Python transforms.IdentityTransform方法代码示例

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import IdentityTransform [as 别名]
def _get_label(self):
        # x in axes coords, y in display coords (to be updated at draw
        # time by _update_label_positions)
        label = mtext.Text(x=0.5, y=0,
            fontproperties=font_manager.FontProperties(
                               size=rcParams['axes.labelsize'],
                               weight=rcParams['axes.labelweight']),
            color=rcParams['axes.labelcolor'],
            verticalalignment='top',
            horizontalalignment='center',
            )

        label.set_transform(mtransforms.blended_transform_factory(
            self.axes.transAxes, mtransforms.IdentityTransform()))

        self._set_artist_props(label)
        self.label_position = 'bottom'
        return label 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import IdentityTransform [as 别名]
def __init__(self, xy, width, height, angle=0.0, **kwargs):
        """

        *angle*
          rotation in degrees (anti-clockwise)

        *fill* is a boolean indicating whether to fill the rectangle

        Valid kwargs are:
        %(Patch)s
        """

        Patch.__init__(self, **kwargs)

        self._x = xy[0]
        self._y = xy[1]
        self._width = width
        self._height = height
        self._angle = angle
        # Note: This cannot be calculated until this is added to an Axes
        self._rect_transform = transforms.IdentityTransform() 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import IdentityTransform [as 别名]
def __init__(self, axis_artist, line_path, transform,
                     line_mutation_scale):
            self._axis_artist = axis_artist
            self._line_transform = transform
            self._line_path = line_path
            self._line_mutation_scale = line_mutation_scale

            FancyArrowPatch.__init__(self,
                                     path=self._line_path,
                                     arrowstyle=self._ARROW_STYLE,
                                     arrow_transmuter=None,
                                     patchA=None,
                                     patchB=None,
                                     shrinkA=0.,
                                     shrinkB=0.,
                                     mutation_scale=line_mutation_scale,
                                     mutation_aspect=None,
                                     transform=IdentityTransform(),
                                     ) 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import IdentityTransform [as 别名]
def __init__(self, bbox1, bbox2, loc1, loc2=None, **kwargs):
        """
        *path* is a :class:`matplotlib.path.Path` object.

        Valid kwargs are:
        %(Patch)s

        .. seealso::

            :class:`Patch`
                For additional kwargs

        """
        if "transform" in kwargs:
           raise ValueError("transform should not be set")

        kwargs["transform"] = IdentityTransform()
        Patch.__init__(self, **kwargs)
        self.bbox1 = bbox1
        self.bbox2 = bbox2
        self.loc1 = loc1
        self.loc2 = loc2 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import IdentityTransform [as 别名]
def _get_label(self):
        # x in axes coords, y in display coords (to be updated at draw
        # time by _update_label_positions)
        label = mtext.Text(x=0.5, y=0,
                           fontproperties=font_manager.FontProperties(
                               size=rcParams['axes.labelsize'],
                               weight=rcParams['axes.labelweight']),
                           color=rcParams['axes.labelcolor'],
                           verticalalignment='top',
                           horizontalalignment='center')

        label.set_transform(mtransforms.blended_transform_factory(
            self.axes.transAxes, mtransforms.IdentityTransform()))

        self._set_artist_props(label)
        self.label_position = 'bottom'
        return label 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import IdentityTransform [as 别名]
def set_figure(self, fig):
        """
        Set the class:`~matplotlib.axes.Axes` figure

        accepts a class:`~matplotlib.figure.Figure` instance
        """
        martist.Artist.set_figure(self, fig)

        self.bbox = mtransforms.TransformedBbox(self._position,
                                                fig.transFigure)
        # these will be updated later as data is added
        self.dataLim = mtransforms.Bbox.null()
        self.viewLim = mtransforms.Bbox.unit()
        self.transScale = mtransforms.TransformWrapper(
            mtransforms.IdentityTransform())

        self._set_lim_and_transforms() 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import IdentityTransform [as 别名]
def _get_offset_text(self):
        # x in axes coords, y in display coords (to be updated at draw time)
        offsetText = mtext.Text(x=1, y=0,
            fontproperties=font_manager.FontProperties(
                                          size=rcParams['xtick.labelsize']),
            color=rcParams['xtick.color'],
            verticalalignment='top',
            horizontalalignment='right',
            )
        offsetText.set_transform(mtransforms.blended_transform_factory(
                self.axes.transAxes, mtransforms.IdentityTransform()))
        self._set_artist_props(offsetText)
        self.offset_text_position = 'bottom'
        return offsetText 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import IdentityTransform [as 别名]
def get_patch_transform(self):
        return transforms.IdentityTransform() 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import IdentityTransform [as 别名]
def bbox_artist(artist, renderer, props=None, fill=True):
    """
    This is a debug function to draw a rectangle around the bounding
    box returned by
    :meth:`~matplotlib.artist.Artist.get_window_extent` of an artist,
    to test whether the artist is returning the correct bbox.

    *props* is a dict of rectangle props with the additional property
    'pad' that sets the padding around the bbox in points.
    """
    if props is None:
        props = {}
    props = props.copy()  # don't want to alter the pad externally
    pad = props.pop('pad', 4)
    pad = renderer.points_to_pixels(pad)
    bbox = artist.get_window_extent(renderer)
    l, b, w, h = bbox.bounds
    l -= pad / 2.
    b -= pad / 2.
    w += pad
    h += pad
    r = Rectangle(xy=(l, b),
                  width=w,
                  height=h,
                  fill=fill,
                 )
    r.set_transform(transforms.IdentityTransform())
    r.set_clip_on(False)
    r.update(props)
    r.draw(renderer) 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import IdentityTransform [as 别名]
def _iter_collection_raw_paths(self, master_transform, paths,
                                   all_transforms):
        """
        This is a helper method (along with :meth:`_iter_collection`) to make
        it easier to write a space-efficent :meth:`draw_path_collection`
        implementation in a backend.

        This method yields all of the base path/transform
        combinations, given a master transform, a list of paths and
        list of transforms.

        The arguments should be exactly what is passed in to
        :meth:`draw_path_collection`.

        The backend should take each yielded path and transform and
        create an object that can be referenced (reused) later.
        """
        Npaths = len(paths)
        Ntransforms = len(all_transforms)
        N = max(Npaths, Ntransforms)

        if Npaths == 0:
            return

        transform = transforms.IdentityTransform()
        for i in xrange(N):
            path = paths[i % Npaths]
            if Ntransforms:
                transform = all_transforms[i % Ntransforms]
            yield path, transform + master_transform 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import IdentityTransform [as 别名]
def set_bbox(self, rectprops):
        """
        Draw a bounding box around self.  rectprops are any settable
        properties for a rectangle, eg facecolor='red', alpha=0.5.

          t.set_bbox(dict(facecolor='red', alpha=0.5))

        If rectprops has "boxstyle" key. A FancyBboxPatch
        is initialized with rectprops and will be drawn. The mutation
        scale of the FancyBboxPath is set to the fontsize.

        ACCEPTS: rectangle prop dict
        """

        # The self._bbox_patch object is created only if rectprops has
        # boxstyle key. Otherwise, self._bbox will be set to the
        # rectprops and the bbox will be drawn using bbox_artist
        # function. This is to keep the backward compatibility.

        if rectprops is not None and "boxstyle" in rectprops:
            props = rectprops.copy()
            boxstyle = props.pop("boxstyle")
            bbox_transmuter = props.pop("bbox_transmuter", None)

            self._bbox_patch = FancyBboxPatch(
                                    (0., 0.),
                                    1., 1.,
                                    boxstyle=boxstyle,
                                    bbox_transmuter=bbox_transmuter,
                                    transform=mtransforms.IdentityTransform(),
                                    **props)
            self._bbox = None
        else:
            self._bbox_patch = None
            self._bbox = rectprops 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import IdentityTransform [as 别名]
def get_window_extent(self, renderer):
        # TODO:check to ensure that this does not fail for
        # cases other than scatter plot legend
        return self.get_datalim(transforms.IdentityTransform()) 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import IdentityTransform [as 别名]
def __init__(self,
                 numsides,
                 rotation=0,
                 sizes=(1,),
                 **kwargs):
        """
        *numsides*
            the number of sides of the polygon

        *rotation*
            the rotation of the polygon in radians

        *sizes*
            gives the area of the circle circumscribing the
            regular polygon in points^2

        %(Collection)s

        Example: see :file:`examples/dynamic_collection.py` for
        complete example::

            offsets = np.random.rand(20,2)
            facecolors = [cm.jet(x) for x in np.random.rand(20)]
            black = (0,0,0,1)

            collection = RegularPolyCollection(
                numsides=5, # a pentagon
                rotation=0, sizes=(50,),
                facecolors = facecolors,
                edgecolors = (black,),
                linewidths = (1,),
                offsets = offsets,
                transOffset = ax.transData,
                )
        """
        Collection.__init__(self, **kwargs)
        self._sizes = sizes
        self._numsides = numsides
        self._paths = [self._path_generator(numsides)]
        self._rotation = rotation
        self.set_transform(transforms.IdentityTransform())