Python Axes._set_lim_and_transforms方法代码示例

# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import _set_lim_and_transforms [as 别名]
    def _set_lim_and_transforms(self):
        """
        This is called once when the plot is created to set up all the
        transforms for the data, text and grids.
        """
        rot = 30

        # Get the standard transform setup from the Axes base class
        Axes._set_lim_and_transforms(self)

        # Need to put the skew in the middle, after the scale and limits,
        # but before the transAxes. This way, the skew is done in Axes
        # coordinates thus performing the transform around the proper origin
        # We keep the pre-transAxes transform around for other users, like the
        # spines for finding bounds
        self.transDataToAxes = self.transScale + \
            self.transLimits + transforms.Affine2D().skew_deg(rot, 0)

        # Create the full transform from Data to Pixels
        self.transData = self.transDataToAxes + self.transAxes

        # Blended transforms like this need to have the skewing applied using
        # both axes, in axes coords like before.
        self._xaxis_transform = (transforms.blended_transform_factory(
            self.transScale + self.transLimits,
            transforms.IdentityTransform()) +
            transforms.Affine2D().skew_deg(rot, 0)) + self.transAxes

# 需要导入模块: from matplotlib.axes import Axes [as 别名]
# 或者: from matplotlib.axes.Axes import _set_lim_and_transforms [as 别名]
    def _set_lim_and_transforms(self):
        """
        This is called once when the plot is created to set up all the
        transforms for the data, text and grids.
        """
        #Get the standard transform setup from the Axes base class
        Axes._set_lim_and_transforms(self)

        #Save the unskewed data transform for our own use when regenerating
        #the data transform. The user might want this as well
        self._transDataNonskew = self.transData

        #Create a wrapper for the data transform, so that any object that
        #grabs this transform will see an updated version when we change it
        self.transData = transforms.TransformWrapper(
            transforms.IdentityTransform())

        #Create a wrapper for the proj. transform, so that any object that
        #grabs this transform will see an updated version when we change it
        self.transProjection = transforms.TransformWrapper(
            transforms.IdentityTransform())
        self._update_data_transform()