numpy.linspace() in Python – GeeksforGeeks

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The numpy.linspace() function returns number spaces evenly w.r.t interval. Similar to numpy.arange() function but instead of step it uses sample number. 
Syntax : 
 

numpy.linspace(start,
               stop,
               num = 50,
               endpoint = True,
               retstep = False,
               dtype = None)

Parameters : 

-> start  : [optional] start of interval range. By default start = 0
-> stop   : end of interval range
-> restep : If True, return (samples, step). By default restep = False
-> num    : [int, optional] No. of samples to generate
-> dtype  : type of output array

Return : 
 

-> ndarray
-> step : [float, optional], if restep = True

Code 1 : Explaining linspace function 
 

Tóm Tắt

Python




 

import numpy as geek

 

print("B\n", geek.linspace(2.0, 3.0, num=5, retstep=True), "\n")

 

x = geek.linspace(0, 2, 10)

print("A\n", geek.sin(x))







Output : 


B
 (array([ 2.  ,  2.25,  2.5 ,  2.75,  3.  ]), 0.25)

A
 [ 0.          0.22039774  0.42995636  0.6183698   0.77637192  0.8961922
  0.9719379   0.99988386  0.9786557   0.90929743]


Code 2 : Graphical Representation of numpy.linspace() using matplotlib module – pylab 


Python





















import numpy as geek


import pylab as p


 








x1 = geek.linspace(0, 2, 10, endpoint = False)


y1 = geek.ones(10)


 


p.plot(x1, y1, '*')


p.xlim(-0.2, 1.8)












Output : 
 




Code 3 : Graphical Representation of numpy.linspace() using pylab 
 


Python





















import numpy as geek


import pylab as p


 








x1 = geek.linspace(0, 2, 15, endpoint = True)


y1 = geek.zeros(15)


 


p.plot(x1, y1, 'o')


p.xlim(-0.2, 2.1)












Output : 
 




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