numpy.ma.compress_rows#

ma.compress_rows(a)[source]#

Suppress whole rows of a 2-D array that contain masked values.

This is equivalent to np.ma.compress_rowcols(a, 0), see compress_rowcols for details.

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. Must be a 2D array.

Returns:

compressed_arrayndarray

The compressed array.

See also

compress_rowcols

Examples

Try it in your browser!

>>> import numpy as np
>>> a = np.ma.array(np.arange(9).reshape(3, 3), mask=[[1, 0, 0],
...                                                   [1, 0, 0],
...                                                   [0, 0, 0]])
>>> np.ma.compress_rows(a)
array([[6, 7, 8]])

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