numpy.ma.compress_rowcols¶
- numpy.ma.compress_rowcols(x, axis=None)[source]¶
Suppress the rows and/or columns of a 2-D array that contain masked values.
The suppression behavior is selected with the axis parameter.
- If axis is None, both rows and columns are suppressed.
- If axis is 0, only rows are suppressed.
- If axis is 1 or -1, only columns are suppressed.
Parameters: x : array_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.
axis : int, optional
Axis along which to perform the operation. Default is None.
Returns: compressed_array : ndarray
The compressed array.
Examples
>>> x = np.ma.array(np.arange(9).reshape(3, 3), mask=[[1, 0, 0], ... [1, 0, 0], ... [0, 0, 0]]) >>> x masked_array(data = [[-- 1 2] [-- 4 5] [6 7 8]], mask = [[ True False False] [ True False False] [False False False]], fill_value = 999999)
>>> np.ma.compress_rowcols(x) array([[7, 8]]) >>> np.ma.compress_rowcols(x, 0) array([[6, 7, 8]]) >>> np.ma.compress_rowcols(x, 1) array([[1, 2], [4, 5], [7, 8]])