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# NumPy | finfo method

schedule Aug 12, 2023
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NumPy's `finfo(~)` method returns information about a particular NumPy float data type. Information includes the number of bits occupied by that data type, and the maximum and minimum limits of supported values.

# Parameters

1. `type` | `dtype`

The float data type or an instance of one to retrieve information about.

# Return value

A `<class 'numpy.finfo'>` object with key information such as:

• Minimum supported value of the provided float data type

• Maximum supported value of the provided float data type

• Precision of the provided float data type

# Examples

## Basic usage

To retrieve information on the `float32` data type:

``` np.finfo(np.float32) finfo(resolution=1e-06, min=-3.4028235e+38, max=3.4028235e+38, dtype=float32) ```

## min

To retrieve the minimum allowed value for `float32`:

``` np.finfo(np.float32).min -3.4028235e+38 ```

## max

To retrieve the maximum allowed value for `float32`:

``` np.finfo(np.float32).max 3.4028235e+38 ```

## precision

To retrieve the precision for `float32`:

``` np.finfo(np.float32).precision 6 ```

We can see that `float32` floats are precise to approximately 6 decimal places.

Published by Arthur Yanagisawa
Edited by 0 others
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