punchbowl.level2.preprocess#

Functions#

`trim_edges`(→ None)	Trim the edges of the image, expanding the mask the same amount. Sets masked pixels to nan.
`_load_mask_wrapper`(→ numpy.ndarray)
`apply_masks`(→ None)	Apply image masks. Sets masked pixels to nan.
`apply_alpha`(→ None)	Apply alpha scalings.
`preprocess_trefoil_inputs`(→ None)	Preprocess trefoil inputs.

Module Contents#

punchbowl.level2.preprocess.trim_edges(data_list: list[ndcube.NDCube], trim_edge_px: int | list[int] = 0) → None[source]#: Trim the edges of the image, expanding the mask the same amount. Sets masked pixels to nan.

punchbowl.level2.preprocess._load_mask_wrapper(mask_path: str) → numpy.ndarray[source]#

punchbowl.level2.preprocess.apply_masks(data_list: list[ndcube.NDCube], mask_list: list[str | None]) → None[source]#: Apply image masks. Sets masked pixels to nan.

punchbowl.level2.preprocess.apply_alpha(data_list: list[ndcube.NDCube], alphas_file: str | None = None) → None[source]#: Apply alpha scalings.

punchbowl.level2.preprocess.preprocess_trefoil_inputs(data_list: list[ndcube.NDCube], mask_list: list[str | None], trim_edge_px: int = 0, alphas_file: str | None = None) → None[source]#: Preprocess trefoil inputs.