numpy_notes
dtype
% ipython Python 3.8.5 (default, Sep 4 2020, 07:30:14) IPython 7.18.1 -- An enhanced Interactive Python. Type '?' for help. In [1]: import numpy as np a = np.array([1, 50, 100, 150, 200, 250, 300]) b = np.array([1, 50, 100, 150, 200, 250, 300], dtype=float) In [2]: a Out[2]: array([ 1, 50, 100, 150, 200, 250, 300]) In [3]: b Out[3]: array([ 1., 50., 100., 150., 200., 250., 300.]) In [4]: a.dtype Out[4]: dtype('int64') In [5]: b.dtype Out[5]: dtype('float64')
SO links I came across
- https://stackoverflow.com/questions/59105921/why-is-numpy-random-seed-not-remaining-fixed-but-randomstate-is-when-run-in-para - Why is numpy random seed not remaining fixed but RandomState is when run in parallel?
→ has sample code to reproduce the problem.
numpy_notes.txt · Last modified: 2021/05/07 14:36 by raju