本文整理汇总了Python中matplotlib.tri.trifinder.TriFinder方法的典型用法代码示例。如果您正苦于以下问题：Python trifinder.TriFinder方法的具体用法？Python trifinder.TriFinder怎么用？Python trifinder.TriFinder使用的例子？那么恭喜您, 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.tri.trifinder的用法示例。
在下文中一共展示了trifinder.TriFinder方法的2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.tri import trifinder [as 别名]
# 或者: from matplotlib.tri.trifinder import TriFinder [as 别名]
def __init__(self, triangulation, z, trifinder=None):
if not isinstance(triangulation, Triangulation):
raise ValueError("Expected a Triangulation object")
self._triangulation = triangulation
self._z = np.asarray(z)
if self._z.shape != self._triangulation.x.shape:
raise ValueError("z array must have same length as triangulation x"
" and y arrays")
if trifinder is not None and not isinstance(trifinder, TriFinder):
raise ValueError("Expected a TriFinder object")
self._trifinder = trifinder or self._triangulation.get_trifinder()
# Default scaling factors : 1.0 (= no scaling)
# Scaling may be used for interpolations for which the order of
# magnitude of x, y has an impact on the interpolant definition.
# Please refer to :meth:`_interpolate_multikeys` for details.
self._unit_x = 1.0
self._unit_y = 1.0
# Default triangle renumbering: None (= no renumbering)
# Renumbering may be used to avoid unecessary computations
# if complex calculations are done inside the Interpolator.
# Please refer to :meth:`_interpolate_multikeys` for details.
self._tri_renum = None
# __call__ and gradient docstrings are shared by all subclasses
# (except, if needed, relevant additions).
# However these methods are only implemented in subclasses to avoid
# confusion in the documentation. 示例2: __init__
# 需要导入模块: from matplotlib.tri import trifinder [as 别名]
# 或者: from matplotlib.tri.trifinder import TriFinder [as 别名]
def __init__(self, triangulation, z, trifinder=None):
if not isinstance(triangulation, Triangulation):
raise ValueError("Expected a Triangulation object")
self._triangulation = triangulation
self._z = np.asarray(z)
if self._z.shape != self._triangulation.x.shape:
raise ValueError("z array must have same length as triangulation x"
" and y arrays")
if trifinder is not None and not isinstance(trifinder, TriFinder):
raise ValueError("Expected a TriFinder object")
self._trifinder = trifinder or self._triangulation.get_trifinder()
# Default scaling factors : 1.0 (= no scaling)
# Scaling may be used for interpolations for which the order of
# magnitude of x, y has an impact on the interpolant definition.
# Please refer to :meth:`_interpolate_multikeys` for details.
self._unit_x = 1.0
self._unit_y = 1.0
# Default triangle renumbering: None (= no renumbering)
# Renumbering may be used to avoid unnecessary computations
# if complex calculations are done inside the Interpolator.
# Please refer to :meth:`_interpolate_multikeys` for details.
self._tri_renum = None
# __call__ and gradient docstrings are shared by all subclasses
# (except, if needed, relevant additions).
# However these methods are only implemented in subclasses to avoid
# confusion in the documentation.