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# numpy.linspace () in Python

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numpy.linspace (start, stop, num = 50, endpoint = True, retstep = False, dtype = None): returns numeric spaces evenly spaced. Similar to arange, but uses the sample number instead of the step.
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: Explain linspace function

` `

` # Python Programming Illustrative # numpy.linspace method   import numpy as geek   # restep set to True print ( "B" , geek.linspace ( 2.0 , 3.0 , num = 5 , retstep = True ), "" )   # To evaluate sin () at a great distance x = geek.linspace ( 0 , 2 , 10 ) print ( " A " , 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 a module matplotlib & # 8212; pylab

 ` # 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: Plotting numpy.linspace () using pylab

` `

` # 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 ) `

Exit:

Notes:
These NumPy-Python programs will not work by onlineID, so run them on your systems to learn them

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