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# numpy.logspace () in Python

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numpy.logspace (start, stop, num = 50, endpoint = True, base = 10.0, dtype = None): returns numeric spaces evenly across the 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 ()

 ` # Python Programming Illustrative ` ` # numpy.logspace method ` ` `  ` import ` ` numpy as geek `   ` # base = 11 ` ` print ` ` (` ` "B" ` `, geek.logspace (` ` 2.0 ` `, ` ` 3.0 ` `, num ` ` = ` ` 5 ` `, base ` ` = ` ` 11 ` `)) ` ` `  ` # base = 10 ` ` print ` ` (` ` "B" ` `, geek.logspace (` ` 2.0 ` `, ` ` 3.0 ` `, num ` ` = ` ` 5 ` `)) `   ` # base = 10, dtype = int ` ` print ` ` (` ` "B" ` `, geek.logspace (` ` 2.0 ` `, ` ` 3.0 ` `, num ` ` = ` ` 5 ` `, dtype ` ` = ` ` int ` `)) `

Exit :

` 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: Plotting numpy.logspace () using the 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:

Notes:
These programs are NumPy- Python won’t work by onlineID, so run them on your systems to learn them

Similar methods:

• arange
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