Hi, Le 14/01/2013 00:39, Nathaniel Smith a écrit : > (The nice thing about np.filled() is that it makes np.zeros() and > np.ones() feel like clutter, rather than the reverse... not that I'm > suggesting ever getting rid of them, but it makes the API conceptually > feel smaller, not larger.) Coming from the Matlab syntax, I feel that np.zeros and np.ones are in numpy for Matlab (and maybe others ?) compatibilty and are useful for that. Now that I've been "enlightened" by Python, I think that those functions (especially np.ones) are indeed clutter. Therefore I favor the introduction of these two new functions.
However, I think Eric's remark about masked array API compatibility is important. I don't know what other names are possible ? np.const ? Or maybe np.tile is also useful for that same purpose ? In that case adding a dtype argument to np.tile would be useful. best, Pierre
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