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# nipype.interfaces.dipy.anisotropic_power module

## APMQball

Link to code

> Bases: DipyDiffusionInterface

> Calculates the anisotropic power map

> Example

>     >>> import nipype.interfaces.dipy as dipy
>     >>> apm = dipy.APMQball()
>     >>> apm.inputs.in_file = 'diffusion.nii'
>     >>> apm.inputs.in_bvec = 'bvecs'
>     >>> apm.inputs.in_bval = 'bvals'
>     >>> apm.run()

> in_bvala pathlike object or string representing an existing file

>   Input b-values table.

> in_bveca pathlike object or string representing an existing file

>   Input b-vectors table.

> in_filea pathlike object or string representing an existing file

>   Input diffusion data.

> b0_thresan integer

>   B0 threshold. (Nipype default value: `700`)

> mask_filea pathlike object or string representing an existing file

>   An optional brain mask.

> out_prefixa string

>   Output prefix for file names.

> out_file : a pathlike object or string representing an existing file