navis.nbl.smat.Digitizer¶

class navis.nbl.smat.Digitizer(boundaries, clip=(True, True), right=False)[source]¶

Class converting continuous values into discrete indices.

Parameters:

boundaries (Sequence[float]) – N boundaries specifying N-1 bins. Must be monotonically increasing.
clip (Tuple[bool, bool], optional) – Whether to set the bottom and top boundaries to -infinity and infinity respectively, effectively clipping incoming values: by default (True, True). False means “add a new bin for out-of-range values”.
right (bool, optional) – Whether bins should include their right (rather than left) boundary, by default False.

__init__(boundaries, clip=(True, True), right=False)[source]¶

Class converting continuous values into discrete indices.

Parameters:

boundaries (Sequence[float]) – N boundaries specifying N-1 bins. Must be monotonically increasing.
clip (Tuple[bool, bool], optional) – Whether to set the bottom and top boundaries to -infinity and infinity respectively, effectively clipping incoming values: by default (True, True). False means “add a new bin for out-of-range values”.
right (bool, optional) – Whether bins should include their right (rather than left) boundary, by default False.

Methods

`__init__`(boundaries[, clip, right])	Class converting continuous values into discrete indices.
`from_data`(data, nbins[, right, method])	Choose digitizer boundaries to evenly partition the given values.
`from_geom`(lowest_upper, highest_lower, nbins)	Choose digitizer boundaries in a geometric sequence.
`from_linear`(lower, upper, nbins[, right])	Choose digitizer boundaries spaced linearly between two values.
`from_strings`(interval_strs)	Set digitizer boundaries based on a sequence of interval expressions.
`to_strings`([round])	Turn boundaries into list of labels.