Dependencies

Datashape

The Datashape project is documented here.

Progressivis uses the following classes:

class progressivis.datashape.DataShape

Composite container for datashape elements.

Elements of a datashape like Fixed(3), Var() or int32 are on, on their own, valid datashapes. These elements are collected together into a composite DataShape to be complete.

This class is not intended to be used directly. Instead, use the utility dshape function to create datashapes from strings or datashape elements.

Examples

>>> from datashape import Fixed, int32, DataShape, dshape

>>> DataShape(Fixed(5), int32)  # Rare to DataShape directly
dshape("5 * int32")

>>> dshape('5 * int32')         # Instead use the dshape function
dshape("5 * int32")

>>> dshape([Fixed(5), int32])   # It can even do construction from elements
dshape("5 * int32")

See also

datashape.dshape

__init__(*parameters, **kwds)

subarray(leading)

Returns a data shape object of the subarray with ‘leading’ dimensions removed.

>>> from datashape import dshape
>>> dshape('1 * 2 * 3 * int32').subarray(1)
dshape("2 * 3 * int32")
>>> dshape('1 * 2 * 3 * int32').subarray(2)
dshape("3 * int32")