numpy.ma.compressed#
- ma.compressed(x)[source]#
Return all the non-masked data as a 1-D array.
This function is equivalent to calling the “compressed” method of a
ma.MaskedArray
, seema.MaskedArray.compressed
for details.See also
ma.MaskedArray.compressed
Equivalent method.
Examples
Create an array with negative values masked:
>>> import numpy as np >>> x = np.array([[1, -1, 0], [2, -1, 3], [7, 4, -1]]) >>> masked_x = np.ma.masked_array(x, mask=x < 0) >>> masked_x masked_array( data=[[1, --, 0], [2, --, 3], [7, 4, --]], mask=[[False, True, False], [False, True, False], [False, False, True]], fill_value=999999)
Compress the masked array into a 1-D array of non-masked values:
>>> np.ma.compressed(masked_x) array([1, 0, 2, 3, 7, 4])