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author | Alexander Blinne <alexander.blinne@uni-jena.de> | 2019-05-21 19:02:35 +0200 |
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committer | Sebastian Berg <sebastian@sipsolutions.net> | 2019-05-21 10:02:35 -0700 |
commit | 504b287bdf4745256044f336f17c88ddcb0175dd (patch) | |
tree | f336cec06e07f439ff619632b75f11ab9ada3f10 /numpy/core/fromnumeric.py | |
parent | 73e545e8ab277c2baef7c025b1df21496ccce7c1 (diff) | |
download | numpy-504b287bdf4745256044f336f17c88ddcb0175dd.tar.gz |
ENH: Add sparse option to np.core.numeric.indices (#13506)
This adds a sparse keyword-option to np.core.numeric.indices. This is inspired by the same option in the np.meshgrid function.
The same functionality can in principle already be achieved by using the np.ogrid index tricks like this:
def indices_sparse(dimensions):
return np.ogrid[tuple(slice(0, l) for l in dimensions)]
However, the implementation of ogrid is much more complicated than the simple change to np.core.numeric.indices in this PR (gh-13506).
Diffstat (limited to 'numpy/core/fromnumeric.py')
0 files changed, 0 insertions, 0 deletions