numpy.linspace() in Python

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 
 

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 

Output : 
 

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

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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