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clouddrift.ragged.prune

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clouddrift.ragged.prune#

clouddrift.ragged.prune(ragged: list | ndarray | Series | DataArray, rowsize: list | ndarray | Series | DataArray, min_rowsize: float) → tuple[ndarray, ndarray][source]#

Within a ragged array, removes arrays less than a specified row size.

Parameters#

raggednp.ndarray or pd.Series or xr.DataArray

A ragged array.

rowsizelist or np.ndarray[int] or pd.Series or xr.DataArray[int]

The size of each row in the input ragged array.

min_rowsize :

The minimum row size that will be kept.

Returns#

tuple[np.ndarray, np.ndarray]

A tuple of ragged array and size of each row.

Examples#

>>> from clouddrift.ragged import prune
>>> import numpy as np
>>> prune(np.array([1, 2, 3, 0, -1, -2]), np.array([3, 1, 2]),2)
(array([ 1,  2,  3, -1, -2]), array([3, 2]))

Raises#

ValueError

If the sum of rowsize does not equal the length of arrays.

IndexError

If empty ragged.

See Also#

segment(), chunk

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