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PK ! K'tW tW recipes/parsing.rdocnu [ == Recipes for Parsing \CSV
These recipes are specific code examples for specific \CSV parsing tasks.
For other recipes, see {Recipes for CSV}[./recipes_rdoc.html].
All code snippets on this page assume that the following has been executed:
require 'csv'
=== Contents
- {Source Formats}[#label-Source+Formats]
- {Parsing from a String}[#label-Parsing+from+a+String]
- {Recipe: Parse from String with Headers}[#label-Recipe-3A+Parse+from+String+with+Headers]
- {Recipe: Parse from String Without Headers}[#label-Recipe-3A+Parse+from+String+Without+Headers]
- {Parsing from a File}[#label-Parsing+from+a+File]
- {Recipe: Parse from File with Headers}[#label-Recipe-3A+Parse+from+File+with+Headers]
- {Recipe: Parse from File Without Headers}[#label-Recipe-3A+Parse+from+File+Without+Headers]
- {Parsing from an IO Stream}[#label-Parsing+from+an+IO+Stream]
- {Recipe: Parse from IO Stream with Headers}[#label-Recipe-3A+Parse+from+IO+Stream+with+Headers]
- {Recipe: Parse from IO Stream Without Headers}[#label-Recipe-3A+Parse+from+IO+Stream+Without+Headers]
- {RFC 4180 Compliance}[#label-RFC+4180+Compliance]
- {Row Separator}[#label-Row+Separator]
- {Recipe: Handle Compliant Row Separator}[#label-Recipe-3A+Handle+Compliant+Row+Separator]
- {Recipe: Handle Non-Compliant Row Separator}[#label-Recipe-3A+Handle+Non-Compliant+Row+Separator]
- {Column Separator}[#label-Column+Separator]
- {Recipe: Handle Compliant Column Separator}[#label-Recipe-3A+Handle+Compliant+Column+Separator]
- {Recipe: Handle Non-Compliant Column Separator}[#label-Recipe-3A+Handle+Non-Compliant+Column+Separator]
- {Quote Character}[#label-Quote+Character]
- {Recipe: Handle Compliant Quote Character}[#label-Recipe-3A+Handle+Compliant+Quote+Character]
- {Recipe: Handle Non-Compliant Quote Character}[#label-Recipe-3A+Handle+Non-Compliant+Quote+Character]
- {Recipe: Allow Liberal Parsing}[#label-Recipe-3A+Allow+Liberal+Parsing]
- {Special Handling}[#label-Special+Handling]
- {Special Line Handling}[#label-Special+Line+Handling]
- {Recipe: Ignore Blank Lines}[#label-Recipe-3A+Ignore+Blank+Lines]
- {Recipe: Ignore Selected Lines}[#label-Recipe-3A+Ignore+Selected+Lines]
- {Special Field Handling}[#label-Special+Field+Handling]
- {Recipe: Strip Fields}[#label-Recipe-3A+Strip+Fields]
- {Recipe: Handle Null Fields}[#label-Recipe-3A+Handle+Null+Fields]
- {Recipe: Handle Empty Fields}[#label-Recipe-3A+Handle+Empty+Fields]
- {Converting Fields}[#label-Converting+Fields]
- {Converting Fields to Objects}[#label-Converting+Fields+to+Objects]
- {Recipe: Convert Fields to Integers}[#label-Recipe-3A+Convert+Fields+to+Integers]
- {Recipe: Convert Fields to Floats}[#label-Recipe-3A+Convert+Fields+to+Floats]
- {Recipe: Convert Fields to Numerics}[#label-Recipe-3A+Convert+Fields+to+Numerics]
- {Recipe: Convert Fields to Dates}[#label-Recipe-3A+Convert+Fields+to+Dates]
- {Recipe: Convert Fields to DateTimes}[#label-Recipe-3A+Convert+Fields+to+DateTimes]
- {Recipe: Convert Fields to Times}[#label-Recipe-3A+Convert+Fields+to+Times]
- {Recipe: Convert Assorted Fields to Objects}[#label-Recipe-3A+Convert+Assorted+Fields+to+Objects]
- {Recipe: Convert Fields to Other Objects}[#label-Recipe-3A+Convert+Fields+to+Other+Objects]
- {Recipe: Filter Field Strings}[#label-Recipe-3A+Filter+Field+Strings]
- {Recipe: Register Field Converters}[#label-Recipe-3A+Register+Field+Converters]
- {Using Multiple Field Converters}[#label-Using+Multiple+Field+Converters]
- {Recipe: Specify Multiple Field Converters in Option :converters}[#label-Recipe-3A+Specify+Multiple+Field+Converters+in+Option+-3Aconverters]
- {Recipe: Specify Multiple Field Converters in a Custom Converter List}[#label-Recipe-3A+Specify+Multiple+Field+Converters+in+a+Custom+Converter+List]
- {Converting Headers}[#label-Converting+Headers]
- {Recipe: Convert Headers to Lowercase}[#label-Recipe-3A+Convert+Headers+to+Lowercase]
- {Recipe: Convert Headers to Symbols}[#label-Recipe-3A+Convert+Headers+to+Symbols]
- {Recipe: Filter Header Strings}[#label-Recipe-3A+Filter+Header+Strings]
- {Recipe: Register Header Converters}[#label-Recipe-3A+Register+Header+Converters]
- {Using Multiple Header Converters}[#label-Using+Multiple+Header+Converters]
- {Recipe: Specify Multiple Header Converters in Option :header_converters}[#label-Recipe-3A+Specify+Multiple+Header+Converters+in+Option+-3Aheader_converters]
- {Recipe: Specify Multiple Header Converters in a Custom Header Converter List}[#label-Recipe-3A+Specify+Multiple+Header+Converters+in+a+Custom+Header+Converter+List]
- {Diagnostics}[#label-Diagnostics]
- {Recipe: Capture Unconverted Fields}[#label-Recipe-3A+Capture+Unconverted+Fields]
- {Recipe: Capture Field Info}[#label-Recipe-3A+Capture+Field+Info]
=== Source Formats
You can parse \CSV data from a \String, from a \File (via its path), or from an \IO stream.
==== Parsing from a \String
You can parse \CSV data from a \String, with or without headers.
===== Recipe: Parse from \String with Headers
Use class method CSV.parse with option +headers+ to read a source \String all at once
(may have memory resource implications):
string = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
CSV.parse(string, headers: true) # => #
Use instance method CSV#each with option +headers+ to read a source \String one row at a time:
CSV.new(string, headers: true).each do |row|
p row
end
Output:
#
#
#
===== Recipe: Parse from \String Without Headers
Use class method CSV.parse without option +headers+ to read a source \String all at once
(may have memory resource implications):
string = "foo,0\nbar,1\nbaz,2\n"
CSV.parse(string) # => [["foo", "0"], ["bar", "1"], ["baz", "2"]]
Use instance method CSV#each without option +headers+ to read a source \String one row at a time:
CSV.new(string).each do |row|
p row
end
Output:
["foo", "0"]
["bar", "1"]
["baz", "2"]
==== Parsing from a \File
You can parse \CSV data from a \File, with or without headers.
===== Recipe: Parse from \File with Headers
Use class method CSV.read with option +headers+ to read a file all at once:
string = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
path = 't.csv'
File.write(path, string)
CSV.read(path, headers: true) # => #
Use class method CSV.foreach with option +headers+ to read one row at a time:
CSV.foreach(path, headers: true) do |row|
p row
end
Output:
#
#
#
===== Recipe: Parse from \File Without Headers
Use class method CSV.read without option +headers+ to read a file all at once:
string = "foo,0\nbar,1\nbaz,2\n"
path = 't.csv'
File.write(path, string)
CSV.read(path) # => [["foo", "0"], ["bar", "1"], ["baz", "2"]]
Use class method CSV.foreach without option +headers+ to read one row at a time:
CSV.foreach(path) do |row|
p row
end
Output:
["foo", "0"]
["bar", "1"]
["baz", "2"]
==== Parsing from an \IO Stream
You can parse \CSV data from an \IO stream, with or without headers.
===== Recipe: Parse from \IO Stream with Headers
Use class method CSV.parse with option +headers+ to read an \IO stream all at once:
string = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
path = 't.csv'
File.write(path, string)
File.open(path) do |file|
CSV.parse(file, headers: true)
end # => #
Use class method CSV.foreach with option +headers+ to read one row at a time:
File.open(path) do |file|
CSV.foreach(file, headers: true) do |row|
p row
end
end
Output:
#
#
#
===== Recipe: Parse from \IO Stream Without Headers
Use class method CSV.parse without option +headers+ to read an \IO stream all at once:
string = "foo,0\nbar,1\nbaz,2\n"
path = 't.csv'
File.write(path, string)
File.open(path) do |file|
CSV.parse(file)
end # => [["foo", "0"], ["bar", "1"], ["baz", "2"]]
Use class method CSV.foreach without option +headers+ to read one row at a time:
File.open(path) do |file|
CSV.foreach(file) do |row|
p row
end
end
Output:
["foo", "0"]
["bar", "1"]
["baz", "2"]
=== RFC 4180 Compliance
By default, \CSV parses data that is compliant with
{RFC 4180}[https://www.rfc-editor.org/rfc/rfc4180]
with respect to:
- Row separator.
- Column separator.
- Quote character.
==== Row Separator
RFC 4180 specifies the row separator CRLF (Ruby "\r\n").
Although the \CSV default row separator is "\n",
the parser also by default handles row separator "\r" and the RFC-compliant "\r\n".
===== Recipe: Handle Compliant Row Separator
For strict compliance, use option +:row_sep+ to specify row separator "\r\n",
which allows the compliant row separator:
source = "foo,1\r\nbar,1\r\nbaz,2\r\n"
CSV.parse(source, row_sep: "\r\n") # => [["foo", "1"], ["bar", "1"], ["baz", "2"]]
But rejects other row separators:
source = "foo,1\nbar,1\nbaz,2\n"
CSV.parse(source, row_sep: "\r\n") # Raised MalformedCSVError
source = "foo,1\rbar,1\rbaz,2\r"
CSV.parse(source, row_sep: "\r\n") # Raised MalformedCSVError
source = "foo,1\n\rbar,1\n\rbaz,2\n\r"
CSV.parse(source, row_sep: "\r\n") # Raised MalformedCSVError
===== Recipe: Handle Non-Compliant Row Separator
For data with non-compliant row separators, use option +:row_sep+.
This example source uses semicolon (";") as its row separator:
source = "foo,1;bar,1;baz,2;"
CSV.parse(source, row_sep: ';') # => [["foo", "1"], ["bar", "1"], ["baz", "2"]]
==== Column Separator
RFC 4180 specifies column separator COMMA (Ruby ",").
===== Recipe: Handle Compliant Column Separator
Because the \CSV default comma separator is ',',
you need not specify option +:col_sep+ for compliant data:
source = "foo,1\nbar,1\nbaz,2\n"
CSV.parse(source) # => [["foo", "1"], ["bar", "1"], ["baz", "2"]]
===== Recipe: Handle Non-Compliant Column Separator
For data with non-compliant column separators, use option +:col_sep+.
This example source uses TAB ("\t") as its column separator:
source = "foo,1\tbar,1\tbaz,2"
CSV.parse(source, col_sep: "\t") # => [["foo", "1"], ["bar", "1"], ["baz", "2"]]
==== Quote Character
RFC 4180 specifies quote character DQUOTE (Ruby "\"").
===== Recipe: Handle Compliant Quote Character
Because the \CSV default quote character is "\"",
you need not specify option +:quote_char+ for compliant data:
source = "\"foo\",\"1\"\n\"bar\",\"1\"\n\"baz\",\"2\"\n"
CSV.parse(source) # => [["foo", "1"], ["bar", "1"], ["baz", "2"]]
===== Recipe: Handle Non-Compliant Quote Character
For data with non-compliant quote characters, use option +:quote_char+.
This example source uses SQUOTE ("'") as its quote character:
source = "'foo','1'\n'bar','1'\n'baz','2'\n"
CSV.parse(source, quote_char: "'") # => [["foo", "1"], ["bar", "1"], ["baz", "2"]]
==== Recipe: Allow Liberal Parsing
Use option +:liberal_parsing+ to specify that \CSV should
attempt to parse input not conformant with RFC 4180, such as double quotes in unquoted fields:
source = 'is,this "three, or four",fields'
CSV.parse(source) # Raises MalformedCSVError
CSV.parse(source, liberal_parsing: true) # => [["is", "this \"three", " or four\"", "fields"]]
=== Special Handling
You can use parsing options to specify special handling for certain lines and fields.
==== Special Line Handling
Use parsing options to specify special handling for blank lines, or for other selected lines.
===== Recipe: Ignore Blank Lines
Use option +:skip_blanks+ to ignore blank lines:
source = <<-EOT
foo,0
bar,1
baz,2
,
EOT
parsed = CSV.parse(source, skip_blanks: true)
parsed # => [["foo", "0"], ["bar", "1"], ["baz", "2"], [nil, nil]]
===== Recipe: Ignore Selected Lines
Use option +:skip_lines+ to ignore selected lines.
source = <<-EOT
# Comment
foo,0
bar,1
baz,2
# Another comment
EOT
parsed = CSV.parse(source, skip_lines: /^#/)
parsed # => [["foo", "0"], ["bar", "1"], ["baz", "2"]]
==== Special Field Handling
Use parsing options to specify special handling for certain field values.
===== Recipe: Strip Fields
Use option +:strip+ to strip parsed field values:
CSV.parse_line(' a , b ', strip: true) # => ["a", "b"]
===== Recipe: Handle Null Fields
Use option +:nil_value+ to specify a value that will replace each field
that is null (no text):
CSV.parse_line('a,,b,,c', nil_value: 0) # => ["a", 0, "b", 0, "c"]
===== Recipe: Handle Empty Fields
Use option +:empty_value+ to specify a value that will replace each field
that is empty (\String of length 0);
CSV.parse_line('a,"",b,"",c', empty_value: 'x') # => ["a", "x", "b", "x", "c"]
=== Converting Fields
You can use field converters to change parsed \String fields into other objects,
or to otherwise modify the \String fields.
==== Converting Fields to Objects
Use field converters to change parsed \String objects into other, more specific, objects.
There are built-in field converters for converting to objects of certain classes:
- \Float
- \Integer
- \Date
- \DateTime
- \Time
Other built-in field converters include:
- +:numeric+: converts to \Integer and \Float.
- +:all+: converts to \DateTime, \Integer, \Float.
You can also define field converters to convert to objects of other classes.
===== Recipe: Convert Fields to Integers
Convert fields to \Integer objects using built-in converter +:integer+:
source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
parsed = CSV.parse(source, headers: true, converters: :integer)
parsed.map {|row| row['Value'].class} # => [Integer, Integer, Integer]
===== Recipe: Convert Fields to Floats
Convert fields to \Float objects using built-in converter +:float+:
source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
parsed = CSV.parse(source, headers: true, converters: :float)
parsed.map {|row| row['Value'].class} # => [Float, Float, Float]
===== Recipe: Convert Fields to Numerics
Convert fields to \Integer and \Float objects using built-in converter +:numeric+:
source = "Name,Value\nfoo,0\nbar,1.1\nbaz,2.2\n"
parsed = CSV.parse(source, headers: true, converters: :numeric)
parsed.map {|row| row['Value'].class} # => [Integer, Float, Float]
===== Recipe: Convert Fields to Dates
Convert fields to \Date objects using built-in converter +:date+:
source = "Name,Date\nfoo,2001-02-03\nbar,2001-02-04\nbaz,2001-02-03\n"
parsed = CSV.parse(source, headers: true, converters: :date)
parsed.map {|row| row['Date'].class} # => [Date, Date, Date]
===== Recipe: Convert Fields to DateTimes
Convert fields to \DateTime objects using built-in converter +:date_time+:
source = "Name,DateTime\nfoo,2001-02-03\nbar,2001-02-04\nbaz,2020-05-07T14:59:00-05:00\n"
parsed = CSV.parse(source, headers: true, converters: :date_time)
parsed.map {|row| row['DateTime'].class} # => [DateTime, DateTime, DateTime]
===== Recipe: Convert Fields to Times
Convert fields to \Time objects using built-in converter +:time+:
source = "Name,Time\nfoo,2001-02-03\nbar,2001-02-04\nbaz,2020-05-07T14:59:00-05:00\n"
parsed = CSV.parse(source, headers: true, converters: :time)
parsed.map {|row| row['Time'].class} # => [Time, Time, Time]
===== Recipe: Convert Assorted Fields to Objects
Convert assorted fields to objects using built-in converter +:all+:
source = "Type,Value\nInteger,0\nFloat,1.0\nDateTime,2001-02-04\n"
parsed = CSV.parse(source, headers: true, converters: :all)
parsed.map {|row| row['Value'].class} # => [Integer, Float, DateTime]
===== Recipe: Convert Fields to Other Objects
Define a custom field converter to convert \String fields into other objects.
This example defines and uses a custom field converter
that converts each column-1 value to a \Rational object:
rational_converter = proc do |field, field_context|
field_context.index == 1 ? field.to_r : field
end
source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
parsed = CSV.parse(source, headers: true, converters: rational_converter)
parsed.map {|row| row['Value'].class} # => [Rational, Rational, Rational]
==== Recipe: Filter Field Strings
Define a custom field converter to modify \String fields.
This example defines and uses a custom field converter
that strips whitespace from each field value:
strip_converter = proc {|field| field.strip }
source = "Name,Value\n foo , 0 \n bar , 1 \n baz , 2 \n"
parsed = CSV.parse(source, headers: true, converters: strip_converter)
parsed['Name'] # => ["foo", "bar", "baz"]
parsed['Value'] # => ["0", "1", "2"]
==== Recipe: Register Field Converters
Register a custom field converter, assigning it a name;
then refer to the converter by its name:
rational_converter = proc do |field, field_context|
field_context.index == 1 ? field.to_r : field
end
CSV::Converters[:rational] = rational_converter
source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
parsed = CSV.parse(source, headers: true, converters: :rational)
parsed['Value'] # => [(0/1), (1/1), (2/1)]
==== Using Multiple Field Converters
You can use multiple field converters in either of these ways:
- Specify converters in option +:converters+.
- Specify converters in a custom converter list.
===== Recipe: Specify Multiple Field Converters in Option +:converters+
Apply multiple field converters by specifying them in option +:converters+:
source = "Name,Value\nfoo,0\nbar,1.0\nbaz,2.0\n"
parsed = CSV.parse(source, headers: true, converters: [:integer, :float])
parsed['Value'] # => [0, 1.0, 2.0]
===== Recipe: Specify Multiple Field Converters in a Custom Converter List
Apply multiple field converters by defining and registering a custom converter list:
strip_converter = proc {|field| field.strip }
CSV::Converters[:strip] = strip_converter
CSV::Converters[:my_converters] = [:integer, :float, :strip]
source = "Name,Value\n foo , 0 \n bar , 1.0 \n baz , 2.0 \n"
parsed = CSV.parse(source, headers: true, converters: :my_converters)
parsed['Name'] # => ["foo", "bar", "baz"]
parsed['Value'] # => [0, 1.0, 2.0]
=== Converting Headers
You can use header converters to modify parsed \String headers.
Built-in header converters include:
- +:symbol+: converts \String header to \Symbol.
- +:downcase+: converts \String header to lowercase.
You can also define header converters to otherwise modify header \Strings.
==== Recipe: Convert Headers to Lowercase
Convert headers to lowercase using built-in converter +:downcase+:
source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
parsed = CSV.parse(source, headers: true, header_converters: :downcase)
parsed.headers # => ["name", "value"]
==== Recipe: Convert Headers to Symbols
Convert headers to downcased Symbols using built-in converter +:symbol+:
source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
parsed = CSV.parse(source, headers: true, header_converters: :symbol)
parsed.headers # => [:name, :value]
parsed.headers.map {|header| header.class} # => [Symbol, Symbol]
==== Recipe: Filter Header Strings
Define a custom header converter to modify \String fields.
This example defines and uses a custom header converter
that capitalizes each header \String:
capitalize_converter = proc {|header| header.capitalize }
source = "NAME,VALUE\nfoo,0\nbar,1\nbaz,2\n"
parsed = CSV.parse(source, headers: true, header_converters: capitalize_converter)
parsed.headers # => ["Name", "Value"]
==== Recipe: Register Header Converters
Register a custom header converter, assigning it a name;
then refer to the converter by its name:
capitalize_converter = proc {|header| header.capitalize }
CSV::HeaderConverters[:capitalize] = capitalize_converter
source = "NAME,VALUE\nfoo,0\nbar,1\nbaz,2\n"
parsed = CSV.parse(source, headers: true, header_converters: :capitalize)
parsed.headers # => ["Name", "Value"]
==== Using Multiple Header Converters
You can use multiple header converters in either of these ways:
- Specify header converters in option +:header_converters+.
- Specify header converters in a custom header converter list.
===== Recipe: Specify Multiple Header Converters in Option :header_converters
Apply multiple header converters by specifying them in option +:header_converters+:
source = "Name,Value\nfoo,0\nbar,1.0\nbaz,2.0\n"
parsed = CSV.parse(source, headers: true, header_converters: [:downcase, :symbol])
parsed.headers # => [:name, :value]
===== Recipe: Specify Multiple Header Converters in a Custom Header Converter List
Apply multiple header converters by defining and registering a custom header converter list:
CSV::HeaderConverters[:my_header_converters] = [:symbol, :downcase]
source = "NAME,VALUE\nfoo,0\nbar,1.0\nbaz,2.0\n"
parsed = CSV.parse(source, headers: true, header_converters: :my_header_converters)
parsed.headers # => [:name, :value]
=== Diagnostics
==== Recipe: Capture Unconverted Fields
To capture unconverted field values, use option +:unconverted_fields+:
source = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
parsed = CSV.parse(source, converters: :integer, unconverted_fields: true)
parsed # => [["Name", "Value"], ["foo", 0], ["bar", 1], ["baz", 2]]
parsed.each {|row| p row.unconverted_fields }
Output:
["Name", "Value"]
["foo", "0"]
["bar", "1"]
["baz", "2"]
==== Recipe: Capture Field Info
To capture field info in a custom converter, accept two block arguments.
The first is the field value; the second is a +CSV::FieldInfo+ object:
strip_converter = proc {|field, field_info| p field_info; field.strip }
source = " foo , 0 \n bar , 1 \n baz , 2 \n"
parsed = CSV.parse(source, converters: strip_converter)
parsed # => [["foo", "0"], ["bar", "1"], ["baz", "2"]]
Output:
#
#
#
#
#
#
PK ! rDM recipes/recipes.rdocnu [ == Recipes for \CSV
The recipes are specific code examples for specific tasks. See:
- {Recipes for Parsing CSV}[./parsing_rdoc.html]
- {Recipes for Generating CSV}[./generating_rdoc.html]
- {Recipes for Filtering CSV}[./filtering_rdoc.html]
PK ! {d" " recipes/filtering.rdocnu [ == Recipes for Filtering \CSV
These recipes are specific code examples for specific \CSV filtering tasks.
For other recipes, see {Recipes for CSV}[./recipes_rdoc.html].
All code snippets on this page assume that the following has been executed:
require 'csv'
=== Contents
- {Source and Output Formats}[#label-Source+and+Output+Formats]
- {Filtering String to String}[#label-Filtering+String+to+String]
- {Recipe: Filter String to String parsing Headers}[#label-Recipe-3A+Filter+String+to+String+parsing+Headers]
- {Recipe: Filter String to String parsing and writing Headers}[#label-Recipe-3A+Filter+String+to+String+parsing+and+writing+Headers]
- {Recipe: Filter String to String Without Headers}[#label-Recipe-3A+Filter+String+to+String+Without+Headers]
- {Filtering String to IO Stream}[#label-Filtering+String+to+IO+Stream]
- {Recipe: Filter String to IO Stream parsing Headers}[#label-Recipe-3A+Filter+String+to+IO+Stream+parsing+Headers]
- {Recipe: Filter String to IO Stream parsing and writing Headers}[#label-Recipe-3A+Filter+String+to+IO+Stream+parsing+and+writing+Headers]
- {Recipe: Filter String to IO Stream Without Headers}[#label-Recipe-3A+Filter+String+to+IO+Stream+Without+Headers]
- {Filtering IO Stream to String}[#label-Filtering+IO+Stream+to+String]
- {Recipe: Filter IO Stream to String parsing Headers}[#label-Recipe-3A+Filter+IO+Stream+to+String+parsing+Headers]
- {Recipe: Filter IO Stream to String parsing and writing Headers}[#label-Recipe-3A+Filter+IO+Stream+to+String+parsing+and+writing+Headers]
- {Recipe: Filter IO Stream to String Without Headers}[#label-Recipe-3A+Filter+IO+Stream+to+String+Without+Headers]
- {Filtering IO Stream to IO Stream}[#label-Filtering+IO+Stream+to+IO+Stream]
- {Recipe: Filter IO Stream to IO Stream parsing Headers}[#label-Recipe-3A+Filter+IO+Stream+to+IO+Stream+parsing+Headers]
- {Recipe: Filter IO Stream to IO Stream parsing and writing Headers}[#label-Recipe-3A+Filter+IO+Stream+to+IO+Stream+parsing+and+writing+Headers]
- {Recipe: Filter IO Stream to IO Stream Without Headers}[#label-Recipe-3A+Filter+IO+Stream+to+IO+Stream+Without+Headers]
=== Source and Output Formats
You can use a Unix-style "filter" for \CSV data.
The filter reads source \CSV data and writes output \CSV data as modified by the filter.
The input and output \CSV data may be any mixture of \Strings and \IO streams.
==== Filtering \String to \String
You can filter one \String to another, with or without headers.
===== Recipe: Filter \String to \String parsing Headers
Use class method CSV.filter with option +headers+ to filter a \String to another \String:
in_string = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
out_string = ''
CSV.filter(in_string, out_string, headers: true) do |row|
row['Name'] = row['Name'].upcase
row['Value'] *= 4
end
out_string # => "FOO,0000\nBAR,1111\nBAZ,2222\n"
===== Recipe: Filter \String to \String parsing and writing Headers
Use class method CSV.filter with option +headers+ and +out_write_headers+ to filter a \String to another \String including header row:
in_string = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
out_string = ''
CSV.filter(in_string, out_string, headers: true, out_write_headers: true) do |row|
unless row.is_a?(Array)
row['Name'] = row['Name'].upcase
row['Value'] *= 4
end
end
out_string # => "Name,Value\nFOO,0000\nBAR,1111\nBAZ,2222\n"
===== Recipe: Filter \String to \String Without Headers
Use class method CSV.filter without option +headers+ to filter a \String to another \String:
in_string = "foo,0\nbar,1\nbaz,2\n"
out_string = ''
CSV.filter(in_string, out_string) do |row|
row[0] = row[0].upcase
row[1] *= 4
end
out_string # => "FOO,0000\nBAR,1111\nBAZ,2222\n"
==== Filtering \String to \IO Stream
You can filter a \String to an \IO stream, with or without headers.
===== Recipe: Filter \String to \IO Stream parsing Headers
Use class method CSV.filter with option +headers+ to filter a \String to an \IO stream:
in_string = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
path = 't.csv'
File.open(path, 'w') do |out_io|
CSV.filter(in_string, out_io, headers: true) do |row|
row['Name'] = row['Name'].upcase
row['Value'] *= 4
end
end
p File.read(path) # => "FOO,0000\nBAR,1111\nBAZ,2222\n"
===== Recipe: Filter \String to \IO Stream parsing and writing Headers
Use class method CSV.filter with option +headers+ and +out_write_headers+ to filter a \String to an \IO stream including header row:
in_string = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
path = 't.csv'
File.open(path, 'w') do |out_io|
CSV.filter(in_string, out_io, headers: true, out_write_headers: true ) do |row|
unless row.is_a?(Array)
row['Name'] = row['Name'].upcase
row['Value'] *= 4
end
end
end
p File.read(path) # => "Name,Value\nFOO,0000\nBAR,1111\nBAZ,2222\n"
===== Recipe: Filter \String to \IO Stream Without Headers
Use class method CSV.filter without option +headers+ to filter a \String to an \IO stream:
in_string = "foo,0\nbar,1\nbaz,2\n"
path = 't.csv'
File.open(path, 'w') do |out_io|
CSV.filter(in_string, out_io) do |row|
row[0] = row[0].upcase
row[1] *= 4
end
end
p File.read(path) # => "FOO,0000\nBAR,1111\nBAZ,2222\n"
==== Filtering \IO Stream to \String
You can filter an \IO stream to a \String, with or without headers.
===== Recipe: Filter \IO Stream to \String parsing Headers
Use class method CSV.filter with option +headers+ to filter an \IO stream to a \String:
in_string = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
path = 't.csv'
File.write(path, in_string)
out_string = ''
File.open(path) do |in_io|
CSV.filter(in_io, out_string, headers: true) do |row|
row['Name'] = row['Name'].upcase
row['Value'] *= 4
end
end
out_string # => "FOO,0000\nBAR,1111\nBAZ,2222\n"
===== Recipe: Filter \IO Stream to \String parsing and writing Headers
Use class method CSV.filter with option +headers+ and +out_write_headers+ to filter an \IO stream to a \String including header row:
in_string = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
path = 't.csv'
File.write(path, in_string)
out_string = ''
File.open(path) do |in_io|
CSV.filter(in_io, out_string, headers: true, out_write_headers: true) do |row|
unless row.is_a?(Array)
row['Name'] = row['Name'].upcase
row['Value'] *= 4
end
end
end
out_string # => "Name,Value\nFOO,0000\nBAR,1111\nBAZ,2222\n"
===== Recipe: Filter \IO Stream to \String Without Headers
Use class method CSV.filter without option +headers+ to filter an \IO stream to a \String:
in_string = "foo,0\nbar,1\nbaz,2\n"
path = 't.csv'
File.write(path, in_string)
out_string = ''
File.open(path) do |in_io|
CSV.filter(in_io, out_string) do |row|
row[0] = row[0].upcase
row[1] *= 4
end
end
out_string # => "FOO,0000\nBAR,1111\nBAZ,2222\n"
==== Filtering \IO Stream to \IO Stream
You can filter an \IO stream to another \IO stream, with or without headers.
===== Recipe: Filter \IO Stream to \IO Stream parsing Headers
Use class method CSV.filter with option +headers+ to filter an \IO stream to another \IO stream:
in_path = 't.csv'
in_string = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
File.write(in_path, in_string)
out_path = 'u.csv'
File.open(in_path) do |in_io|
File.open(out_path, 'w') do |out_io|
CSV.filter(in_io, out_io, headers: true) do |row|
row['Name'] = row['Name'].upcase
row['Value'] *= 4
end
end
end
p File.read(out_path) # => "FOO,0000\nBAR,1111\nBAZ,2222\n"
===== Recipe: Filter \IO Stream to \IO Stream parsing and writing Headers
Use class method CSV.filter with option +headers+ and +out_write_headers+ to filter an \IO stream to another \IO stream including header row:
in_path = 't.csv'
in_string = "Name,Value\nfoo,0\nbar,1\nbaz,2\n"
File.write(in_path, in_string)
out_path = 'u.csv'
File.open(in_path) do |in_io|
File.open(out_path, 'w') do |out_io|
CSV.filter(in_io, out_io, headers: true, out_write_headers: true) do |row|
unless row.is_a?(Array)
row['Name'] = row['Name'].upcase
row['Value'] *= 4
end
end
end
end
p File.read(out_path) # => "Name,Value\nFOO,0000\nBAR,1111\nBAZ,2222\n"
===== Recipe: Filter \IO Stream to \IO Stream Without Headers
Use class method CSV.filter without option +headers+ to filter an \IO stream to another \IO stream:
in_path = 't.csv'
in_string = "foo,0\nbar,1\nbaz,2\n"
File.write(in_path, in_string)
out_path = 'u.csv'
File.open(in_path) do |in_io|
File.open(out_path, 'w') do |out_io|
CSV.filter(in_io, out_io) do |row|
row[0] = row[0].upcase
row[1] *= 4
end
end
end
p File.read(out_path) # => "FOO,0000\nBAR,1111\nBAZ,2222\n"
PK ! c%73) 3) recipes/generating.rdocnu [ == Recipes for Generating \CSV
These recipes are specific code examples for specific \CSV generating tasks.
For other recipes, see {Recipes for CSV}[./recipes_rdoc.html].
All code snippets on this page assume that the following has been executed:
require 'csv'
=== Contents
- {Output Formats}[#label-Output+Formats]
- {Generating to a String}[#label-Generating+to+a+String]
- {Recipe: Generate to String with Headers}[#label-Recipe-3A+Generate+to+String+with+Headers]
- {Recipe: Generate to String Without Headers}[#label-Recipe-3A+Generate+to+String+Without+Headers]
- {Generating to a File}[#label-Generating+to+a+File]
- {Recipe: Generate to File with Headers}[#label-Recipe-3A+Generate+to+File+with+Headers]
- {Recipe: Generate to File Without Headers}[#label-Recipe-3A+Generate+to+File+Without+Headers]
- {Generating to IO an Stream}[#label-Generating+to+an+IO+Stream]
- {Recipe: Generate to IO Stream with Headers}[#label-Recipe-3A+Generate+to+IO+Stream+with+Headers]
- {Recipe: Generate to IO Stream Without Headers}[#label-Recipe-3A+Generate+to+IO+Stream+Without+Headers]
- {Converting Fields}[#label-Converting+Fields]
- {Recipe: Filter Generated Field Strings}[#label-Recipe-3A+Filter+Generated+Field+Strings]
- {Recipe: Specify Multiple Write Converters}[#label-Recipe-3A+Specify+Multiple+Write+Converters]
- {RFC 4180 Compliance}[#label-RFC+4180+Compliance]
- {Row Separator}[#label-Row+Separator]
- {Recipe: Generate Compliant Row Separator}[#label-Recipe-3A+Generate+Compliant+Row+Separator]
- {Recipe: Generate Non-Compliant Row Separator}[#label-Recipe-3A+Generate+Non-Compliant+Row+Separator]
- {Column Separator}[#label-Column+Separator]
- {Recipe: Generate Compliant Column Separator}[#label-Recipe-3A+Generate+Compliant+Column+Separator]
- {Recipe: Generate Non-Compliant Column Separator}[#label-Recipe-3A+Generate+Non-Compliant+Column+Separator]
- {Quotes}[#label-Quotes]
- {Recipe: Quote All Fields}[#label-Recipe-3A+Quote+All+Fields]
- {Recipe: Quote Empty Fields}[#label-Recipe-3A+Quote+Empty+Fields]
- {Recipe: Generate Compliant Quote Character}[#label-Recipe-3A+Generate+Compliant+Quote+Character]
- {Recipe: Generate Non-Compliant Quote Character}[#label-Recipe-3A+Generate+Non-Compliant+Quote+Character]
=== Output Formats
You can generate \CSV output to a \String, to a \File (via its path), or to an \IO stream.
==== Generating to a \String
You can generate \CSV output to a \String, with or without headers.
===== Recipe: Generate to \String with Headers
Use class method CSV.generate with option +headers+ to generate to a \String.
This example uses method CSV#<< to append the rows
that are to be generated:
output_string = CSV.generate('', headers: ['Name', 'Value'], write_headers: true) do |csv|
csv << ['Foo', 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
output_string # => "Name,Value\nFoo,0\nBar,1\nBaz,2\n"
===== Recipe: Generate to \String Without Headers
Use class method CSV.generate without option +headers+ to generate to a \String.
This example uses method CSV#<< to append the rows
that are to be generated:
output_string = CSV.generate do |csv|
csv << ['Foo', 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
output_string # => "Foo,0\nBar,1\nBaz,2\n"
==== Generating to a \File
You can generate /CSV data to a \File, with or without headers.
===== Recipe: Generate to \File with Headers
Use class method CSV.open with option +headers+ generate to a \File.
This example uses method CSV#<< to append the rows
that are to be generated:
path = 't.csv'
CSV.open(path, 'w', headers: ['Name', 'Value'], write_headers: true) do |csv|
csv << ['Foo', 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
p File.read(path) # => "Name,Value\nFoo,0\nBar,1\nBaz,2\n"
===== Recipe: Generate to \File Without Headers
Use class method CSV.open without option +headers+ to generate to a \File.
This example uses method CSV#<< to append the rows
that are to be generated:
path = 't.csv'
CSV.open(path, 'w') do |csv|
csv << ['Foo', 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
p File.read(path) # => "Foo,0\nBar,1\nBaz,2\n"
==== Generating to an \IO Stream
You can generate \CSV data to an \IO stream, with or without headers.
==== Recipe: Generate to \IO Stream with Headers
Use class method CSV.new with option +headers+ to generate \CSV data to an \IO stream:
path = 't.csv'
File.open(path, 'w') do |file|
csv = CSV.new(file, headers: ['Name', 'Value'], write_headers: true)
csv << ['Foo', 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
p File.read(path) # => "Name,Value\nFoo,0\nBar,1\nBaz,2\n"
===== Recipe: Generate to \IO Stream Without Headers
Use class method CSV.new without option +headers+ to generate \CSV data to an \IO stream:
path = 't.csv'
File.open(path, 'w') do |file|
csv = CSV.new(file)
csv << ['Foo', 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
p File.read(path) # => "Foo,0\nBar,1\nBaz,2\n"
=== Converting Fields
You can use _write_ _converters_ to convert fields when generating \CSV.
==== Recipe: Filter Generated Field Strings
Use option :write_converters and a custom converter to convert field values when generating \CSV.
This example defines and uses a custom write converter to strip whitespace from generated fields:
strip_converter = proc {|field| field.respond_to?(:strip) ? field.strip : field }
output_string = CSV.generate(write_converters: strip_converter) do |csv|
csv << [' foo ', 0]
csv << [' bar ', 1]
csv << [' baz ', 2]
end
output_string # => "foo,0\nbar,1\nbaz,2\n"
==== Recipe: Specify Multiple Write Converters
Use option :write_converters and multiple custom converters
to convert field values when generating \CSV.
This example defines and uses two custom write converters to strip and upcase generated fields:
strip_converter = proc {|field| field.respond_to?(:strip) ? field.strip : field }
upcase_converter = proc {|field| field.respond_to?(:upcase) ? field.upcase : field }
converters = [strip_converter, upcase_converter]
output_string = CSV.generate(write_converters: converters) do |csv|
csv << [' foo ', 0]
csv << [' bar ', 1]
csv << [' baz ', 2]
end
output_string # => "FOO,0\nBAR,1\nBAZ,2\n"
=== RFC 4180 Compliance
By default, \CSV generates data that is compliant with
{RFC 4180}[https://www.rfc-editor.org/rfc/rfc4180]
with respect to:
- Column separator.
- Quote character.
==== Row Separator
RFC 4180 specifies the row separator CRLF (Ruby "\r\n").
===== Recipe: Generate Compliant Row Separator
For strict compliance, use option +:row_sep+ to specify row separator "\r\n":
output_string = CSV.generate('', row_sep: "\r\n") do |csv|
csv << ['Foo', 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
output_string # => "Foo,0\r\nBar,1\r\nBaz,2\r\n"
===== Recipe: Generate Non-Compliant Row Separator
For data with non-compliant row separators, use option +:row_sep+ with a different value:
This example source uses semicolon (";') as its row separator:
output_string = CSV.generate('', row_sep: ";") do |csv|
csv << ['Foo', 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
output_string # => "Foo,0;Bar,1;Baz,2;"
==== Column Separator
RFC 4180 specifies column separator COMMA (Ruby ",").
===== Recipe: Generate Compliant Column Separator
Because the \CSV default comma separator is ",",
you need not specify option +:col_sep+ for compliant data:
output_string = CSV.generate('') do |csv|
csv << ['Foo', 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
output_string # => "Foo,0\nBar,1\nBaz,2\n"
===== Recipe: Generate Non-Compliant Column Separator
For data with non-compliant column separators, use option +:col_sep+.
This example source uses TAB ("\t") as its column separator:
output_string = CSV.generate('', col_sep: "\t") do |csv|
csv << ['Foo', 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
output_string # => "Foo\t0\nBar\t1\nBaz\t2\n"
==== Quotes
IFC 4180 allows most fields to be quoted or not.
By default, \CSV does not quote most fields.
However, a field containing the current row separator, column separator,
or quote character is automatically quoted, producing IFC 4180 compliance:
# Field contains row separator.
output_string = CSV.generate('') do |csv|
row_sep = csv.row_sep
csv << ["Foo#{row_sep}Foo", 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
output_string # => "\"Foo\nFoo\",0\nBar,1\nBaz,2\n"
# Field contains column separator.
output_string = CSV.generate('') do |csv|
col_sep = csv.col_sep
csv << ["Foo#{col_sep}Foo", 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
output_string # => "\"Foo,Foo\",0\nBar,1\nBaz,2\n"
# Field contains quote character.
output_string = CSV.generate('') do |csv|
quote_char = csv.quote_char
csv << ["Foo#{quote_char}Foo", 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
output_string # => "\"Foo\"\"Foo\",0\nBar,1\nBaz,2\n"
===== Recipe: Quote All Fields
Use option +:force_quotes+ to force quoted fields:
output_string = CSV.generate('', force_quotes: true) do |csv|
csv << ['Foo', 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
output_string # => "\"Foo\",\"0\"\n\"Bar\",\"1\"\n\"Baz\",\"2\"\n"
===== Recipe: Quote Empty Fields
Use option +:quote_empty+ to force quoting for empty fields:
output_string = CSV.generate('', quote_empty: true) do |csv|
csv << ['Foo', 0]
csv << ['Bar', 1]
csv << ['', 2]
end
output_string # => "Foo,0\nBar,1\n\"\",2\n"
===== Recipe: Generate Compliant Quote Character
RFC 4180 specifies quote character DQUOTE (Ruby "\"").
Because the \CSV default quote character is also "\"",
you need not specify option +:quote_char+ for compliant data:
output_string = CSV.generate('', force_quotes: true) do |csv|
csv << ['Foo', 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
output_string # => "\"Foo\",\"0\"\n\"Bar\",\"1\"\n\"Baz\",\"2\"\n"
===== Recipe: Generate Non-Compliant Quote Character
For data with non-compliant quote characters, use option +:quote_char+.
This example source uses SQUOTE ("'") as its quote character:
output_string = CSV.generate('', quote_char: "'", force_quotes: true) do |csv|
csv << ['Foo', 0]
csv << ['Bar', 1]
csv << ['Baz', 2]
end
output_string # => "'Foo','0'\n'Bar','1'\n'Baz','2'\n"
PK ! < < options/parsing/skip_lines.rdocnu [ ====== Option +skip_lines+
Specifies an object to use in identifying comment lines in the input that are to be ignored:
* If a \Regexp, ignores lines that match it.
* If a \String, converts it to a \Regexp, ignores lines that match it.
* If +nil+, no lines are considered to be comments.
Default value:
CSV::DEFAULT_OPTIONS.fetch(:skip_lines) # => nil
For examples in this section:
str = <<-EOT
# Comment
foo,0
bar,1
baz,2
# Another comment
EOT
str # => "# Comment\nfoo,0\nbar,1\nbaz,2\n# Another comment\n"
Using the default, +nil+:
ary = CSV.parse(str)
ary # => [["# Comment"], ["foo", "0"], ["bar", "1"], ["baz", "2"], ["# Another comment"]]
Using a \Regexp:
ary = CSV.parse(str, skip_lines: /^#/)
ary # => [["foo", "0"], ["bar", "1"], ["baz", "2"]]
Using a \String:
ary = CSV.parse(str, skip_lines: '#')
ary # => [["foo", "0"], ["bar", "1"], ["baz", "2"]]
---
Raises an exception if given an object that is not a \Regexp, a \String, or +nil+:
# Raises ArgumentError (:skip_lines has to respond to #match: 0)
CSV.parse(str, skip_lines: 0)
PK ! x*^k k options/parsing/strip.rdocnu [ ====== Option +strip+
Specifies the boolean value that determines whether
whitespace is stripped from each input field.
Default value:
CSV::DEFAULT_OPTIONS.fetch(:strip) # => false
With default value +false+:
ary = CSV.parse_line(' a , b ')
ary # => [" a ", " b "]
With value +true+:
ary = CSV.parse_line(' a , b ', strip: true)
ary # => ["a", "b"]
PK ! J> options/parsing/empty_value.rdocnu [ ====== Option +empty_value+
Specifies the object that is to be substituted
for each field that has an empty \String.
Default value:
CSV::DEFAULT_OPTIONS.fetch(:empty_value) # => "" (empty string)
With the default, "":
CSV.parse_line('a,"",b,"",c') # => ["a", "", "b", "", "c"]
With a different object:
CSV.parse_line('a,"",b,"",c', empty_value: 'x') # => ["a", "x", "b", "x", "c"]
PK ! R{ options/parsing/converters.rdocnu [ ====== Option +converters+
Specifies converters to be used in parsing fields.
See {Field Converters}[#class-CSV-label-Field+Converters]
Default value:
CSV::DEFAULT_OPTIONS.fetch(:converters) # => nil
The value may be a field converter name
(see {Stored Converters}[#class-CSV-label-Stored+Converters]):
str = '1,2,3'
# Without a converter
array = CSV.parse_line(str)
array # => ["1", "2", "3"]
# With built-in converter :integer
array = CSV.parse_line(str, converters: :integer)
array # => [1, 2, 3]
The value may be a converter list
(see {Converter Lists}[#class-CSV-label-Converter+Lists]):
str = '1,3.14159'
# Without converters
array = CSV.parse_line(str)
array # => ["1", "3.14159"]
# With built-in converters
array = CSV.parse_line(str, converters: [:integer, :float])
array # => [1, 3.14159]
The value may be a \Proc custom converter:
(see {Custom Field Converters}[#class-CSV-label-Custom+Field+Converters]):
str = ' foo , bar , baz '
# Without a converter
array = CSV.parse_line(str)
array # => [" foo ", " bar ", " baz "]
# With a custom converter
array = CSV.parse_line(str, converters: proc {|field| field.strip })
array # => ["foo", "bar", "baz"]
See also {Custom Field Converters}[#class-CSV-label-Custom+Field+Converters]
---
Raises an exception if the converter is not a converter name or a \Proc:
str = 'foo,0'
# Raises NoMethodError (undefined method `arity' for nil:NilClass)
CSV.parse(str, converters: :foo)
PK ! 8 8 # options/parsing/return_headers.rdocnu [ ====== Option +return_headers+
Specifies the boolean that determines whether method #shift
returns or ignores the header row.
Default value:
CSV::DEFAULT_OPTIONS.fetch(:return_headers) # => false
Examples:
str = <<-EOT
Name,Count
foo,0
bar,1
bax,2
EOT
# Without return_headers first row is str.
csv = CSV.new(str, headers: true)
csv.shift # => #
# With return_headers first row is headers.
csv = CSV.new(str, headers: true, return_headers: true)
csv.shift # => #
PK ! ^;h_ _ options/parsing/nil_value.rdocnu [ ====== Option +nil_value+
Specifies the object that is to be substituted for each null (no-text) field.
Default value:
CSV::DEFAULT_OPTIONS.fetch(:nil_value) # => nil
With the default, +nil+:
CSV.parse_line('a,,b,,c') # => ["a", nil, "b", nil, "c"]
With a different object:
CSV.parse_line('a,,b,,c', nil_value: 0) # => ["a", 0, "b", 0, "c"]
PK ! njn options/parsing/headers.rdocnu [ ====== Option +headers+
Specifies a boolean, \Symbol, \Array, or \String to be used
to define column headers.
Default value:
CSV::DEFAULT_OPTIONS.fetch(:headers) # => false
---
Without +headers+:
str = <<-EOT
Name,Count
foo,0
bar,1
bax,2
EOT
csv = CSV.new(str)
csv # => #
csv.headers # => nil
csv.shift # => ["Name", "Count"]
---
If set to +true+ or the \Symbol +:first_row+,
the first row of the data is treated as a row of headers:
str = <<-EOT
Name,Count
foo,0
bar,1
bax,2
EOT
csv = CSV.new(str, headers: true)
csv # => #
csv.headers # => ["Name", "Count"]
csv.shift # => #
---
If set to an \Array, the \Array elements are treated as headers:
str = <<-EOT
foo,0
bar,1
bax,2
EOT
csv = CSV.new(str, headers: ['Name', 'Count'])
csv
csv.headers # => ["Name", "Count"]
csv.shift # => #
---
If set to a \String +str+, method CSV::parse_line(str, options) is called
with the current +options+, and the returned \Array is treated as headers:
str = <<-EOT
foo,0
bar,1
bax,2
EOT
csv = CSV.new(str, headers: 'Name,Count')
csv
csv.headers # => ["Name", "Count"]
csv.shift # => #
PK ! v6 &