AnnulusPixelRegion#
- class regions.AnnulusPixelRegion[source]#
Bases:
PixelRegion,ABCA base class for annulus pixel regions.
Attributes Summary
The exact analytical area of the region shape.
The minimal bounding box (in integer pixel coordinates) that contains the region.
Methods Summary
as_artist([origin])Convert to matplotlib patch object for this region.
contains(pixcoord)Check whether a position or positions fall inside the region, excluding the boundary.
covers(pixcoord)Check whether a position or positions fall inside the region, including the boundary.
rotate(center, angle)Rotate the region.
to_mask([mode, subpixels])Return a mask for the region.
Attributes Documentation
- area#
- bounding_box#
Methods Documentation
- contains(pixcoord)[source]#
Check whether a position or positions fall inside the region, excluding the boundary.
This method considers points on the boundary as outside the region, consistent with Shapely’s
containsfunction and DE-9IM semantics.- Parameters:
- pixcoord
PixCoord The position or positions to check.
- pixcoord
- Returns:
- resultbool or
ndarray A boolean or boolean array indicating whether the position(s) are inside the region.
- resultbool or
See also
coversCheck if points are inside or on the boundary.
- covers(pixcoord)[source]#
Check whether a position or positions fall inside the region, including the boundary.
This method considers points on the boundary as inside the region, consistent with Shapely’s
coversfunction and DE-9IM semantics.- Parameters:
- pixcoord
PixCoord The position or positions to check.
- pixcoord
- Returns:
- resultbool or
ndarray A boolean or boolean array indicating whether the position(s) are inside or on the boundary of the region.
- resultbool or
See also
containsCheck if points are strictly inside (excludes boundary).
- rotate(center, angle)[source]#
Rotate the region.
Positive
anglecorresponds to counter-clockwise rotation.- Parameters:
- Returns:
- region
AnnulusPixelRegion The rotated region (which is an independent copy).
- region
- to_mask(mode='center', subpixels=5)[source]#
Return a mask for the region.
- Parameters:
- mode{‘center’, ‘exact’, ‘subpixels’}, optional
The method used to determine the overlap of the region on the pixel grid. Not all options are available for all region types. Note that the more precise methods are generally slower. The following methods are available:
'center': A pixel is considered to be entirely in or out of the region depending on whether its center is in or out of the region. The returned mask will contain values only of 0 (out) and 1 (in).'exact'(default): The exact fractional overlap of the region and each pixel is calculated. The returned mask will contain values between 0 and 1.'subpixel': A pixel is divided into subpixels (see thesubpixelskeyword), each of which are considered to be entirely in or out of the region depending on whether its center is in or out of the region. Ifsubpixels=1, this method is equivalent to'center'. The returned mask will contain values between 0 and 1.
- subpixelsint, optional
For the
'subpixel'mode, resample pixels by this factor in each dimension. That is, each pixel is divided intosubpixels ** 2subpixels.
- Returns:
- mask
RegionMask A mask for the region.
- mask