numpy.linspace() in Python

About :
numpy.linspace(start, stop, num = 50, endpoint = True, retstep = False, dtype = None) : Returns number spaces evenly w.r.t interval. Similar to arange but instead of step it uses sample number.
Parameters :

-> start  : [optional] start of interval range. By default start = 0
-> stop   : end of interval range
-> restep : If True, return (samples, step). By deflut 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

filter_none

edit
close

play_arrow

link
brightness_4
code

# 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))

chevron_right


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

filter_none

edit
close

play_arrow

link
brightness_4
code

# Graphical Represenation 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)

chevron_right


Output :

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

filter_none

edit
close

play_arrow

link
brightness_4
code

# Graphical Represenation 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)

chevron_right


Output :

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

This article is contributed by Mohit Gupta_OMG 😀. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.



My Personal Notes arrow_drop_up

Improved By : nidhi_biet