I have a string with extra whitespace:
First,Last,Email ,Mobile Phone ,Company,Title ,Street,City,State,Zip,Country, Birthday,Gender ,Contact Type
I want to parse this line and remove the whitespaces.
My code looks like:
namespace :db do
task :populate_contacts_csv => :environment do
require 'csv'
csv_text = File.read('file_upload_example.csv')
csv = CSV.parse(csv_text, :headers => true)
csv.each do |row|
puts "First Name: #{row['First']} \nLast Name: #{row['Last']} \nEmail: #{row['Email']}"
end
end
end
CSV files without whitespace is for machine (software) reading, OR where you can have a common separator that is not used elsewhere - if you want to avoid the path of escaping the separators. Fixed-width-files are better for humans, or where the separator chosen will at times be part of the text.
To skip initial space from a Pandas DataFrame, use the skipinitialspace parameter of the read_csv() method. Set the parameter to True to remove extra space.
@prices = CSV.parse(IO.read('prices.csv'), :headers=>true,
:header_converters=> lambda {|f| f.strip},
:converters=> lambda {|f| f ? f.strip : nil})
The nil test is added to the row but not header converters assuming that the headers are never nil, while the data might be, and nil doesn't have a strip method. I'm really surprised that, AFAIK, :strip is not a pre-defined converter!
You can strip
your hash first:
csv.each do |unstriped_row|
row = {}
unstriped_row.each{|k, v| row[k.strip] = v.strip}
puts "First Name: #{row['First']} \nLast Name: #{row['Last']} \nEmail: #{row['Email']}"
end
Edited to strip hash keys too
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