The numpy.logspace() function returns number spaces evenly w.r.t interval on a log scale. 
Syntax : 
 

numpy.logspace(start,
               stop,
               num = 50,
               endpoint = True,
               base = 10.0,
               dtype = None)

Parameters : 

-> start    : [float] start(base ** start) of interval range.
-> stop     : [float] end(base ** stop) of interval range
-> endpoint : [boolean, optional]If True, stop is the last sample. By default, True
-> num      : [int, optional] No. of samples to generate
-> base     : [float, optional] Base of log scale. By default, equals 10.0
-> dtype    : type of output array

Return : 
 

-> ndarray

Code 1 : Explaining the use of logspace() 
 

# Python Programming illustrating
# numpy.logspace method

import numpy as geek

# base = 11
print("B\n", geek.logspace(2.0, 3.0, num=5, base = 11))

# base = 10
print("B\n", geek.logspace(2.0, 3.0, num=5))

# base = 10, dtype = int
print("B\n", geek.logspace(2.0, 3.0, num=5, dtype = int))

Output : 
 

B
 [  121.           220.36039471   401.31159963   730.8527479   1331.        ]
B
 [  100.           177.827941     316.22776602   562.34132519  1000.        ]
B
 [ 100  177  316  562 1000]

Code 2 : Graphical Representation of numpy.logspace() using matplotlib module - pylab 
 

# Graphical Representation of numpy.logspace()
import numpy as geek
import pylab as p

# Start = 0
# End = 2
# Samples to generate = 10
x1 = geek.logspace(0, 1, 10)
y1 = geek.zeros(10)

# Start = 0.1
# End = 1.5
# Samples to generate = 12
x2 = geek.logspace(0.1, 1.5, 12)
y2 = geek.zeros(12)

p.plot(x1, y1+0.05, 'o')
p.xlim(-0.2, 18)
p.ylim(-0.5, 1)
p.plot(x2, y2, 'x')

Output : 
 

Note : 
These NumPy-Python programs won’t run on online IDE's, so run them on your systems to explore them
Similar methods : 
 

• arange
• linspace