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
# Python Programming illustrating# numpy.logspace methodimport numpy as geek# base = 11print("B\n", geek.logspace(2.0, 3.0, num=5, base = 11))# base = 10print("B\n", geek.logspace(2.0, 3.0, num=5))# base = 10, dtype = intprint("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
Python
# Graphical Representation of numpy.logspace()import numpy as geekimport pylab as p# Start = 0# End = 2# Samples to generate = 10x1 = geek.logspace(0, 1, 10)y1 = geek.zeros(10)# Start = 0.1# End = 1.5# Samples to generate = 12x2 = 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 :
