scipy.special.exp10#

scipy.special.exp10(x, out=None) = <ufunc 'exp10'>#

Compute 10**x element-wise.

Parameters:

xarray_like: x must contain real numbers.
outndarray, optional: Optional output array for the function values

Returns:

scalar or ndarray: 10**x, computed element-wise.

Examples

>>> import numpy as np
>>> from scipy.special import exp10

>>> exp10(3)
1000.0
>>> x = np.array([[-1, -0.5, 0], [0.5, 1, 1.5]])
>>> exp10(x)
array([[  0.1       ,   0.31622777,   1.        ],
       [  3.16227766,  10.        ,  31.6227766 ]])