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exp

Description

Calculate the base-e exponential of each element in the input. That is, .

Mandatory Input Parameters

Parameter

Type

Description

x

array_like

Input array or scalar

Optional Input Parameters

Parameter

Type

Default Value

Description

out

ndarray/ndarray tuple

None

Location where the calculation result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided, a freshly-allocated array is returned.

where

array_like

None

This condition is broadcast over the input. At locations where the condition is true, the out array stores the result. Elsewhere, the out array retains its original value.

**kwargs

-

-

Other keyword arguments. Refer to the NumPy official document Universal functions (ufunc).

Return Value

Type

Description

ndarray/scalar

Element-wise base-e exponential of x

Examples

>>> import numpy as np
>>> np.exp(1.0)
2.718281828459045
>>> 
>>> x = np.arange(4)
>>> x
array([0, 1, 2, 3])
>>> np.exp(x)
array([ 1.        ,  2.71828183,  7.3890561 , 20.08553692])
>>>