本文整理匯總了Python中matplotlib.tri.triangulation.Triangulation方法的典型用法代碼示例。如果您正苦於以下問題：Python triangulation.Triangulation方法的具體用法？Python triangulation.Triangulation怎麽用？Python triangulation.Triangulation使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類matplotlib.tri.triangulation的用法示例。
在下文中一共展示了triangulation.Triangulation方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: __init__
# 需要導入模塊: from matplotlib.tri import triangulation [as 別名]
# 或者: from matplotlib.tri.triangulation import Triangulation [as 別名]
def __init__(self, triangulation):
if not isinstance(triangulation, Triangulation):
raise ValueError("Expected a Triangulation object")
self._triangulation = triangulation 示例2: refine_field
# 需要導入模塊: from matplotlib.tri import triangulation [as 別名]
# 或者: from matplotlib.tri.triangulation import Triangulation [as 別名]
def refine_field(self, z, triinterpolator=None, subdiv=3):
"""
Refines a field defined on the encapsulated triangulation.
Returns *refi_tri* (refined triangulation), *refi_z* (interpolated
values of the field at the node of the refined triangulation).
Parameters
----------
z : 1d-array-like of length ``n_points``
Values of the field to refine, defined at the nodes of the
encapsulated triangulation. (``n_points`` is the number of points
in the initial triangulation)
triinterpolator : :class:`~matplotlib.tri.TriInterpolator`, optional
Interpolator used for field interpolation. If not specified,
a :class:`~matplotlib.tri.CubicTriInterpolator` will
be used.
subdiv : integer, optional
Recursion level for the subdivision. Defaults to 3.
Each triangle will be divided into ``4**subdiv`` child triangles.
Returns
-------
refi_tri : :class:`~matplotlib.tri.Triangulation` object
The returned refined triangulation
refi_z : 1d array of length: *refi_tri* node count.
The returned interpolated field (at *refi_tri* nodes)
Examples
--------
The main application of this method is to plot high-quality
iso-contours on a coarse triangular grid (e.g., triangulation built
from relatively sparse test data):
.. plot:: mpl_examples/pylab_examples/tricontour_smooth_user.py
"""
if triinterpolator is None:
interp = matplotlib.tri.CubicTriInterpolator(
self._triangulation, z)
else:
if not isinstance(triinterpolator,
matplotlib.tri.TriInterpolator):
raise ValueError("Expected a TriInterpolator object")
interp = triinterpolator
refi_tri, found_index = self.refine_triangulation(
subdiv=subdiv, return_tri_index=True)
refi_z = interp._interpolate_multikeys(
refi_tri.x, refi_tri.y, tri_index=found_index)[0]
return refi_tri, refi_z 示例3: refine_field
# 需要導入模塊: from matplotlib.tri import triangulation [as 別名]
# 或者: from matplotlib.tri.triangulation import Triangulation [as 別名]
def refine_field(self, z, triinterpolator=None, subdiv=3):
"""
Refines a field defined on the encapsulated triangulation.
Returns *refi_tri* (refined triangulation), *refi_z* (interpolated
values of the field at the node of the refined triangulation).
Parameters
----------
z : 1d-array-like of length ``n_points``
Values of the field to refine, defined at the nodes of the
encapsulated triangulation. (``n_points`` is the number of points
in the initial triangulation)
triinterpolator : :class:`~matplotlib.tri.TriInterpolator`, optional
Interpolator used for field interpolation. If not specified,
a :class:`~matplotlib.tri.CubicTriInterpolator` will
be used.
subdiv : integer, optional
Recursion level for the subdivision. Defaults to 3.
Each triangle will be divided into ``4**subdiv`` child triangles.
Returns
-------
refi_tri : :class:`~matplotlib.tri.Triangulation` object
The returned refined triangulation
refi_z : 1d array of length: *refi_tri* node count.
The returned interpolated field (at *refi_tri* nodes)
"""
if triinterpolator is None:
interp = matplotlib.tri.CubicTriInterpolator(
self._triangulation, z)
else:
if not isinstance(triinterpolator,
matplotlib.tri.TriInterpolator):
raise ValueError("Expected a TriInterpolator object")
interp = triinterpolator
refi_tri, found_index = self.refine_triangulation(
subdiv=subdiv, return_tri_index=True)
refi_z = interp._interpolate_multikeys(
refi_tri.x, refi_tri.y, tri_index=found_index)[0]
return refi_tri, refi_z