只需在下方表单中上传您的 CSV 文件，指定要交换的列，该工具就会自动更改输出文件中指定列的位置。在工具选项中，您可以指定要交换的列位置或名称，还可以修复不完整的数据，并选择性地删除空记录和已注释掉的记录。
此工具通过交换列的位置来重新组织 CSV 数据。交换列可以将常用数据放在一起或放在最前面，以便于数据比较和编辑，从而提高 CSV 文件的可读性。例如，您可以将第一列与最后一列交换，或者将第二列与第三列交换。要根据列的位置交换列，请选择
Fill incomplete CSV data with empty symbols or a custom symbol.
In this example, we use our CSV column swapping tool to bring the most important information to the first column. As we are planning to go on vacation soon, in the input of the tool, we load data about national parks that include their names and locations. To decide, which is the closest park to us, we need to see the parks location first, therefore, we swap the first and second data columns so that the "location" column is at the beginning of the CSV data.
park_name,location Yellowstone,Wyoming Yosemite,California Grand Canyon,Arizona Rocky Mountain,Colorado Zion Park,Utah
location,park_name Wyoming,Yellowstone California,Yosemite Arizona,Grand Canyon Colorado,Rocky Mountain Utah,Zion Park
Fill incomplete CSV data with empty symbols or a custom symbol.
In this example, a lab intern made a mistake and created a corrupted CSV file with mixed-up columns and missing data. To fix the file, we swap the columns based on the headers "Vitamin" and "Function" so that the "Vitamin" column becomes the first in the output data. We also fill the incomplete CSV data by adding a custom asterisk "*" symbol in place of missing values.
Function,Fat-Soluble,Vitamin,Sources Supports vision,Fat-Soluble,A,Carrots Immune function,Water-Soluble,C,Citrus fruits Bone health,Fat-Soluble,D,Fatty fish Antioxidant,Fat-Soluble,E,Nuts Blood clotting,Fat-Soluble,K,Leafy greens Energy production,Water-Soluble,B1 Energy production,Water-Soluble,B2 Energy production,Water-Soluble,B3,Meat Protein metabolism,Water-Soluble,B6,Poultry Nervous system,Water-Soluble,B12,Meat
Vitamin,Fat-Soluble,Function,Sources A,Fat-Soluble,Supports vision,Carrots C,Water-Soluble,Immune function,Citrus fruits D,Fat-Soluble,Bone health,Fatty fish E,Fat-Soluble,Antioxidant,Nuts K,Fat-Soluble,Blood clotting,Leafy greens B1,Water-Soluble,Energy production,* B2,Water-Soluble,Energy production,* B3,Water-Soluble,Energy production,Meat B6,Water-Soluble,Protein metabolism,Poultry B12,Water-Soluble,Nervous system,Meat
Header of the first column you want to swap.
Header of the second column you want to swap.
Fill incomplete CSV data with empty symbols or a custom symbol.
In this example, we change the order of columns in a CSV dataset to have the columns essential for analysis adjacent to each other. We match the "ScreenSize" column by its name and place it in the second-to-last position "-2". This groups the "ScreenSize" and "Price" columns together, allowing us to easily compare and choose the phone we want to buy. We also remove empty lines and specify that lines starting with the "#" symbol are comments and should be left as is.
Brand,Model,ScreenSize,OS,Price Apple,iPhone 15 Pro Max,6.7″,iOS,$1299 Samsung,Galaxy S23 Ultra,6.8″,Android,$1199 Google,Pixel 7 Pro,6.4″,Android,$899 #OnePlus,11 Pro,6.7″,Android,$949 Xiaomi,13 Ultra,6.6″,Android,$849
Brand,Model,OS,ScreenSize,Price Apple,iPhone 15 Pro Max,iOS,6.7″,$1299 Samsung,Galaxy S23 Ultra,Android,6.8″,$1199 Google,Pixel 7 Pro,Android,6.4″,$899 Xiaomi,13 Ultra,Android,6.6″,$849
Header of the first column you want to swap.
Fill incomplete CSV data with empty symbols or a custom symbol.