Hi, there has been a request on the issue tracker for a step parameter to linspace. This is of course tricky with the imprecision of floating point numbers. As a trade off, I was thinking of a step parameter that is used to calculate the integer number of steps. However to be certain that it never misbehaves, doing this strict up to the numerical precision of the (float) numbers. Effectively this means:
In [9]: np.linspace(0, 1.2, step=0.3) Out[9]: array([ 0. , 0.3, 0.6, 0.9, 1.2]) In [10]: np.linspace(0, 1.2+5-5, step=0.3) Out[10]: array([ 0. , 0.3, 0.6, 0.9, 1.2]) In [11]: np.linspace(0, 1.2+500-500, step=0.3) ValueError: could not determine exact number of samples for given step I.e. the last fails, because 1.2 + 500 - 500 == 1.1999999999999886, which is an error that is larger then the imprecision of floating point numbers. Is this considered useful, or as it can easily fail for calculated numbers, and is thus only a convenience, it is not? Regards, Sebastian _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
