Numpy.datetime64datetime
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Numpy.datetime64datetime
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Aug 8 2010 nbsp 0183 32 I have a set of data and I want to compare which line describes it best polynomials of different orders exponential or logarithmic I use Python and Numpy and for polynomial Jun 12, 2012 · Note that numpy.delete() returns a new array since array scalars are immutable, similar to strings in Python, so each time a change is made to it, a new object is created.
Numpy.datetime64datetimeAug 19, 2010 · The OP asked to read directly to numpy array. Reading it as a dataframe and converting it to numpy array requires more storage and time. Numpy uses tuples as indexes In this case this is a detailed slice assignment 0 means line 0 of your matrix 0 0 means cell at 0 0 of your matrix 0 1 means lines 0 to 1 excluded of