Python matplotlib.text方法代码示例

# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import text [as 别名]
def set_foreground(self, fg, isRGBA=None):
        """
        Set the foreground color.  fg can be a matlab format string, a
        html hex color string, an rgb unit tuple, or a float between 0
        and 1.  In the latter case, grayscale is used.
        """
        # Implementation note: wxPython has a separate concept of pen and
        # brush - the brush fills any outline trace left by the pen.
        # Here we set both to the same colour - if a figure is not to be
        # filled, the renderer will set the brush to be transparent
        # Same goes for text foreground...
        DEBUG_MSG("set_foreground()", 1, self)
        self.select()
        GraphicsContextBase.set_foreground(self, fg, isRGBA)

        self._pen.SetColour(self.get_wxcolour(self.get_rgb()))
        self.gfx_ctx.SetPen(self._pen)
        self.unselect() 

# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import text [as 别名]
def _init_toolbar(self):
        DEBUG_MSG("_init_toolbar", 1, self)

        self._parent = self.canvas.GetParent()


        self.wx_ids = {}
        for text, tooltip_text, image_file, callback in self.toolitems:
            if text is None:
                self.AddSeparator()
                continue
            self.wx_ids[text] = wx.NewId()
            if text in ['Pan', 'Zoom']:
               self.AddCheckTool(self.wx_ids[text], _load_bitmap(image_file + '.png'),
                                 shortHelp=text, longHelp=tooltip_text)
            else:
               self.AddSimpleTool(self.wx_ids[text], _load_bitmap(image_file + '.png'),
                                  text, tooltip_text)
            bind(self, wx.EVT_TOOL, getattr(self, callback), id=self.wx_ids[text])

        self.Realize() 

# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import text [as 别名]
def xlabel(s, *args, **kwargs):
    """
    Set the *x* axis label of the current axis.

    Default override is::

      override = {
          'fontsize'            : 'small',
          'verticalalignment'   : 'top',
          'horizontalalignment' : 'center'
          }

    .. seealso::

        :func:`~matplotlib.pyplot.text`
            For information on how override and the optional args work
    """
    l =  gca().set_xlabel(s, *args, **kwargs)
    draw_if_interactive()
    return l 

# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import text [as 别名]
def ylabel(s, *args, **kwargs):
    """
    Set the *y* axis label of the current axis.

    Defaults override is::

        override = {
           'fontsize'            : 'small',
           'verticalalignment'   : 'center',
           'horizontalalignment' : 'right',
           'rotation'='vertical' : }

    .. seealso::

        :func:`~matplotlib.pyplot.text`
            For information on how override and the optional args
            work.
    """
    l = gca().set_ylabel(s, *args, **kwargs)
    draw_if_interactive()
    return l 

# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import text [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: import matplotlib [as 别名]
# 或者: from matplotlib import text [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: import matplotlib [as 别名]
# 或者: from matplotlib import text [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: import matplotlib [as 别名]
# 或者: from matplotlib import text [as 别名]
def get_xticklabels(self, minor=False, which=None):
        """
        Get the x tick labels as a list of :class:`~matplotlib.text.Text`
        instances.

        Parameters
        ----------
        minor : bool
           If True return the minor ticklabels,
           else return the major ticklabels

        which : None, ('minor', 'major', 'both')
           Overrides `minor`.

           Selects which ticklabels to return

        Returns
        -------
        ret : list
           List of :class:`~matplotlib.text.Text` instances.
        """
        return cbook.silent_list('Text xticklabel',
                                 self.xaxis.get_ticklabels(minor=minor,
                                                           which=which)) 

# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import text [as 别名]
def set_xticklabels(self, labels, fontdict=None, minor=False, **kwargs):
        """
        Call signature::

          set_xticklabels(labels, fontdict=None, minor=False, **kwargs)

        Set the xtick labels with list of strings *labels*. Return a
        list of axis text instances.

        *kwargs* set the :class:`~matplotlib.text.Text` properties.
        Valid properties are
        %(Text)s

        ACCEPTS: sequence of strings
        """
        return self.xaxis.set_ticklabels(labels, fontdict,
                                         minor=minor, **kwargs) 

# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import text [as 别名]
def get_yticklabels(self, minor=False, which=None):
        """
        Get the x tick labels as a list of :class:`~matplotlib.text.Text`
        instances.

        Parameters
        ----------
        minor : bool
           If True return the minor ticklabels,
           else return the major ticklabels

        which : None, ('minor', 'major', 'both')
           Overrides `minor`.

           Selects which ticklabels to return

        Returns
        -------
        ret : list
           List of :class:`~matplotlib.text.Text` instances.
        """
        return cbook.silent_list('Text yticklabel',
                                  self.yaxis.get_ticklabels(minor=minor,
                                                            which=which)) 

# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import text [as 别名]
def set_yticklabels(self, labels, fontdict=None, minor=False, **kwargs):
        """
        Call signature::

          set_yticklabels(labels, fontdict=None, minor=False, **kwargs)

        Set the y tick labels with list of strings *labels*.  Return a list of
        :class:`~matplotlib.text.Text` instances.

        *kwargs* set :class:`~matplotlib.text.Text` properties for the labels.
        Valid properties are
        %(Text)s

        ACCEPTS: sequence of strings
        """
        return self.yaxis.set_ticklabels(labels, fontdict,
                                         minor=minor, **kwargs) 

# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import text [as 别名]
def test_multiline():
    plt.figure()
    ax = plt.subplot(1, 1, 1)
    ax.set_title("multiline\ntext alignment")

    plt.text(
        0.2, 0.5, "TpTpTp\n$M$\nTpTpTp", size=20, ha="center", va="top")

    plt.text(
        0.5, 0.5, "TpTpTp\n$M^{M^{M^{M}}}$\nTpTpTp", size=20,
        ha="center", va="top")

    plt.text(
        0.8, 0.5, "TpTpTp\n$M_{q_{q_{q}}}$\nTpTpTp", size=20,
        ha="center", va="top")

    plt.xlim(0, 1)
    plt.ylim(0, 0.8)

    ax.set_xticks([])
    ax.set_yticks([]) 

# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import text [as 别名]
def get_xticklabels(self, minor=False, which=None):
        """
        Get the x tick labels as a list of :class:`~matplotlib.text.Text`
        instances.

        Parameters
        ----------
        minor : bool, optional
           If True return the minor ticklabels,
           else return the major ticklabels.

        which : None, ('minor', 'major', 'both')
           Overrides `minor`.

           Selects which ticklabels to return

        Returns
        -------
        ret : list
           List of :class:`~matplotlib.text.Text` instances.
        """
        return cbook.silent_list('Text xticklabel',
                                 self.xaxis.get_ticklabels(minor=minor,
                                                           which=which)) 

# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import text [as 别名]
def get_yticklabels(self, minor=False, which=None):
        """
        Get the y tick labels as a list of :class:`~matplotlib.text.Text`
        instances.

        Parameters
        ----------
        minor : bool
           If True return the minor ticklabels,
           else return the major ticklabels

        which : None, ('minor', 'major', 'both')
           Overrides `minor`.

           Selects which ticklabels to return

        Returns
        -------
        ret : list
           List of :class:`~matplotlib.text.Text` instances.
        """
        return cbook.silent_list('Text yticklabel',
                                 self.yaxis.get_ticklabels(minor=minor,
                                                           which=which)) 

# 需要导入模块: import matplotlib [as 别名]
# 或者: from matplotlib import text [as 别名]
def set_active(self, ind):
        """
        ind is a list of index numbers for the axes which are to be made active
        """
        DEBUG_MSG("set_active()", 1, self)
        self._ind = ind
        if ind != None:
            self._active = [ self._axes[i] for i in self._ind ]
        else:
            self._active = []
        # Now update button text wit active axes
        self._menu.updateButtonText(ind)