numpy.ma.compress_nd#

ma.compress_nd(x, axis=None)[source]#

Suppress slices from multiple dimensions which contain masked values.

Parameters:
xarray_like, MaskedArray

The array to operate on. If not a MaskedArray instance (or if no array elements are masked), x is interpreted as a MaskedArray with mask set to nomask.

axistuple of ints or int, optional

Which dimensions to suppress slices from can be configured with this parameter. - If axis is a tuple of ints, those are the axes to suppress slices from. - If axis is an int, then that is the only axis to suppress slices from. - If axis is None, all axis are selected.

Returns:
compress_arrayndarray

The compressed array.

Examples

>>> import numpy as np
>>> arr = [[1, 2], [3, 4]]
>>> mask = [[0, 1], [0, 0]]
>>> x = np.ma.array(arr, mask=mask)
>>> np.ma.compress_nd(x, axis=0)
array([[3, 4]])
>>> np.ma.compress_nd(x, axis=1)
array([[1],
       [3]])
>>> np.ma.compress_nd(x)
array([[3]])
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