csv

CSV Library

A robust CSV (Comma-Separated Values) parser and stringifier for EZ, fully supporting RFC 4180 rules, including:

• Commas inside fields
• Newlines inside fields
• Escaped quotes ("")

Installation

This library is included in the standard ezlib packages. Import it via:

use "csv"

Functions

parse(csvString)

Converts a CSV string into an Array of Dicts. The first row of the CSV is used as the keys for each dictionary.

dataStr = "name,age\nAlice,30\nBob,25"
rows = csv.parse(dataStr)
out rows[0]["name"] # "Alice"

stringify(dataArray)

Converts an Array of Dicts back into a CSV string. Automatically escapes fields that contain quotes, commas, or newlines.

data = [
    { "name": "Alice", "quote": "She said, \"Hello!\"" },
    { "name": "Bob", "quote": "No quote" }
]
csvStr = csv.stringify(data)
# name,quote
# Alice,"She said, ""Hello!"""
# Bob,No quote

read(filePath)

Reads a CSV file directly from disk and parses it into an Array of Dicts.

data = csv.read("data.csv")

write(filePath, dataArray)

Writes an Array of Dicts directly to a CSV file.

success = csv.write("output.csv", data)