Python matplotlib._qhull.delaunay() Examples

The following are 8 code examples of matplotlib._qhull.delaunay(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module matplotlib._qhull , or try the search function .
Example #1
Source File: triangulation.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
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
Example #2
Source File: triangulation.py    From neural-network-animation with MIT License 5 votes vote down vote up 
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
Example #3
Source File: triangulation.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up 
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
Example #4
Source File: triangulation.py    From python3_ios with BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
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
Example #5
Source File: triangulation.py    From ImageFusion with MIT License 5 votes vote down vote up 
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
Example #6
Source File: triangulation.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
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
Example #7
Source File: triangulation.py    From CogAlg with MIT License 5 votes vote down vote up 
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
Example #8
Source File: triangulation.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
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