Python transforms.ScaledTranslation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 ScaledTranslation [as 别名]
def get_matrix(self):
        if self._invalid:
            if self.mode == 'rlabel':
                angle = (
                    np.deg2rad(self.axes.get_rlabel_position()) *
                    self.axes.get_theta_direction() +
                    self.axes.get_theta_offset()
                )
            else:
                if self.mode == 'min':
                    angle = self.axes._realViewLim.xmin
                elif self.mode == 'max':
                    angle = self.axes._realViewLim.xmax

            if self.mode in ('rlabel', 'min'):
                padx = np.cos(angle - np.pi / 2)
                pady = np.sin(angle - np.pi / 2)
            else:
                padx = np.cos(angle + np.pi / 2)
                pady = np.sin(angle + np.pi / 2)

            self._t = (self.pad * padx / 72, self.pad * pady / 72)
        return mtransforms.ScaledTranslation.get_matrix(self) 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import ScaledTranslation [as 别名]
def get_xaxis_text1_transform(self, pad_points):
        """
        Returns
        -------
        transform : Transform
            The transform used for drawing x-axis labels, which will add
            *pad_points* of padding (in points) between the axes and the label.
            The x-direction is in data coordinates and the y-direction is in
            axis corrdinates
        valign : {'center', 'top', 'bottom', 'baseline', 'center_baseline'}
            The text vertical alignment.
        halign : {'center', 'left', 'right'}
            The text horizontal alignment.

        Notes
        -----
        This transformation is primarily used by the `~matplotlib.axis.Axis`
        class, and is meant to be overridden by new kinds of projections that
        may need to place axis elements in different locations.
        """
        labels_align = rcParams["xtick.alignment"]
        return (self.get_xaxis_transform(which='tick1') +
                mtransforms.ScaledTranslation(0, -1 * pad_points / 72,
                                              self.figure.dpi_scale_trans),
                "top", labels_align) 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import ScaledTranslation [as 别名]
def get_xaxis_text2_transform(self, pad_points):
        """
        Returns
        -------
        transform : Transform
            The transform used for drawing secondary x-axis labels, which will
            add *pad_points* of padding (in points) between the axes and the
            label.  The x-direction is in data coordinates and the y-direction
            is in axis corrdinates
        valign : {'center', 'top', 'bottom', 'baseline', 'center_baseline'}
            The text vertical alignment.
        halign : {'center', 'left', 'right'}
            The text horizontal alignment.

        Notes
        -----
        This transformation is primarily used by the `~matplotlib.axis.Axis`
        class, and is meant to be overridden by new kinds of projections that
        may need to place axis elements in different locations.
        """
        labels_align = rcParams["xtick.alignment"]
        return (self.get_xaxis_transform(which='tick2') +
                mtransforms.ScaledTranslation(0, pad_points / 72,
                                              self.figure.dpi_scale_trans),
                "bottom", labels_align) 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import ScaledTranslation [as 别名]
def get_yaxis_text2_transform(self, pad_points):
        """
        Returns
        -------
        transform : Transform
            The transform used for drawing secondart y-axis labels, which will
            add *pad_points* of padding (in points) between the axes and the
            label.  The x-direction is in axis coordinates and the y-direction
            is in data corrdinates
        valign : {'center', 'top', 'bottom', 'baseline', 'center_baseline'}
            The text vertical alignment.
        halign : {'center', 'left', 'right'}
            The text horizontal alignment.

        Notes
        -----
        This transformation is primarily used by the `~matplotlib.axis.Axis`
        class, and is meant to be overridden by new kinds of projections that
        may need to place axis elements in different locations.
        """
        labels_align = rcParams["ytick.alignment"]
        return (self.get_yaxis_transform(which='tick2') +
                mtransforms.ScaledTranslation(pad_points / 72, 0,
                                              self.figure.dpi_scale_trans),
                labels_align, "left") 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import ScaledTranslation [as 别名]
def get_xaxis_text1_transform(self, pad_points):
        """
        Get the transformation used for drawing x-axis labels, which
        will add the given amount of padding (in points) between the
        axes and the label.  The x-direction is in data coordinates
        and the y-direction is in axis coordinates.  Returns a
        3-tuple of the form::

          (transform, valign, halign)

        where *valign* and *halign* are requested alignments for the
        text.

        .. note::

            This transformation is primarily used by the
            :class:`~matplotlib.axis.Axis` class, and is meant to be
            overridden by new kinds of projections that may need to
            place axis elements in different locations.

        """
        return (self.get_xaxis_transform(which='tick1') +
                mtransforms.ScaledTranslation(0, -1 * pad_points / 72.0,
                                              self.figure.dpi_scale_trans),
                "top", "center") 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import ScaledTranslation [as 别名]
def get_xaxis_text2_transform(self, pad_points):
        """
        Get the transformation used for drawing the secondary x-axis
        labels, which will add the given amount of padding (in points)
        between the axes and the label.  The x-direction is in data
        coordinates and the y-direction is in axis coordinates.
        Returns a 3-tuple of the form::

          (transform, valign, halign)

        where *valign* and *halign* are requested alignments for the
        text.

        .. note::

            This transformation is primarily used by the
            :class:`~matplotlib.axis.Axis` class, and is meant to be
            overridden by new kinds of projections that may need to
            place axis elements in different locations.

        """
        return (self.get_xaxis_transform(which='tick2') +
                mtransforms.ScaledTranslation(0, pad_points / 72.0,
                                              self.figure.dpi_scale_trans),
                "bottom", "center") 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import ScaledTranslation [as 别名]
def get_yaxis_text1_transform(self, pad_points):
        """
        Get the transformation used for drawing y-axis labels, which
        will add the given amount of padding (in points) between the
        axes and the label.  The x-direction is in axis coordinates
        and the y-direction is in data coordinates.  Returns a 3-tuple
        of the form::

          (transform, valign, halign)

        where *valign* and *halign* are requested alignments for the
        text.

        .. note::

            This transformation is primarily used by the
            :class:`~matplotlib.axis.Axis` class, and is meant to be
            overridden by new kinds of projections that may need to
            place axis elements in different locations.

        """
        return (self.get_yaxis_transform(which='tick1') +
                mtransforms.ScaledTranslation(-1 * pad_points / 72.0, 0,
                                              self.figure.dpi_scale_trans),
                "center", "right") 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import ScaledTranslation [as 别名]
def get_yaxis_text2_transform(self, pad_points):
        """
        Get the transformation used for drawing the secondary y-axis
        labels, which will add the given amount of padding (in points)
        between the axes and the label.  The x-direction is in axis
        coordinates and the y-direction is in data coordinates.
        Returns a 3-tuple of the form::

          (transform, valign, halign)

        where *valign* and *halign* are requested alignments for the
        text.

        .. note::

            This transformation is primarily used by the
            :class:`~matplotlib.axis.Axis` class, and is meant to be
            overridden by new kinds of projections that may need to
            place axis elements in different locations.

        """
        return (self.get_yaxis_transform(which='tick2') +
                mtransforms.ScaledTranslation(pad_points / 72.0, 0,
                                              self.figure.dpi_scale_trans),
                "center", "left") 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import ScaledTranslation [as 别名]
def _render_ep_lines(self):
        """ Render energy profile lines in canvas.
        """
        for line in self.lines:
            for idx in range(line.shadow_depth):
                identity_trans = transforms.IdentityTransform()
                offset = transforms.ScaledTranslation(idx, -idx, identity_trans)
                shadow_trans = self.axes.transData + offset

                # Create matplotlib Line2D.
                alpha = (line.shadow_depth-idx)/2.0/line.shadow_depth
                shadow_line = Line2D(line.x, line.y,
                                     linewidth=line.line_width,
                                     color=line.shadow_color,
                                     transform=shadow_trans,
                                     alpha=alpha)
                self.shadow_lines.append(shadow_line) 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import ScaledTranslation [as 别名]
def __init__(self, axes, *args, **kwargs):
        self._text1_translate = mtransforms.ScaledTranslation(
            0, 0,
            axes.figure.dpi_scale_trans)
        self._text2_translate = mtransforms.ScaledTranslation(
            0, 0,
            axes.figure.dpi_scale_trans)
        super().__init__(axes, *args, **kwargs) 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import ScaledTranslation [as 别名]
def _set_title_offset_trans(self, title_offset_points):
        """
        Set the offset for the title either from rcParams['axes.titlepad']
        or from set_title kwarg ``pad``.
        """
        self.titleOffsetTrans = mtransforms.ScaledTranslation(
                0.0, title_offset_points / 72,
                self.figure.dpi_scale_trans)
        for _title in (self.title, self._left_title, self._right_title):
            _title.set_transform(self.transAxes + self.titleOffsetTrans)
            _title.set_clip_box(None) 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import ScaledTranslation [as 别名]
def add_letter(ax: Axes = None, offset: float = 0, offset2: float = 0, letter: str = None):
    """ add a letter indicating which subplot it is to the given figure """
    global letter_index
    from matplotlib.transforms import Affine2D, ScaledTranslation

    # get the axes
    if ax is None:
        ax = plt.gca()

    # get the figure
    fig = ax.figure

    # get the font properties for figure letters
    font = get_letter_font_prop()

    # if no letter is given
    if letter is None:
        # use the letter_format from the font
        letter = font.letter_format
        # and add a letter given the current letter_index
        letter = letter.replace("a", chr(ord("a") + letter_index))
        letter = letter.replace("A", chr(ord("A") + letter_index))
        # increase the letter index
        letter_index += 1

    # add a transform that gives the coordinates relative to the left top corner of the axes in cm
    transform = Affine2D().scale(1 / 2.54, 1 / 2.54) + fig.dpi_scale_trans + ScaledTranslation(0, 1, ax.transAxes)

    # add a text a the given position
    ax.text(-0.5+offset, offset2, letter, fontproperties=font, transform=transform, ha="center", va="bottom", picker=True) 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import ScaledTranslation [as 别名]
def get_xaxis_text1_transform(self, pad_points):
        """
        Get the transformation used for drawing x-axis labels, which
        will add the given amount of padding (in points) between the
        axes and the label.  The x-direction is in data coordinates
        and the y-direction is in axis coordinates.  Returns a
        3-tuple of the form::

          (transform, valign, halign)

        where *valign* and *halign* are requested alignments for the
        text.

        .. note::

            This transformation is primarily used by the
            :class:`~matplotlib.axis.Axis` class, and is meant to be
            overridden by new kinds of projections that may need to
            place axis elements in different locations.

        """
        labels_align = matplotlib.rcParams["xtick.alignment"]

        return (self.get_xaxis_transform(which='tick1') +
                mtransforms.ScaledTranslation(0, -1 * pad_points / 72,
                                              self.figure.dpi_scale_trans),
                "top", labels_align) 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import ScaledTranslation [as 别名]
def get_xaxis_text2_transform(self, pad_points):
        """
        Get the transformation used for drawing the secondary x-axis
        labels, which will add the given amount of padding (in points)
        between the axes and the label.  The x-direction is in data
        coordinates and the y-direction is in axis coordinates.
        Returns a 3-tuple of the form::

          (transform, valign, halign)

        where *valign* and *halign* are requested alignments for the
        text.

        .. note::

            This transformation is primarily used by the
            :class:`~matplotlib.axis.Axis` class, and is meant to be
            overridden by new kinds of projections that may need to
            place axis elements in different locations.

        """
        labels_align = matplotlib.rcParams["xtick.alignment"]
        return (self.get_xaxis_transform(which='tick2') +
                mtransforms.ScaledTranslation(0, pad_points / 72,
                                              self.figure.dpi_scale_trans),
                "bottom", labels_align) 

# 需要导入模块: from matplotlib import transforms [as 别名]
# 或者: from matplotlib.transforms import ScaledTranslation [as 别名]
def get_yaxis_text2_transform(self, pad_points):
        """
        Get the transformation used for drawing the secondary y-axis
        labels, which will add the given amount of padding (in points)
        between the axes and the label.  The x-direction is in axis
        coordinates and the y-direction is in data coordinates.
        Returns a 3-tuple of the form::

          (transform, valign, halign)

        where *valign* and *halign* are requested alignments for the
        text.

        .. note::

            This transformation is primarily used by the
            :class:`~matplotlib.axis.Axis` class, and is meant to be
            overridden by new kinds of projections that may need to
            place axis elements in different locations.

        """
        labels_align = matplotlib.rcParams["ytick.alignment"]

        return (self.get_yaxis_transform(which='tick2') +
                mtransforms.ScaledTranslation(pad_points / 72, 0,
                                              self.figure.dpi_scale_trans),
                labels_align, "left")