Python matplotlib.colors.to_rgba() Examples

def test_conversions():
    # to_rgba_array("none") returns a (0, 4) array.
    assert_array_equal(mcolors.to_rgba_array("none"), np.zeros((0, 4)))
    # a list of grayscale levels, not a single color.
    assert_array_equal(
        mcolors.to_rgba_array([".2", ".5", ".8"]),
        np.vstack([mcolors.to_rgba(c) for c in [".2", ".5", ".8"]]))
    # alpha is properly set.
    assert mcolors.to_rgba((1, 1, 1), .5) == (1, 1, 1, .5)
    assert mcolors.to_rgba(".1", .5) == (.1, .1, .1, .5)
    # builtin round differs between py2 and py3.
    assert mcolors.to_hex((.7, .7, .7)) == "#b2b2b2"
    # hex roundtrip.
    hex_color = "#1234abcd"
    assert mcolors.to_hex(mcolors.to_rgba(hex_color), keep_alpha=True) == \
        hex_color 

def test_fillbetween_cycle():
    fig, ax = plt.subplots()

    for j in range(3):
        cc = ax.fill_between(range(3), range(3))
        target = mcolors.to_rgba('C{}'.format(j))
        assert tuple(cc.get_facecolors().squeeze()) == tuple(target)

    for j in range(3, 6):
        cc = ax.fill_betweenx(range(3), range(3))
        target = mcolors.to_rgba('C{}'.format(j))
        assert tuple(cc.get_facecolors().squeeze()) == tuple(target)

    target = mcolors.to_rgba('k')

    for al in ['facecolor', 'facecolors', 'color']:
        cc = ax.fill_between(range(3), range(3), **{al: 'k'})
        assert tuple(cc.get_facecolors().squeeze()) == tuple(target)

    edge_target = mcolors.to_rgba('k')
    for j, el in enumerate(['edgecolor', 'edgecolors'], start=6):
        cc = ax.fill_between(range(3), range(3), **{el: 'k'})
        face_target = mcolors.to_rgba('C{}'.format(j))
        assert tuple(cc.get_facecolors().squeeze()) == tuple(face_target)
        assert tuple(cc.get_edgecolors().squeeze()) == tuple(edge_target) 

def test_fillbetween_cycle():
    fig, ax = plt.subplots()

    for j in range(3):
        cc = ax.fill_between(range(3), range(3))
        target = mcolors.to_rgba('C{}'.format(j))
        assert tuple(cc.get_facecolors().squeeze()) == tuple(target)

    for j in range(3, 6):
        cc = ax.fill_betweenx(range(3), range(3))
        target = mcolors.to_rgba('C{}'.format(j))
        assert tuple(cc.get_facecolors().squeeze()) == tuple(target)

    target = mcolors.to_rgba('k')

    for al in ['facecolor', 'facecolors', 'color']:
        cc = ax.fill_between(range(3), range(3), **{al: 'k'})
        assert tuple(cc.get_facecolors().squeeze()) == tuple(target)

    edge_target = mcolors.to_rgba('k')
    for j, el in enumerate(['edgecolor', 'edgecolors'], start=6):
        cc = ax.fill_between(range(3), range(3), **{el: 'k'})
        face_target = mcolors.to_rgba('C{}'.format(j))
        assert tuple(cc.get_facecolors().squeeze()) == tuple(face_target)
        assert tuple(cc.get_edgecolors().squeeze()) == tuple(edge_target) 

def test_fillbetween_cycle():
    fig, ax = plt.subplots()

    for j in range(3):
        cc = ax.fill_between(range(3), range(3))
        target = mcolors.to_rgba('C{}'.format(j))
        assert tuple(cc.get_facecolors().squeeze()) == tuple(target)

    for j in range(3, 6):
        cc = ax.fill_betweenx(range(3), range(3))
        target = mcolors.to_rgba('C{}'.format(j))
        assert tuple(cc.get_facecolors().squeeze()) == tuple(target)

    target = mcolors.to_rgba('k')

    for al in ['facecolor', 'facecolors', 'color']:
        cc = ax.fill_between(range(3), range(3), **{al: 'k'})
        assert tuple(cc.get_facecolors().squeeze()) == tuple(target)

    edge_target = mcolors.to_rgba('k')
    for j, el in enumerate(['edgecolor', 'edgecolors'], start=6):
        cc = ax.fill_between(range(3), range(3), **{el: 'k'})
        face_target = mcolors.to_rgba('C{}'.format(j))
        assert tuple(cc.get_facecolors().squeeze()) == tuple(face_target)
        assert tuple(cc.get_edgecolors().squeeze()) == tuple(edge_target) 

def test_conversions():
    # to_rgba_array("none") returns a (0, 4) array.
    assert_array_equal(mcolors.to_rgba_array("none"), np.zeros((0, 4)))
    # a list of grayscale levels, not a single color.
    assert_array_equal(
        mcolors.to_rgba_array([".2", ".5", ".8"]),
        np.vstack([mcolors.to_rgba(c) for c in [".2", ".5", ".8"]]))
    # alpha is properly set.
    assert mcolors.to_rgba((1, 1, 1), .5) == (1, 1, 1, .5)
    assert mcolors.to_rgba(".1", .5) == (.1, .1, .1, .5)
    # builtin round differs between py2 and py3.
    assert mcolors.to_hex((.7, .7, .7)) == "#b2b2b2"
    # hex roundtrip.
    hex_color = "#1234abcd"
    assert mcolors.to_hex(mcolors.to_rgba(hex_color), keep_alpha=True) == \
        hex_color 

def print_jpg(self, filename_or_obj, *args, **kwargs):
            """
            Other Parameters
            ----------------
            quality : int
                The image quality, on a scale from 1 (worst) to
                95 (best). The default is 95, if not given in the
                matplotlibrc file in the savefig.jpeg_quality parameter.
                Values above 95 should be avoided; 100 completely
                disables the JPEG quantization stage.

            optimize : bool
                If present, indicates that the encoder should
                make an extra pass over the image in order to select
                optimal encoder settings.

            progressive : bool
                If present, indicates that this image
                should be stored as a progressive JPEG file.
            """
            buf, size = self.print_to_buffer()
            if kwargs.pop("dryrun", False):
                return
            # The image is "pasted" onto a white background image to safely
            # handle any transparency
            image = Image.frombuffer('RGBA', size, buf, 'raw', 'RGBA', 0, 1)
            rgba = mcolors.to_rgba(rcParams['savefig.facecolor'])
            color = tuple([int(x * 255.0) for x in rgba[:3]])
            background = Image.new('RGB', size, color)
            background.paste(image, image)
            options = {k: kwargs[k]
                       for k in ['quality', 'optimize', 'progressive', 'dpi']
                       if k in kwargs}
            options.setdefault('quality', rcParams['savefig.jpeg_quality'])
            if 'dpi' in options:
                # Set the same dpi in both x and y directions
                options['dpi'] = (options['dpi'], options['dpi'])

            return background.save(filename_or_obj, format='jpeg', **options) 

def write_png(self, fname):
        """Write the image to png file with fname"""
        from matplotlib import _png
        im = self.to_rgba(self._A[::-1] if self.origin == 'lower' else self._A,
                          bytes=True, norm=True)
        _png.write_png(im, fname) 

def __init__(self, offset=(2,-2),
                 shadow_color='k', alpha=0.3, rho=0.3, **kwargs):
        """
        Parameters
        ----------
        offset : pair of floats
            The offset to apply to the path, in points.
        shadow_color : color
            The shadow color. Default is black.
            A value of ``None`` takes the original artist's color
            with a scale factor of `rho`.
        alpha : float
            The alpha transparency of the created shadow patch.
            Default is 0.3.
        rho : float
            A scale factor to apply to the rgbFace color if `shadow_rgbFace`
            is ``None``. Default is 0.3.
        **kwargs
            Extra keywords are stored and passed through to
            :meth:`AbstractPathEffect._update_gc`.

        """
        super(SimpleLineShadow, self).__init__(offset)
        if shadow_color is None:
            self._shadow_color = shadow_color
        else:
            self._shadow_color = mcolors.to_rgba(shadow_color)
        self._alpha = alpha
        self._rho = rho

        #: The dictionary of keywords to update the graphics collection with.
        self._gc = kwargs

        #: The offset transform object. The offset isn't calculated yet
        #: as we don't know how big the figure will be in pixels.
        self._offset_tran = mtransforms.Affine2D() 

def __init__(self, offset=(2, -2),
                 shadow_rgbFace=None, alpha=None,
                 rho=0.3, **kwargs):
        """
        Parameters
        ----------
        offset : pair of floats
            The offset of the shadow in points.
        shadow_rgbFace : color
            The shadow color.
        alpha : float
            The alpha transparency of the created shadow patch.
            Default is 0.3.
            http://matplotlib.1069221.n5.nabble.com/path-effects-question-td27630.html
        rho : float
            A scale factor to apply to the rgbFace color if `shadow_rgbFace`
            is not specified. Default is 0.3.
        **kwargs
            Extra keywords are stored and passed through to
            :meth:`AbstractPathEffect._update_gc`.

        """
        super(SimplePatchShadow, self).__init__(offset)

        if shadow_rgbFace is None:
            self._shadow_rgbFace = shadow_rgbFace
        else:
            self._shadow_rgbFace = mcolors.to_rgba(shadow_rgbFace)

        if alpha is None:
            alpha = 0.3

        self._alpha = alpha
        self._rho = rho

        #: The dictionary of keywords to update the graphics collection with.
        self._gc = kwargs

        #: The offset transform object. The offset isn't calculated yet
        #: as we don't know how big the figure will be in pixels.
        self._offset_tran = mtransforms.Affine2D() 

def test_errobar_nonefmt():
    # Check that passing 'none' as a format still plots errorbars
    x = np.arange(5)
    y = np.arange(5)

    plotline, _, barlines = plt.errorbar(x, y, xerr=1, yerr=1, fmt='none')
    assert plotline is None
    for errbar in barlines:
        assert np.all(errbar.get_color() == mcolors.to_rgba('C0')) 

def test_errorbar_colorcycle():

    f, ax = plt.subplots()
    x = np.arange(10)
    y = 2*x

    e1, _, _ = ax.errorbar(x, y, c=None)
    e2, _, _ = ax.errorbar(x, 2*y, c=None)
    ln1, = ax.plot(x, 4*y)

    assert mcolors.to_rgba(e1.get_color()) == mcolors.to_rgba('C0')
    assert mcolors.to_rgba(e2.get_color()) == mcolors.to_rgba('C1')
    assert mcolors.to_rgba(ln1.get_color()) == mcolors.to_rgba('C2') 

def to_png(self, filename, texstr, color='black', dpi=120, fontsize=14):
        """
        Writes a tex expression to a PNG file.

        Returns the offset of the baseline from the bottom of the
        image in pixels.

        *filename*
            A writable filename or fileobject

        *texstr*
            A valid mathtext string, e.g., r'IQ: $\\sigma_i=15$'

        *color*
            A valid matplotlib color argument

        *dpi*
            The dots-per-inch to render the text

        *fontsize*
            The font size in points

        Returns the offset of the baseline from the bottom of the
        image in pixels.
        """
        rgba, depth = self.to_rgba(texstr, color=color, dpi=dpi, fontsize=fontsize)
        _png.write_png(rgba, filename)
        return depth 

def to_rgba(self, texstr, color='black', dpi=120, fontsize=14):
        """
        *texstr*
            A valid mathtext string, e.g., r'IQ: $\\sigma_i=15$'

        *color*
            Any matplotlib color argument

        *dpi*
            The dots-per-inch to render the text

        *fontsize*
            The font size in points

        Returns a tuple (*array*, *depth*)

          - *array* is an NxM uint8 alpha ubyte mask array of
            rasterized tex.

          - depth is the offset of the baseline from the bottom of the
            image in pixels.
        """
        x, depth = self.to_mask(texstr, dpi=dpi, fontsize=fontsize)

        r, g, b, a = mcolors.to_rgba(color)
        RGBA = np.zeros((x.shape[0], x.shape[1], 4), dtype=np.uint8)
        RGBA[:, :, 0] = 255 * r
        RGBA[:, :, 1] = 255 * g
        RGBA[:, :, 2] = 255 * b
        RGBA[:, :, 3] = x
        return RGBA, depth 

def to_qcolor(color):
    """Create a QColor from a matplotlib color"""
    qcolor = QtGui.QColor()
    try:
        rgba = mcolors.to_rgba(color)
    except ValueError:
        warnings.warn('Ignoring invalid color %r' % color)
        return qcolor  # return invalid QColor
    qcolor.setRgbF(*rgba)
    return qcolor 

def __init__(self, offset=(2, -2),
                 shadow_rgbFace=None, alpha=None,
                 rho=0.3, **kwargs):
        """
        Parameters
        ----------
        offset : pair of floats
            The offset of the shadow in points.
        shadow_rgbFace : color
            The shadow color.
        alpha : float
            The alpha transparency of the created shadow patch.
            Default is 0.3.
            http://matplotlib.1069221.n5.nabble.com/path-effects-question-td27630.html
        rho : float
            A scale factor to apply to the rgbFace color if `shadow_rgbFace`
            is not specified. Default is 0.3.
        **kwargs
            Extra keywords are stored and passed through to
            :meth:`AbstractPathEffect._update_gc`.

        """
        super().__init__(offset)

        if shadow_rgbFace is None:
            self._shadow_rgbFace = shadow_rgbFace
        else:
            self._shadow_rgbFace = mcolors.to_rgba(shadow_rgbFace)

        if alpha is None:
            alpha = 0.3

        self._alpha = alpha
        self._rho = rho

        #: The dictionary of keywords to update the graphics collection with.
        self._gc = kwargs 

def __init__(self, offset=(2, -2),
                 shadow_color='k', alpha=0.3, rho=0.3, **kwargs):
        """
        Parameters
        ----------
        offset : pair of floats
            The offset to apply to the path, in points.
        shadow_color : color
            The shadow color. Default is black.
            A value of ``None`` takes the original artist's color
            with a scale factor of `rho`.
        alpha : float
            The alpha transparency of the created shadow patch.
            Default is 0.3.
        rho : float
            A scale factor to apply to the rgbFace color if `shadow_rgbFace`
            is ``None``. Default is 0.3.
        **kwargs
            Extra keywords are stored and passed through to
            :meth:`AbstractPathEffect._update_gc`.
        """
        super().__init__(offset)
        if shadow_color is None:
            self._shadow_color = shadow_color
        else:
            self._shadow_color = mcolors.to_rgba(shadow_color)
        self._alpha = alpha
        self._rho = rho
        #: The dictionary of keywords to update the graphics collection with.
        self._gc = kwargs 

def color_to_bytes(c: str) -> np.ndarray:
        from matplotlib.colors import to_rgba

        return np.array([round(c * 255) for c in to_rgba(c)], dtype=int)


# TODO: PlotConfig
# - align: left vs mid
# - shift/offset: bool
# - invert if trigger is negative: bool 

def write_png(self, fname):
        """Write the image to png file with fname"""
        im = self.to_rgba(self._A[::-1] if self.origin == 'lower' else self._A,
                          bytes=True, norm=True)
        _png.write_png(im, fname) 

def make_image(self, renderer, magnification=1.0, unsampled=False):
        # docstring inherited
        if self._A is None:
            raise RuntimeError('You must first set the image array')
        if unsampled:
            raise ValueError('unsampled not supported on PColorImage')
        fc = self.axes.patch.get_facecolor()
        bg = mcolors.to_rgba(fc, 0)
        bg = (np.array(bg)*255).astype(np.uint8)
        l, b, r, t = self.axes.bbox.extents
        width = (np.round(r) + 0.5) - (np.round(l) - 0.5)
        height = (np.round(t) + 0.5) - (np.round(b) - 0.5)
        # The extra cast-to-int is only needed for python2
        width = int(np.round(width * magnification))
        height = int(np.round(height * magnification))
        if self._rgbacache is None:
            A = self.to_rgba(self._A, bytes=True)
            self._rgbacache = A
            if self._A.ndim == 2:
                self.is_grayscale = self.cmap.is_gray()
        else:
            A = self._rgbacache
        vl = self.axes.viewLim
        im = _image.pcolor2(self._Ax, self._Ay, A,
                            height,
                            width,
                            (vl.x0, vl.x1, vl.y0, vl.y1),
                            bg)
        return im, l, b, IdentityTransform() 

def make_image(self, renderer, magnification=1.0, unsampled=False):
        # docstring inherited
        if self._A is None:
            raise RuntimeError('You must first set the image array')
        if unsampled:
            raise ValueError('unsampled not supported on NonUniformImage')
        A = self._A
        if A.ndim == 2:
            if A.dtype != np.uint8:
                A = self.to_rgba(A, bytes=True)
                self.is_grayscale = self.cmap.is_gray()
            else:
                A = np.repeat(A[:, :, np.newaxis], 4, 2)
                A[:, :, 3] = 255
                self.is_grayscale = True
        else:
            if A.dtype != np.uint8:
                A = (255*A).astype(np.uint8)
            if A.shape[2] == 3:
                B = np.zeros(tuple([*A.shape[0:2], 4]), np.uint8)
                B[:, :, 0:3] = A
                B[:, :, 3] = 255
                A = B
            self.is_grayscale = False
        x0, y0, v_width, v_height = self.axes.viewLim.bounds
        l, b, r, t = self.axes.bbox.extents
        width = (np.round(r) + 0.5) - (np.round(l) - 0.5)
        height = (np.round(t) + 0.5) - (np.round(b) - 0.5)
        width *= magnification
        height *= magnification
        im = _image.pcolor(self._Ax, self._Ay, A,
                           int(height), int(width),
                           (x0, x0+v_width, y0, y0+v_height),
                           _interpd_[self._interpolation])
        return im, l, b, IdentityTransform() 

def to_png(self, filename, texstr, color='black', dpi=120, fontsize=14):
        r"""
        Render a tex expression to a PNG file.

        Parameters
        ----------
        filename
            A writable filename or fileobject.
        texstr : str
            A valid mathtext string, e.g., r'IQ: $\sigma_i=15$'.
        color : color
            The text color.
        dpi : float
            The dots-per-inch setting used to render the text.
        fontsize : int
            The font size in points.

        Returns
        -------
        depth : int
            Offset of the baseline from the bottom of the image, in pixels.
        """
        from matplotlib import _png
        rgba, depth = self.to_rgba(
            texstr, color=color, dpi=dpi, fontsize=fontsize)
        _png.write_png(rgba, filename)
        return depth 

def __init__(self, offset=(2,-2),
                 shadow_color='k', alpha=0.3, rho=0.3, **kwargs):
        """
        Parameters
        ----------
        offset : pair of floats
            The offset to apply to the path, in points.
        shadow_color : color
            The shadow color. Default is black.
            A value of ``None`` takes the original artist's color
            with a scale factor of `rho`.
        alpha : float
            The alpha transparency of the created shadow patch.
            Default is 0.3.
        rho : float
            A scale factor to apply to the rgbFace color if `shadow_rgbFace`
            is ``None``. Default is 0.3.
        **kwargs
            Extra keywords are stored and passed through to
            :meth:`AbstractPathEffect._update_gc`.

        """
        super().__init__(offset)
        if shadow_color is None:
            self._shadow_color = shadow_color
        else:
            self._shadow_color = mcolors.to_rgba(shadow_color)
        self._alpha = alpha
        self._rho = rho

        #: The dictionary of keywords to update the graphics collection with.
        self._gc = kwargs

        #: The offset transform object. The offset isn't calculated yet
        #: as we don't know how big the figure will be in pixels.
        self._offset_tran = mtransforms.Affine2D() 

def __init__(self, offset=(2, -2),
                 shadow_rgbFace=None, alpha=None,
                 rho=0.3, **kwargs):
        """
        Parameters
        ----------
        offset : pair of floats
            The offset of the shadow in points.
        shadow_rgbFace : color
            The shadow color.
        alpha : float
            The alpha transparency of the created shadow patch.
            Default is 0.3.
            http://matplotlib.1069221.n5.nabble.com/path-effects-question-td27630.html
        rho : float
            A scale factor to apply to the rgbFace color if `shadow_rgbFace`
            is not specified. Default is 0.3.
        **kwargs
            Extra keywords are stored and passed through to
            :meth:`AbstractPathEffect._update_gc`.

        """
        super().__init__(offset)

        if shadow_rgbFace is None:
            self._shadow_rgbFace = shadow_rgbFace
        else:
            self._shadow_rgbFace = mcolors.to_rgba(shadow_rgbFace)

        if alpha is None:
            alpha = 0.3

        self._alpha = alpha
        self._rho = rho

        #: The dictionary of keywords to update the graphics collection with.
        self._gc = kwargs

        #: The offset transform object. The offset isn't calculated yet
        #: as we don't know how big the figure will be in pixels.
        self._offset_tran = mtransforms.Affine2D() 

def test_colors_no_float():
    # Gray must be a string to distinguish 3-4 grays from RGB or RGBA.
    with pytest.raises(ValueError):
        mcolors.to_rgba(0.4) 

def test_errobar_nonefmt():
    # Check that passing 'none' as a format still plots errorbars
    x = np.arange(5)
    y = np.arange(5)

    plotline, _, barlines = plt.errorbar(x, y, xerr=1, yerr=1, fmt='none')
    assert plotline is None
    for errbar in barlines:
        assert np.all(errbar.get_color() == mcolors.to_rgba('C0')) 

def test_errorbar_colorcycle():

    f, ax = plt.subplots()
    x = np.arange(10)
    y = 2*x

    e1, _, _ = ax.errorbar(x, y, c=None)
    e2, _, _ = ax.errorbar(x, 2*y, c=None)
    ln1, = ax.plot(x, 4*y)

    assert mcolors.to_rgba(e1.get_color()) == mcolors.to_rgba('C0')
    assert mcolors.to_rgba(e2.get_color()) == mcolors.to_rgba('C1')
    assert mcolors.to_rgba(ln1.get_color()) == mcolors.to_rgba('C2') 

def to_png(self, filename, texstr, color='black', dpi=120, fontsize=14):
        """
        Writes a tex expression to a PNG file.

        Returns the offset of the baseline from the bottom of the
        image in pixels.

        *filename*
            A writable filename or fileobject

        *texstr*
            A valid mathtext string, e.g., r'IQ: $\\sigma_i=15$'

        *color*
            A valid matplotlib color argument

        *dpi*
            The dots-per-inch to render the text

        *fontsize*
            The font size in points

        Returns the offset of the baseline from the bottom of the
        image in pixels.
        """
        rgba, depth = self.to_rgba(texstr, color=color, dpi=dpi, fontsize=fontsize)
        _png.write_png(rgba, filename)
        return depth 

def to_qcolor(color):
    """Create a QColor from a matplotlib color"""
    qcolor = QtGui.QColor()
    try:
        rgba = mcolors.to_rgba(color)
    except ValueError:
        warnings.warn('Ignoring invalid color %r' % color, stacklevel=2)
        return qcolor  # return invalid QColor
    qcolor.setRgbF(*rgba)
    return qcolor 

def make_image(self, renderer, magnification=1.0, unsampled=False):
        if self._A is None:
            raise RuntimeError('You must first set the image array')
        if unsampled:
            raise ValueError('unsampled not supported on PColorImage')
        fc = self.axes.patch.get_facecolor()
        bg = mcolors.to_rgba(fc, 0)
        bg = (np.array(bg)*255).astype(np.uint8)
        l, b, r, t = self.axes.bbox.extents
        width = (np.round(r) + 0.5) - (np.round(l) - 0.5)
        height = (np.round(t) + 0.5) - (np.round(b) - 0.5)
        # The extra cast-to-int is only needed for python2
        width = int(np.round(width * magnification))
        height = int(np.round(height * magnification))
        if self._rgbacache is None:
            A = self.to_rgba(self._A, bytes=True)
            self._rgbacache = A
            if self._A.ndim == 2:
                self.is_grayscale = self.cmap.is_gray()
        else:
            A = self._rgbacache
        vl = self.axes.viewLim
        im = _image.pcolor2(self._Ax, self._Ay, A,
                            height,
                            width,
                            (vl.x0, vl.x1, vl.y0, vl.y1),
                            bg)
        return im, l, b, IdentityTransform() 

def make_image(self, renderer, magnification=1.0, unsampled=False):
        if self._A is None:
            raise RuntimeError('You must first set the image array')

        if unsampled:
            raise ValueError('unsampled not supported on NonUniformImage')

        A = self._A
        if A.ndim == 2:
            if A.dtype != np.uint8:
                A = self.to_rgba(A, bytes=True)
                self.is_grayscale = self.cmap.is_gray()
            else:
                A = np.repeat(A[:, :, np.newaxis], 4, 2)
                A[:, :, 3] = 255
                self.is_grayscale = True
        else:
            if A.dtype != np.uint8:
                A = (255*A).astype(np.uint8)
            if A.shape[2] == 3:
                B = np.zeros(tuple([*A.shape[0:2], 4]), np.uint8)
                B[:, :, 0:3] = A
                B[:, :, 3] = 255
                A = B
            self.is_grayscale = False

        x0, y0, v_width, v_height = self.axes.viewLim.bounds
        l, b, r, t = self.axes.bbox.extents
        width = (np.round(r) + 0.5) - (np.round(l) - 0.5)
        height = (np.round(t) + 0.5) - (np.round(b) - 0.5)
        width *= magnification
        height *= magnification
        im = _image.pcolor(self._Ax, self._Ay, A,
                           int(height), int(width),
                           (x0, x0+v_width, y0, y0+v_height),
                           _interpd_[self._interpolation])

        return im, l, b, IdentityTransform()