numpy.logspace() in Python

About :
numpy.logspace(start, stop, num = 50, endpoint = True, base = 10.0, dtype = None) : Returns number spaces evenly w.r.t interval on a log scale.
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()



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# 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))

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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











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# Graphical Represenation 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') 



















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Output :




Note : 

These NumPy-Python programs won’t run on onlineID, so run them on your systems to explore them


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