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Python Axes.contour方法代码示例

本文整理汇总了Python中matplotlib.axes.Axes.contour方法的典型用法代码示例。如果您正苦于以下问题:Python Axes.contour方法的具体用法?Python Axes.contour怎么用?Python Axes.contour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matplotlib.axes.Axes的用法示例。


在下文中一共展示了Axes.contour方法的4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: contour

# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import contour [as 别名]
    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
开发者ID:CTPUG,项目名称:matplotlib,代码行数:37,代码来源:axes3d.py

示例2: contour

# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import contour [as 别名]
 def contour(self, X, Y, Z, levels=10, **kwargs):
     '''
     Create a 3D contour plot.
     ==========  ================================================
     Argument    Description
     ==========  ================================================
     *X*, *Y*,   Data values as numpy.arrays
     *Z*
     *levels*    Number of levels to use, defaults to 10. Can
                 also be a tuple of specific levels.
     *extend3d*  Whether to extend contour in 3D (default: False)
     *stride*    Stride (step size) for extending contour
     ==========  ================================================
     Other keyword arguments are passed on to
     :func:`~matplotlib.axes.Axes.contour`
     '''
     extend3d = kwargs.pop('extend3d', False)
     stride = kwargs.pop('stride', 5)
     nlevels = kwargs.pop('nlevels', 15)
     had_data = self.has_data()
     cset = Axes.contour(self, X, Y, Z, levels, **kwargs)
     if extend3d:
         self._3d_extend_contour(cset, stride)
     else:
         for z, linec in zip(cset.levels, cset.collections):
             art3d.line_collection_2d_to_3d(linec, z)
     self.auto_scale_xyz(X, Y, Z, had_data)
     return cset
开发者ID:,项目名称:,代码行数:30,代码来源:

示例3: contour

# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import contour [as 别名]
    def contour(self, *args, **kwargs):
        """
        If the **mantid** projection is chosen, it can be
        used the same as :py:meth:`matplotlib.axes.Axes.contour` for arrays,
        or it can be used to plot :class:`mantid.api.MatrixWorkspace`
        or :class:`mantid.api.IMDHistoWorkspace`. You can have something like::

            import matplotlib.pyplot as plt
            from mantid import plots

            ...

            fig, ax = plt.subplots(subplot_kw={'projection':'mantid'})
            ax.contour(workspace) #for workspaces
            ax.contour(x,y,z)     #for arrays
            fig.show()

        For keywords related to workspaces, see :func:`plotfunctions.contour`
        """
        if helperfunctions.validate_args(*args):
            logger.debug('using plotfunctions')
            workspace = args[0]
            return self.track_workspace_artist(workspace,
                                               plotfunctions.contour(self, *args, **kwargs))
        else:
            return Axes.contour(self, *args, **kwargs)
开发者ID:mantidproject,项目名称:mantid,代码行数:28,代码来源:__init__.py

示例4: contour

# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import contour [as 别名]
    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)

        zdir = "-" + zdir
        if extend3d:
            self._3d_extend_contour(cset, stride)
        else:
            for z, linec in zip(cset.levels, cset.collections):
                if offset is not None:
                    z = offset
                art3d.line_collection_2d_to_3d(linec, z, zdir=zdir)

        self.auto_scale_xyz(X, Y, Z, had_data)
        return cset
开发者ID:ranjithtenz,项目名称:cis530,代码行数:45,代码来源:axes3d.py


注:本文中的matplotlib.axes.Axes.contour方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。