# Work with floats

A float type represents a IEEE-754 64-bit floating-point number.

Type name: `float`

## Float syntax

A float literal contains a decimal integer, a decimal point, and a decimal fraction.

``````0.0
123.4
-123.456
``````

### Scientific notation

Flux does not support scientific notation float literal syntax. However, you can use `float()` to convert a scientific notation string into a float type.

``````1.23456e+78
// Error: error @1:8-1:9: undefined identifier e

float(v: "1.23456e+78")
// Returns 1.23456e+78 (float)
``````

### Infinity

Flux does not support infinite float literal syntax (`+Inf` and `-Inf`). However, you can use `float()` to convert a infinite string into a float type.

``````+Inf
// Error: error @1:2-1:5: undefined identifier Inf

float(v: "+Inf")
// Returns +Inf (float)
``````

### Not a Number

Flux does not support Not a Number (NaN) float literal syntax. However, you can use `float()` to convert a NaN string into a float type.

``````NaN
// Error: error @1:2-1:5: undefined identifier NaN

float(v: "NaN")
// Returns NaN (float)
``````

## Convert data types to floats

Use the `float()` function to convert the following basic types to floats:

• string: must be a numeric string or scientific notation
• bool: `true` converts to `1.0`, `false` converts to `0.0`
• int
• uint
``````float(v: "1.23")
// 1.23

float(v: true)
// Returns 1.0

float(v: 123)
// Returns 123.0
``````

### Convert columns to floats

Flux lets you iterate over rows in a stream of tables and convert columns to floats.

To convert the `_value` column to floats, use the `toFloat()` function.

`toFloat()` only operates on the `_value` column.

``````data
|> toFloat()
``````
##### Given the following input data:
_time_value (int)
2021-01-01T00:00:00Z10
2021-01-01T02:00:00Z20
2021-01-01T03:00:00Z30
2021-01-01T04:00:00Z40
##### The example above returns:
_time_value (float)
2021-01-01T00:00:00Z10.0
2021-01-01T02:00:00Z20.0
2021-01-01T03:00:00Z30.0
2021-01-01T04:00:00Z40.0

To convert any column to floats:

1. Use `map()` to iterate over and rewrite rows.
2. Use `float()` to convert columns values to floats.
``````data
|> map(fn: (r) => ({ r with index: float(v: r.index) }))
``````
##### Given the following input data:
_timeindex (int)
2021-01-01T00:00:00Z1
2021-01-01T02:00:00Z2
2021-01-01T03:00:00Z3
2021-01-01T04:00:00Z4
##### The example above returns:
_timeindex (float)
2021-01-01T00:00:00Z1.0
2021-01-01T02:00:00Z2.0
2021-01-01T03:00:00Z3.0
2021-01-01T04:00:00Z4.0

## Operate on floats

### Perform arithmetic operations on floats

To perform operations like adding, subtracting, multiplying, or dividing float values, use Flux arithmetic operators. Operands must be the same type.

``````1.23 + 45.67
// Returns 46.9

1.23 - 45.67
// Returns -44.440000000000005

float(v: "12345e+67") * 100.0
// Returns 1.2345000000000001e+73

144.0 / 12.0
// Returns 12.0

10.0 ^ 2.0
// Returns 100.0
``````

#### Inherent rounding errors in floating-point arithmetic

To fit an infinite number of real values into a finite number of bits, computer systems must round floating-point values in arithmetic operations. This results in small rounding errors in some operations.

### Compare float values

Use Flux comparison operators to compare float values. Operands must be the same type. The operation returns a float.

``````12345600.0 == float(v: "1.23456e+07")
// Returns true

1.2 > -2.1
// Returns true
``````

### Round float values

1. Import the `math` package.
2. Use `math.round()` to round to the nearest whole number.
``````import "math"

math.round(x: 1.54)
// Returns 2.0
``````

### Flux math package

Use the `math` package to perform operations on float values.

### Introducing InfluxDB Clustered

A highly available InfluxDB 3.0 cluster on your own infrastructure.

InfluxDB Clustered is a highly available InfluxDB 3.0 cluster built for high write and query workloads on your own infrastructure.

InfluxDB Clustered is currently in limited availability and is only available to a limited group of InfluxData customers. If interested in being part of the limited access group, please contact the InfluxData Sales team.

### The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Flux is going into maintenance mode and will not be supported in InfluxDB 3.0. This was a decision based on the broad demand for SQL and the continued growth and adoption of InfluxQL. We are continuing to support Flux for users in 1.x and 2.x so you can continue using it with no changes to your code. If you are interested in transitioning to InfluxDB 3.0 and want to future-proof your code, we suggest using InfluxQL.

For information about the future of Flux, see the following:

### State of the InfluxDB Cloud Serverless documentation

InfluxDB Cloud Serverless documentation is a work in progress.

The new documentation for InfluxDB Cloud Serverless is a work in progress. We are adding new information and content almost daily. Thank you for your patience!

If there is specific information you’re looking for, please submit a documentation issue.