Python Axes.contour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 contour [as 別名]
def contour(*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.contour(*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 contour [as 別名]
def contour(*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.contour(*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 contour [as 別名]
def colorbar(mappable=None, cax=None, ax=None, **kw):
    if mappable is None:
        mappable = gci()
        if mappable is None:
            raise RuntimeError('No mappable was found to use for colorbar '
                               'creation. First define a mappable such as '
                               'an image (with imshow) or a contour set ('
                               'with contourf).')
    if ax is None:
        ax = gca()

    ret = gcf().colorbar(mappable, cax = cax, ax=ax, **kw)
    draw_if_interactive()
    return ret 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import contour [as 別名]
def contour(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
        ==========  ================================================

        The positional and other keyword arguments are passed on to
        :func:`~matplotlib.axes.Axes.contour`

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

        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.contour(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 contour [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 contour [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 contour [as 別名]
def colorbar(mappable=None, cax=None, ax=None, **kw):
    if mappable is None:
        mappable = gci()
        if mappable is None:
            raise RuntimeError('No mappable was found to use for colorbar '
                               'creation. First define a mappable such as '
                               'an image (with imshow) or a contour set ('
                               'with contourf).')
    if ax is None:
        ax = gca()

    ret = gcf().colorbar(mappable, cax = cax, ax=ax, **kw)
    return ret 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import contour [as 別名]
def contour(*args, data=None, **kwargs):
    __ret = gca().contour(*args, data=data, **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 contour [as 別名]
def contour(*args, data=None, **kwargs):
    __ret = gca().contour(
        *args, **({"data": data} if data is not None else {}),
        **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 contour [as 別名]
def contourf(self, X, Y, 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 filled contour
                    on this position in plane normal to zdir
        ==========  ================================================

        The positional and keyword arguments are passed on to
        :func:`~matplotlib.axes.Axes.contourf`

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

        .. versionchanged :: 1.1.0
            The *zdir* and *offset* kwargs were added.
        '''

        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.contourf(self, jX, jY, 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 contour [as 別名]
def colorbar(mappable=None, cax=None, ax=None, **kw):
    if mappable is None:
        mappable = gci()
        if mappable is None:
            raise RuntimeError('No mappable was found to use for colorbar '
                               'creation. First define a mappable such as '
                               'an image (with imshow) or a contour set ('
                               'with contourf).')
    if ax is None:
        ax = gca()
    ret = gcf().colorbar(mappable, cax=cax, ax=ax, **kw)
    return ret 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import contour [as 別名]
def _3d_extend_contour(self, cset, stride=5):
        '''
        Extend a contour in 3D by creating
        '''

        levels = cset.levels
        colls = cset.collections
        dz = (levels[1] - levels[0]) / 2

        for z, linec in zip(levels, colls):
            topverts = art3d.paths_to_3d_segments(linec.get_paths(), z - dz)
            botverts = art3d.paths_to_3d_segments(linec.get_paths(), z + dz)

            color = linec.get_color()[0]

            polyverts = []
            normals = []
            nsteps = round(len(topverts[0]) / stride)
            if nsteps <= 1:
                if len(topverts[0]) > 1:
                    nsteps = 2
                else:
                    continue

            stepsize = (len(topverts[0]) - 1) / (nsteps - 1)
            for i in range(int(round(nsteps)) - 1):
                i1 = int(round(i * stepsize))
                i2 = int(round((i + 1) * stepsize))
                polyverts.append([topverts[0][i1],
                    topverts[0][i2],
                    botverts[0][i2],
                    botverts[0][i1]])

                v1 = np.array(topverts[0][i1]) - np.array(topverts[0][i2])
                v2 = np.array(topverts[0][i1]) - np.array(botverts[0][i1])
                normals.append(np.cross(v1, v2))

            colors = self._shade_colors(color, normals)
            colors2 = self._shade_colors(color, normals)
            polycol = art3d.Poly3DCollection(polyverts,
                                             facecolors=colors,
                                             edgecolors=colors2)
            polycol.set_sort_zpos(z)
            self.add_collection3d(polycol)

        for col in colls:
            self.collections.remove(col) 

# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import contour [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 contour [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