csv-toolkit
v3.0.0
Published
Parse and write CSV files efficiently via an intuitive API
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CSVToolkit
Parse and write CSV files efficiently with an intuitive API.
Installation
$ npm install csv-toolkit
Quick Start
Parsing CSV files
Let's say you have a CSV file, data.csv
, with this structure:
Name,Ranking,Height
Jason,110,1.65
Derek,55,1.45
Anne,63,1.34
Parsing the CSV file:
const CSVToolkit = require("csv-toolkit")
CSVToolkit.parseFile("./data.csv"))
.then(data => console.log("Player #0 rank:", data[0].Ranking))
Writing CSV files
CSVToolkit enables you to convert arrays of JavaScript objects into CSV files with a reasonable degree of flexibility.
const CSVToolkit = require("csv-toolkit")
const myData = [
{
name: "Will",
language: "JavaScript",
"Favorite Color": "Teal"
},
{
name: "Derek",
language: "English",
"Favorite Color": "Blue"
}
]
// write our data to disk as a CSV
CSVToolkit.serializeAndWrite("./ouput.csv", {
fields: [ "language", "name" ]
}).then((csvString) => console.log("CSV saved! Great job!"))
This would output the following CSV:
language,name
JavaScript,Will
English,Derek
Documentation
CSVToolkit.parse(string
,options?
)
Parameters
string
a CSV string from which data will be extracted,
options
is an (optional) object which allows you to specify the delimiting strings:
{
fieldDelimiter: (String, this string seperates values in the CSV; Default: ","),
rowDelimiter: (String, this string seperates rows in the CSV; Default: "\n"),
headerDelimiter: (String, this string seperates header/column names in the CSV; Default: ",")
}
Note: if you specify fieldDelimiter
this value will also be used for the headerDelimiter
if the headerDelimiter
has not been specified.
Returns: an array
of row objects.
CSVToolkit.parseFile(path
,options?
)
path
path from which the CSV will be read,
options
is an (optional) object which allows you to specify the delimiting strings:
{
fieldDelimiter: (String, this string seperates values in the CSV; Default: ','),
rowDelimiter: (String, this string seperates rows in the CSV; Default: '\n'),
headerDelimiter: (String, this string seperates header/column names in the CSV; Default: ','),
}
Note: if you specify fieldDelimiter
this value will also be used for the headerDelimiter
if the headerDelimiter
has not been specified.
Returns: a promise
which resolves to an array
of row objects.
CSVToolkit.serialize(data
,options?
)
data
the object to be converted,
options
an (optional) object used to control the string output:
{
prepend: (String, prepend this string to the output),
fields: (String (comma seperated) or Array, a list of fields, order is preserved),
fieldDelimiter: (String, this string seperates values in the CSV; Default: ","),
rowDelimiter: (String, this string seperates rows in the CSV; Default: "\n"),
headerDelimiter: (String, this string seperates header/column names in the CSV; Default: ",")
}
Note: if you specify fieldDelimiter
this value will also be used for the headerDelimiter
if the headerDelimiter
has not been specified.
Returns: a csv string, or an Error
if serialization fails.
CSVToolkit.serializeAndWrite(data
,outputPath
,options?
)
data
the array of rows to be converted and written to CSV
outputPath
path to which the CSV will be written
options
an (optional) object used to control the CSV output file:
{
prepend: (String, prepend this string to the CSV file),
fields: (A comma-delimited String, or an Array. A list of fields, order is preserved),
fieldDelimiter: (String, this string seperates values in the CSV; Default: ","),
rowDelimiter: (String, this string seperates rows in the CSV; Default: "\n"),
headerDelimiter: (String, this string seperates header/column names in the CSV; Default: ",")
}
Note: if you specify fieldDelimiter
this value will also be used for the headerDelimiter
if the headerDelimiter
has not been specified!
Returns: a promise which resolves after the file has been written, with the csv string.
Bug Reports, Improvements
Please open a new issue on this package's GitHub Repository Issue Page.
License
This package uses the ISC License
.
If this package saved you time, money, or effort, please consider adding somewhere Thanks to Will Brickner for CSVToolkit
. I worked hard on it and gave it to you for free.
DISCLAIMER
THIS SOFTWARE IS PROVIDED "AS IS" AND ANY EXPRESSED OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.