NumPy | Python Methods and Functions

** **

With the ** numpy.ndarray .__ le __ () ** method ** Numpy **, we can ** determine ** which element of the ** array is less than or equals ** to the value specified in the parameter. It will return you an empty boolean array with only ** True ** and ** False ** values.

Syntax:ndarray .__ le __ ($ self, value, /)

Return:self & lt; = value

** Example # 1: In this example, we can see that after applying numpy .__ le __ () , we get a simple boolean array that can tell us which element in the array is less than or equal to an element of the supplied parameter. **

** **

` ` |

** Output: **

[True True True True False False]

** Example # 2: **

` `

` ` ` # import important module into python `

` import `

` numpy as np `

` # make an array with NumPy `

` gfg `

` = `

` np.array ([[`

` 1 `

`, `

` 2 `

`, `

` 3 `

`, `

` 4 `

`, `

` 5 ``, `

` 6 `

`], `

` ` ` [`

` 6 `

`, `

` 5 `

`, `

` 4 `

`, `

` 3 `

`, `

` 2 `

`, `

` 1 `

`]]) `

` `

` # applying the numpy method .__ le __ () `

` print `

` (gfg .__ le __ (`

` 4 `

`)) `

` `

** Exit:**

[[True True True False False] [ False False True True True True]]

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