Python Bbox.from_bounds方法代碼示例

# 需要導入模塊: from matplotlib.transforms import Bbox [as 別名]
# 或者: from matplotlib.transforms.Bbox import from_bounds [as 別名]
def ylow(ax=None, ylow=None):
    """
    Set lower y limit to 0 if not data/errors go lower.
    Or set a specific value
    """
    if ax is None:
        ax = plt.gca()

    if ylow is None:
        # Check full figsize below 0
        bbox = Bbox.from_bounds(
            0, 0, ax.get_window_extent().width, -ax.get_window_extent().height
        )
        if overlap(ax, bbox) == 0:
            ax.set_ylim(0, None)
        else:
            ydata = overlap(ax, bbox, get_vertices=True)[1][:, 1]
            ax.set_ylim(np.min([np.min(ydata), ax.get_ylim()[0]]), None)

    else:
        ax.set_ylim(0, ax.get_ylim()[-1])

    return ax 

# 需要導入模塊: from matplotlib.transforms import Bbox [as 別名]
# 或者: from matplotlib.transforms.Bbox import from_bounds [as 別名]
def set_bbox_to_anchor(self, bbox, transform=None):
        """
        set the bbox that the child will be anchored.

        *bbox* can be a Bbox instance, a list of [left, bottom, width,
        height], or a list of [left, bottom] where the width and
        height will be assumed to be zero. The bbox will be
        transformed to display coordinate by the given transform.
        """
        if bbox is None or isinstance(bbox, BboxBase):
            self._bbox_to_anchor = bbox
        else:
            try:
                l = len(bbox)
            except TypeError:
                raise ValueError("Invalid argument for bbox : %s" % str(bbox))

            if l == 2:
                bbox = [bbox[0], bbox[1], 0, 0]

            self._bbox_to_anchor = Bbox.from_bounds(*bbox)

        self._bbox_to_anchor_transform = transform 

# 需要導入模塊: from matplotlib.transforms import Bbox [as 別名]
# 或者: from matplotlib.transforms.Bbox import from_bounds [as 別名]
def _update_offset_func(self, renderer, fontsize=None):
        """
        Update the offset func which depends on the dpi of the
        renderer (because of the padding).
        """
        if fontsize is None:
            fontsize = renderer.points_to_pixels(
                            self.prop.get_size_in_points())

        def _offset(w, h, xd, yd, renderer, fontsize=fontsize, self=self):
            bbox = Bbox.from_bounds(0, 0, w, h)
            borderpad = self.borderpad * fontsize
            bbox_to_anchor = self.get_bbox_to_anchor()

            x0, y0 = self._get_anchored_bbox(self.loc,
                                             bbox,
                                             bbox_to_anchor,
                                             borderpad)
            return x0 + xd, y0 + yd

        self.set_offset(_offset) 

# 需要導入模塊: from matplotlib.transforms import Bbox [as 別名]
# 或者: from matplotlib.transforms.Bbox import from_bounds [as 別名]
def adjust_bbox_png(fig, bbox_inches):
    """
    adjust_bbox for png (Agg) format
    """

    tr = fig.dpi_scale_trans

    _bbox = TransformedBbox(bbox_inches,
                            tr)
    x0, y0 = _bbox.x0, _bbox.y0
    fig.bbox_inches = Bbox.from_bounds(0, 0,
                                       bbox_inches.width,
                                       bbox_inches.height)

    x0, y0 = _bbox.x0, _bbox.y0
    w1, h1 = fig.bbox.width, fig.bbox.height
    fig.transFigure._boxout = Bbox.from_bounds(-x0, -y0,
                                                       w1, h1)
    fig.transFigure.invalidate()

    fig.bbox = TransformedBbox(fig.bbox_inches, tr)

    fig.patch.set_bounds(x0 / w1, y0 / h1,
                         fig.bbox.width / w1, fig.bbox.height / h1) 

# 需要導入模塊: from matplotlib.transforms import Bbox [as 別名]
# 或者: from matplotlib.transforms.Bbox import from_bounds [as 別名]
def __init__(self, width, height, dpi):
        if __debug__: verbose.report('RendererAgg.__init__', 'debug-annoying')
        RendererBase.__init__(self)
        self.texd = maxdict(50)  # a cache of tex image rasters

        self.dpi = dpi
        self.width = width
        self.height = height
        if __debug__: verbose.report('RendererAgg.__init__ width=%s, height=%s'%(width, height), 'debug-annoying')
        self._renderer = _RendererAgg(int(width), int(height), dpi, debug=False)
        self._filter_renderers = []

        if __debug__: verbose.report('RendererAgg.__init__ _RendererAgg done',
                                     'debug-annoying')

        self._update_methods()
        self.mathtext_parser = MathTextParser('Agg')

        self.bbox = Bbox.from_bounds(0, 0, self.width, self.height)
        if __debug__: verbose.report('RendererAgg.__init__ done',
                                     'debug-annoying') 

# 需要導入模塊: from matplotlib.transforms import Bbox [as 別名]
# 或者: from matplotlib.transforms.Bbox import from_bounds [as 別名]
def __call__(self, axes, renderer):
        """
        Return the adjusted position of the axes
        """
        bbox0 = self.get_original_position(axes, renderer)
        bbox = bbox0

        x1, y1, w, h = bbox.bounds
        extesion_fraction = self.extesion_fraction
        dw, dh = w*extesion_fraction, h*extesion_fraction

        if self.extend in ["min", "both"]:
            if self.orientation == "horizontal":
                x1 = x1 + dw
            else:
                y1 = y1+dh

        if self.extend in ["max", "both"]:
            if self.orientation == "horizontal":
                w = w-2*dw
            else:
                h = h-2*dh

        return Bbox.from_bounds(x1, y1, w, h) 

# 需要導入模塊: from matplotlib.transforms import Bbox [as 別名]
# 或者: from matplotlib.transforms.Bbox import from_bounds [as 別名]
def connect_bbox(bbox1, bbox2, loc1, loc2=None):
       if isinstance(bbox1, Rectangle):
          transform = bbox1.get_transfrom()
          bbox1 = Bbox.from_bounds(0, 0, 1, 1)
          bbox1 = TransformedBbox(bbox1, transform)

       if isinstance(bbox2, Rectangle):
          transform = bbox2.get_transform()
          bbox2 = Bbox.from_bounds(0, 0, 1, 1)
          bbox2 = TransformedBbox(bbox2, transform)

       if loc2 is None:
          loc2 = loc1

       x1, y1 = BboxConnector.get_bbox_edge_pos(bbox1, loc1)
       x2, y2 = BboxConnector.get_bbox_edge_pos(bbox2, loc2)

       verts = [[x1, y1], [x2,y2]]
       #Path()

       codes = [Path.MOVETO, Path.LINETO]

       return Path(verts, codes) 

# 需要導入模塊: from matplotlib.transforms import Bbox [as 別名]
# 或者: from matplotlib.transforms.Bbox import from_bounds [as 別名]
def set_bbox_to_anchor(self, bbox, transform=None):
        """
        set the bbox that the child will be anchored.

        *bbox* can be a Bbox instance, a list of [left, bottom, width,
        height], or a list of [left, bottom] where the width and
        height will be assumed to be zero. The bbox will be
        transformed to display coordinate by the given transform.
        """
        if bbox is None or isinstance(bbox, BboxBase):
            self._bbox_to_anchor = bbox
        else:
            try:
                l = len(bbox)
            except TypeError:
                raise ValueError("Invalid argument for bbox : %s" % str(bbox))

            if l == 2:
                bbox = [bbox[0], bbox[1], 0, 0]

            self._bbox_to_anchor = Bbox.from_bounds(*bbox)

        self._bbox_to_anchor_transform = transform
        self.stale = True 

# 需要導入模塊: from matplotlib.transforms import Bbox [as 別名]
# 或者: from matplotlib.transforms.Bbox import from_bounds [as 別名]
def _findoffset(self, width, height, xdescent, ydescent, renderer):
        "Helper function to locate the legend."

        if self._loc == 0:  # "best".
            x, y = self._find_best_position(width, height, renderer)
        elif self._loc in Legend.codes.values():  # Fixed location.
            bbox = Bbox.from_bounds(0, 0, width, height)
            x, y = self._get_anchored_bbox(self._loc, bbox,
                                           self.get_bbox_to_anchor(),
                                           renderer)
        else:  # Axes or figure coordinates.
            fx, fy = self._loc
            bbox = self.get_bbox_to_anchor()
            x, y = bbox.x0 + bbox.width * fx, bbox.y0 + bbox.height * fy

        return x + xdescent, y + ydescent 

# 需要導入模塊: from matplotlib.transforms import Bbox [as 別名]
# 或者: from matplotlib.transforms.Bbox import from_bounds [as 別名]
def get_size(self, renderer):
        xrel, xabs = axes_size.AddList(self.xsizes).get_size(renderer)
        yrel, yabs = axes_size.AddList(self.ysizes).get_size(renderer)
        bb = Bbox.from_bounds(*self.div.get_position()).transformed(
            self.div._fig.transFigure
        )
        w = bb.width / self.div._fig.dpi - xabs
        h = bb.height / self.div._fig.dpi - yabs
        return 0, min([w, h]) 

# 需要導入模塊: from matplotlib.transforms import Bbox [as 別名]
# 或者: from matplotlib.transforms.Bbox import from_bounds [as 別名]
def get_window_extent(self, renderer):
        '''
        get the bounding box in display space.
        '''
        w, h, xd, yd, offsets = self.get_extent_offsets(renderer)
        px, py = self.get_offset(w, h, xd, yd, renderer)
        return mtransforms.Bbox.from_bounds(px - xd, py - yd, w, h)