I'm a bit of an ma newbie. I have a 2D masked array R and want to extract the non-masked values in the last column. Below I use logical indexing, but I suspect there is a "built-in" way w/ masked arrays. I read through the docstring, but didn't see anything better. In [66]: c = R[:,-1] In [67]: m = R.mask[:,-1] In [69]: c[m==0] Out[69]: array(data = [ 0.94202899 0.51839465 0.24080268 0.26198439 0.29877369 2.06856187 0.91415831 0.64994426 0.96544036 1.11259755 2.53623188 0.71571906 0.18394649 0.78037904 0.60869565 3.56744705 0.44147157 0.07692308 0.27090301 0.16610925 0.57068004 0.80267559 0.57636566 0.23634337 1.9509476 0.50761427 0.09587514 0.45039019 0.14381271 0.69007804 2.44481605 0.2909699 0.45930881 1.37123746 2.00668896 3.1638796 1.0735786 1.06800446 0.18952062 1.55964326 1.16833891 0.17502787 1.16610925 0.85507246 0.42140468 0.04236343 1.01337793 0.22853958 1.76365663 1.78372352 0.96209588 0.73578595 0.94760312 1.59531773 0.88963211], mask = [False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False], fill_value=1e+20)
On Wednesday 31 May 2006 10:25, John Hunter wrote:
I'm a bit of an ma newbie. I have a 2D masked array R and want to extract the non-masked values in the last column. Below I use logical indexing, but I suspect there is a "built-in" way w/ masked arrays. I read through the docstring, but didn't see anything better.
R[:,-1].compressed() should do the trick.
John, you want c.compressed(). John Hunter wrote:
I'm a bit of an ma newbie. I have a 2D masked array R and want to extract the non-masked values in the last column. Below I use logical indexing, but I suspect there is a "built-in" way w/ masked arrays. I read through the docstring, but didn't see anything better.
In [66]: c = R[:,-1]
In [67]: m = R.mask[:,-1]
In [69]: c[m==0] Out[69]: array(data = [ 0.94202899 0.51839465 0.24080268 0.26198439 0.29877369 2.06856187 0.91415831 0.64994426 0.96544036 1.11259755 2.53623188 0.71571906 0.18394649 0.78037904 0.60869565 3.56744705 0.44147157 0.07692308 0.27090301 0.16610925 0.57068004 0.80267559 0.57636566 0.23634337 1.9509476 0.50761427 0.09587514 0.45039019 0.14381271 0.69007804 2.44481605 0.2909699 0.45930881 1.37123746 2.00668896 3.1638796 1.0735786 1.06800446 0.18952062 1.55964326 1.16833891 0.17502787 1.16610925 0.85507246 0.42140468 0.04236343 1.01337793 0.22853958 1.76365663 1.78372352 0.96209588 0.73578595 0.94760312 1.59531773 0.88963211], mask = [False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False], fill_value=1e+20)
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John Hunter wrote:
I read through the docstring, but didn't see anything better.
Andrew Straw writes:
John, you want c.compressed().
I've also found the old Numeric documentation to be helpful: http://numeric.scipy.org/numpydoc/numpy-22.html regards, Phil
participants (4)
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Andrew Straw -
John Hunter -
Philip Austin -
Pierre GM