smpl.stat.noisy

smpl.stat.noisy(x, mean=1, std=0.1)[source]

Add gaussian noise to x.

Parameters

xarray_like: Data to be smeared.
meanfloat: Mean of gaussian noise.
stdfloat: Standard deviation of gaussian noise.

Returns

array_like: Smeared data.

Examples

>>> x = np.array([1, 2, 3, 4, 5])
>>> noisy(x,std=0)
array([1., 2., 3., 4., 5.])