Il vous suffit de télécharger votre fichier CSV via le formulaire ci-dessous et il sera automatiquement converti en fichier YAML. Dans les options de l'outil, vous pouvez spécifier le caractère de délimitation de champ, le caractère de guillemet et le caractère de commentaire pour adapter l'outil aux formats CSV personnalisés. Vous pouvez également sélectionner le format YAML de sortie : préservant ou excluant les en-têtes CSV.
In this example, we transform a short CSV file containing a music playlist into structured YAML data. The input CSV contains five records with three columns each and the output YAML contains five lists of lists (one list for each CSV record). In YAML, lists start with the "-" symbol and the nested lists are indented with two spaces
The Beatles,"Yesterday",Pop Rock Queen,"Bohemian Rhapsody",Rock Nirvana,"Smells Like Teen Spirit",Grunge Michael Jackson,"Billie Jean",Pop Stevie Wonder,"Superstition",Funk
- - The Beatles - Yesterday - Pop Rock - - Queen - Bohemian Rhapsody - Rock - - Nirvana - Smells Like Teen Spirit - Grunge - - Michael Jackson - Billie Jean - Pop - - Stevie Wonder - Superstition - Funk
In this example, we are working with CSV data that summarizes key properties of three planets in our solar system. The data consists of three columns with headers "planet", "relative mass" (with "1" being the mass of earth), and "satellites". To preserve the header names in the output YAML data, we enable the "Transform Headers" option, creating a YAML file that contains a list of YAML objects, where each object has three keys: "planet", "relative mass", and "satellites".
planet,relative mass,satellites Venus,0.815,0 Earth,1.000,1 Mars,0.107,2
- planet: Venus relative mass: 0.815 satellites: '0' - planet: Earth relative mass: 1.000 satellites: '1' - planet: Mars relative mass: 0.107 satellites: '2'
In this example, we convert a CSV file with non-standard formatting into a regular YAML file. The input data uses a semicolon as a separator for the "product", "quantity", and "price" fields. It also contains empty lines and lines that are commented out. To make the program work with this custom CSV file, we input the semicolon symbol in the CSV delimiter options. To skip comments, we specify "#" as the symbol that starts comments. And to remove empty lines, we activate the option for skipping blank lines (that do not contain any symbols). In the output, we obtain a YAML file that contains a list of three objects, which use CSV headers as keys. Additionally, the objects in the YAML file are indented with four spaces.
item;quantity;price milk;2;3.50 #eggs;12;2.99 bread;1;4.25 #apples;4;1.99 cheese;1;8.99
- item: milk quantity: 2 price: 3.50 - item: bread quantity: 1 price: 4.25 - item: cheese quantity: 1 price: 8.99
Convertissez les données CSV au format JSON.
Convertissez les données CSV au format XML.
Convertissez les lignes CSV en colonnes.
Convertissez les données CSV au format TSV.
Réorganiser les colonnes CSV.
Modifier le délimiteur du fichier CSV
Trouvez rapidement les lignes et les colonnes dans CSV auxquelles il manque des valeurs.
Transposer rapidement un fichier CSV.
Insérez rapidement une ou plusieurs nouvelles colonnes n'importe où dans un fichier CSV.
Convertir le format TSV au format JSON