by calling dig at each step, returning nil if any intermediate step is nil. -
#each(&block)
Calls the block with each row or column; returns
self
. -
#headers
Returns the headers for the first row of this table (assumed to match all other rows).
-
#inspect
Shows the mode and size of this table in a US-ASCII
::String
. -
#push(*rows_or_arrays) ⇒ self
A shortcut for appending multiple rows.
-
#to_a
Returns the table as an
::Array
of Arrays. -
#to_csv(write_headers: true, **options)
(also: #to_s)
Returns the table as a complete
::CSV
String. -
#to_s(write_headers: true, **options)
Alias for #to_csv.
-
#values_at(*indexes) ⇒ array_of_rows
If the access mode is
:row
or:col_or_row
, and each argument is either an Integer or a Range, returns rows.
Constructor Details
.new(array_of_rows, headers: nil) ⇒ Table
Constructs a new Table
from array_of_rows
, which are expected to be Row
objects. All rows are assumed to have the same headers.
The optional #headers parameter can be set to ::Array
of headers. If headers aren’t set, headers are fetched from Row
objects. Otherwise, headers() method will return headers being set in headers argument.
A Table
object supports the following ::Array
methods through delegation:
-
empty?()
-
length()
-
size()
Instance Attribute Details
#mode (readonly)
The current access mode for indexing and iteration.
# File 'lib/csv/table.rb', line 46
attr_reader :mode
#table (readonly, protected)
Internal data format used to compare equality.
# File 'lib/csv/table.rb', line 49
attr_reader :table
Instance Method Details
#<<(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>
#==(other)
Returns true
if all each row of self
==
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
#[](n) ⇒ row
#[](range) ⇒ array_of_rows
#[](header) ⇒ array_of_fields
row
#[](range) ⇒ array_of_rows
#[](header) ⇒ array_of_fields
Returns data from the table; does not modify the table.
The expression table[n]
, where n
is a non-negative Integer, returns the nth row of the table, if that row exists, and if the access mode is :row
or :col_or_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>
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 :row
and n
is not an Integer-convertible object.
table.by_row! # => #<CSV::Table mode:row row_count:4>
# Raises TypeError (no implicit conversion of String into Integer):
table['Name']
The expression table[range]
, where range
is a Range object, returns rows from the table, beginning at row range.first
, if those rows exist, and if the access mode is :row
or :col_or_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>
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 range.first
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 range.start == table.size
, returns an empty Array:
table[table.size..50] # => []
If range.end
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 range.start
is negative, calculates the starting index from the end:
rows = table[-1..2]
rows # => [#<CSV::Row "Name":"baz" "Value":"2">]
If range.start
is larger than table.size
, returns nil
:
table[4..4] # => nil
The expression table[header]
, where header
is a String, returns column values (Array of Strings) if the column exists and if the access mode is :col
or :col_or_row
:
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]
# File 'lib/csv/table.rb', line 232
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
#[]=(index_or_header, value)
In the default mixed mode, this method assigns rows for index access and columns for header access. You can force the index association by first calling by_col!() or by_row!().
Rows may be set to an ::Array
of values (which will inherit the table’s headers()) or a Row
.
Columns may be set to a single value, which is copied to each row of the column, or an ::Array
of values. Arrays of values are assigned to rows top to bottom in row major order. Excess values are ignored and if the ::Array
does not have a value for each row the extra rows will receive a nil
.
Assigning to an existing column or row clobbers the data. Assigning to new columns creates them at the right end of the table.
# File 'lib/csv/table.rb', line 257
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
#by_col
Returns a duplicate table object, in column mode. This is handy for chaining in a single call without changing the table mode, but be aware that this method can consume a fair amount of memory for bigger data sets.
This method returns the duplicate table for chaining. Don’t chain destructive methods (like []=()) this way though, since you are working with a duplicate.
#by_col!
Switches the mode of this table to column mode. All calls to indexing and iteration methods will work with columns until the mode is changed again.
This method returns the table and is safe to chain.
# File 'lib/csv/table.rb', line 76
def by_col! @mode = :col self end
#by_col_or_row
Returns a duplicate table object, in mixed mode. This is handy for chaining in a single call without changing the table mode, but be aware that this method can consume a fair amount of memory for bigger data sets.
This method returns the duplicate table for chaining. Don’t chain destructive methods (like []=()) this way though, since you are working with a duplicate.
# File 'lib/csv/table.rb', line 91
def by_col_or_row self.class.new(@table.dup).by_col_or_row! end
#by_col_or_row!
Switches the mode of this table to mixed mode. All calls to indexing and iteration methods will use the default intelligent indexing system until the mode is changed again. In mixed mode an index is assumed to be a row reference while anything else is assumed to be column access by headers.
This method returns the table and is safe to chain.
# File 'lib/csv/table.rb', line 103
def by_col_or_row! @mode = :col_or_row self end
#by_row
Returns a duplicate table object, in row mode. This is handy for chaining in a single call without changing the table mode, but be aware that this method can consume a fair amount of memory for bigger data sets.
This method returns the duplicate table for chaining. Don’t chain destructive methods (like []=()) this way though, since you are working with a duplicate.
#by_row!
Switches the mode of this table to row mode. All calls to indexing and iteration methods will work with rows until the mode is changed again.
This method returns the table and is safe to chain.
# File 'lib/csv/table.rb', line 128
def by_row! @mode = :row self end
#delete(*indexes) ⇒ deleted_values
#delete(*headers) ⇒ deleted_values
deleted_values
#delete(*headers) ⇒ deleted_values
If the access mode is :row
or :col_or_row
, 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"]]
# File 'lib/csv/table.rb', line 442
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
#delete_if(&block)
Removes rows or columns for which the block returns a truthy value; returns self
.
Removes rows when the access mode is :row
or :col_or_row
; 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 :col
; 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>
# File 'lib/csv/table.rb', line 492
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
#dig(index_or_header, *index_or_headers)
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.
# File 'lib/csv/table.rb', line 602
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
#each(&block)
Calls the block with each row or column; returns self
.
When the access mode is :row
or :col_or_row
, 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 :col
, 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>
#headers
# File 'lib/csv/table.rb', line 139
def headers if @table.empty? @headers.dup else @table.first.headers end end
#inspect
Shows the mode and size of this table in a US-ASCII ::String
.
# File 'lib/csv/table.rb', line 617
def inspect "#<#{self.class} mode:#{@mode} row_count:#{to_a.size}>".encode("US-ASCII") end
#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>]
# File 'lib/csv/table.rb', line 396
def push(*rows) rows.each { |row| self << row } self # for chaining end
#to_a
Returns the table as an ::Array
of Arrays. Headers will be the first row, then all of the field rows will follow.
# File 'lib/csv/table.rb', line 572
def to_a array = [headers] @table.each do |row| array.push(row.fields) unless row.header_row? end array end
#to_csv(write_headers: true, **options) Also known as: #to_s
# File 'lib/csv/table.rb', line 588
def to_csv(write_headers: true, ** ) array = write_headers ? [headers.to_csv(** )] : [] @table.each do |row| array.push(row.fields.to_csv(** )) unless row.header_row? end array.join("") end
#to_s(write_headers: true, **options)
Alias for #to_csv.
# File 'lib/csv/table.rb', line 596
alias_method :to_s, :to_csv
#values_at(*indexes) ⇒ array_of_rows
#values_at(*headers) ⇒ array_of_columns_data
array_of_rows
#values_at(*headers) ⇒ array_of_columns_data
If the access mode is :row
or :col_or_row
, 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"]]
# File 'lib/csv/table.rb', line 342
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