NumPy | Python Methods and Functions

** About: **

** 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 :**

- & gt;start:[optional] start of interval range. By default start = 0 - & gt;stop:end of interval range - & gt;restep:If True, return (samples, step). By deflut restep = False - & gt;num:[int, optional] No. of samples to generate - & gt;dtype:type of output array

** Return: **

- & gt;ndarray- & gt;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 **

` ` |

** Output: **

** Code 3: Plotting numpy.linspace () using pylab **

` `

` ` |

** Exit: **

** Notes: **

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

This article is provided by ** Mohit Gupta_OMG
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