# NiBabel

### Access a cacophony of neuro-imaging file formats

# `dft`

DICOM filesystem tools

`CachingError` | error while caching
`DFTError` | base class for DFT exceptions
`InstanceStackError`(series, i, si) | bad series of instance numbers
`VolumeError` | unsupported volume parameter
`clear_cache`() |
`get_studies`([base_dir, followlinks]) |
`update_cache`(base_dir[, followlinks]) |

## `CachingError`

class nibabel.dft.CachingError

  Bases: `DFTError`

  error while caching

  __init__(*args, **kwargs)

## `DFTError`

class nibabel.dft.DFTError

  Bases: `Exception`

  base class for DFT exceptions

  __init__(*args, **kwargs)

## `InstanceStackError`

class nibabel.dft.InstanceStackError(series, i, si)

  Bases: `DFTError`

  bad series of instance numbers

  __init__(series, i, si)

## `VolumeError`

class nibabel.dft.VolumeError

  Bases: `DFTError`

  unsupported volume parameter

  __init__(*args, **kwargs)

## clear_cache

nibabel.dft.clear_cache()

## get_studies

nibabel.dft.get_studies(base_dir=None, followlinks=False)

## update_cache

nibabel.dft.update_cache(base_dir, followlinks=False)