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 methodimport numpy as geek# restep set to Trueprint("B\n", geek.linspace(2.0, 3.0, num=5, retstep=True), "\n")# To evaluate sin() in long rangex = 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 geekimport pylab as p# Start = 0# End = 2# Samples to generate = 10x1 = 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 geekimport pylab as p# Start = 0# End = 2# Samples to generate = 15x1 = 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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