本文整理汇总了Python中matplotlib._qhull.delaunay方法的典型用法代码示例。如果您正苦于以下问题：Python _qhull.delaunay方法的具体用法？Python _qhull.delaunay怎么用？Python _qhull.delaunay使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib._qhull的用法示例。
在下文中一共展示了_qhull.delaunay方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from matplotlib import _qhull [as 别名]
# 或者: from matplotlib._qhull import delaunay [as 别名]
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 示例2: __init__
# 需要导入模块: from matplotlib import _qhull [as 别名]
# 或者: from matplotlib._qhull import delaunay [as 别名]
def __init__(self, x, y, triangles=None, mask=None):
self.x = np.asarray(x, dtype=np.float64)
self.y = np.asarray(y, dtype=np.float64)
if self.x.shape != self.y.shape or len(self.x.shape) != 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)
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=np.bool)
if (len(self.mask.shape) != 1 or
self.mask.shape[0] != 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 示例3: __init__
# 需要导入模块: from matplotlib import _qhull [as 别名]
# 或者: from matplotlib._qhull import delaunay [as 别名]
def __init__(self, x, y, triangles=None, mask=None):
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