---
title: csv.from() function
description: The `csv.from()` function retrieves data from a CSV data source.
aliases:
  - /v2.0/reference/flux/functions/inputs/fromcsv
  - /v2.0/reference/flux/functions/built-in/inputs/fromcsv
  - /v2.0/reference/flux/functions/csv/from/
menu:
  v2_0_ref:
    name: csv.from
    parent: CSV
weight: 202
---

The `csv.from()` function retrieves data from a comma-separated value (CSV) data source.
It returns a stream of tables.
Each unique series is contained within its own table.
Each record in the table represents a single point in the series.

_**Function type:** Input_

```js
import "csv"

csv.from(csv: csvData)

// OR

csv.from(file: "/path/to/data-file.csv")
```

## Parameters

### csv
Annotated CSV text.

{{% note %}}
CSV data must use Annotated CSV syntax and include all
[annotation rows](/v2.0/reference/syntax/annotated-csv/#annotations).
For more information, see [Annotated CSV](/v2.0/reference/syntax/annotated-csv/).
{{% /note %}}

_**Data type:** String_

### file
The file path of the CSV file to query.
The path can be absolute or relative.
If relative, it is relative to the working directory of the `fluxd` process.
_The CSV file must exist in the same file system running the `fluxd` process._

{{% warn %}}
**InfluxDB OSS** and **{{< cloud-name "short" >}}** user interfaces do _**not**_ support the `file` parameter.
Neither allow access to the underlying filesystem.
However, the [Flux REPL](/v2.0/reference/cli/influx/repl/) does support the `file` parameter.
{{% /warn %}}

_**Data type:** String_

## Examples

### Query CSV data from a file
```js
import "csv"

csv.from(file: "/path/to/data-file.csv")
```

### Query raw CSV-formatted text
```js
import "csv"

csvData = "
#datatype,string,long,dateTime:RFC3339,dateTime:RFC3339,dateTime:RFC3339,string,string,double
#group,false,false,false,false,false,false,false,false
#default,,,,,,,,
,result,table,_start,_stop,_time,region,host,_value
,mean,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:00Z,east,A,15.43
,mean,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:20Z,east,B,59.25
,mean,0,2018-05-08T20:50:00Z,2018-05-08T20:51:00Z,2018-05-08T20:50:40Z,east,C,52.62
"

csv.from(csv: csvData)
```