Source code for regions.core.pixcoord

# Licensed under a 3-clause BSD style license - see LICENSE.rst
import copy
import numpy as np
from astropy.coordinates import SkyCoord


__all__ = ['PixCoord']

[docs]class PixCoord: """Pixel coordinates. This class can represent scalar or array pixel coordinates. The data members are either numbers or Numpy arrays (not `~astropy.units.Quantity` objects with unit "pixel"). Given a `astropy.wcs.WCS` object, it can be transformed to and from a `~astropy.coordinates.SkyCoord` object. Parameters ---------- x : float or array-like Pixel coordinate x value y : float or array-like Pixel coordinate y value Examples -------- Usage examples are provided in the :ref:`gs-coord` section of the docs. """ def __init__(self, x, y): x, y = np.broadcast_arrays(x, y) if x.shape == (): self.x, self.y = x.item(), y.item() else: self.x, self.y = x, y
[docs] def copy(self): return self.__class__( copy.deepcopy(self.x), copy.deepcopy(self.y), )
@staticmethod def _validate(val, name, expected='any'): """Validate that a given object is an appropriate `PixCoord`. This is used for input validation throughout the regions package, especially in the `__init__` method of pixel region classes. Parameters ---------- val : `PixCoord` The object to check name : str Parameter name (used for error messages) expected : {'any', 'scalar', 'not scalar'} What kind of PixCoord to check for Returns ------- val : `PixCoord` The input object (at the moment unmodified, might do fix-ups here later) """ if not isinstance(val, PixCoord): raise TypeError(f'{name} must be a PixCoord') if expected == 'any': pass elif expected == 'scalar': if not val.isscalar: raise ValueError(f'{name} must be a scalar PixCoord') elif expected == 'not scalar': if val.isscalar: raise ValueError(f'{name} must be a non-scalar PixCoord') else: raise ValueError(f'Invalid argument for `expected`: {expected}') return val @property def isscalar(self): return np.isscalar(self.x) def __repr__(self): data = dict(name=self.__class__.__name__, x=self.x, y=self.y) fmt = '{name}(x={x}, y={y})' return fmt.format(**data) def __len__(self): """Define len(pixcoord) for array-valued pixcoord""" return len(self.x) def __iter__(self): """Allows iteration for array-valued pixcoord Yields scalar `PixCoord` objects. """ for (x, y) in zip(self.x, self.y): yield PixCoord(x=x, y=y) def __getitem__(self, key): """Define indexing and slicing.""" if self.isscalar: raise IndexError('Scalar PixCoord cannot be indexed or sliced.') # Let Numpy do the slicing x = self.x[key] y = self.y[key] return PixCoord(x=x, y=y) def __eq__(self, other): """ It checks whether ``other`` is `PixCoord` object and whether their abscissa and ordinate values are equal using ``np.assert_allclose`` with their default tolerance values. """ if isinstance(other, PixCoord): return np.allclose([self.x, self.y], [other.x, other.y]) else: return False
[docs] def to_sky(self, wcs, origin=_DEFAULT_WCS_ORIGIN, mode=_DEFAULT_WCS_MODE): """Convert this `PixCoord` to `~astropy.coordinates.SkyCoord`. Calls :meth:`astropy.coordinates.SkyCoord.from_pixel`. See parameter description there. """ return SkyCoord.from_pixel( xp=self.x, yp=self.y, wcs=wcs, origin=origin, mode=mode, )
[docs] @classmethod def from_sky(cls, skycoord, wcs, origin=_DEFAULT_WCS_ORIGIN, mode=_DEFAULT_WCS_MODE): """Create `PixCoord` from `~astropy.coordinates.SkyCoord`. Calls :meth:`astropy.coordinates.SkyCoord.to_pixel`. See parameter description there. """ x, y = skycoord.to_pixel(wcs=wcs, origin=origin, mode=mode) return cls(x=x, y=y)
[docs] def separation(self, other): r"""Separation to another pixel coordinate. This is the two-dimensional cartesian separation :math:`d` with .. math:: d = \sqrt{(x_1 - x_2) ^ 2 + (y_1 - y_2) ^ 2} Parameters ---------- other : `PixCoord` Other pixel coordinate Returns ------- separation : `numpy.array` Separation in pixels """ dx = other.x - self.x dy = other.y - self.y return np.hypot(dx, dy)
@property def xy(self): """ A 2-tuple ``(x, y)`` for this coordinate. """ return self.x, self.y
[docs] def rotate(self, center, angle): """Make a rotated pixel coordinate. Rotates counter-clockwise for positive ``angle``. Parameters ---------- center : PixCoord Rotation center point angle : Angle Rotation angle Returns ------- coord : PixCoord Rotated coordinates (an independent copy) """ dx = self.x - center.x dy = self.y - center.y vec = np.array([dx, dy]) c, s = np.cos(angle), np.sin(angle) rotation_matrix = np.array([[c, -s], [s, c]]) vec = np.matmul(rotation_matrix, vec) return self.__class__(center.x + vec[0], center.y + vec[1])