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

Python

# Python Programming illustrating
# numpy.linspace method

import numpy as geek

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

# To evaluate sin() in long range
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

# Graphical Representation of numpy.linspace()
import numpy as geek
import pylab as p

# Start = 0
# End = 2
# Samples to generate = 10
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

# Graphical Representation of numpy.linspace()
import numpy as geek
import pylab as p

# Start = 0
# End = 2
# Samples to generate = 15
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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