Hi, I'm trying to generate random 64-bit integer values for integers and floats using Numpy, within the entire range of valid values for that type. To generate random 32-bit floats, I can use:
np.random.uniform(low=np.finfo(np.float32).min,high=np.finfo (np.float32).max,size=10) which gives for example array([ 1.47351436e+37, 9.93620693e+37, 2.22893053e+38, -3.33828977e+38, 1.08247781e+37, -8.37481260e+37, 2.64176554e+38, -2.72207226e+37, 2.54790459e+38, -2.47883866e+38]) but if I try and use this for 64-bit numbers, i.e. np.random.uniform(low=np.finfo(np.float64).min,high=np.finfo (np.float64).max,size=10) I get array([ Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf]) Similarly, for integers, I can successfully generate random 32-bit integers: np.random.random_integers(np.iinfo(np.int32).min,high=np.iinfo (np.int32).max,size=10) which gives array([-1506183689, 662982379, -1616890435, -1519456789, 1489753527, -604311122, 2034533014, 449680073, -444302414, -1924170329]) but am unsuccessful for 64-bit integers, i.e. np.random.random_integers(np.iinfo(np.int64).min,high=np.iinfo (np.int64).max,size=10) which produces the following error: OverflowError: long int too large to convert to int Is this expected behavior, or are these bugs? Thanks for any help, Thomas _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion