parseCSV
To return a structured list or array of rows and data from specified CSV text
The parseCSV
function parses CSV-formatted text into a structured list or array. You can customize parsing behavior by setting headers, separators, and text quote characters.
Syntax
parseCSV(string, json)
Parameters
- data (string): The CSV text input. Example:
"Name,Age\nKiran,42\nLisa,27"
- options (JSON object): Optional configuration, with the following properties:
- firstLineIsHeader:
boolean
, default isfalse
. Iftrue
, the first line is treated as column headers. - separator:
string
. Sets the delimiter between fields, such as","
or";"
. Auto-detects if not specified. - textQuote:
string
. Specifies the character used to quote text fields. Default is"
(double quotes).
- firstLineIsHeader:
Return
JSON: A list or an array of JSON objects, with keys from the header if firstLineIsHeader
is true
.
[text]: A list or an array of text arrays (rows), if firstLineIsHeader
is false
.
Examples
1. Default firstLineIsHeader=false
Example:
parseCSV("Name,Age
Kiran,42
Lisa,27", {})
Or explicitly set firstLineIsHeader
to false
:
parseCSV("Name,Age
Kiran,42
Lisa,27", {firstLineIsHeader: false})
Result:
[
["Name", "Age"],
["Kiran", "42"],
["Lisa", "27"]
]
2. Using firstLineIsHeader=true
Example:
parseCSV("Name,Age
Kiran,42
Lisa,27", {firstLineIsHeader: true})
Result:
[
{
Name: "Kiran",
Age: "42"
},
{
Name: "Lisa",
Age: "27"
},
]
3. Custom separator
Note: If no
separator
is specified,parseCSV
will auto-detect a common delimiter like commas or tabs based on the input structure.
Example:
parseCSV("Name;Age
Kiran;42
Lisa;27", {separator: ";", firstLineIsHeader: true})
Result:
[
{
Name: "Kiran",
Age: "42"
},
{
Name: "Lisa",
Age: "27"
},
]
4. Specifying textQuote
Note: Use
textQuote
to specify a character for quoting fields. It's optional to quote every field;parseCSV
will still correctly read unquoted fields.
In this example, text fields are quoted with single quotes.
Example:
parseCSV("Name,Age
Kiran,42
'Lisa',27", {firstLineIsHeader: true})
Result:
[
{
Name: "Kiran",
Age: "42"
},
{
Name: "'Lisa'",
Age: "27"
},
]
5. Using custom textQuote
character
You can set a textQuote
character, such as a single quote ('
), to handle fields with quoted text specifically.
Example:
parseCSV("Name,Age
Kiran,42
'Lisa',27", {textQuote: "'", firstLineIsHeader: true})
Result:
[
{
Name: "Kiran",
Age: "42"
},
{
Name: "Lisa",
Age: "27"
},
]
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