intake_io.util

Module Contents

Functions

get_axes(x: Any) → str

Get axis order given image, shape or number of dimensions.

get_spatial_axes(x: Any)

get_spacing(image: Union[xarray.Dataset, xarray.DataArray], axes: Optional[str] = None) → Union[Tuple[Optional[float], Ellipsis], Optional[float]]

Get pixel spacing of image or specific image axes.

get_spacing_units(image: Union[xarray.Dataset, xarray.DataArray], axes: Optional[str] = None) → Union[Tuple[Optional[str], Ellipsis], Optional[str]]

Get pixel spacing unit of image or specific image axes.

to_numpy(image: Union[xarray.Dataset, xarray.DataArray, numpy.ndarray]) → numpy.ndarray

Get pixel array of image.

to_xarray(image: Any, spacing: Union[Dict[str, Optional[float]], Tuple[Optional[float], Ellipsis], None] = None, axes: Optional[str] = None, coords: Optional[Dict[str, Any]] = None, spacing_units: Union[Dict[str, Optional[str]], Tuple[Optional[str], Ellipsis], None] = None, name: Optional[str] = None, attrs: Optional[Dict[str, Any]] = None, partition: Optional[Any] = None) → xarray.DataArray

Combine inputs to xarray.DataArray.

get_catalog(sources: Iterable[intake.source.DataSource], filepath: Optional[str] = None) → str

Get catalog yml of data sources.

partition_gen(image: Union[xarray.DataArray, xarray.Dataset], inner_axes: str, uri: str, multikey: bool = False, sep_outer: str = '.', sep_inner: str = '_') → Generator[Tuple[Union[xarray.DataArray, xarray.Dataset], str], None, None]

clean_yaml(data: Dict[str, Any], rename_to: Optional[str] = None) → Dict[str, Any]

Utility function to clean YAML representation of intake source.

intake_io.util.get_axes(x: Any) str

Get axis order given image, shape or number of dimensions.

Supported axes

Name

Dimension

i

image index

t

time

c

channel

z

z

y

y

x

x

Uses metadata where available (xarray data structures), otherwise assumes itczyx-ordering (intake_io default) using the last ndim axes. The only exception are 2D RGB images, which may be cyx or yxc.

Parameters

image

One of the following types:

Returns

Axis order, e.g. “tzyx”

intake_io.util.get_spatial_axes(x: Any)
intake_io.util.get_spacing(image: Union[xarray.Dataset, xarray.DataArray], axes: Optional[str] = None) Union[Tuple[Optional[float], Ellipsis], Optional[float]]

Get pixel spacing of image or specific image axes.

The return value for an axis without spacing metadata is either None or 1.0, depending on what format the image was loaded from. None is preferred.

Parameters
  • image – Image

  • axes – Specific axes and ordering, or None for all axes in image dim order.

Returns

Pixel spacing as tuple, or directly if a single axis is requested.

intake_io.util.get_spacing_units(image: Union[xarray.Dataset, xarray.DataArray], axes: Optional[str] = None) Union[Tuple[Optional[str], Ellipsis], Optional[str]]

Get pixel spacing unit of image or specific image axes.

The return value for an axis without spacing metadata is None.

Parameters
  • image – Image

  • axes – Specific axes and ordering, or None for all axes in image dim order.

Returns

Pixel spacing units as tuple, or directly if a single axis is requested.

intake_io.util.to_numpy(image: Union[xarray.Dataset, xarray.DataArray, numpy.ndarray]) numpy.ndarray

Get pixel array of image.

Parameters

image – Image

Returns

Array

intake_io.util.to_xarray(image: Any, spacing: Union[Dict[str, Optional[float]], Tuple[Optional[float], Ellipsis], None] = None, axes: Optional[str] = None, coords: Optional[Dict[str, Any]] = None, spacing_units: Union[Dict[str, Optional[str]], Tuple[Optional[str], Ellipsis], None] = None, name: Optional[str] = None, attrs: Optional[Dict[str, Any]] = None, partition: Optional[Any] = None) xarray.DataArray

Combine inputs to xarray.DataArray.

Preserve metadata where available and possible.

Parameters
  • image – The image.

  • spacing – Time resolution and pixel spacing, as dict (axes are keys) or tuple (in image axes order, ignoring the discontinuous axes “c” and “i”). Axes without pixel spacing metadata can be omitted (dict) or set to None (dict and tuple).

  • axes – The image axes, e.g. “tyz”.

  • coords – Axis coordinates for axes not covered by the spacing parameter (e.g. channel names), or to overwrite the spacing parameter with e.g. non-uniform spacing values.

  • spacing_units – Time resolution and pixel spacing units, as dict (axes are keys) or tuple (in image axes order, ignoring the discontinuous axes “c” and “i”). Axes without pixel spacing metadata can be omitted (dict) or set to None (dict and tuple).

  • name – Name

  • attrs – Additional metadata

  • partition – Partition

Returns

Image and any metadata

intake_io.util.get_catalog(sources: Iterable[intake.source.DataSource], filepath: Optional[str] = None) str

Get catalog yml of data sources.

Parameters
  • sources – Data sources

  • filepath – File path to save catalog to, or None if saving the result to file is not intended.

Returns

The yml text

intake_io.util.partition_gen(image: Union[xarray.DataArray, xarray.Dataset], inner_axes: str, uri: str, multikey: bool = False, sep_outer: str = '.', sep_inner: str = '_') Generator[Tuple[Union[xarray.DataArray, xarray.Dataset], str], None, None]
intake_io.util.clean_yaml(data: Dict[str, Any], rename_to: Optional[str] = None) Dict[str, Any]

Utility function to clean YAML representation of intake source.

Used during creation of YAML catalog from list of sources.

Parameters
  • data – Dict[str, Any]

  • rename_to – Optional[str]

Returns

Cleaned dict