如何使用Ruby on Rails在Ruby中高效迭代处理CSV文件?

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2026-10-09 21:04:27
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本文共计557个文字,预计阅读时间需要3分钟。

如何使用Ruby on Rails在Ruby中高效迭代处理CSV文件?

在Ruby中,你可以使用CSV库来处理CSV文件,并对其进行格式化。以下是一个简化的示例,展示了如何读取CSV文件并格式化数据:

rubyrequire 'csv'

读取CSV文件csv_text=File.read('data.csv')csv=CSV.parse(csv_text, headers: true)

格式化数据formatted_csv=csv.map do |row| # 假设你需要根据某些条件格式化数据 formatted_row=row.dup formatted_row['11']=Agriculture, Forestry, Fishing and Hunting if row['11'].include?('11') formatted_rowend

将格式化后的数据写入新的CSV文件CSV.open('formatted_data.csv', 'w') do |csv_out| csv_out <

这段代码首先读取名为`data.csv`的CSV文件,然后遍历每一行,对需要格式化的字段进行修改,最后将格式化后的数据写入到名为`formatted_data.csv`的新文件中。

我想在 ruby中打印出一个CSV文件,但我想将其格式化.有没有办法在层次结构意义上格式化数据?这是我需要经历的列表的一小部分:

,"11: Agriculture, Forestry, Fishing and Hunting",, ,,"111: Crop Production", ,,,"111110: Soybean Farming" ,,,"111120: Oilseed (except Soybean) Farming" ,,,"111130: Dry Pea and Bean Farming" ,,,"111140: Wheat Farming" ,,"112: Animal Production", ,,,"112111: Beef Cattle Ranching and Farming" ,,,"112112: Cattle Feedlots" ,,,"112120: Dairy Cattle and Milk Production" ,,,"112130: Dual-Purpose Cattle Ranching and Farming"

我的代码是:

require 'csv' col_data = [] CSV.foreach("primary_NAICS_code.txt") {|row| col_data << row} puts col_data

这只是打印出来的一切.它是一个数组中的数组吗?就像是:

CSV.foreach do |row| row.each do |line| puts line end end

任何帮助都会指引我朝着正确的方向前进.

如何使用Ruby on Rails在Ruby中高效迭代处理CSV文件?

我想获取格式化为这样的信息:

|_ <~~ row 1 column 1 | |__<~ row 1 column 2 | | |__<~row 2 column 2 | | | |__ | | | | |__ etc... | | | | | |__ 由于您的数据已经缩进,您只需转换/格式化它.这样的事情应该有效:

col_data.each do |row| indentation, (text,*) = row.slice_before(String).to_a puts indentation.fill("|").join(" ") + "_ " + text end

输出:

|_ 11: Agriculture, Forestry, Fishing and Hunting | |_ 111: Crop Production | | |_ 111110: Soybean Farming | | |_ 111120: Oilseed (except Soybean) Farming | | |_ 111130: Dry Pea and Bean Farming | | |_ 111140: Wheat Farming | |_ 112: Animal Production | | |_ 112111: Beef Cattle Ranching and Farming | | |_ 112112: Cattle Feedlots | | |_ 112120: Dairy Cattle and Milk Production | | |_ 112130: Dual-Purpose Cattle Ranching and Farming

本文共计557个文字,预计阅读时间需要3分钟。

如何使用Ruby on Rails在Ruby中高效迭代处理CSV文件?

在Ruby中,你可以使用CSV库来处理CSV文件,并对其进行格式化。以下是一个简化的示例,展示了如何读取CSV文件并格式化数据:

rubyrequire 'csv'

读取CSV文件csv_text=File.read('data.csv')csv=CSV.parse(csv_text, headers: true)

格式化数据formatted_csv=csv.map do |row| # 假设你需要根据某些条件格式化数据 formatted_row=row.dup formatted_row['11']=Agriculture, Forestry, Fishing and Hunting if row['11'].include?('11') formatted_rowend

将格式化后的数据写入新的CSV文件CSV.open('formatted_data.csv', 'w') do |csv_out| csv_out <

这段代码首先读取名为`data.csv`的CSV文件,然后遍历每一行,对需要格式化的字段进行修改,最后将格式化后的数据写入到名为`formatted_data.csv`的新文件中。

我想在 ruby中打印出一个CSV文件,但我想将其格式化.有没有办法在层次结构意义上格式化数据?这是我需要经历的列表的一小部分:

,"11: Agriculture, Forestry, Fishing and Hunting",, ,,"111: Crop Production", ,,,"111110: Soybean Farming" ,,,"111120: Oilseed (except Soybean) Farming" ,,,"111130: Dry Pea and Bean Farming" ,,,"111140: Wheat Farming" ,,"112: Animal Production", ,,,"112111: Beef Cattle Ranching and Farming" ,,,"112112: Cattle Feedlots" ,,,"112120: Dairy Cattle and Milk Production" ,,,"112130: Dual-Purpose Cattle Ranching and Farming"

我的代码是:

require 'csv' col_data = [] CSV.foreach("primary_NAICS_code.txt") {|row| col_data << row} puts col_data

这只是打印出来的一切.它是一个数组中的数组吗?就像是:

CSV.foreach do |row| row.each do |line| puts line end end

任何帮助都会指引我朝着正确的方向前进.

如何使用Ruby on Rails在Ruby中高效迭代处理CSV文件?

我想获取格式化为这样的信息:

|_ <~~ row 1 column 1 | |__<~ row 1 column 2 | | |__<~row 2 column 2 | | | |__ | | | | |__ etc... | | | | | |__ 由于您的数据已经缩进,您只需转换/格式化它.这样的事情应该有效:

col_data.each do |row| indentation, (text,*) = row.slice_before(String).to_a puts indentation.fill("|").join(" ") + "_ " + text end

输出:

|_ 11: Agriculture, Forestry, Fishing and Hunting | |_ 111: Crop Production | | |_ 111110: Soybean Farming | | |_ 111120: Oilseed (except Soybean) Farming | | |_ 111130: Dry Pea and Bean Farming | | |_ 111140: Wheat Farming | |_ 112: Animal Production | | |_ 112111: Beef Cattle Ranching and Farming | | |_ 112112: Cattle Feedlots | | |_ 112120: Dairy Cattle and Milk Production | | |_ 112130: Dual-Purpose Cattle Ranching and Farming