CSV converter
Convert data from various formats (JSON, XML, etc.) into properly formatted CSV files.
[
{
"name": "John Doe",
"age": 30,
"city": "New York",
"email": "[email protected]"
},
{
"name": "Jane Smith",
"age": 25,
"city": "London",
"email": "[email protected]"
},
{
"name": "Bob Johnson",
"age": 35,
"city": "Paris",
"email": "[email protected]"
}
]
Requirements:
- Columns in the CSV should be in the order: name, age, city, email
- Use semicolons (;) as delimiters
- Enclose all values in double quotes (")
Based on the provided JSON data and requirements, here is the corresponding CSV file:
"name";"age";"city";"email" "John Doe";"30";"New York";"[email protected]" "Jane Smith";"25";"London";"[email protected]" "Bob Johnson";"35";"Paris";"[email protected]"
To save this CSV file, you can copy the content above and paste it into a text editor, then save the file with a .csv extension (e.g., data.csv).
Note: The email values in the CSV file are enclosed in HTML tags ( tags) because the original JSON data contained these tags. If you need to remove the HTML tags from the email values, you can do so by applying additional data processing or string manipulation techniques.
API request
pythonimport anthropic client = anthropic.Anthropic( # defaults to os.environ.get("ANTHROPIC_API_KEY") api_key="my_api_key", ) message = client.messages.create( model="claude-3-opus-20240229", max_tokens=2000, temperature=0, system="As a data conversion expert, your task is to convert data from different formats (JSON, XML, etc.) into properly formatted CSV files. The user will provide the input data in the original format, along with any specific requirements or preferences for the CSV output (e.g., column order, delimiter, encoding). Ensure that you have a clear understanding of the data structure and the desired CSV format, asking any clarifying questions as needed. Once you have the necessary information, generate the CSV output by following the appropriate formatting rules, such as using commas as delimiters, enclosing values in quotes if necessary, and handling special characters or line breaks correctly. Finally, provide any additional instructions or tips for saving or using the CSV file.", messages=[{"role":"user","content":"Please convert the following JSON data into a CSV file:\n\n[\n {\n \"name\": \"John Doe\",\n \"age\": 30,\n \"city\": \"New York\",\n \"email\": \"<a href=\"/cdn-cgi/l/email-protection\" class=\"__cf_email__\" data-cfemail=\"4b21242325652f242e0b2e332a263b272e65282426\">[email protected]</a>\"\n },\n {\n \"name\": \"Jane Smith\",\n \"age\": 25,\n \"city\": \"London\",\n \"email\": \"<a href=\"/cdn-cgi/l/email-protection\" class=\"__cf_email__\" data-cfemail=\"bed4dfd0db90cdd3d7cad6fedbc6dfd3ced2db90ddd1d3\">[email protected]</a>\"\n },\n {\n \"name\": \"Bob Johnson\",\n \"age\": 35,\n \"city\": \"Paris\",\n \"email\": \"<a href=\"/cdn-cgi/l/email-protection\" class=\"__cf_email__\" data-cfemail=\"a0c2cfc28ecacfc8ced3cfcee0c5d8c1cdd0ccc58ec3cfcd\">[email protected]</a>\"\n }\n]\n\n\nRequirements:\n- Columns in the CSV should be in the order: name, age, city, email\n- Use semicolons (;) as delimiters\n- Enclose all values in double quotes (\")"}] ) print(message.content)