Ruby how to merge two CSV files with slightly different headers
Challenge accepted :)
#!/usr/bin/env ruby
require "csv"
module MergeCsv
class << self
def run(csv_paths)
csv_files = csv_paths.map { |p| CSV.read(p, headers: true) }
merge(csv_files)
end
private
def merge(csv_files)
headers = csv_files.flat_map(&:headers).uniq.sort
hash_array = csv_files.flat_map(&method(:csv_to_hash_array))
CSV.generate do |merged_csv|
merged_csv << headers
hash_array.each do |row|
merged_csv << row.values_at(*headers)
end
end
end
# Probably not the most performant way, but easy
def csv_to_hash_array(csv)
csv.to_a[1..-1].map { |row| csv.headers.zip(row).to_h }
end
end
end
if(ARGV.length == 0)
puts "Use: ruby merge_csv.rb <file_path_csv_1> <file_path_csv_2>"
exit 1
end
puts MergeCsv.run(ARGV)
I have the answer, I just wanted to help people that is looking for the same solution
require "csv"
module MergeCsv
def self.run(csv_1_path, csv_2_path)
merge(File.read(csv_1_path), File.read(csv_2_path))
end
def self.merge(csv_1, csv_2)
csv_1_table = CSV.parse(csv_1, :headers => true)
csv_2_table = CSV.parse(csv_2, :headers => true)
return csv_2_table.to_csv if csv_1_table.headers.empty?
return csv_1_table.to_csv if csv_2_table.headers.empty?
headers_in_1_not_in_2 = csv_1_table.headers - csv_2_table.headers
headers_in_1_not_in_2.each do |header_in_1_not_in_2|
csv_2_table[header_in_1_not_in_2] = nil
end
headers_in_2_not_in_1 = csv_2_table.headers - csv_1_table.headers
headers_in_2_not_in_1.each do |header_in_2_not_in_1|
csv_1_table[header_in_2_not_in_1] = nil
end
csv_2_table.each do |csv_2_row|
csv_1_table << csv_1_table.headers.map { |csv_1_header| csv_2_row[csv_1_header] }
end
csv_1_table.to_csv
end
end
if(ARGV.length != 2)
puts "Use: ruby merge_csv.rb <file_path_csv_1> <file_path_csv_2>"
exit 1
end
puts MergeCsv.run(ARGV[0], ARGV[1])
And execute it from the console this way:
$ ruby merge_csv.rb csv_1.csv csv_2.csv
Any other, maybe cleaner, solution is welcome.
Simplied first answer:
How to use it:
listPart_A = CSV.read(csv_path_A, headers:true)
listPart_B = CSV.read(csv_path_B, headers:true)
listPart_C = CSV.read(csv_path_C, headers:true)
list = merge(listPart_A,listPart_B,listPart_C)
Function:
def merge(*csvs)
headers = csvs.map {|csv| csv.headers }.flatten.compact.uniq.sort
csvs.flat_map(&method(:csv_to_hash_array))
end
def csv_to_hash_array(csv)
csv.to_a[1..-1].map do |row|
Hash[csv.headers.zip(row)]
end
end