Return all the non-masked data as a 1-D array.
This function is equivalent to calling the “compressed” method of a ma.MaskedArray, see ma.MaskedArray.compressed for details.
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])
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