Python Axes.tricontour方法代碼示例

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import tricontour [as 別名]
def tricontour(*args, **kwargs):
    ax = gca()
    # allow callers to override the hold state by passing hold=True|False
    washold = ax.ishold()
    hold = kwargs.pop('hold', None)
    if hold is not None:
        ax.hold(hold)
    try:
        ret = ax.tricontour(*args, **kwargs)
        draw_if_interactive()
    finally:
        ax.hold(washold)
    if ret._A is not None: sci(ret)
    return ret

# This function was autogenerated by boilerplate.py.  Do not edit as
# changes will be lost 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import tricontour [as 別名]
def tricontour(*args, **kwargs):
    ax = gca()
    # Deprecated: allow callers to override the hold state
    # by passing hold=True|False
    washold = ax._hold
    hold = kwargs.pop('hold', None)
    if hold is not None:
        ax._hold = hold
        from matplotlib.cbook import mplDeprecation
        warnings.warn("The 'hold' keyword argument is deprecated since 2.0.",
                      mplDeprecation)
    try:
        ret = ax.tricontour(*args, **kwargs)
    finally:
        ax._hold = washold
    if ret._A is not None: sci(ret)
    return ret

# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import tricontour [as 別名]
def tricontour(self, X, Y, Z, *args, **kwargs):
        '''
        Create a 3D contour plot.

        ==========  ================================================
        Argument    Description
        ==========  ================================================
        *X*, *Y*,   Data values as numpy.arrays
        *Z*
        *extend3d*  Whether to extend contour in 3D (default: False)
        *stride*    Stride (step size) for extending contour
        *zdir*      The direction to use: x, y or z (default)
        *offset*    If specified plot a projection of the contour
                    lines on this position in plane normal to zdir
        ==========  ================================================

        Other keyword arguments are passed on to
        :func:`~matplotlib.axes.Axes.tricontour`

        Returns a :class:`~matplotlib.axes.Axes.contour`

        .. versionadded:: 1.1.0
        '''

        extend3d = kwargs.pop('extend3d', False)
        stride = kwargs.pop('stride', 5)
        zdir = kwargs.pop('zdir', 'z')
        offset = kwargs.pop('offset', None)

        had_data = self.has_data()

        jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
        cset = Axes.tricontour(self, jX, jY, jZ, *args, **kwargs)
        self.add_contour_set(cset, extend3d, stride, zdir, offset)

        self.auto_scale_xyz(X, Y, Z, had_data)
        return cset 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import tricontour [as 別名]
def tricontourf(self, X, Y, Z, offset=None, zdir='z', *args, **kwargs):
        '''
        Create a 3D contourf plot.

        ==========  ================================================
        Argument    Description
        ==========  ================================================
        *X*, *Y*,   Data values as numpy.arrays
        *Z*
        *zdir*      The direction to use: x, y or z (default)
        *offset*    If specified plot a projection of the contour
                    lines on this position in plane normal to zdir
        ==========  ================================================

        Other keyword arguments are passed on to
        :func:`~matplotlib.axes.Axes.tricontour`

        Returns a :class:`~matplotlib.axes.Axes.contour`

        .. versionadded :: 1.1.0
        '''
        zdir = kwargs.pop('zdir', 'z')
        offset = kwargs.pop('offset', None)

        had_data = self.has_data()

        jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
        cset = Axes.tricontourf(self, X, Y, Z, *args, **kwargs)
        self.add_contourf_set(cset, zdir, offset)

        self.auto_scale_xyz(X, Y, Z, had_data)
        return cset 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import tricontour [as 別名]
def tricontour(*args, **kwargs):
    __ret = gca().tricontour(*args, **kwargs)
    if __ret._A is not None: sci(__ret)
    return __ret

# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import tricontour [as 別名]
def tricontour(*args, **kwargs):
    __ret = gca().tricontour(*args, **kwargs)
    if __ret._A is not None: sci(__ret)  # noqa
    return __ret


# Autogenerated by boilerplate.py.  Do not edit as changes will be lost. 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import tricontour [as 別名]
def tricontour(self, *args,
                   extend3d=False, stride=5, zdir='z', offset=None, **kwargs):
        """
        Create a 3D contour plot.

        ==========  ================================================
        Argument    Description
        ==========  ================================================
        *X*, *Y*,   Data values as numpy.arrays
        *Z*
        *extend3d*  Whether to extend contour in 3D (default: False)
        *stride*    Stride (step size) for extending contour
        *zdir*      The direction to use: x, y or z (default)
        *offset*    If specified plot a projection of the contour
                    lines on this position in plane normal to zdir
        ==========  ================================================

        Other keyword arguments are passed on to
        :func:`~matplotlib.axes.Axes.tricontour`

        Returns a :class:`~matplotlib.axes.Axes.contour`

        .. versionchanged:: 1.3.0
            Added support for custom triangulations

        EXPERIMENTAL:  This method currently produces incorrect output due to a
        longstanding bug in 3D PolyCollection rendering.
        """

        had_data = self.has_data()

        tri, args, kwargs = Triangulation.get_from_args_and_kwargs(
                *args, **kwargs)
        X = tri.x
        Y = tri.y
        if 'Z' in kwargs:
            Z = kwargs.pop('Z')
        else:
            Z = args[0]
            # We do this so Z doesn't get passed as an arg to Axes.tricontour
            args = args[1:]

        jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
        tri = Triangulation(jX, jY, tri.triangles, tri.mask)

        cset = super().tricontour(tri, jZ, *args, **kwargs)
        self.add_contour_set(cset, extend3d, stride, zdir, offset)

        self.auto_scale_xyz(X, Y, Z, had_data)
        return cset 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import tricontour [as 別名]
def tricontourf(self, *args, zdir='z', offset=None, **kwargs):
        """
        Create a 3D contourf plot.

        ==========  ================================================
        Argument    Description
        ==========  ================================================
        *X*, *Y*,   Data values as numpy.arrays
        *Z*
        *zdir*      The direction to use: x, y or z (default)
        *offset*    If specified plot a projection of the contour
                    lines on this position in plane normal to zdir
        ==========  ================================================

        Other keyword arguments are passed on to
        :func:`~matplotlib.axes.Axes.tricontour`

        Returns a :class:`~matplotlib.axes.Axes.contour`

        .. versionchanged :: 1.3.0
            Added support for custom triangulations

        EXPERIMENTAL:  This method currently produces incorrect output due to a
        longstanding bug in 3D PolyCollection rendering.
        """

        had_data = self.has_data()

        tri, args, kwargs = Triangulation.get_from_args_and_kwargs(
                *args, **kwargs)
        X = tri.x
        Y = tri.y
        if 'Z' in kwargs:
            Z = kwargs.pop('Z')
        else:
            Z = args[0]
            # We do this so Z doesn't get passed as an arg to Axes.tricontourf
            args = args[1:]

        jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
        tri = Triangulation(jX, jY, tri.triangles, tri.mask)

        cset = super().tricontourf(tri, jZ, *args, **kwargs)
        self.add_contourf_set(cset, zdir, offset)

        self.auto_scale_xyz(X, Y, Z, had_data)
        return cset 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import tricontour [as 別名]
def tricontour(self, *args, **kwargs):
        """
        Create a 3D contour plot.

        ==========  ================================================
        Argument    Description
        ==========  ================================================
        *X*, *Y*,   Data values as numpy.arrays
        *Z*
        *extend3d*  Whether to extend contour in 3D (default: False)
        *stride*    Stride (step size) for extending contour
        *zdir*      The direction to use: x, y or z (default)
        *offset*    If specified plot a projection of the contour
                    lines on this position in plane normal to zdir
        ==========  ================================================

        Other keyword arguments are passed on to
        :func:`~matplotlib.axes.Axes.tricontour`

        Returns a :class:`~matplotlib.axes.Axes.contour`

        .. versionchanged:: 1.3.0
            Added support for custom triangulations

        EXPERIMENTAL:  This method currently produces incorrect output due to a
        longstanding bug in 3D PolyCollection rendering.
        """

        extend3d = kwargs.pop('extend3d', False)
        stride = kwargs.pop('stride', 5)
        zdir = kwargs.pop('zdir', 'z')
        offset = kwargs.pop('offset', None)

        had_data = self.has_data()

        tri, args, kwargs = Triangulation.get_from_args_and_kwargs(
                *args, **kwargs)
        X = tri.x
        Y = tri.y
        if 'Z' in kwargs:
            Z = kwargs.pop('Z')
        else:
            Z = args[0]
            # We do this so Z doesn't get passed as an arg to Axes.tricontour
            args = args[1:]

        jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
        tri = Triangulation(jX, jY, tri.triangles, tri.mask)

        cset = Axes.tricontour(self, tri, jZ, *args, **kwargs)
        self.add_contour_set(cset, extend3d, stride, zdir, offset)

        self.auto_scale_xyz(X, Y, Z, had_data)
        return cset 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import tricontour [as 別名]
def tricontourf(self, *args, **kwargs):
        """
        Create a 3D contourf plot.

        ==========  ================================================
        Argument    Description
        ==========  ================================================
        *X*, *Y*,   Data values as numpy.arrays
        *Z*
        *zdir*      The direction to use: x, y or z (default)
        *offset*    If specified plot a projection of the contour
                    lines on this position in plane normal to zdir
        ==========  ================================================

        Other keyword arguments are passed on to
        :func:`~matplotlib.axes.Axes.tricontour`

        Returns a :class:`~matplotlib.axes.Axes.contour`

        .. versionchanged :: 1.3.0
            Added support for custom triangulations

        EXPERIMENTAL:  This method currently produces incorrect output due to a
        longstanding bug in 3D PolyCollection rendering.
        """
        zdir = kwargs.pop('zdir', 'z')
        offset = kwargs.pop('offset', None)

        had_data = self.has_data()

        tri, args, kwargs = Triangulation.get_from_args_and_kwargs(
                *args, **kwargs)
        X = tri.x
        Y = tri.y
        if 'Z' in kwargs:
            Z = kwargs.pop('Z')
        else:
            Z = args[0]
            # We do this so Z doesn't get passed as an arg to Axes.tricontourf
            args = args[1:]

        jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
        tri = Triangulation(jX, jY, tri.triangles, tri.mask)

        cset = Axes.tricontourf(self, tri, jZ, *args, **kwargs)
        self.add_contourf_set(cset, zdir, offset)

        self.auto_scale_xyz(X, Y, Z, had_data)
        return cset 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import tricontour [as 別名]
def tricontour(self, *args,
                   extend3d=False, stride=5, zdir='z', offset=None, **kwargs):
        """
        Create a 3D contour plot.

        .. versionchanged:: 1.3.0
            Added support for custom triangulations

        .. note::
            This method currently produces incorrect output due to a
            longstanding bug in 3D PolyCollection rendering.

        Parameters
        ----------
        X, Y, Z : array-likes
            Input data.
        extend3d : bool
            Whether to extend contour in 3D; defaults to False.
        stride : int
            Step size for extending contour.
        zdir : {'x', 'y', 'z'}
            The direction to use; defaults to 'z'.
        offset : scalar
            If specified, plot a projection of the contour lines at this
            position in a plane normal to zdir
        *args, **kwargs
            Other arguments are forwarded to `matplotlib.axes.Axes.tricontour`.

        Returns
        -------
        matplotlib.tri.tricontour.TriContourSet
        """
        had_data = self.has_data()

        tri, args, kwargs = Triangulation.get_from_args_and_kwargs(
                *args, **kwargs)
        X = tri.x
        Y = tri.y
        if 'Z' in kwargs:
            Z = kwargs.pop('Z')
        else:
            Z = args[0]
            # We do this so Z doesn't get passed as an arg to Axes.tricontour
            args = args[1:]

        jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
        tri = Triangulation(jX, jY, tri.triangles, tri.mask)

        cset = super().tricontour(tri, jZ, *args, **kwargs)
        self.add_contour_set(cset, extend3d, stride, zdir, offset)

        self.auto_scale_xyz(X, Y, Z, had_data)
        return cset 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import tricontour [as 別名]
def tricontourf(self, *args, zdir='z', offset=None, **kwargs):
        """
        Create a 3D filled contour plot.

        .. note::
            This method currently produces incorrect output due to a
            longstanding bug in 3D PolyCollection rendering.

        Parameters
        ----------
        X, Y, Z : array-likes
            Input data.
        zdir : {'x', 'y', 'z'}
            The direction to use; defaults to 'z'.
        offset : scalar
            If specified, plot a projection of the contour lines at this
            position in a plane normal to zdir
        *args, **kwargs
            Other arguments are forwarded to
            `matplotlib.axes.Axes.tricontourf`.

        Returns
        -------
        matplotlib.tri.tricontour.TriContourSet

        Notes
        -----
        .. versionadded:: 1.1.0
            The *zdir* and *offset* parameters.
        .. versionchanged:: 1.3.0
            Added support for custom triangulations
        """
        had_data = self.has_data()

        tri, args, kwargs = Triangulation.get_from_args_and_kwargs(
                *args, **kwargs)
        X = tri.x
        Y = tri.y
        if 'Z' in kwargs:
            Z = kwargs.pop('Z')
        else:
            Z = args[0]
            # We do this so Z doesn't get passed as an arg to Axes.tricontourf
            args = args[1:]

        jX, jY, jZ = art3d.rotate_axes(X, Y, Z, zdir)
        tri = Triangulation(jX, jY, tri.triangles, tri.mask)

        cset = super().tricontourf(tri, jZ, *args, **kwargs)
        self.add_contourf_set(cset, zdir, offset)

        self.auto_scale_xyz(X, Y, Z, had_data)
        return cset