aopp_deconv_tool.numpy_helper.array.mask

package documentation

Routines that use masks to assist in array operations

Module interp ND interpolation for numpy arrays

From __init__.py:

Function	`from_nan_and_inf`	Gets a mask of all nan and inf values
Function	`from_shape`	Gets a mask of `shape` and start-end coords `extent` that are inside `poly_shape`

def from_nan_and_inf(a: np.ndarray[[...], float]) -> np.ndarray[[...], bool]: ¶

Gets a mask of all nan and inf values

Parameters
a:`np.ndarray[[...], float]`	np.ndarray A numpy array of pixels
Returns
`np.ndarray[[...], bool]`	A boolean numpy array that is True where `a` is NAN and INF.

def from_shape(shape: S[N], geo_shape: GeoShape, extent: np.ndarray[[N, 2], float] | None = None) -> np.ndarray[S[N], bool]: ¶

Gets a mask of shape and start-end coords extent that are inside poly_shape