Python _png.write_png方法代碼示例

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
def print_png(self, filename_or_obj, *args, **kwargs):
        FigureCanvasAgg.draw(self)
        renderer = self.get_renderer()
        original_dpi = renderer.dpi
        renderer.dpi = self.figure.dpi
        if is_string_like(filename_or_obj):
            filename_or_obj = open(filename_or_obj, 'wb')
            close = True
        else:
            close = False
        try:
            _png.write_png(renderer._renderer.buffer_rgba(),
                           renderer.width, renderer.height,
                           filename_or_obj, self.figure.dpi)
        finally:
            if close:
                filename_or_obj.close()
        renderer.dpi = original_dpi 

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
def draw_image(self, gc, x, y, im):
        # TODO: Almost no documentation for the behavior of this function.
        #       Something missing?

        # save the images to png files
        path = os.path.dirname(self.fh.name)
        fname = os.path.splitext(os.path.basename(self.fh.name))[0]
        fname_img = "%s-img%d.png" % (fname, self.image_counter)
        self.image_counter += 1
        im.flipud_out()
        rows, cols, buf = im.as_rgba_str()
        _png.write_png(buf, cols, rows, os.path.join(path, fname_img))

        # reference the image in the pgf picture
        writeln(self.fh, r"\begin{pgfscope}")
        self._print_pgf_clip(gc)
        h, w = im.get_size_out()
        f = 1. / self.dpi  # from display coords to inch
        writeln(self.fh, r"\pgftext[at=\pgfqpoint{%fin}{%fin},left,bottom]{\pgfimage[interpolate=true,width=%fin,height=%fin]{%s}}" % (x * f, y * f, w * f, h * f, fname_img))
        writeln(self.fh, r"\end{pgfscope}") 

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
def _writePng(self, data):
        """
        Write the image *data* into the pdf file using png
        predictors with Flate compression.
        """
        buffer = BytesIO()
        _png.write_png(data, buffer)
        buffer.seek(8)
        while True:
            length, type = struct.unpack(b'!L4s', buffer.read(8))
            if type == b'IDAT':
                data = buffer.read(length)
                if len(data) != length:
                    raise RuntimeError("truncated data")
                self.currentstream.write(data)
            elif type == b'IEND':
                break
            else:
                buffer.seek(length, 1)
            buffer.seek(4, 1)   # skip CRC 

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
def print_png(self, filename_or_obj, *args, **kwargs):
        FigureCanvasAgg.draw(self)
        renderer = self.get_renderer()
        original_dpi = renderer.dpi
        renderer.dpi = self.figure.dpi

        version_str = 'matplotlib version ' + __version__ + \
            ', http://matplotlib.org/'
        metadata = OrderedDict({'Software': version_str})
        user_metadata = kwargs.pop("metadata", None)
        if user_metadata is not None:
            metadata.update(user_metadata)

        try:
            with cbook.open_file_cm(filename_or_obj, "wb") as fh:
                _png.write_png(renderer._renderer, fh,
                               self.figure.dpi, metadata=metadata)
        finally:
            renderer.dpi = original_dpi 

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
def write_png(self, fname, noscale=False):
        """Write the image to png file with fname"""
        im = self.make_image()
        if im is None:
            return
        if noscale:
            numrows, numcols = im.get_size()
            im.reset_matrix()
            im.set_interpolation(0)
            im.resize(numcols, numrows)
        im.flipud_out()
        rows, cols, buffer = im.as_rgba_str()
        _png.write_png(buffer, cols, rows, fname) 

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
def get_diff_image(self):
        if self._png_is_old:
            # The buffer is created as type uint32 so that entire
            # pixels can be compared in one numpy call, rather than
            # needing to compare each plane separately.
            buff = np.frombuffer(
                self._renderer.buffer_rgba(), dtype=np.uint32)
            buff.shape = (
                self._renderer.height, self._renderer.width)

            if not self._force_full:
                last_buffer = np.frombuffer(
                    self._last_renderer.buffer_rgba(), dtype=np.uint32)
                last_buffer.shape = (
                    self._renderer.height, self._renderer.width)

                diff = buff != last_buffer
                output = np.where(diff, buff, 0)
            else:
                output = buff

            # Clear out the PNG data buffer rather than recreating it
            # each time.  This reduces the number of memory
            # (de)allocations.
            self._png_buffer.truncate()
            self._png_buffer.seek(0)

            # TODO: We should write a new version of write_png that
            # handles the differencing inline
            _png.write_png(
                output.tostring(),
                output.shape[1], output.shape[0],
                self._png_buffer)

            # Swap the renderer frames
            self._renderer, self._last_renderer = (
                self._last_renderer, self._renderer)
            self._force_full = False
            self._png_is_old = False
        return self._png_buffer.getvalue() 

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
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) 

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
def get_diff_image(self):
        if self._png_is_old:
            renderer = self.get_renderer()

            # The buffer is created as type uint32 so that entire
            # pixels can be compared in one numpy call, rather than
            # needing to compare each plane separately.
            buff = (np.frombuffer(renderer.buffer_rgba(), dtype=np.uint32)
                    .reshape((renderer.height, renderer.width)))

            # If any pixels have transparency, we need to force a full
            # draw as we cannot overlay new on top of old.
            pixels = buff.view(dtype=np.uint8).reshape(buff.shape + (4,))

            if self._force_full or np.any(pixels[:, :, 3] != 255):
                self.set_image_mode('full')
                output = buff
            else:
                self.set_image_mode('diff')
                last_buffer = (np.frombuffer(self._last_renderer.buffer_rgba(),
                                             dtype=np.uint32)
                               .reshape((renderer.height, renderer.width)))
                diff = buff != last_buffer
                output = np.where(diff, buff, 0)

            # TODO: We should write a new version of write_png that
            # handles the differencing inline
            buff = _png.write_png(
                output.view(dtype=np.uint8).reshape(output.shape + (4,)),
                None, compression=6, filter=_png.PNG_FILTER_NONE)

            # Swap the renderer frames
            self._renderer, self._last_renderer = (
                self._last_renderer, renderer)
            self._force_full = False
            self._png_is_old = False
            return buff 

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
def draw_image(self, gc, x, y, im, transform=None):
        # docstring inherited

        h, w = im.shape[:2]
        if w == 0 or h == 0:
            return

        # save the images to png files
        path = os.path.dirname(self.fh.name)
        fname = os.path.splitext(os.path.basename(self.fh.name))[0]
        fname_img = "%s-img%d.png" % (fname, self.image_counter)
        self.image_counter += 1
        _png.write_png(im[::-1], os.path.join(path, fname_img))

        # reference the image in the pgf picture
        writeln(self.fh, r"\begin{pgfscope}")
        self._print_pgf_clip(gc)
        f = 1. / self.dpi  # from display coords to inch
        if transform is None:
            writeln(self.fh,
                    r"\pgfsys@transformshift{%fin}{%fin}" % (x * f, y * f))
            w, h = w * f, h * f
        else:
            tr1, tr2, tr3, tr4, tr5, tr6 = transform.frozen().to_values()
            writeln(self.fh,
                    r"\pgfsys@transformcm{%f}{%f}{%f}{%f}{%fin}{%fin}" %
                    (tr1 * f, tr2 * f, tr3 * f, tr4 * f,
                     (tr5 + x) * f, (tr6 + y) * f))
            w = h = 1  # scale is already included in the transform
        interp = str(transform is None).lower()  # interpolation in PDF reader
        writeln(self.fh,
                r"\pgftext[left,bottom]"
                r"{\pgfimage[interpolate=%s,width=%fin,height=%fin]{%s}}" %
                (interp, w, h, fname_img))
        writeln(self.fh, r"\end{pgfscope}") 

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
def save_diff_image( expected, actual, output ):
   expectedImage = _png.read_png( expected )
   actualImage = _png.read_png( actual )
   actualImage, expectedImage = crop_to_same(actual, actualImage, expected, expectedImage)
   expectedImage = np.array(expectedImage).astype(np.float)
   actualImage = np.array(actualImage).astype(np.float)
   assert expectedImage.ndim==actualImage.ndim
   assert expectedImage.shape==actualImage.shape
   absDiffImage = abs(expectedImage-actualImage)

   # expand differences in luminance domain
   absDiffImage *= 255 * 10
   save_image_np = np.clip(absDiffImage, 0, 255).astype(np.uint8)
   height, width, depth = save_image_np.shape

   # The PDF renderer doesn't produce an alpha channel, but the
   # matplotlib PNG writer requires one, so expand the array
   if depth == 3:
      with_alpha = np.empty((height, width, 4), dtype=np.uint8)
      with_alpha[:,:,0:3] = save_image_np
      save_image_np = with_alpha

   # Hard-code the alpha channel to fully solid
   save_image_np[:,:,3] = 255

   _png.write_png(save_image_np.tostring(), width, height, output) 

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
def save_diff_image(expected, actual, output):
    expectedImage = _png.read_png(expected)
    actualImage = _png.read_png(actual)
    actualImage, expectedImage = crop_to_same(
        actual, actualImage, expected, expectedImage)
    expectedImage = np.array(expectedImage).astype(np.float)
    actualImage = np.array(actualImage).astype(np.float)
    assert expectedImage.ndim == actualImage.ndim
    assert expectedImage.shape == actualImage.shape
    absDiffImage = abs(expectedImage - actualImage)

    # expand differences in luminance domain
    absDiffImage *= 255 * 10
    save_image_np = np.clip(absDiffImage, 0, 255).astype(np.uint8)
    height, width, depth = save_image_np.shape

    # The PDF renderer doesn't produce an alpha channel, but the
    # matplotlib PNG writer requires one, so expand the array
    if depth == 3:
        with_alpha = np.empty((height, width, 4), dtype=np.uint8)
        with_alpha[:, :, 0:3] = save_image_np
        save_image_np = with_alpha

    # Hard-code the alpha channel to fully solid
    save_image_np[:, :, 3] = 255

    _png.write_png(save_image_np.tostring(), width, height, output) 

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
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) 

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
def _writePng(self, data):
        """
        Write the image *data* into the pdf file using png
        predictors with Flate compression.
        """

        buffer = BytesIO()
        _png.write_png(data, buffer)
        buffer.seek(8)
        written = 0
        header = bytearray(8)
        while True:
            n = buffer.readinto(header)
            assert n == 8
            length, type = struct.unpack(b'!L4s', bytes(header))
            if type == b'IDAT':
                data = bytearray(length)
                n = buffer.readinto(data)
                assert n == length
                self.currentstream.write(bytes(data))
                written += n
            elif type == b'IEND':
                break
            else:
                buffer.seek(length, 1)
            buffer.seek(4, 1)   # skip CRC 

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
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 

# 需要導入模塊: from matplotlib import _png [as 別名]
# 或者: from matplotlib._png import write_png [as 別名]
def save_diff_image(expected, actual, output):
    '''
    Parameters
    ----------
    expected : str
        File path of expected image.
    actual : str
        File path of actual image.
    output : str
        File path to save difference image to.
    '''
    # Drop alpha channels, similarly to compare_images.
    expectedImage = _png.read_png(expected)[..., :3]
    actualImage = _png.read_png(actual)[..., :3]
    actualImage, expectedImage = crop_to_same(
        actual, actualImage, expected, expectedImage)
    expectedImage = np.array(expectedImage).astype(float)
    actualImage = np.array(actualImage).astype(float)
    if expectedImage.shape != actualImage.shape:
        raise ImageComparisonFailure(
            "Image sizes do not match expected size: {} "
            "actual size {}".format(expectedImage.shape, actualImage.shape))
    absDiffImage = np.abs(expectedImage - actualImage)

    # expand differences in luminance domain
    absDiffImage *= 255 * 10
    save_image_np = np.clip(absDiffImage, 0, 255).astype(np.uint8)
    height, width, depth = save_image_np.shape

    # The PDF renderer doesn't produce an alpha channel, but the
    # matplotlib PNG writer requires one, so expand the array
    if depth == 3:
        with_alpha = np.empty((height, width, 4), dtype=np.uint8)
        with_alpha[:, :, 0:3] = save_image_np
        save_image_np = with_alpha

    # Hard-code the alpha channel to fully solid
    save_image_np[:, :, 3] = 255

    _png.write_png(save_image_np, output)