Hi, The below snippet will add few info:
>>> import numpy as np >>> np.logspace(2, 4, num=1, base=10) array([100.]) # Our result is 10**2 >>> np.logspace(2, 4, num=2, base=10) array([ 100., 10000.]) # Our result is 10**2, 10**3 >>> np.logspace(2, 4, num=3, base=10) array([ 100., 1000., 10000.]) # Our result is 10**2, 10**3, 10**4 >>> np.logspace(2, 4, num=4, base=10) array([ 100. , 464.15888336, 2154.43469003, 10000. ]) >>> np.linspace(2, 4, num=4) array([2. , 2.66666667, 3.33333333, 4. ]) >>> np.power(10, np.linspace(2, 4, num=4)) array([ 100. , 464.15888336, 2154.43469003, 10000. ]) ### Observation: ### np.power(10, np.linspace(2, 4, num=4)) is the same as np.logspace(2, 4, num=4, base=10). Hope this helps. regards, Rajeshkumar P On Tue, 6 Jul 2021 at 12:48, Nithya Duraisamy <nithyadura...@gmail.com> wrote: > > > > It’s because you are looking at log space. Try linspace if you want it > in between the numbers. > > > What is mean by log space? > > Where to read about that? > _______________________________________________ > Chennaipy mailing list > Chennaipy@python.org > https://mail.python.org/mailman/listinfo/chennaipy >
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