What is the exp function in NumPy?
The exp function in NumPy is used to compute the exponent of all values present in the given array.
erefers to Euler’s constant. It has an approximate value of 2.718.
Syntax
The syntax of the exp function is as follows:
numpy.exp(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'exp'>
Parameters
The description of each parameter of the exp function is given below:
| Parameter | Description |
|---|---|
array |
The array of numbers to compute exponents of. |
out |
The location where the result is stored. By default, a new array of results is created. |
where |
Takes an array-like object. At locations where it is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. |
dtype |
Data type of the resultant array. |
casting |
Determines which kind of casting is permissible. Can be ‘no’, ‘equiv’, ‘safe’, ‘same_kind’, or ‘unsafe’. |
order |
Determines the calculation iteration order or memory layout of the output array. |
subok |
If set to False, the output will always be a strict array and not a subtype. It is True by default. |
Return value
The exp function returns an array with the element-wise exponent.
Example
The code snippet below shows how the exp function works in NumPy:
import numpy as npin_array = [1, 3, 5]print ("Input array : ", in_array)out_array = np.exp(in_array)print ("Output array : ", out_array)
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