示例#1
0
 def plot(self, xs, ys, *args, **kwargs):
     '''
     Plot 2D or 3D data.
     ==========  ================================================
     Argument    Description
     ==========  ================================================
     *xs*, *ys*  X, y coordinates of vertices
     *zs*        z value(s), either one for all points or one for
                 each point.
     *zdir*      Which direction to use as z ('x', 'y' or 'z')
                 when plotting a 2d set.
     ==========  ================================================
     Other arguments are passed on to
     :func:`~matplotlib.axes.Axes.plot`
     '''
     had_data = self.has_data()
     zs = kwargs.pop('zs', 0)
     zdir = kwargs.pop('zdir', 'z')
     argsi = 0
     if len(args) > 0 and cbook.iterable(args[0]) and \
             len(xs) == len(args[0]) and cbook.is_scalar(args[0][0]):
         zs = args[argsi]
         argsi += 1
     elif len(args) > 0 and cbook.is_scalar(args[0]):
         zs = args[argsi]
         argsi += 1
     if not cbook.iterable(zs):
         zs = np.ones(len(xs)) * zs
     lines = Axes.plot(self, xs, ys, *args[argsi:], **kwargs)
     for line in lines:
         art3d.line_2d_to_3d(line, zs=zs, zdir=zdir)
     self.auto_scale_xyz(xs, ys, zs, had_data)
     return lines
示例#2
0
    def plot(self, xs, ys, *args, **kwargs):
        '''
        Plot 2D or 3D data.

        ==========  ================================================
        Argument    Description
        ==========  ================================================
        *xs*, *ys*  X, y coordinates of vertices

        *zs*        z value(s), either one for all points or one for
                    each point.
        *zdir*      Which direction to use as z ('x', 'y' or 'z')
                    when plotting a 2d set.
        ==========  ================================================

        Other arguments are passed on to
        :func:`~matplotlib.axes.Axes.plot`
        '''
        # FIXME: This argument parsing might be better handled
        #        when we set later versions of python for
        #        minimum requirements.  Currently at 2.4.
        #        Note that some of the reason for the current difficulty
        #        is caused by the fact that we want to insert a new
        #        (semi-optional) positional argument 'Z' right before
        #        many other traditional positional arguments occur
        #        such as the color, linestyle and/or marker.
        had_data = self.has_data()
        zs = kwargs.pop('zs', 0)
        zdir = kwargs.pop('zdir', 'z')

        argsi = 0
        # First argument is array of zs
        if len(args) > 0 and cbook.iterable(args[0]) and \
                len(xs) == len(args[0]) :
            # So, we know that it is an array with
            # first dimension the same as xs.
            # Next, check to see if the data contained
            # therein (if any) is scalar (and not another array).
            if len(args[0]) == 0 or cbook.is_scalar(args[0][0]) :
                zs = args[argsi]
                argsi += 1

        # First argument is z value
        elif len(args) > 0 and cbook.is_scalar(args[0]):
            zs = args[argsi]
            argsi += 1

        # Match length
        if not cbook.iterable(zs):
            zs = np.ones(len(xs)) * zs

        lines = Axes.plot(self, xs, ys, *args[argsi:], **kwargs)
        for line in lines:
            art3d.line_2d_to_3d(line, zs=zs, zdir=zdir)

        self.auto_scale_xyz(xs, ys, zs, had_data)
        return lines
示例#3
0
    def plot(self, xs, ys, *args, **kwargs):
        '''
        Plot 2D or 3D data.

        ==========  ================================================
        Argument    Description
        ==========  ================================================
        *xs*, *ys*  X, y coordinates of vertices

        *zs*        z value(s), either one for all points or one for
                    each point.
        *zdir*      Which direction to use as z ('x', 'y' or 'z')
                    when plotting a 2d set.
        ==========  ================================================

        Other arguments are passed on to
        :func:`~matplotlib.axes.Axes.plot`
        '''

        had_data = self.has_data()
        zs = kwargs.pop('zs', 0)
        zdir = kwargs.pop('zdir', 'z')

        argsi = 0
        # First argument is array of zs
        if len(args) > 0 and cbook.iterable(args[0]) and \
                len(xs) == len(args[0]) and cbook.is_scalar(args[0][0]):
            zs = args[argsi]
            argsi += 1

        # First argument is z value
        elif len(args) > 0 and cbook.is_scalar(args[0]):
            zs = args[argsi]
            argsi += 1

        # Match length
        if not cbook.iterable(zs):
            zs = np.ones(len(xs)) * zs

        lines = Axes.plot(self, xs, ys, *args[argsi:], **kwargs)
        for line in lines:
            art3d.line_2d_to_3d(line, zs=zs, zdir=zdir)

        self.auto_scale_xyz(xs, ys, zs, had_data)
        return lines
示例#4
0
    def plot(self, xs, ys, *args, **kwargs):
        """
        Plot 2D or 3D data.

        ==========  ================================================
        Argument    Description
        ==========  ================================================
        *xs*, *ys*  X, y coordinates of vertices

        *zs*        z value(s), either one for all points or one for
                    each point.
        *zdir*      Which direction to use as z ('x', 'y' or 'z')
                    when plotting a 2d set.
        ==========  ================================================

        Other arguments are passed on to
        :func:`~matplotlib.axes.Axes.plot`
        """

        had_data = self.has_data()
        zs = kwargs.pop("zs", 0)
        zdir = kwargs.pop("zdir", "z")

        argsi = 0
        # First argument is array of zs
        if len(args) > 0 and cbook.iterable(args[0]) and len(xs) == len(args[0]) and cbook.is_scalar(args[0][0]):
            zs = args[argsi]
            argsi += 1

        # First argument is z value
        elif len(args) > 0 and cbook.is_scalar(args[0]):
            zs = args[argsi]
            argsi += 1

        # Match length
        if not cbook.iterable(zs):
            zs = [zs] * len(xs)

        lines = Axes.plot(self, xs, ys, *args[argsi:], **kwargs)
        for line in lines:
            art3d.line_2d_to_3d(line, zs=zs, zdir=zdir)

        self.auto_scale_xyz(xs, ys, zs, had_data)
        return lines