def __init__(self, x, y, triangles=None, mask=None):
from matplotlib import _qhull
self.x = np.asarray(x, dtype=np.float64)
self.y = np.asarray(y, dtype=np.float64)
if self.x.shape != self.y.shape or self.x.ndim != 1:
raise ValueError("x and y must be equal-length 1D arrays, but "
f"found shapes {self.x.shape!r} and "
f"{self.y.shape!r}")
self.mask = None
self._edges = None
self._neighbors = None
self.is_delaunay = False
if triangles is None:
# No triangulation specified, so use matplotlib._qhull to obtain
# Delaunay triangulation.
self.triangles, self._neighbors = _qhull.delaunay(x, y)
self.is_delaunay = True
else:
# Triangulation specified. Copy, since we may correct triangle
# orientation.
try:
self.triangles = np.array(triangles, dtype=np.int32, order='C')
except ValueError as e:
raise ValueError('triangles must be a (N, 3) int array, not '
f'{triangles!r}') from e
if self.triangles.ndim != 2 or self.triangles.shape[1] != 3:
raise ValueError(
'triangles must be a (N, 3) int array, but found shape '
f'{self.triangles.shape!r}')
if self.triangles.max() >= len(self.x):
raise ValueError(
'triangles are indices into the points and must be in the '
f'range 0 <= i < {len(self.x)} but found value '
f'{self.triangles.max()}')
if self.triangles.min() < 0:
raise ValueError(
'triangles are indices into the points and must be in the '
f'range 0 <= i < {len(self.x)} but found value '
f'{self.triangles.min()}')
if mask is not None:
self.mask = np.asarray(mask, dtype=bool)
if self.mask.shape != (self.triangles.shape[0],):
raise ValueError('mask array must have same length as '
'triangles array')
# Underlying C++ object is not created until first needed.
self._cpp_triangulation = None
# Default TriFinder not created until needed.
self._trifinder = None
def __init__(self, x, y, triangles=None, mask=None):
from matplotlib import _qhull
self.x = np.asarray(x, dtype=np.float64)
self.y = np.asarray(y, dtype=np.float64)
if self.x.shape != self.y.shape or self.x.ndim != 1:
raise ValueError("x and y must be equal-length 1-D arrays")
self.mask = None
self._edges = None
self._neighbors = None
self.is_delaunay = False
if triangles is None:
# No triangulation specified, so use matplotlib._qhull to obtain
# Delaunay triangulation.
self.triangles, self._neighbors = _qhull.delaunay(x, y)
self.is_delaunay = True
else:
# Triangulation specified. Copy, since we may correct triangle
# orientation.
self.triangles = np.array(triangles, dtype=np.int32, order='C')
if self.triangles.ndim != 2 or self.triangles.shape[1] != 3:
raise ValueError('triangles must be a (?, 3) array')
if self.triangles.max() >= len(self.x):
raise ValueError('triangles max element is out of bounds')
if self.triangles.min() < 0:
raise ValueError('triangles min element is out of bounds')
if mask is not None:
self.mask = np.asarray(mask, dtype=bool)
if self.mask.shape != (self.triangles.shape[0],):
raise ValueError('mask array must have same length as '
'triangles array')
# Underlying C++ object is not created until first needed.
self._cpp_triangulation = None
# Default TriFinder not created until needed.
self._trifinder = None
def __init__(self, x, y, triangles=None, mask=None):
from matplotlib import _qhull
self.x = np.asarray(x, dtype=np.float64)
self.y = np.asarray(y, dtype=np.float64)
if self.x.shape != self.y.shape or self.x.ndim != 1:
raise ValueError("x and y must be equal-length 1-D arrays")
self.mask = None
self._edges = None
self._neighbors = None
self.is_delaunay = False
if triangles is None:
# No triangulation specified, so use matplotlib._qhull to obtain
# Delaunay triangulation.
self.triangles, self._neighbors = _qhull.delaunay(x, y)
self.is_delaunay = True
else:
# Triangulation specified. Copy, since we may correct triangle
# orientation.
self.triangles = np.array(triangles, dtype=np.int32, order='C')
if self.triangles.ndim != 2 or self.triangles.shape[1] != 3:
raise ValueError('triangles must be a (?,3) array')
if self.triangles.max() >= len(self.x):
raise ValueError('triangles max element is out of bounds')
if self.triangles.min() < 0:
raise ValueError('triangles min element is out of bounds')
if mask is not None:
self.mask = np.asarray(mask, dtype=bool)
if self.mask.shape != (self.triangles.shape[0],):
raise ValueError('mask array must have same length as '
'triangles array')
# Underlying C++ object is not created until first needed.
self._cpp_triangulation = None
# Default TriFinder not created until needed.
self._trifinder = None