numpy.logspace() in Python

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() 
 

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 
 

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