I have a CSV data file with rows that may have lots of columns 500+ and some with a lot less. I need to transpose it so that each row becomes a column in the output file. The problem is that the rows in the original file may not all have the same number of columns so when I try the transpose method of array I get:
`transpose': element size differs (12 should be 5) (IndexError)
Is there an alternative to transpose that works with uneven array length?
I would insert nulls to fill the holes in your matrix, something such as:
a = [[1, 2, 3], [3, 4]]
# This would throw the error you're talking about
# a.transpose
# Largest row
size = a.max { |r1, r2| r1.size <=> r2.size }.size
# Enlarge matrix inserting nils as needed
a.each { |r| r[size - 1] ||= nil }
# So now a == [[1, 2, 3], [3, 4, nil]]
aa = a.transpose
# aa == [[1, 3], [2, 4], [3, nil]]
# Intitial CSV table data
csv_data = [ [1,2,3,4,5], [10,20,30,40], [100,200] ]
# Finding max length of rows
row_length = csv_data.map(&:length).max
# Inserting nil to the end of each row
csv_data.map do |row|
(row_length - row.length).times { row.insert(-1, nil) }
end
# Let's check
csv_data
# => [[1, 2, 3, 4, 5], [10, 20, 30, 40, nil], [100, 200, nil, nil, nil]]
# Transposing...
transposed_csv_data = csv_data.transpose
# Hooray!
# => [[1, 10, 100], [2, 20, 200], [3, 30, nil], [4, 40, nil], [5, nil, nil]]
